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Development of Sensors to Trace Toxins from Dinoflagellates and Other Algae to Seafood

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Abstract

Sensor technology based on immunological ELISA analyses combined with various electrochemical detection systems is being developed to quantify phycotoxins in algae and seafood. The use of disposable screen-printed electrodes for the immunosensor development is illustrated. Laboratory responses on contaminated mussels were obtained by domoic acid and saxitoxin sensors with detection limit of 5 and 0.1 ng/ml respectively. Application to algal extracts was also performed to detect domoic acid concentration in phytoplankton populations along Latium (Middle Tyrrhenian Sea, Mediterranean Sea) coast.
Algal Toxins: Nature, Occurrence, Effect
and Detection
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Effect
and Detection
Valtere Evangelista
Pisa, Italy
Laura Barsanti
Paolo Gualtieri
CNR Institute of Biophysics,
Algal Toxins: Nature, Occurrence,
Anna Maria Frassanito
Vincenzo Passarelli
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© 2008 Springer Science + Business Media B.V.
Sensor Systems for Biological Threats:
The Algal Toxins Case
Proceedings of the NATO Advanced Study Institute on
Pisa, Italy
30 September 11 October 2007
ISBN 978-1-4020-8480 -5 (e-book)
ISBN 978-1-4020-8479- 9 (PB)
ISBN 978-1-4020-8478-2 (HB)
Library of Congress Control Number: 2008928517
CONTENTS
Preface........................................................................................................ vii
The World of Algae ..................................................................................... 1
L. Barsanti, P. Coltelli, V. Evangelista, A.M. Frassanito,
V. Passarelli, N. Vesentini and P. Gualtieri
Cyanobacterial Diversity in Relation to the Environment ......................... 17
B.A. Whitton
Toxicity of Fresh Water Algal Toxins to Humans and Animals................ 45
A. Zaccaroni and D. Scaravelli
Toxicity of Sea Algal Toxins to Humans and Animals ............................. 91
A. Zaccaroni and D. Scaravelli
The Role of Allelopathy for Harmful Algae Bloom Formation............... 159
E. Granéli, P.S. Salomon and G.O. Fistarol
Checklist of Phytoplankton on the South Coast of Murcia
(SE Spain, SW Mediterranean Sea) .........................................................
N. Bouza and M. Aboal
Toxic Pseudo-nitzschia Populations from the Middle Tyrrhenian Sea
R. Congestri, S. Polizzano and P. Albertano
Algal Blooms in Estonian Small Lakes ...................................................
A. Rakko, R. Laugaste and I. Ott
Comparative Estimation of Sensor Organisms Sensitivity
P. Gualtieri and T. Parshykova
179
(Mediterranean Sea, Italy)........................................................................ 197
211
for Determination of Water Toxicity ....................................................... 221
v
CONTENTS
vi
Biochemical Method for Quantitative Estimation of Cyanobacteria
L.A. Sirenko and T.V. Parshykova
Using of Laser-doppler Spectrometry for Determination of Toxicity
V. Vlasenko, T. Parshykova and V. Tretyakov
PCR Techniques as Diagnostic Tools for the Identification
A. Penna and L. Galluzzi
S. Diercks, K. Metfies, F. Schröder, L.K. Medlin and F. Colijn
Development of Sensors to Trace Toxins from Dinoflagellates
P. Albertano, R. Congestri, L. Micheli, D. Moscone
and G. Palleschi
Recombinant Formaldehyde Dehydrogenase and Gene-engineered
Methylotrophic Yeasts as Bioanalitycal Instruments for Assay
G. Gayda, O. Demkiv, S. Paryzhak, W. Schuhmann
and Ɇ. Gonchar
A. Scozzari
L. Barsanti, P. Coltelli, V. Evangelista, A.M. Frassanito,
V. Passarelli, N. Vesentini and P. Gualtieri
Toxins ...................................................................................................... 235
Degree of Chemical and Natural Compounds.......................................... 247
and Enumeration of Toxic Marine Phytoplankton Species...................... 261
Detection of Phytoplankton with Nucleic Acid Sensors.......................... 285
and other Algae to Seafood...................................................................... 301
of Toxic Formaldehyde............................................................................ 311
Electrochemical Sensing Methods: A Brief Review................................ 335
Oddities and Curiosities in the Algal World............................................ 353
Index ........................................................................................................ 393
List of Contributors.................................................................................. 397
PREFACE
This volume contains the lectures and seminars given at the NATO
Advanced Study Institute on “Sensor Systems for Biological Threads: The
Algal Toxins Case”, held in Pisa, Italy in October, 2007. The Institute was
sponsored and funded by the Scientific Affairs Division of NATO. It is my
pleasant duty to thank this institution.
This ASI offered updated information on how far the research on algal
toxins has gone in the exploration of structures, biosynthesis and regulation
of toxins, and the development of technology for bio-monitoring these com-
pounds.
Algae can form heavy growths in ponds, lakes, reservoirs and slow-
moving rivers throughout the world; algae can house toxins which are us-
ually released into water when the cells rupture or die. Hundreds of toxins
have been identified so far. Detection methods, including rapid screening,
have been developed to help us learning more about them, especially to find
out which toxins are a real threat for people and what conditions encourage
their production and accumulation. Early detection of algal toxins is an im-
portant aspect for public safety and natural environment, and significant
efforts are underway to develop effective and reliable tools that can be used
for this purpose.
A quick reacting biosensor simple to use has been a goal for many
years. There are four main challenges that must be dealt with in the choice
of naturally occurring biosensors: identification of a commonly occurring
viable biosensor, establishment of a reliable method for monitoring and col-
lecting data on the biosensor, protocols for the analysis and interpretation
of the data collected, and packaging the system so that it could move out of
the lab environment and into the field. This book will offer updated infor-
mation on the development of automated systems for in situ detection of
harmful algae and their toxin. Moreover, this book will offer a large amount
of data by using a multidisciplinary approach strategy, which utilizes not
only physical, chemistry and engineering sciences, but also biological
The first part of the book deals with a general overview of the toxins
and toxicity related to the algal world, whereas the second part deals with
uses and applications of the different kind of sensors so far developed. The
first part includes an introduction on the main algal features written by our
group; than, Professor Whitton describes the diversity of the cyanobacteria,
information.
vii
PREFACE
viii
phenomenon, i.e. any influence on the growth and development of natural
description of toxic algal blooms in several European geographical areas by
Dr. Congestri, Dr. Rakko and Dr. Bouza.
sms, the use of biochemical methods and laser Doppler techniques for toxin
determination presented by Professor Parshykova; the use of nucleic acid
sensor sensors for identification of toxic species illustrated by Dr. Penna
and Dr. Dierks; the use of immunological ELISA analyses combined with
various electrochemical detection systems to quantify algal toxins tested by
Professor Albertano; a review by Dr. Scozzari on sensors based on electro-
I do hope this book has caught the spirit in which the ASI was conceived.
Toxins Case”.
chemical methods, and a gene-engineered yeast usable as biochemical ins-
The second part of the book deals with the review of sensor organi-
trument for toxin assessment by Dr. Gonchar.
systems produced by the algae metabolites. The first part ends with the
Director of the ASI “Sensor Systems for Biological Threads:
The Algal
Paolo Gualtieri
algal toxins; Professor Graneli and Doctor Fistarol describe the allelophaty
the algal division that possesses more toxic species, in relation to the environ-
ment; Dr. Zaccaroni gives us an overview on the fresh water and marine
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 1
THE WORLD OF ALGAE
LAURA BARSANTI
1
, PRIMO COLTELLI
2
, VALTERE
EVANGELISTA
1
, ANNA MARIA FRASSANITO
1
,
VINCENZO PASSARELLI
1
, NICOLETTA VESENTINI
3
AND PAOLO GUALTIERI
1
*
1
Istituto di Biofisica C.N.R.,
2
Istituto Scienza e Tecnologia
dell’ Informazione C.N.R.,
3
Istituto di Fisiologia Clinica C.N.R.
Area della Ricerca di Pisa, Via Moruzzi 1, 56124, Pisa, Italy
outline of some algae characteristics and general information on their classi-
fication, distribution, structure, nutrition and reproduction. In the last para-
graph a short account on the origin of eukaryotic algae is set out.
1. Introduction
In the following sections of this chapter we will try to give an outline of
some algae characteristics and general information on their classification,
distribution, structure, nutrition and reproduction. In the last paragraph a
short account on the origin of eukaryotic algae is set out. Some of the most
peculiar and interesting features mentioned in these pages will be discussed
with more details in the last chapter of the book. Although the term algae
has no formal taxonomic standing, it is nevertheless routinely used to indi-
cate a polyphyletic and artificial assemblage, of O
2
–evolving, photosynthetic
organisms. Then, how can we distinguish algae from plants? The answer is
quite easy since the similarities we have listed between algae and plants are
much fewer than their differences. Actually, plants exhibit an elevated level
of differentiation (e.g. roots, leaves, stems, xylem/phloem vascular network);
______
*To whom correspondence should be addressed. Paolo Gualtieri, Istituto di Biofisica C.N.R., Area
della Ricerca di Pisa, Via Moruzzi 1, 56124, Pisa, Italy. Email: paolo.gualtieri@pi.ibf.cnr.it
Abstract: In the following sections of this chapter we will try to give an
Keywords: Algae, endosymbiosis theory, pigments distribution
© Springer Science + Business Media B.V. 2008
L. BARSANTI ET AL.
2
their reproductive organs are surrounded by a jacket of sterile cells; their
multicellular diployd embryonic development is dependent on the parental
gametophyte for a significant length of time (and this feature is the source
of the name embryophytes given to plants); they exhibit tissue-generating
parenchymatous meristems at the shoot and root apices which give rise to
widely differentiating tissues and, last but not least, all plants have exclu-
sively a sexual reproduction with an alternation between a haploid game-
tophyte and a diploid sporophyte. Algae do not form embryos, all the cells
of their reproductive structures are potentially fertile and sterile cells with
protective function are absent; parenchymatous development is present only
in some groups and, finally, they exhibit both sexual and asexual reproduc-
tion. Moreover, in contrast with the uniformity of vascular plants, algae occur
in many dissimilar forms such as microscopic single cell, macroscopic multi-
cellular loose, or filmy conglomerations, matted or branched colonies, or more
complex leafy or blade forms. Same environmental pressure led to the parallel,
independent evolution of similar traits in both plants and algae, while the
transition from relatively stable aquatic environment to a gaseous medium ex-
posed plants to new physical conditions that resulted in key physiological
and structural changes necessary to be able to invade upland habitats and
fully exploit them.
The profound diversity of size ranging from picoplankton only 0.2–2.0
µm in diameter to giant kelps with fronds up to 60 m in length, ecology and
colonized habitats, cellular structure, levels of organization and morphology,
pigments for photosynthesis, reserve and structural polysaccharides, type of
life history, reflects the varied evolutionary origins of this heterogeneous
assemblage of organisms, including both prokaryote and eukaryote species.
The term algae refers to macroalgae and a highly diversified group of micro-
organisms known as microalgae. The number of algal species has been esti-
mated at between one to ten million, and most of them are microalgae
(Barsanti and Gualtieri, 2006).
2. Classification
No easily definable classification system acceptable to all exists for algae,
since taxonomy is under constant and rapid revision at all levels following
every day new genetic and ultrastructural evidence. Keeping in mind that
the polyphyletic nature of the algal group is somewhat inconsistent with
traditional taxonomic groupings, and that taxonomyc opinion may change
as information accumulates, we will adopt a tentative scheme of classi-
Graham and Wilcox (2000), Lewin, 2002 (Table 1).
fication mainly based on that of Van Den Hoek et al. (1995), and compared
with the classifications of Bold and Wynne (1978), Margulis et al. (1990),
THE WORLD OF ALGAE
3
TABLE 1. Classification scheme of the different algal groups.
3. Distribution and Occurrence
Distribution of algae can be aquatic or subaerial, when they are exposed to
the atmosphere rather than being submerged in water. Aquatic algae are
found almost anywhere from freshwater spring to salt lakes, with tolerance
Kingdom Division Class
Cyanophyta Cyanophyceae
PROKARYOTA
EUBACTERIA
Prochlorophyta Prochlorophyceae
Glaucophyta Glaucophyceae
Bangiophyceae
Rhodophyta
Florideophyceae
Chrysophyceae
Xanthophyceae
Eustigmatophyceae
Bacillarophyceae
Raphidophyceae
Dictyochophyceae
Heterokontophyta
Phaeophyceae
Haptophyta Haptophyceae
Cryptophyta Cryptophyceae
Dinophyta Dinophyceae
Euglenophyta Euglenophyceae
Chlorarachniophyta Chlorarachniophyceae
Prasinophyceae
Chlorophyceae
Ulvophyceae
Cladophorophyceae
Bryopsidophyceae
Zygnematophyceae
Trentepohliophyceae
Klebsormidiophyceæ
Charophyceae
EUKARYOTA
Chlorophyta
Dasycladophyceae
L. BARSANTI ET AL.
4
They can be either planktonic, as is the case of most unicellular species,
living suspended throughout the lighted regions of all water bodies includ-
ing under ice in polar areas, or they can be benthonic, living attached to the
bottom or within sediments, limited to shallow areas because of the rapid
attenuation of light with depth. Benthic algae can grow attached on stones
(epilithic), on mud or sand (epipelic), on other algae or plants (epiphytic) or
on animals (epizoic). On the basis of their growth habits, marine algae are
designated as supralittoral, when they grow above the high tide-level, within
reach of waves and spray; intertidal, when they grow on shores exposed to
tidal cycles, or sublittoral, when they grow in the benthic environment from
the extreme low-water level to around 200 m deep, in the case of very clear
water (Bourelly, 1966, 1968, 1970).
Oceans contain more than 5000 species of planktonic microscopic algae,
the phytoplankton, which forms the base of the marine food chain and pro-
duces roughly 50% of the oxygen we inhale. However, phytoplankton may
become a cause of death when the population increases in response to pollu-
tion with nutrients such as nitrogen and phosphate and it’s blooms reduce
the water transparency, causing the death of other photosynthetic organisms.
They are often responsible for massive fish and bird kills, producing poisons
and toxins (Tilden, 1935). The cause and effect of pollution and algal blooms,
the toxins produced by algae and their outcome as well as the sensors adopted
to detect these phenomena will be the issue of the other chapters of this book.
The temperate pelagic marine environment is also the realm of giant algae,
the kelp. These algae have thalli up to 60 meter long, and the community can
be so crowded that it forms a real submerged forest. The kelp not only in-
habits temperate waters but may also form luxuriant thickets beneath polar ice
sheets, and can survive at very low depth. Internal freshwater environment dis-
play a wide diversity of form of microalgae, although not exhibiting the pheno-
menal size range of their marine relatives. Freshwater phytoplankton and the
A considerable number of subaerial algae have adapted to life on land.
The activities of land algae are thought to convert rock into soil, to mini-
mize soil erosion, to increase water retention and nutrient availability for
plants growing nearby. Algae also form mutually beneficial partnership with
other organisms. They live with fungi to form lichens, or inside the cells of
reef-building corals, in both cases providing oxygen and complex nutrients
to their partner, and in return receiving protection and simple nutrients. This
arrangement enables both partners to survive in conditions that they could
not endure alone.
The different type of habitat colonized by the algae of the divisions is
shown in Table 2.
benthonic algae form the base of the aquatic food chain.
for a broad range of pH, temperature, turbidity, O
2
and CO
2
concentration.
THE WORLD OF ALGAE
5
TABLE 2. Distribution of algal divisions. (n.d.: not detected).
Habitat
Division
Marine Freshwater Terrestrial Symbiotic
Cyanophyta yes yes yes yes
Prochlorophyta yes n.d. n.d. yes
Glaucophyta n.d. yes yes yes
Rhodophyta yes yes yes yes
Heterokontophyta yes yes yes yes
Haptophyta yes yes yes yes
Cryptophyta yes yes n.d. yes
Chlorarachniophyta yes n.d. n.d. yes
Dinophyta yes yes n.d. yes
Euglenophyta yes yes yes yes
Chlorophyta yes yes yes yes
4. Structures
On the basis of thallus structure algae may have a unicellular, filamentous,
siphonous or parenchimatous organization. Examples of the distinctive morp-
hological characteristics within different divisions are set forth in Tables 3–5.
TABLE 3. Thallus morphology in the different algal divisions. (n.a.: not available; n.d.: not
detected).
Division Unicellular and non-motile Unicellular and motile
Cyanophyta Synechococcus n.d.
Prochlorophyta Prochloron n.d.
Glaucophyta Glaucocystis Gloeochaete
Rhodophyta Porphyridium n.d.
Heterokontophyta Navicula Ochromonas
Haptophyta n.d. Chrysochromulina
Cryptophyta n.d. Cryptomonas
Dynophyta Dinococcus Gonyaulax
Euglenophyta Ascoglena Euglena
Chlorarachniophyta n.d. Chlorarachnion
Chlorophyta Chlorella Dunaliella
L. BARSANTI ET AL.
6
TABLE 4.Thallus morphology in the different algal divisions. (n.a.: not available; n.d.: not
detected).
Division Colonial and non-motile Colonial and motile
Cyanophyta Anacystis n.d.
Prochlorophyta n.d. n.d.
Glaucophyta n.d. n.d.
Rhodophyta Cyanoderma n.d.
Heterokontophyta Chlorobotrys Synura
Haptophyta n.d. Corymbellus
Cryptophyta n.d. n.d.
Dynophyta Gloeodinium n.d.
Euglenophyta Colacium n.d.
Chlorarachniophyta n.d. n.d.
Chlorophyta Pseudosphaerocystis Volvox
TABLE 5. Thallus morphology in the different algal divisions. (n.a.: not available; n.d.: not
detected).
Division Filamentous Siphonous Parenchimatous
Cyanophyta Calothrix n.d. Pleurocapsa
Prochlorophyta Prochlorothrix n.d. n.d.
Glaucophyta n.d. n.d. n.d.
Rhodophyta Goniotricum n.d. Palmaria
Heterokontophyta Ectocarpus Vaucheria Fucus
Haptophyta n.d. n.d. n.d.
Cryptophyta Bjornbergiella n.d. n.d.
Dynophyta Dinoclonium n.d. n.d.
Euglenophyta n.d. n.d. n.d.
Chlorarachniophyta n.d. n.d. n.d.
Chlorophyta Ulothrix Bryopsis Ulva
Many algae are solitary cells, with or without flagella, hence motile or
non-motile. Other algae exist as aggregates of several to many single cells
held together loosely or in a highly organized fashion, the colony. In this
type of aggregate, cell number is indefinite, growth occurs by cell division
of its components, there is no division of labor and each cell can survive on
its own. When the number and arrangement of cells are determined at the
THE WORLD OF ALGAE
7
time of origin of the colony, and remain constant during the life span period
of the individual colony, the colony is termed coenobium; this can or can
not be motile.
The characteristic filaments of filamentous algae result from cell division
in the plane perpendicular to the axis of the filament, and have cell chains
consisting of daughter cells connected to each other by their end wall. Fila-
ments can be simple, or, otherwise, have false or true branching; they may
be uniseriate or multiseriate, consisting respectively of a single or multiple
layer of cells.
Siphonous algae are characterized by a siphonous or coenocytic cons-
truction, consisting of tubular filaments lacking transverse cell walls. These
algae undergo repeated nuclear division without forming cell walls; hence
they are unicellular, but multinucleate (or coenocytic).
Parenchimatous, as well as pseudoparenchimatous algae are mostly macro-
scopic with tissue of undifferentiated cells and growth originating from a
meristem with cell division in three dimensions. In the case of parenchy-
matous algae, cells of the primary filament divide in all directions, and any
essential filamentous structure is lost. This tissue organization is present in
many of the brown algae. Pseudoparenchymatous algae are made up of a
loose or close aggregation of numerous, intertwined, branched filaments
that collectively form the thallus, held together by mucilages, especially
in red algae. Thallus construction is entirely based on a filamentous con-
struction with little or no internal cell differentiation.
5. Nutrition
In consideration of their general definition, most algal groups should be
considered photoautotrophs, i.e. depending entirely upon their photosyn-
thetic apparatus for their metabolic necessities, using sun light as source of
energy, and CO
2
as carbon source to produce carbohydrates and ATP. Most
algal divisions contain colorless heterotropic species that can obtain organic
carbon from the external environment, either by taking up dissolved sub-
stances (osmotrophy) or by engulfing bacteria and other cells as particulate
prey (phagotrophy) (Graham and Wilcox, 2000). Algae incapable of syn-
thesizing essential components such as the vitamins of the B
12
complex, or
fatty acids, and have to import them are defined auxotrophic.
Actually, algae are mixotrophic organisms, that is, they are competent to
use a complex spectrum of nutritional strategies, combining photoautotro-
phy and heterotrophy. The relative contribution of either nutritional strategy
within mixotrophic species varies along a gradient from algae whose do-
minant mode of nutrition is phototrophy, through those for which photo-
trophy or heterotrophy provide essential nutritional supplements, to those
L. BARSANTI ET AL.
8
for which heterotrophy is the dominant strategy. Some mixotrophs are
mainly photosynthetic and only occasionally use an organic energy source.
Others meet most of their nutritional demand by phagotrophy, but may use
some of the products of photosynthesis from sequestered prey chloroplasts
(Jones, 2000). Photosynthetic fixation of carbon and use of particulate food
as a source of major nutrients (nitrogen, phosphorus and iron) and growth
factors (e.g. vitamins, essential amino acids, and essential fatty acids) can
enhance growth, especially in extreme environments where resources are
limited. Heterotrophy can be important for the acquisition of carbon when
light is limiting and, conversely, autotrophy can maintain a cell during
periods when particulate food is scarce.
Algae that derive their nutriment from prey, but are capable, in lack of
the latter, of sustaining themselves by phototropy are said obligate hetero-
trophic -it is the case, for example, of Gymnodium gracilentum, Dynophyta.
On the other hand, algae that obtain energy primarily from sunlight and
carbon from CO
2
, but in case of limiting light, are capable of opting for
phagotrophy and/or osmotrophy are named obligate phototrophic.
Algae that, depending on the environmental conditions, grow equally
well as photoautotrophs or heterotrophs are called facultative mixotrophic,
while algae that are mainly photoautotrophs, but require for their survival
nutriments obtained via phagotrophy and/or osmotrophy, are named obligate
mixotrophic algae.
6. Reproduction
Methods of reproduction in algae may be vegetative by division of a single
cell or fragmentation of a colony, asexual by production of motile spore, or
sexual by union of gametes. Sexual mode involves plasmogamy (union of
cells), karyogamy (union of nuclei), chromosome/gene association, and
meiosis, resulting in genetic recombination. Vegetative and asexual modes
provide a fast and economical means of increasing the number of individuals
and grant the stability of an adapted genotype within a species from a gener-
ation to the next, although genetic variability is restricted. On the other
hand, sexual reproduction allows variation but is more costly, because of the
waste of gametes that fail to mate.
The simplest form of reproduction is by binary fission. In this mode of
reproduction, which is, for example, that of Euglena (Euglenophyta), the
parent organisms divide into two equal parts, each having the same hereditary
information as the parents. In unicellular algae cell division may be longi-
tudinal or transverse. The growth of the population follows a typical curve
consisting of a lag phase, an exponential or log phase, and a stationary or
plateau phase, where increase in density has leveled off.
THE WORLD OF ALGAE
9
Another method of asexual reproduction is by formation of zoospores.
These, that are typical, for example, of Chlamydomonas (Chlorophyta) are
flagellate motile spores produced within a parental vegetative cell. Spores
that begin their development within the parent cell wall and are released
still partially undeveloped, are named aplanospores. The latter have no
flagellum, but may develop it, and thus be unrecognizable form zoospores.
Finally, spores that are almost perfect replicas of the vegetative cells that
produce them but do not develop flagella are named autospores. Examples
of autospore forming genera are Nannochloropsis (Heterokontophyta) and
Chlorella (Chlorophyta). Spores may be produced within and by ordinary
vegetative cells or within specialized cells or structures called sporangia.
The reproductive mode of coenobia or colonies is named autocolony
formation. This kind of reproduction implies that each cell within the colony
can produce a new colony similar to the one to which it belongs. Thus, cell
division gives rise no longer to unicellular individuals, but to multicellular
groups: a sort of embryonic colony that differs from the parent in cell size
but not in cell number. This is the reproductive mode of green algae such as
Volvox (Chlorophyta) and Pediastrum (Chlorophyta).
Vice versa, non-coenobic colonies reproduce themselves via fragment-
ation: that is filaments break into two or more fragments that develop into
new individuals.
Sexual reproduction involves, of course, gamete formation. Gametes may
be morphologycally identical with vegetative cells or markedly differ from
them, depending upon the algal group. The main difference is obviously the
DNA content that is haploid instead of diploid. Different combinations of
gamete types are possible. In the case of isogamy, gametes are both motile
and indistinguishable. When the two gametes differ in size, we have hetero-
gamy. This combination occurs in two types: anysogamy, where both gametes
are motile, but one is small (sperm) and one is large (egg); oogamy, when only
one gamete is motile (sperm), and fuses with the other that is non-motile and
very large (egg).
Algae exhibit three different life cycles with variation inside the dif-
ferent groups. The main difference is the point where meiosis occurs and the
type of cells it produces, and whether or not there is more than one free-
living stage present in the life cycle.
In the haplontic or zygotic life cycle the predominant vegetative state is
haploid and meiosis takes place upon germination of the zygote. The oppo-
site comes about in the diplontic or gametic life cycle, in which the predomi-
nant vegetative state is diploid and meiosis gives rise to haploid gametes. The
former mode of reproduction is typical, for example of Chlamydomonas
(Chlorophyta) and the latter of Diatoms and Fucus (Heterokonphyta). In dip-
lohaplontic or sporic life cycles there is an alternation of generation between
L. BARSANTI ET AL.
10
the two phases of haploid gametophyte and diploid sporophyte. The former
produces gametes by mitosis and the fomer spores by meiosis. Alternation of
generation can be isomorphic – morphologically identical – (as is the case
in Ulva (Chlorophyta)) or heteromorphic with predominance of either the
Porphiria (Rhodophyta)).
Under unfavorable conditions, such as shortage of environmental nutrients,
cells, such as hypnospores, hypnozygotes, statospores, and akinetes. Resting
stages represent a survival strategy and resting cells may dwell in sediments
for many years, enduring very harsh conditions, and remain viable to assure
the continuance of the species. When suitable conditions for vegetative growth
are restored, the akinete germinates into new vegetative cells.
7. Origin of Eukaryotic Algae
Cyanobacteria are the living procariotic ancestors of algae. Cyanobacteria
evolved more than 2.8 billion years ago and have played fundamental roles
in driving much of the ocean carbon, oxygen and nitrogen fluxes from that
time to present. The evolution of cyanobacteria was a major turning point in
biogeochemistry of Earth. Prior to the appearance of these organisms, all
photosynthetic organisms were anaerobic bacteria that used light to couple
the reduction of carbon dioxide to the oxidation of low free energy mole-
cules, such as H
2
S or preformed organics. Cyanobacteria developed a meta-
bolic process, the photosynthesis, that exploits the energy of visible light to
oxidize water and simultaneously reduces CO
2
to organic carbon represented
by (CH
2
O)n using light energy as a substrate and chlorophyll a as a requisite
catalytic agent (Carr and Whitton, 1982). Formally oxygenic photosynthesis
can be summarized as:
CO
2
+ H
2
O + light
Chlorophylla
> (CH
2
O)n + O
2
All other oxygenic producing algae are eukaryotic, that is they contain
internal organelles, including a nucleus, one or more chloroplasts (Marin,
2004), one or more mitochondria, and, most importantly, in many cases
they contain a membrane bound storage compartment or vacuole.
Historically, the major groups of algae are classified into Divisions (the
equivalent taxon in the zoological code was the Phylum) on the basis of
pigmentation, chemical nature of photosynthetic storage product, photo-
synthetic membranes (thylakoids) organization and other features of the
chloroplasts, chemistry and structure of cell wall, number, arrangement and
ultrastructure of flagella (if any), occurrence of any other special features,
and sexual cycles. Recently, all the studies that compare the sequence of
sporophyte (e.g. Laminaria (Heterokontophyta)) or the gametophyte (e.g.
limiting light or desiccation, many algal groups produce thick walled resting
THE WORLD OF ALGAE
11
macromolecules genes and the 5S, 18S and 28S ribosomal RNA sequences
Smith, 2002; Lewis and McCourt, 2004). This confirms that these divisions
are non-artificial, even though they were originally defined on the basis of
summarize the main characteristics of the different algal divisions.
TABLE 6. The main pigments of the algal divisions.
tend to assess the internal genetic coherence of the major divisions (Cavalier-
morphology only (Van den Hoek et al., 1995). Table 6 and 7 attempt to
Division Pigments
chlorophylls phycobilins carotenoids xantophylls
Cyanophyta
a
c-Phycoerythrin
c-Phycocyanin
Allophycocyanin
ȕ-carotene
myxoxanthin
zeaxanthin
Prochlorophyta
a, b absent ȕ-carotene zeaxanthin
Glaucophyta
a
Phycoerythrocyanin
c-Phycocyanin
Allophycocyanin
ȕ-carotene zeaxanthin
Rhodophyta
a
r,b-Phycoerythrin
r-Phycocyanin
Allophycocyanin
Į-, and
ȕ-carotene
lutein
Cryptophyta
a, c
Phycoerythrin-545
r-Phycocyanin
Allophycocyanin
Į-, ȕ-, and
İ-carotene
alloxanthin
Heterokontophyta
a, c absent
Į-, ȕ- and
İ-carotene
fucoxanthin
violaxanthin
Haptophyta
a, c absent
Į- and
ȕ-carotene
fucoxanthin
Dynophyta
a, c absent ȕ-carotene
peridinin
fucoxanthin
diadinoxanthin
dinoxantin
gyroxanthin
Euglenophyta
a, b absent
ȕ- and
Ȗ-carotene
diadinoxanthin
Chlorarachniophyta
a, b absent absent
lutein
neoxanthin
violaxanthin
Chlorophyta
a, b absent
Į-, ȕ- and
Ȗ-carotene
lutein
prasinoxanthin
L. BARSANTI ET AL.
12
TABLE 7. The main storage products of the algal divisions.
Division
Storage products
Cyanophyta
cyanophycin (argine and asparagine polymer)
cyanophycean starch (Į -1,4-glucan)
Prochlorophyta cyanophycean starch (Į -1,4-glucan)
Glaucophyta starch (Į -1,4-glucan)
Rhodophyta floridean starch (Į -1,4-glucan)
Cryptophyta starch (Į -1,4-glucan)
Heterokontophyta chrysolaminaran (ȕ -1,3-glucan)
Haptophyta chrysolaminaran (ȕ -1,3-glucan)
Dynophyta starch (Į -1,4-glucan)
Euglenophyta paramylon (ȕ -1,3-glucan)
Chlorarachniophyta paramylon (ȕ -1,3-glucan)
Chlorophyta starch (Į -1,4-glucan)
Within the algae, different evolutionary lineages are discernable. Three
major eukaryotic photosynthetic groups have descended from a common
prokaryotic ancestor, through an endosymbiotic event (Patterson, 1999).
Therefore these algae possess primary plastid, i.e. derived directly from the
prokaryotic ancestor. Other algal groups have acquired their plastids via
secondary (or tertiary) endosymbiosis, where a eukaryote already equipped
with plastids is preyed upon by a second eukaryotic cell. Endosymbiotic
process produced nested cellular compartments one inside the other, which
The three major algal lineages of primary plastids are the Glaucophyta
lineage, the Chlorophyta lineage, and the Rhodopyta lineage.
Glaucophyta lineage occupies a key position in the evolution of plastids.
Unlike other plastids, the plastids of glaucophytes retain the remnant of a
gram-negative bacterial cell wall of the type found in cyanobacteria, with
a thin peptidoglycan cell wall and cyanobacterium-like pigmentation that
clearly indicate its cyanobacterial ancestry.
Green algae (Chlorophyta) constitute the second lineage of primary
plastids. The simple two membrane system surrounding the plastid, the
congruence of phylogenies based on nuclear and organellar genes, and the
antiquity of the green algae in the fossil record all indicate that the green
can give information about the evolutionary history of the algae containing
them (Keeling, 2002; Dyall et al., 2004).
THE WORLD OF ALGAE
13
algal plastid is of primary origin. In these chloroplasts chlorophyll b was
synthesized as a secondary pigment and phycobiliproteins were lost. Another
hypothesis is that the photosynthetic ancestor of green lineage was a pro-
chlorophyte that possessed chlorophylls a and b and lacked phycobili-
proteins.
The green lineage played a major role in oceanic food webs and the
carbon cycle from about 2.2 billion years ago until the end-Permian ex-
tinction, approximately 250 million years ago. It was this similarity to the
pigments of plants that led to the inference that the ancestors of land plants
(i.e. embryophytes) would be among the green algae, and is clear that
phylogenetically plants are a group of green algae adapted to life on land.
Euglenophyta and Chlorarachniophyta derived from this primary plastid
lineage by secondary endosymbiosys; the green algal plastid present in Eug-
lenophyta is bounded by three membranes, while the green algal plastid
present in the Chlorarachniophyta is bound by four membrane.
Since that time however, a second group of eukaryotes has risen to eco-
logical prominence; that group is commonly called the “red lineage”. The
plastids of the red algae (Rhodophyta) constitute the third primary plastid
lineage. Like the green algae, the red algae are an ancient group in the fossil
record, and some of the oldest fossils interpreted as being of eukaryotic
origin are often referred to the red algae, although clearly these organisms
were very different from any extant alga (McFadden and van Dooren,
2004). Like those of green algae, the plastids of red algae are surrounded by
two membranes. However, they are pigmented with chlorophyll a and phy-
cobiliproteins, which are organized into phycobilisomes. Phycobilisomes are
relatively large light-harvesting pigment/protein complexes that are water-
soluble and attached to the surface of the thylakoid membrane. Thylakoids
with phycobilisomes do not form stacks like those in other plastids, and
consequently the plastids of red algae (and glaucophytes) bear an obvious
ultrastructural resemblance to cyanobacteria.
A number of algal groups have secondary plastids derived from those of
red algae, including several with distinctive pigmentation. The cryptomo-
nads (Cryptophyta) were the first group in which secondary plastids were
recognized, on the basis of their complex four membrane structure. Like red
algae, they have chlorophyll a and phycobiliproteins, but these are dis-
tributed in the intrathylakoidal space rather than in the phycobilisomes
found in red algae, Glaucophyta, and Cyanophyta. In addition, crypto-
monads possess a second type of chlorophyll, chlorophyll c, which is found
in the remaining red lineage plastids. These groups, which include the Het-
erokontophyta (including kelps, diatoms, chrysophytes, and related groups),
L. BARSANTI ET AL.
14
Haptophyta (the coccolithophorids), and probably those dinoflagellates
(Dynophyta) pigmented with peridinin, have chlorophylls a and c, along
with a variety of carotenoids, for pigmentation. Stacked thylakoids are found
in those lineages (including the cryptomonads) that lack phycobilisomes.
The derivation of chlorophyll c containing plastids from the red algal lineage
is still somewhat conjectural, but recent analyses of both gene sequences
and gene content are consistent with this conclusion.
A few groups of dinoflagellates have plastids now recognized to be
derived from serial secondary endosymbiosis (the uptake of a new primary
plastid- containing endosymbiont) such as Lepidodinium spp. or tertiary
endosymbiosis (the uptake of the secondary plastid-containing endosym-
biont), such as Dinophysis, Karenia, and Kryptoperidinium.
of dinoflagellates and coccolithophorids approximately parallels the rise of
dinosaurs, while the rise of diatoms approximates the rise of mammals in
organic carbon, produced primarily by members of the red lineage in shal-
low seas in the Jurassic period provide the source rocks for most of the
petroleum reservoirs that have been exploited for the past century by humans.
References
Barsanti L., and Gualtieri P., 2006, Algae – Anatomy, Biochemistry and Biotechnology,
Taylor & Francis, Boca Raton, Florida.
Bold H.C., and Wynne M.J., 1978, Introduction to the algae – Structure and reproduction,
Prentice-Hall, Inc., Englewood Cliffs, New Jersey.
Bourrelly P., 1966, Les Algues d’eau douce. Initiation à la Systèmatique. Les algues verdes.
Editions N. Boubèe, Paris.
Bourrelly P., 1968, Les Algues d’eau douce. Initiation à la Systèmatique. Les algues jaunes
et brunes. Editions N. Boubèe, Paris.
nies, Algues rouges et Algues bleues. Editions N. Boubèe, Paris.
Cavalier-Smith T., 2002, Chloroplast Evolution: Secondary Symbiogenesis and Multiple
Losses. Current Biology, 12, R62–R64.
Dyall S.D., Brown M.T., and Johnson P.J., 2004, Ancient Invasions: From Endosymbionts to
Organelles Science 304: 253–257.
Hackett J.D., Anderson D.M., Erdner D.L., and Bhattacharya D., 2004, Dinoflagellates: a
remarkable evolutionary experiment, American Journal of Botany 91: 1523–1534.
219–226.
Bourrelly P., 1970, Les Algues d’eau douce. Initiation à la Systèmatique. Eugleniens, Peridi-
Graham L.E., and Wilcox L.W., 2000, Algae, Prentice Hall, Upper Saddle River, New Jersey.
Carr N.G., and Whitton B.A., 1982, The Biology of Cyanobacteria. Blackwell Scientific,
the Cenozoic (Hackett et al ., 2004). The burial and subsequent diagenesis of
All of these groups are comparatively modern organisms; indeed the rise
Jones R.I., 2000, Mixotrophy in planktonic protists: an overview. Freshwater Biology, 45,
Oxford, UK.
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Keeling P.J., 2004, Diversity and evolutionary history of plastids and their hosts, American
Journal of Botany. 91: 1481–1493.
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Margulis L., Corliss J.O., Melkonian M., and Chapman D.J., 1990, (Eds.). Handbook of
Protoctista, Jones and Bartlett Publishers, Boston.
Marin B., 2004, Origin and Fate of Chloroplasts in the Euglenoida, Protist 155: 1, 13–14.
Common Origin of All Plastids, Current Biology 14: 13, R514–R516.
Patterson D.J., 1999, The diversity of Eukaryotes. The American Naturalist, 65, S96–S124.
Tilden J.E., 1935, The Algae and their life relations. Fundamentals of Phycology. The
University of Minnesota Press, Minneapolis.
Cambridge University Press, Cambridge, United Kingdom.
Lewis L.A., and McCourt R.M., 2004, Green algae and the origin of land plants, American
73: 59–61.
McFadden G.I., and van Dooren G.G., 2004, Evolution: Red Algal Genome Affirms a
Lewin R.A., 2002, Prochlorophyta, a matter of class distinctions. Photosynthesis Research,
Van den Hoek C., Mann D.G., and Jahns H.M., 1995, Algae – An introduction to phycology,
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 17
CYANOBACTERIAL DIVERSITY IN RELATION
TO THE ENVIRONMENT
BRIAN A. WHITTON*
School of Biological and Biomedical Sciences, University of
Durham DH1 3LE, UK. Email: b.a.whitton@durham.ac.uk
knowledge for researchers concerned with cyanobacterial toxins and toxi-
city, with emphasis on ecological, morphological and physiological aspects.
Ways in which the environment influences cyanobacterial morphology on
evolutionary and short-term time-scales are assessed, because lack of un-
derstanding about this underlies some of the muddle in current taxonomic
approaches. The review then deals with how cyanobacteria respond to their
environment, including sensing, N versus P limitation, some less well re-
cognized aspects of P limitation and responses to grazers. The importance
of considering flowing water and other types of envirponment besides lakes
and reservoirs is stressed. Comment on interactions between cyanobacteria
and other organisms includes mention of the use of barley straw in con-
trolling blooms, an approach which has often proved successful in the
British Isles and elsewhere in Europe, but less so in the USA. The review
ends with how the environment influences toxin production and toxicity of
the toxins released. Several topics are suggested where there is a need for
research, such as whether the calyptra of some Oscillatoriaceae has a role in
sensing the environment, and whether some rice cultivars produce straw
useful for controlling blooms.
Keywords: Cyanobacteria, environment, toxins, toxicity, taxonomy, phosphorus
______
*To whom correspondence should be addressed. Brian A. Whitton, School of Biological and
Biomedical Sciences, University of Durham DH1 3LE, UK. Email: b.a.whitton@durham.ac.uk
Abstract: Cyanobacterial diversity is reviewed to provide background
limitation, phosphatases, grazers, allelopathy, barley straw
© Springer Science + Business Media B.V. 2008
B. A. WHITTON
18
1. Introduction
The cyanobacteria are photosynthetic prokaryotes found in most, though not
all, types of illuminated environment (Whitton and Potts, 2000; Castenholz,
2001). They all have the ability to synthesize chlorophyll a and most can
also form the blue accessory phycobilin pigment, phycocyanin; in some
cases the red accessory pigment, phycoerythrin, is formed as well. However,
several genera do not form the phycobilin pigments, instead possessing
chlorophyll b. Among these, Prochlorococcus was first reported as recently
as 1988 by Chisholm et al., but is now realized to be of major importance
in the oceans (Zwirglmaier et al., 2007) and it seems surprizing that it was
overlooked for so long. Other important phenomena were also long over-
looked, so the reader is encouraged to take a critical approach to the present
literature on cyanobacteria.
A number of features favour their success. The temperature optimum for
many or most is higher by at least several degrees than for most eukaryotic
algae (Castenholz and Waterbury, 1989). Many terrestrial forms tolerate
high levels of ultra-violet irradiation (see 2.3), whereas the success of many
planktonic forms is favoured by their ability to utilize light for photosyn-
thesis efficiently at low photon flux densities (van Liere and Walsby, 1982).
Tolerance of desiccation and water stress is widespread (Potts, 1994) and
cyanobacteria are among the most successful organisms in highly saline
environments (Bauld, 1981). Photosynthetic CO
2
reduction can sometimes
proceed efficiently at very low concentrations of inorganic carbon (Pierce
and Omata, 1988). The ability of many species to fix atmospheric nitrogen
provides a competitive advantage where combined nitrogen concentrat-
ions are low (see 3.2.1). Free sulphide is tolerated by some species at much
higher levels than by most eukaryotic algae and H
2
S is sometimes utilized
as the hydrogen donor during photosynthesis (Cohen et al., 1986). The abi-
lity to form gas-vacuoles in some common freshwater plankton species and
the marine Trichodesmium, and hence increase buoyancy, gives an advent-
age in waters where the rate of vertical mixing of the water column is rela-
tively low (van Liere and Walsby, 1982).
The fact that some species are highly toxic to humans and some other
animals has been reported extensively, though most accounts relate to
bloom-forming species in freshwaters and shallow coastal waters (Codd
et al., 2005); several chapters in the present book review methods for moni-
toring these species and their toxins. It is less clear how widespread cyano-
bacterial toxicity is in other types of environment or how the environment
may influence the toxicity of species where toxins can occur. (The terms
toxins and toxicity is used here to refer to effects on mammals, including
humans, unless other organisms are mentioned specifically).
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
19
The aim of this chapter is to provide an environmental perspective for
researchers investigating these aspects of toxicity and who are not neces-
sarily specialists in cyanobacteria, though anyone lacking previous experi-
ence of the organisms is recommended to read the account by Mur et al.
(1992) first of all. Because of the wide range of topics covered, the choice
here is highly selective. The chapter starts with a brief overview of cyano-
bacterial diversity, followed by comments on how the environment influ-
ences cyanobacteria, both their long-term evolution and short-term responses,
including methods for sensing their environment. This is followed by an
account of the environments where toxicity has been reported. Finally, there
is an attempt to bring the two subjects together by assessing what is known
about the influence of environmental factors on toxins and toxicity. Mole-
cular aspects of cyanobacterial toxins are mentioned only briefly, partly
because there are reviews elsewhere (Börner and Dittmann, 2005; Neilan
et al., 2007) and partly because the rapid progress in the subject, exem-
plified by the sequencing of the genome of a toxic strain of Microcystis
aeruginosa (Kaneko et al., 2007), means that comments are likely to date
rapidly.
2. Long-term Responses to Environment
2.1. MORPHOLOGY
Single-celled cyanobacteria range in size from about 0.6 µm to well over 30
µm in their largest dimension. Although most species exceed 2 µm, the
upper limit of organisms recognized as picoplankton, it seems likely that,
based on world-wide biomass, the majority are below this limit. The picophy-
toplankton include both Prochlorococcus and the phycocyanin-containing
Synechococcus, which together form the dominant phototrophs of many
regions of the tropical and subtropical oceans (Zwirglmaier et al., 2008). In
contrast, they are conspicuously absent or rare in polar oceans (Vincent,
2000).
Small-celled cyanobacteria also occur in the plankton of almost all
freshwater lakes, (Hawley and Whitton, 1991), though not in the most
acidic (Steinberg et al., 1997). Their relative importance is greatest in large,
low-nutrient lakes (Callieri, 2007), where the cells are typically larger than
the marine forms and sometimes slightly exceed the picoplankton size limit.
Unlike those in the open oceans, some of the freshwater picoplankton-size
cyanobacteria are joined by mucilage strands or other arrangements (Skuja,
1948). Such organisms typically occur in humus-rich waters and are often
overlooked in standard counting procedures. The plankton of small water-
bodies is sometimes dominated by slightly larger individual cells, but most
B. A. WHITTON
20
of the larger unicellular forms are aggregated in various ways to form
colonies. Microcystis, the most notorious of the freshwater toxin-formers, is
an example (Visser et al., 2005). There are also many colonial unicellular
genera associated with surfaces.
The trichomes of filamentous cyanobacteria come into the diameter
range 0.4 µm to 50 µm, but there are a few records of species with tri-
chomes well over 100 µm diameter. Even when they include only a single
trichome, filaments may be much wider due to the presence of extracellu-
lar polymers organized into firm sheaths. The filamentous forms have been
separated in various ways into several orders, with the important split bet-
ween those without and those with heterocysts, the site of nitrogen fixation
in most nitrogen-fixing cyanobacteria of well-oxygenated environments.
Phylogenetic studies indicate that the non-heterocystous filamentous forms
are highly diverse, but the large number of genes involved in heterocyst
development suggests that the main steps in heterocyst evolution occurred
only once (Henson et al., 2004).
2.2. TAXONOMY AND NOMENCLATURE
It is important for toxicity and other studies to be able to give meaningful
and consistent names to the diversity of organisms found in field and labo-
ratory samples, yet perhaps for more than any other group of phototrophs,
this can be a challenge. This is in part because there have been four differ-
ent approaches to their nomenclature. Although a critical assessment of these
approaches lies outside the scope of this chapter, some understanding is nee-
ded to interpret the literature on toxicity. One of the approaches, that due to
F. Drouet (e.g. 1968) was based on a huge reduction in number of species,
with individual species distinguished from one another only by large differ-
ences in morphology. This approach has now largely been discarded and is
only mentioned here because Drouet’s taxonomic names were used for the
colour pictures shown by Palmer (1966). This book was distributed widely
round the world free of charge and the pictures subsequently reproduced in
many editions of Standard Methods for Water and Wastewater Treatment
published by American Public Health Association and the names given by
Drouet have therefore been seen by numerous people in water management.
The classical approach evolved during the 19th century, with much of
the morphological diversity of what were then known universally as blue-
green algae being recognized at the generic level by the end of that century.
However, the information was not really consolidated clearly until Geitler’s
(1932) flora, which is the best known text of what may be considered
as classical taxonomy. While it is essential to use a more up-to-date account
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
21
(e.g. Komárek and Anagnostidis, 1999) to describe the diversity of unicellular
cyanobacteria in field populations, Geitler (1932) is still a useful source to
start to assess the diversity of filamentous forms.
A third approach is that introduced in the 1970s by R. Y. Stanier, who
became convinced that these organisms should be treated like bacteria, with
isolation and culture of individual cells or filaments (Rippka et al., 1979). It
was proposed that their taxonomy should follow the rules of the Inter-
national Code of Nomenclature of Bacteria (rather than the International
Code of Botanical Nomenclature), together with a change in name to cyano-
bacteria (Stanier et al., 1978). The many subsequent steps towards this have
been reviewed by Oren (2004), who stressed the need for botanical and bac-
teriological taxonomists to use unified rules to describe new taxa. Bergey’s
Manual of Determinative Bacteriology (Boone and Castenholz, 2001) pro-
vides the most recent taxonomic account using the bacteriological approach.
The fourth approach is that given in a number of articles by Anagnostidis
and Komárek (e.g. 1985) and two books by the same authors (Komárek and
Anagnostidis, 1999, 2002). This is essentially an on-going elaboration of the
classical system with frequent reconsideration of the importance of various
characters and at the same time incorporating as much new information
as possible. Whitton’s (2002) account for the British Isles was much nearer
that of Geitler (1932). A conservative approach was adopted because it see-
med best to wait until much more molecular data are available before
making a major reconsideration of nomenclature for the whole group. None
of the present approaches is ideal for all purposes and the situation can be
confusing to non-specialists who are unaware of the situation.
2.3. STRESS
Some of the most important criteria in the 19th century descriptions of
genera or species were ones which we now know are responses to stress or
limitation, though the original authors had little or no understanding of this.
The sheaths which enclose the trichomes of many filamentous forms pro-
vide one example. Among the freshwater plankton they occur in only some
species. Species on terrestrial surfaces subjected to intermittent drying
mostly surrounded by firm sheaths or mucilage, which aid desiccation toler-
ance (Potts, 1994), though may also have other functions, which are not
necessarily the same in different species. In many cases species glide out of
their sheath if submerged in liquid, but reform them again under water
stress. Species with firm sheaths are much less common in the plankton,
although many do have surrounding mucilage.
B. A. WHITTON
22
The brown pigment scytonemin which is present in the sheaths or mu-
cilage protects cells again damage by UVR (ultra-violet radiation) damage
(Castenholz and Garcia-Pichel, 2000) and in most cases UVR is required to
initiate its synthesis (Garcia-Pichel and Castenholz, 1991).
Heterocyst formation in Anabaena occurs when combined nitrogen
is absent or low in relation to supply of other key nutrients (Wolk, 1983)
and most heterocystous genera probably behave in a similar way, though
there are examples such as the hair-forming genus Calothrix (Sinclair and
Whitton, 1977), where heterocyst formation is less clearly linked to the
recent environment.
Genera able to form multicellular hairs or other types of long, markedly
tapered trichomes do this under conditions of phosphorus limitation (Whitton,
1988). The extent of tapering in Aphanizomenon flos-aquae, which in some
cases leads to the formation of hair-like ends to the filaments, is also
enhanced by phosphorus limitation (author, unpublished data). In contrast
to heterocysts, the formation of multicellular hairs has almost certainly
evolved a number of times. Colonial cyanobacteria forming hairs, such as
Calothrix and Rivularia, exist in this condition for most of their growth
period (Whitton, 1987), only producing motile hormogonia when exposed
to high phosphate. Unfortunately the taxonomy of hair-forming cyano-
bacteria is confused in accounts based on the Stanier system, because the
growth medium used for assays (BG11: Allen and Stanier, 1968) contained
such a high phosphate concentration (5 mg L
–1
P) that morphological fea-
tures associated with phosphate limitation are seldom seen in culture. Even
if a reduced concentration of 1 mg L
–1
P is used for batch culture studies,
this is usually still too high for the characteristic morphology to be seen
(author, unpublished data).
The cells of multicellular hairs are highly vacuolated, the vacuoles
being formed as a result of the separation of the two thylakoidal membranes
(Whitton, 2005). Although the hair cells lose their chlorophyll, the intra-
thylakoidal vacuoles which sometimes occur in other genera can develop
in cells which still contain chlorophyll, though it is unclear whether the
particular membranes surrounding the vacuole are still pigmented. Such
vacuoles often occur in Scytonema, where the cells furthest from the fila-
ment apex develop them. They also occur in the terminal regions of some
non-heterocystous filamentous forms, which taper towards the apex, as illus-
trated for Phormidium autumnale by Geitler (1932). In both these cases the
vacuoles form in cells furthest from the growing region of the filament,
suggesting that their presence is a sign that the cell is becoming unhealthy.
Liquid (intrathylakoidal) vacuoles often occur in all cells of populatons of
the unicellular Synechococcus aeruginosus and the filamentous Oscillatoria
bornetii and O. bourrellyi, though O. bourrellyi and perhaps also the others
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
23
can also exist in a state where the presence of the vacuoles is scarcely
visible with the light microscope (Whitton, 2002). In (Lake) Windermere,
England, the highly vacuolated form of O. bourrellyi used to develop in
summer and the less vacuolated form in winter, when ambient phosphate
concentrations were much higher than in summer (J. W. G. Lund, pers.
comm.). When considered together, these observations suggest it would
be worth investigating whether intrathylakoidal vacuole formation is asso-
ciated with a mechanism for optimizing phosphate uptake under P-limiting
conditions.
3. Short-term Responses to Environment
3.1. SENSING THE ENVIRONMENT
An ability to detect and respond to variations in the environment is very
important and a range of studies have been reported, mainly with respect to
light, nitrogen and phosphorus. but also toxin formation. Although dealing
mainly with biochemical and molecular aspects, the review by Mann (2000)
provides a broader guide to the literature. Many of the earlier studies were
concerned with detection and responses to light of motile filamentous forms
gliding on a surface. For instance, Castenholz (1983) concluded that most
responses to light occurred only after apparently random movements have
resulted in the long axis lying parallel to the light field. However, steering
did occur in some articulated trichomes, such as members of the Nosto-
caceae. More recently it has been shown that a range of receptors exist for
sensing light (Mullineaux, 2001), including phytochromes, cryptochromes
and rhodopsin (Albertano et al., 2001; Jung et al., 2004).
There has also been considerable interest in chemical signalling. Akinete
(spore) formation in an exponentially growing Cylindrospermum licheniforme
could be induced by cell-free supernatant of an akinete-containing culture
(Fisher and Wolk, 1976). The akinete-inducing substance was isolated and
its structure partially determined (Hirosawa and Wolk, 1979). Heterocysts,
but not active nitrogen fixation, were essential for akinete formation (Van
de Water and Simon, 1982). Once sporulation commenced in a culture, the
process spread rapidly through the population. Field observations on several
Cylindrospermum populations growing on sediments indicated that a similar
behaviour probably occurred there.
It has long been considered that a range of cyanobacterial responses
probably involve chemotaxis (Castenholz, 1983), but the first convincing
evidence came from Waterbury et al. (1985) for marine phycoerythrin-
containing Synechococcus isolates showing swimming motility. These did
B. A. WHITTON
24
not exhibit photokinesis, photophobic or photactic responses and motility
was retained in the dark. The swimming behaviour, which was confined to
open ocean isolates, showed a marked chemotactic response to various
nitrogenous compounds (Willey and Waterbury, 1989). The threshold levels
for chemotactic responses were in the range 10
–9
–10
–10
M, which could be
ecologically significant in the ocean.
The study of chemotaxis in cyanobacteria has in recent years largely
focussed on the attraction of hormogonia to potential symbiotic partners.
The first full account was for Nostoc and the liverwort Blasia (Knight and
Adams, 1996), but the phenomenon has now been shown for a range of
associations (Adams, 2000; Nilsson et al., 2006). The mutual attraction of
cyanobacterial cells to each other, such as hormogonial aggregation during
colony formation in genera like Rivularia (Whitton, 2002), still awaits detai-
led study.
Strangely, the role of the calyptra and other modifications of the terminal
cell of many motile non-heterocystous filamentous forms (Oscillatoriceae)
has never been investigated. It is probably the best known morphological
structure in cyanobacteria about which nothing is known of its function. How-
ever, it seems to the author likely that this may be involved in chemotaxis.
The fact that such cells form only at one end of the trichome and that the ter-
minal regions of these trichomes often flex around suggests the possibility
of their playing a role in detecting features of their environment such as
phosphate or other nutrient gradients. If the calyptra does prove to be an
important detector region, perhaps it could be used to incorporate detector
molecules for toxins and other compounds.
Many authors have suggested the likelihood that quorum sensing is
involved in various cyanobacterial processes (e.g. Mann, 2000). This is
partly because of similarities with other bacterial processes or genes where
it is known to be involved. For instance, some microcystin related genes
show a high similarity to genes in other bacteria which are regulated by
a quorum sensing system. However, several studies have failed to find evi-
dence for quorum sensing influencing microcystin formation. Density chan-
ges during growth of Microcystis do not seem to influence transcription of
the microcystin gene cluster (Dittmann et al., 2001; Braun and Bachofen,
2004; Pearson et al., 2004).
14
C studies with M. aeruginosa PCC 7806
showed that cells were not subject to significant loss processes such as
export from the cells or intracellular breakdown, and the authors (Rohrlack
and Hyenstrand, 2007) interpreted this as lack of evidence for quorum sens-
ing or other functions requiring export of compounds to the medium, such
as protection from epiphytes.
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
25
3.2. MORPHOLOGY AND PHYSIOLOGY
3.2.1. Introduction
Although morphological characters relating to the ability of a cyanobac-
terium to withstand stress have evolved over long periods of time, many of
these characters are also ones which vary during the growth of individual
organisms, as described above for scytonemin, heterocysts and multicellular
hairs. The extent of gas vacuole formation and hence buoyancy is another
obvious way in which planktonic cyanobacteria can respond to their envi-
ronment. In general high light or limitation by major nutrients such as nitro-
gen or phosphorus leads to a decrease in number of gas vesicles per cell and
hence a decrease in buoyancy, though there are many factors which may
complicate this (Oliver and Ganf, 2000).
In most cases the ‘stress’ characters start to develop in response to only
moderate stress or limitation. The pronounced occurrence of a particular
character at a site therefore indicates the likely importance of the relevant
stress there. This has been considered most often for the heterocyst, because
of the ease with which its frequency can be quantified. Nitrogen scarcity
favours the development of nitrogen-fixing cyanobacteria, because of their
competitive advantage where the concentration of combined nitrogen is low
(Howarth et al., 1988; Kardinaal and Visser, 2005). Nitrogen-fixers in well-
oxygenated freshwater and terrestrial environment are likely to possess
heterocysts. However, the relationship between heterocyst frequency and
the concentration of ambient combined nitrogen may sometimes be ob-
scured by the fact that the same heterocyst persists for much longer periods
in the morphologically more complex genera like Aphanizomenon and
Gloeotrichia than they do in Anabaena.
Cyanobacterial nitrogen fixation in freshwater and terrestrial environ-
ments with low dissolved oxygen is usually carried out by species lacking
heterocysts and in most cases there are no morphological features indicating
whether or not this ability is likely to occur. In the marine environment
heterocystous nitrogen-fixers are largely confined to the upper intertidal
zone or shallow brackish waters. The main nitrogen-fixers in the open sea
are the unicellular Crocosphaera watsonii (Zehr et al., 2007) and filament-
tous Trichodesmium (Lagomela et al., 2002), which lacks heterocysts, but
does possess special cells recognizable with light microscopy.
3.2.2. N versus P limitation
The relative importance of particular nitrogen fractions and the envi-
ronmental N : P ratio have a been suggested to influence the success of
particular groups of cyanobacteria. Blomqvist et al. (1994) concluded that
non-nitrogen-fixing cyanobacteria are favoured by NH
4
-N, as was found for
B. A. WHITTON
26
Oscillatoria (Planktothrix) in enclosures (Klemer, 1976), while NO
3
-N
favours the development of eukaryotic phytoplankton. The importance of
the environmental N : P ratio has often been mentioned and Smith (1983),
based on data from 17 lakes, suggested that cyanobacteria are generally
better competitors for nitrogen than phosphorus and thus in lakes with low
total N : total P ratio. However, this interpretation should be treated with
considerable caution, because most cyanobacteria have several different
strategies for optimizing P acquisition, such as the abilities to store phosphate
in polyphosphate granules, to hydrolyze a range of organic phosphates and
to adjust rapidly to changes in phosphorus conditions (Whitton et al., 2005).
It is often overlooked that some environments, especially streams, show
frequent shifts in conditions and some species appear to be adapted espe-
cially to deal with such shifts. For instance, genera which can form both
heterocysts and either hairs or long tapered filaments are responding to en-
vironments with different nutrient conditions at different stages in their
growth cycle. Rivularia typically undergoes a relatively short period of nit-
rogen limitation alternating with a long period of phosphorus limitation
(Yelloly and Whitton, 1996; Whitton et al., 1998).
One final point should be stressed, because of its value for monitoring
purposes. The shape of a filamentous cyanobacterium can tell a lot about its
environment, especially nutrient conditions, even without knowing its name.
It seems likely, for instance, that morphologically complex cyanobacteria
are associated with environments which show characteristic fluctuations in
environmental conditions. Further information about the more recent environ-
ment is provided if details of intracellular contents, such as the extent of for-
mation of the various types of storage granule and gas vacuoles, is also
included.
In addition to the morphological studies on nitrogen and phosphorus limi-
tation mentioned earlier, much information has accumulated on physio-
logical, biochemical and molecular responses to nutrient status. However, it
is not always straightforward to establish whether an organism is N- or
P-limited. While it may be relatively easy to do so by a combination of mor-
phological and physiological studies in the more complex filamentous forms,
Post (2005) concluded that no available measurement provides an unequi-
vocal answer for marine phytoplankton. Although this viewpoint may seem
strict, it is worth listing the three methodological problems Post raised.
Knowledge of the concentration of a nutrient such as ammonium in the en-
vironment does not provide direct information on its flux into cells. Some pot-
ential N and P sources are not covered by standard determinations in water
chemistry. Bioassays based on nutrient additions in enrichment experiments
have a number of inherent problems, such as the possibility of colimitation
by trace metal availability. All these problems can occur in freshwater studies,
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
27
especially the failure to include the full range of potential N and P sources
in water analyses. Because of this, there has been much interest in finding
molecules, especially proteins, that indicate nutrient limitation (Dignum
et al., 2005), or genes (Mann, 2000) that respond to nutrient limitation or
more directly to particular molecules in the external environment.
3.2.3. Assessing phosphorus limitation
The widespread occurrence of phosphate limitation in nature has led to
much interest in the various types of strategy used by cyanobacteria to deal
with this and the ways it can be investigated (Dignum et al., 2005). The
formation of surface phosphatase activities under conditions of moderate
phosphorus limitation and its complete suppression under high ambient
phosphate concentration has been reported for so many cyanobacteria that it
seems save to conclude that this is the typical response (Whitton et al.,
2005) and that this is a good way to assess phosphorus limitation. Theore-
tically, the production rate of derepressible (surface) phosphatases should
give the best measurement, but in practice the potential phosphatase activity
is normally used. Potential phosphatase activity is usually assayed with a
suitable artificial substrate at substrate concentrations near the saturation
concentration to allow the reactions to proceed at maximum rate. However,
such routine assays cannot be used to make a quantitative estimate of acti-
vity in nature, because other factors influence activity (Jansson et al., 1988).
A review by Whitton et al. (2005) makes clear how many factors can in-
fluence surface phosphatases. There is a need for caution when making
comparisons based on potential phosphatase activities and some recent
accounts of phosphatase activity of cyanobacteria and other phototrophs in
freshwaters need critical re-evaluation. Nevertheless the ELF-97
TM
phosphate
now widely used as a substrate for cell phosphatase activity in fluorescence
studies can give some insight in understanding differences within communi-
ties and populations (Dignum et al., 2004), though it measures only phos-
phomonoesterase and not phosphodiesterase or other phosphatase activities.
The overall phosphorus concentration of cells is a more direct measure
of potential phosphorus limitation, but quantification is time-consuming and
difficult to apply to large numbers of cells in a mixed community. Although
it is well known that most cyanobacteria form storage polyphosphate when
internal phosphate exceeds a certain concentration (Whitton et al., 2005),
the information for particular species or populations is sparse. There are a
number of reports for freshwater cyanobacteria differing in their phosphorus
content by a factor of 8 or more between phosphorus-replete and phos-
phorus-limited cultures (e.g. Calothrix: Islam and Whitton, 1992). How-
ever, the equivalent values for strains of the marine picoplanktonic Prochlo-
rococcus and Synechococcus lay between 3 and 4 (Bertilsson et al., 2003).
B. A. WHITTON
28
In addition, the phosphorus-limited cultures of these marine cyanobacteria
have only about one-third the percentage phosphorus (expressed as mass) of
3.2.4. Responses to grazers
Besides the detection and responses to physical and chemical factors, there
are several reports of morphological and other changes in the presence of
potential grazers. The first for such a behavioural response in cyanobacteria
came from Fialkowska and Pajdak-Stós (1997) in a study on two Phor-
midium isolates from shallow pools. When these were subjected to grazing
pressure by the ciliate Pseudomicrothorax dubius, both strains showed signi-
ficant increases in the number of filaments terminating in an empty sheath.
This was due to active withdrawal of a trichome inside a sheath when dis-
turbed by grazers. P. dubius was unable to ingest trichomes enclosed in a
sheath, though Phormidium may be less efficient under these conditions,
perhaps by reduced nutrient uptake.
Another example of a response to a grazer is that of microcolony for-
mation of a strain of Cyanobium sp. from single cells, which was induced
by the presence of the photophagotroph, Ochromonas sp. DS (Jezberová
and Komárková, 2007). Colonies were characterized by hundreds of tubu-
Cyanobium cells cultured together with Ochromonas. Presumably the res-
ponses of Cyanobium and the Phormidium described above involve the de-
tection of molecules associated with grazer activity.
4. Occurrence of Toxicity
4.1. INTRODUCTION
Some types of toxin have been reported from a range of genera, especially
microcystins, though this is in part because of the wide range of micro-
cystins reported (71 in 2005 according to Codd et al.). However, the toxin
content can differ between genotypes of the same species, as with micro-
cystins in Microcystis aeruginosa (Fastner et al., 1999; Rohrlack et al.,
2001) and cylindrospermopsins in Cylindrospermopsis raciborskii (Saker
and Neilan, 2001). Microcystin-LR is considered to be especially widespread
large filamentous cyanobacteria (Whitton et al., 2005). It will remain un-
clear to what extent these difference reflect the different types of environ-
ment or merely the difference in cell size until similar studies have been
made on freshwater picoplanktonic cyanobacteria.
les (spinae), 100 nm to 1 ȝm long and 63 ± 6 nm wide on the surface of
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
29
(Sivonen and Jones, 1999), whereas some toxins have so far been recor-
ded from only one species, such as anatoxin-a(s) in Anabaena flos-aquae
(Matsunaga et al., 1989) and saxitoxin in one cyanobacterial species, Cylin-
drospermopsis raciborskii (Lagos et al., 1999), though its occurrence in
some eukaryotic algae is notorious (see relevant chapters in this book). The
toxic amino acid BMAA (ȕ-N-methylamino-L-alanine), which was first
found in Nostoc isolated from a cycad root, was later found in every cyano-
bacterial culture screened by Cox et al. (2005) and the authors suggested
that it may be produced all groups of cyanobacteria. Surprizingly, their
screening programme did not include Arthrospira (“Spirulina”).
Most cyanobacterial molecules associated with toxicity been considered
to be secondary metabolites, rarely being involved in primary metabolism,
but having nevertheless in many, if not most, cases evolved to benefit a
species. For instance, Osborne et al. (2001) reported that the shallow-water
marine Lyngyba majuscula had been credited with the production of more
than 100 novel secondary metabolites. Studies on the synthesis of toxic cya-
nobacterial peptides have shown that an enzyme complex (hybrid peptide-
polyketide synthetase) directed the production of microcystin and is one
of the largest known prokaryote gene clusters (Nishizawa et al., 2000;
Christiansen et al., 2003; Neilan et al., 2007). Homologous gene clusters
have been found in other genera, such as the nodularin synthetase gene
cluster in Nodularia spumigena (Moffitt and Neilan, 2004) and the hector-
chlorin biosynthetic gene cluster in L. majuscula reported by Ramaswamy
et al. (2007). It is particularly important to understand gene regulation of
products in this organism, because it can form not only a range of allelo-
pathic molecules and ones toxic or carcinogenic to animals, but molecules
which may have significant therapeutic effects for human health (Rossi
et al., 2001; Gerwick et al., 2001).
4.2. LAKES AND RIVERS
The majority of reports for toxic cyanobacteria in nature are from the plank-
ton of fresh, brackish or coastal marine waters (Codd et al., 2005), but it is
unclear how much the worries about toxic blooms have led a frequent as-
sumption that this is the main ecological group where they occur. Benthic
cyanobacterial mats in lakes have also been reported to be toxic, causing
animal deaths in lowland lakes Scotland (Owen, 1984; Gunn et al., 1992)
and alpine lakes in Switzerland (Mez et al., 1997, 1998). Mats of Oscillatoria
limosa and two other Oscillatoriaceae were responsible for toxicity in the
Swiss lakes. Benthic cyanobacterial mats at a hot spring site in Lake Bogora,
Kenya, were also been found to be toxic (Krienitz et al., 2003).
B. A. WHITTON
30
There have been an increasing number of reports of the toxicity of
cyanobacterial mats in rivers, especially Phormidium mats on sediments or
floating near the surface if buoyed by gas bubbles. For instance, Wood et al.
(2006) found that Phormidium mats from R. Hutt and four other rivers on
the North Island of New Zealand contained the neurotoxins homoanatoxin-a
and anatoxin-a. These toxins were also found in the stomach of a labrador,
one of five dogs killed in the R. Hutt. The problem was considered suf-
ficiently severe for access restrictions to be placed on over 60% of river
catchments in the western Wellington region of North Island.
The algal communities of several small calcareous rivers in Spain with
abundant cyanobacteria were shown to be toxic to benthic macroinverte-
brates (Aboal et al., 2000, 2002), although the studies did not include details
of the presumed toxins. Toxicity was greatest when the temperature and
nutrient concentrations were both low. The authors suggested that the toxi-
city is a factor enhancing the low diversity of macroinvertebrates at the sites.
The colonies of Rivularia, which was usually the dominant in the phototroph
community, are known to persist for many months. It seems likely that this
is a more general phenomenon. Cyanobacterial colonies such as those of
Rivularia, which persist for long periods in streams and are relatively little
affected by grazing (Whitton, 1987), are likely to be toxic to many potential
grazers (Pentecoast and Whitton, 2000). As colonies which persist for long
periods often show high surface phosphatase activities (Whitton et al.,
2005), it would worth investigating if there is any correlation between
surface phosphatase activities and toxin formation.
4.3. EFFECTS ON INVERTEBRATES AND HETEROTROPHIC
MICROORGANISMS
Other types of environment for which there are records of toxic cyanobac-
teria include various examples of close or obligate symbiotic associations.
In some cases the evidence for toxicity is only circumstantial. There are re-
ports from several locations of submarine populations of the shrimp Crangon
living in tubes of the red-coloured cyanobacterium Lyngbya sordida (Whitton,
1973). These tubes can persist in environments subject to intense grazing,
suggesting the possibility that the Lyngbya may be sufficiently toxic to
reduce grazing predation on both itself and the shrimp. Similarly, circums-
tantial evidence suggests that Prochloron, a unicellular chlorophyll-b con-
tainining cyanobacterium, occurring symbiotically in some tropical ascidian
colonies, may protect the host from predation (Hirose and Maruyama, 2004)
The evidence for this comes from observations on the ascidian Diplosoma
virens, where numerous Prochloron cells surround copepods which feed
on the tunic matrices of the ascidian, yet the Prochloron cells are rarely
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
31
ingested. The authors concluded that the presumed toxicity of Prochloron to
organisms other than the host tunicate may be important not only here, but
in Lissoclinum punctatum, where the Prochloron cells are intracellular and
previous research (Hirose et al., 1996) led to the conclusion that transfer of
photosynthates from the cyanobacterium to the tunicate is the key factor
involved in the assocation.
Simmons et al. (2008) concluded that marine invertebrates in general
are likely to prove particularly rich in bioactive molecules in a range of
microorganisms including cyanobacteria. They suggested that natural selec-
tion began as ancient marine microorganisms were required to compete for
limited resources. These pressures resulted in the evolution of diverse gene-
tically encoded small molecules with a variety of ecological and metabolic
roles. Many of the most biologically active molecules derive from inverte-
brates richly populated by associated microorganisms.
In addition to toxicity to animals, there are accounts of toxicity to other
organisms, including possible allelopathic effects on other cyanobacteria
and eukaryotic algae. There have been numerous reports of toxicity of cyano-
bacterial strains to bacteria and fungi (Patterson et al., 1994). Caution is
needed in assessing the results of studies where the strains were non-axenic
or had been in culture collections for many years and hence risk of their
ability of bioactive molecules being lost altogether, making it hard to assess
the ecological significance of the findings.
4.4. ALLELOPATHY
4.4.1. Cyanobacteria against eukaryotic algae
Comments that dense blooms of ‘blue-green algae’, usually include only
low densities of algae belonging to other phyla go back at least as far as
Lefèvre (1932). There were a number of quite detailed studies in the 1960s
and 1970s which suggested that, even if the chemical environment was
especially favourable for a particular species, antagonistic effects were
involved as well. Vance (1965) investigated the situation in Randolph Pond,
Missouri, in particular detail. Only six species were consistent and important
constituents of blooms, the most important being Microcystis aeruginosa,
Coelosphaerium naegelianum and Aphanizomenon flos-aquae. When Micro-
cystis was at its maximum, Aphanizomenon was hardly detectable, and vice
versa. Vance commented that it was improbable that the abrupt decline of a
bloom can be attributed to nutrient deficiency alone, and produced evidence
suggesting that active metabolites may play an important role. Tests with
laboratory inocula on isolated sections of the pond showed that Microcystis
aeruginosa had more inhibitory activity than any other species. Strong
B. A. WHITTON
32
circumstantial evidence for allelopathy playing a role in bloom succession
in a eutrophic lake was also provided by Keating (1977).
Interest in the possibility of chemical interactions waned for several
decades, but has revived more recently. A great deal more circumstantial
evidence has come from field studies and also strong or direct evidence
from experimental studies in the laboratory. Figueredo et al. (2007) sug-
gested that part of the explanation for changes in Cylindrospermopsis
raciborskii populations in a pond in France (Briand et al., 2002) and re-
servoirs in Brazil (Bouvy et al., 2001) might be due to allelopathy, although
none of the original authors included this when interopreting their results.
Perhaps the most detailed laboratory study is by Schlegel et al. (1999),
where almost all 198 cyanobacterial strains had been isolated recently from
S-E. Asia and Australia. Although many of the strains were not axenic, the
authors included various studies which make it likely that most, if not
all, the observations were due to cyanobacterial allelochemicals. Activity
was tested against species of the planktonic green algae Monoraphidium,
Scenedesmus and Coelastrum. Ten strains of Fischerella, seven Nostoc and
three Calothrix produced antialgal compounds with a broad activity spec-
trum. The 20 active strains were then tested against one strain of each of
three bloom-forming cyanobacteria, Microcystis aeruginosa, Anabaena cir-
cinalis and Nodularia spumigena. Fourteen of the strains active against
green algae killed one or more of the bloom-forming strains, the effects
being particularly strong with three Fischerella strains.
Laboratory studies have led to suggestions that extracellular iron che-
lators (siderophores) may play a role in competitive success, similar to that
known in some bacteria. For instance, Maz et al. (2004) thought it likely
that siderophore(s) played a role in the inhibition of Chlamydomonas rein-
hardtii by Anabaena flos-aquae, but only when the latter was Felimited.
However, allelochemicals inhibiting photosynthetic activities more directly
seem likely to be the most important (Figueredo et al., 2007), though their
molecular structure remains uncertain (see below). Photosystem II seems to
be the target site for cyanobacterial allelochemicals influencing photo-
synthesis (Smith and Doan, 1999; Sukenik et al., 2002). The possible role of
cyanophage in competition between cyanobacterial dominants has not been
considered in most studies, so cannot be ruled as an explanation of some
past observations.
Cell-free filtrates of a Cylindrospermopsis raciborskii bloom and the
medium from cultures of four non-axenic strains of C. raciborskii from the
same lake showed inhibitory effects on photosynthetic activities of Micro-
cystis aeruginosa and two widespread planktonic green algae, though not
much stronger inhibitory effects on the test organisms than the others.
the diatom Navicula sp. (Figueredo et al., 2007). Two of the strains showed
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
33
As well as the growth conditions of the producer organism, the growth con-
ditions of the test organisms can also be important, as shown for Anabaena
doliolum, where photoheterotrophically grown cultures were inhibited by
Fischerella JAVA 94/20 and Nostoc NSW, but not heterotrophic cultures
(Schlegel et al., 1999).
Various authors have investigated whether microcystins inhibit eukar-
yotic algae, but a study (Babica et al., 2007) of the effects of microcystin-LR
and microcystin-RR on five planktonic green algae showed no significant
growth changes at environmentally relevant concentrations (1–10 µg L
–1
),
though there were some effects at much higher concentrations. Pseudokir-
chneriella subcapitata was the most sensitive. The authors included a
thorough assessment of previous studies on the effects of microcystins on
eukaryotic algae. In some cases microcystins had led to an initial stimulation
of growth, followed later by inhibition. However, all reports of inhibition
involved concentrations higher than the range considered environment-
ally relevant. The most sensitive was a unicellular cyanobacterium Syne-
chococcus elongatus, where growth inhibition and biochemical parameters
related to the antioxidative system were found with exposure to micro-
cystin-RR for 6 days (Hu et al., 2005).
The evidence for allelopathic effects of Cylindrospermopsis raciborskii
seems so convincing that Figueredo et al. (2007) suggested this may be a
partial explanation for its recent spread in temperate lakes (Padisak, 1997;
Fastner et al., 2003). As the organism in well-known in tropical and sub-
tropical lakes, its spread has been attributed to climatic warming. However,
Figueredo et al. (2007) wonder whether its rapid increase in particular
temperate lakes may also be due to the inability of native algae in the lakes
to withstand allelochemicals to which they may not have been exposed
previously. If so, the competitive success of C. raciborskii at a site may
decrease when native algal populations acquire improved ability to with-
stand the allelochemicals.
4.4.2. Eukaryotic phototrophs against cyanobacteria
The inhibition of cyanobacterial bloom formation by eukaryotic photo-
trophs has been suggested in several studies and there are reports of green
algae inhibiting other phototrophs in laboratory experiments (e.g. Harris,
1970). Nutrient chemistry is nevertheless usually considered the main factor
favouring dominance of the freshwater plankton by green and other eu-
karyotic algae (Klemer, 1976: see above). However, several submerged
vascular plants (e.g. Myriophyllum spicatum) produce polyphenolic com-
pounds inhibitory to cyanobacteria (Nakai et al., 2000; Leu et al., 2002).
Presumably the presence of dense beds of submerged aquatics would reduce
B. A. WHITTON
34
the likely of blooms occurring in shallow lakes, but the field data supporting
this are largely circumstantial.
4.4.3. Barley straw
Barley straw is now used widely in the British Isles and some other tem-
perate countries to control the development of cyanobacterial blooms (Welch
et al., 1990; Gibson et al., 1990; Martin and Ridge, 1999; Brownlee et al.,
2003) and the release of polyphenolics from rotting stems has been sug-
gested to be the main factor involved (Pillinger et al., 1994; Everall and
Lees, 1997). Other factors such as microbial activity and increased density
of zooplankton grazers have also been suggested. The method has proved
rather less successful in North America (e.g. Boylan and Morris, 2003),
perhaps due to different barley cultivars or fertilizer application. Although
there are conflicting reports on how effective the method is, there is con-
vincing evidence for success in shallow, well aerated waters, when care is
taken in applying the straw – sufficient bales sufficiently early for rotting to
be well underway by the time a bloom population would normally start to
increase – typically, late spring in temperate regions.
Barrett et al. (1999) observed no change in response after the use of
barley for six consecutive years. However, several authors have raised the
possibility that continued use may lead to more sensitive species or strains
being replaced with less sensitive ones. The author has observed at a very
shallow water site on the Isle of Sheppey, UK, where straw bales have been
used for a number of years, that there has been a change from dominance
by Oscillatoria agardhii and O. redekei to one by Anabaenopsis. The shift
from non-N
2
-fixers to a N
2
-fixer might of course have been due to other
factors. Repeated addition of organic matter to a shallow water might itself
lead to changes in water chemistry, such a shift in the N : P ratio.
An experimental study with decaying rice straw showed inhibition of
cyanobacterial growth and nitrogen fixation, apparently due to phenolic com-
pounds (Rice et al., 1980). Anecdotal reports from deepwater rice farmers
in Bangladesh to the author also indicate that leaving rice straw to rot on
soils in autumn decreases winter growths of cyanobacteria. Perhaps the
straw of some rice cultivars could be used to control cyanobacterial blooms in
warmer regions in a manner similar to barley in temperate regions.
5. Influence of Environment on Toxins and Toxicity
There is considerable evidence for some toxins that the concentrations
present in a population or individual culture can change markedly. For in-
stance, the monitoring of microcystin concentrations in lakes has shown a
high variability in space and time (Kardinaal and Visser, 2005). Cox et al.
CYANOBACTERIAL DIVERSITY AND ENVIRONMENT
35
(2005) concluded that BMAA production and storage is a function of growth
conditions and/or life cycle stage. They quoted results for Calothrix and
Nodularia spumigena cultures, where initial samples showed no BMAA,
but quantifiable amounts later. Detailed results obtained by Ballot et al.
(2004) on the range values for microcystins (assayed as microcystin-LR
equivalents) and anatoxin-a present in the cyanobacterial populations in two
Rift Valley Lakes are of particular interest, because L. Sonachi was domi-
nated by Arthrospira fusiformis and L. Simbi co-dominated by it. A mono-
cyanobacterial strain of A. fusiformis isolated from L. Sonachi was shown to
produce microcystin-YR and anatoxin-a. As A. fusiformis is closely related
to A. platensis, the source of the health food marketed as Spirulina (Vonshak
and Tomoselli, 2000), it is especially important to establish what factors can
influence toxin production in this genus.
Most studies on the influence of environmental effects have dealt with
Microcystis aeruginosa. Mez et al. (1998) summarize the conclusions from
various studies, but it is difficult to generalize. The most convincing con-
clusion is about light, with intensity having a positive effect on growth rate
and toxin concentrations assayed in several laboratory studies (Watanabe
and Oishi, 1985; Van der Westhuizen and Eloff, 1985; Van der Westhuizen
et al., 1986; Utkilen and Gjølme, 1992), which taken together give evidence
for a correlation between growth rate and light intensity on M. aeruginosa.
Light has also been shown to have an effect on the transcription of genes for
microcystin biosynthesis (Kaebernick et al., 2000). The situation is com-
plicated by the fact that light can determine which microcystin variants are
actually produced (Rohrlack and Hyenstrand, 2007). Microcystis PCC 7806
produced mainly (D-Asp3) microcystin-LR in the light, but switched
to microcystin-LR in the dark. Interpretation of results in nature also requires
understanding of the effects of environmental factors. For instance, Sedmank
and Kosi (1998) found marked effects of microcystins at very low light in-
tensity (4 µmol photon m
–2
s
–1
).
The responses to other environmental factors cases have led to even
more contradictory conclusions, but the results can often be interpreted dif-
ferently from the ways the authors did, especially in studies on nutrients, so
it is well worth reading the original papers in full. As shown in several re-
ports mentioned above and a study of Cylindrospermopsis raciborskii (Saker
and Neilan, 2001), stressful conditions sometimes provide a stimulus for
production of toxins and allelochemicals.
6. Concluding Comments
Information about the relative importance of the environment and genoty-
pic differences is essential for predicting future changes in the toxicity of
B. A. WHITTON
36
species at a site. Field studies on toxicity can provide quantitative data for
statistical purposes and insight on factors difficult to assess in the labo-
ratory, such as possible interactions with cyanophage, bacteria and zoo-
plankton. Experimental studies in the laboratory on the influence of the
environment can help interpretation of the results of quantitative field data,
but in the long term it is important to understand how toxin synthethis is
regulated at the biochemical and molecular levels, since this may provide
clues on the cellular functions of the toxins (Börner and Dittmann, 2005).
The rapid progress in molecular studies means it is now worth relooking
more critically at the results of previous field and laboratory studies.
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V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 45
TOXICITY OF FRESH WATER ALGAL TOXINS TO HUMANS
AND ANIMALS
ANNALISA ZACCARONI*, DINO SCARAVELLI
Department of Veterinary Public Health and Animal
Pathology,Veterinary School, University of Bologna
in fresh waters. Algae are considered less dangerous than cyanobacteria,
because even if they can proliferate quite intensively in eutrophic fresh
waters, they rarely accumulate to form dense surface blooms like blue-green
algae do. Thus the toxins they produce do no accumulate to levels high
enough to become hazardous to human and animals health.
Cyanobacteria both planktonic and benthic species, can instead form huge
agglomeration close to the shore, which can become very dense and con-
centrated. This material can take a long time to disperse and so become a
risk for human health and mainly for animals, which can easely enter in
contact with poisoned water. Lots of blue-green algae species have been
found to produce toxins, and some authors assume that it could be prudent
to assume that any cyanobacterial population can have a toxic potential. At
present known toxins are classified as neurotoxins (anatoxin-a, anatoxin-
a(s) and saxitoxin), cytotoxin or cylindrospermopsin and microcystins or
nodularins. Anyway, starting from existing studies, it seems likely that
other unidentified toxins exists.
Neurotoxins act by blocking neuronal signal transmission with two main
mechanisms: anatoxins act as acetylcholine mimic (anatoxin-a) or as choline-
sterase inhibitor (anatoxin-a (s)), causing an organophosphate like syndrome,
______
*To whom correspondence should be addressed. Annalisa Zaccaroni, Viale Vespucci 2, 47042
Cesenatico (FC), Italy. Email: annalisa.zaccaroni@unibo.it
Abstract: Algae and cyanobacteria are responsible of the presence of toxins
© Springer Science + Business Media B.V. 2008
A. ZACCARONI AND D. SCARAVELLI
46
while saxitoxin acts by blocking the sodium channel, thus disrupting sodium
balance into nerve cells. Despite their high toxicity, their only occasionally
are responsible of human intoxication, while neurotoxicity may be experi-
enced by livestock and pets, that can drink polluted water or ingest scum
material.
Cytotoxin is an alkaloid that blocks protein synthesis by binding to DNA or
RNA. It’s responsible for cytogenetic damages via DNA strand breaks and
loss of whole chromosomes (aneuploidy) and has proved to be potentially
carcinogenetic. Finally, it was found that cylindrospermopsin toxicity is
associated with significant losses of glutathione and depletion of glutathione
results in cell death. The fall in glutathione levels is due to an inhibition of
the final common pathway of glutathione synthesis, and this in turn contri-
butes to cylindrospermopsin cytotoxicity, as lower cell glutathione levels
predispose to cylindrospermopsin toxicity. Numerous reports involving the
poisoning of farm and wild animals following drinking water from lakes
and ponds containing surface scum from cyanobacterial blooms exist, most
have been documented in Australia. Australia was also interested by human
poisoning episodes via drinking water, with patients escaping death only
through skilled and intensive hospital care.
Microcystins are the most frequently occurring and widespread of the cyano-
toxins; they act by blocking protein phosphatases 1 and 2a, causing toxicity
at the hepatic level, as they use bile carrier to pass through cell membranes.
Microcystins toxicity is greater after intraperitoneal injection, but also in-
tranasal exposure showed high toxicity, being this uptake route relevant for
water sports activities (i.e. waterskiing). Nodularins toxicity has shown to be
cumulative, as a single oral dose resulted in no hepatic damage, while the same
dose applied daily over several days caused hepatic injury. Microcystins have
also shown to be tumor-promoting agents, as they can increase the incidence of
hepatic tumors in human too.
Concerning Fresh Water Algae, their toxicity is considerably lower than
that of cyanobacteria, because algae do not have effective mechanism of
accumulation and the toxic potency of their toxins is several order of magni-
tude lower than that of cyanotoxins. Available data reports about dino-
flagellates within or related to the Peridinium genus as potential producers
of toxins (ichtyotoxins).
Ichtyotoxins caused fish kills and have shown to
have an algicidal effect on the cyanobacteria Microcystis aeruginosa. It is
FRESH WATER TOXINS
47
possible that toxic blooms of dinoflagellates in freshwater occur more
frequently than reported and that they affect the biota in those habitats.
after Uroglena spp. and Gonyostomum semen exposure, but clear toxic
episode was reported.
1. General Characteristics of Fresh Water Toxins Producing
Organisms
Freshwater algal toxins are produced by both algae and cyanobacteria (also
called blue-green algae). Toxins are secondary metabolites of normal meta-
bolism of the algae and of cyanobacteria, which present a different degree
of toxicity: the less toxic induce dermatitis, the most dangerous are hepato-
toxic. Generally speaking, algae produce less potent toxins and are rarely
responsible of toxic episodes (WHO, 2003).
The algae that produce toxins are small unicellular autotroph organisms,
which perform photosynthesis and organication. Cyanobacteria are orga-
nisms which have intermediate characteristics between algae and bacteria.
So they are photosynthetic, but their cellular structure is similar to that of
bacteria, i.e. they lack a cellulose outer wall, do not reproduce sexually and
do not have membrane-bound nuclei or specialized organelles. They posses
an accessory pigment, phycocyanin, unique to cyanobacteria, which has a
bluish color, thus cyanobacteria are also called blue-green algae (Echlin,
1966; Kotak et al., 1995; Rapala and Sivonen, 1998).
Bloom formation is eased by a stable water column, warm waters, high
nutrient concentrations, high pH, low CO
2
and low grazing rate by zoo-
plankton (Zurawell et al., 2005).
Usually algae do not produce blooms, while blue-green algae produce
important blooms. This differential behavior is partly responsible of the
different toxicity and dangerousness of the two groups. Indeed, by not acc-
umulating in the environment to form blooms, algae do not produce toxins
amounts high enough to threaten human, livestock or wildlife health. On the
contrary, blooms formed by cyanobacteria produce not only cells accu-
humans or livestock (WHO, 2003).
Main exposure way is through recreational and drinking waters, and ab-
sorption ways are ingestion, contact and inhalation. Human activities, causing
from fish larvae preying. In human some allergic reaction has been reported
Toxins production is considered as a defensive strategy for dinoflagellates
mulation, but also an increase in toxins concentrations to levels hazardous to
Keywords: Cyanobacteria, toxins, syndromes, therapy
A. ZACCARONI AND D. SCARAVELLI
48
eutrophication, are among causes responsible for the increase in proliferation
of both algae and cyanobacteria, by increasing the concentration of nutrients
necessary for their development and growth. Cells proliferation highly impacts
the quality of waters even when no evident bloom is formed.
At present little knowledge is available on toxins of algal origin, even if
some evidence exists of toxicity of algae to humans and fish, due to ex-
posure to Peridium polonicum (WHO, 2003).
Much more information exist on cyanobacteria toxins, which have been
chemically characterized and for which producing organisms have been
identified. At present 46 species of toxins producing blue-green algae have
been identified, and 60% of studied strains have proved to contain toxins.
First evidence of cyanobacterial intoxications dates up to 1878, when a
livestock poisoning in Australia was attributed to blue-green algae presence
and to toxin production. “…Symptoms-stupor and unconsciousness, falling
and remaining quiet, as if asleep, unless touched, when convulsions come
on, with head and neck drawn back by rigid spasm, which subsides before
death. Time- sheep, from one to six or eight hours; horses, eight to twenty-
four hours; dogs, four to five hours; pigs, three or four hours” (Francis,
1878).
All this considering, present chapter will focus on cyanobacteria toxins.
Cyanobacteria include both pelagic and benthic species, which form two
different kind of aggregates.
Pelagic species can float in water column, vertically migrating depending
on temperature, light and nutrient availability. These species contain intra-
cellular gas vesicles which help the cells in buoyancy and in maintaining
their position at desired depth in water column. In order to move through
water column, blue-green algae change the dimensions and the number of
vesicles. It has been observed that positive buoyancy is obtained by forming
proteinaceous gas containing vesicle. Conversely, reduction of buoyancy
result from polysaccharide accumulation and increased cellular turgor pres-
sure; polysaccharide act as ballast molecules, while increased pressure indu-
ces collapse of vesicles (Reynolds and Walsby, 1975; Kromkamp, 1987;
Humphries and Lyne, 1988; Walsby, 1994; WHO, 2003).
Vesicles dimensions are also adapted to atmospheric conditions, in parti-
cular to wind and waves, and are slowly adapted to weather changes. This
can lead to an increase of surface concentration of cells and to the formation
of floating scums when weather condition turn to less windy (Chorus and
These scums can be redispersed by wind and waves action, which can
also lead to persistence of scums themselves, by accumulating them to the
Bartram, 1999; WHO, 2003) (Fig. 1).
FRESH WATER TOXINS
49
Figure 1. Scums formation. A: cyanobacteria float in calm water; B: water conditions change
and cells concentrate on water surface; C: wind accumulate cyanobacteria to the shore.
shore. Wind and waves can also produce a slow dispersal by shore washing
or cell disintegration, causing the release of toxins in the environment and
Benthic species growth on different substrates (as mud or rocks) and
form mats on it, which can then be washed by waves to the shore. When
reaching the shore, they can be scavenged by dogs, livestock and wildlife,
thus causing toxicity. These cyanobacteria species have a smaller impact on
human health with respect to pelagic species, because they have a smaller
chance to be ingested, as they can be easily seen and avoided by man
(Edwards et al., 1992; Mez et al., 1997; Mez et al., 1998).
A major hazard for humans occurs when mats do not reach the surface.
Mats form when water is extremely clear, as light should reach the bottom
in order for blue-green algae to replicate, and thus water is perceived by
users as safe because it does not present “floating pollution” (WHO, 2003).
potentially increasing toxicity of water (WHO, 2003) (Fig. 2).
A. ZACCARONI AND D. SCARAVELLI
50
Three main classes of cyanotoxins exist:
Microcystins or nodularins
Neurotoxins
Cytotoxin or cylindrospermopsin.
Figure 2. Scums movements depending on weather conditions. A: wind accumulate cells in
two different, discontinuous parts of the pond; B: wind direction changes and a uniform
scum forms on the other side of the pond.
FRESH WATER TOXINS
51
Laboratory studies have underlined that probably other unidentified
toxins exist, starting from the toxic effects observed in cells cultures and
fish eggs exposure trials, which could not be ascribed to know toxins.
Most species have been found to produce both microcystins and neuro-
toxins; wild populations have been proved to be a mixture of toxic and
non-toxic strains, so that not always the presence of a potentially toxin-
These toxins have different mechanisms of action, which will be de-
scribed in following sections. Briefly, they can be resumed as follow:
Microcystins block protein phosphatases thus acting as cytotoxic com-
pound, being liver their main target (they are indeed considered as
HEPATOTOXIC compounds);
Neurotoxins act by blocking neuronal signalling;
2. Effect of Cyanobacteria on other Species
Cyanobacteria have a potential impact zooplankton, invertebrates and verte-
2.1. ZOOPLANKTON
Herbivorous plankton feeds on phytoplankton, including blue-green algae.
If any accumulation of toxins or toxic effect occurs at this level, causing
an alteration in planktonic populations, a disruption in trophic food chain
can occur.
A direct inhibition on zooplankton growth has been observed after ex-
posure to toxic cyanobateria or their toxins. Lots of studies have focused
copepods. This inhibition lead to a reduction of grazing and an increased
rate of rejection of food. A reduction of reproductive capacity, of growth, of
et al., 1986; Vanderploeg et al., 1990; Reinikainen et al., 1994; DeMott and
Dhawale, 1995; Weithoff and Walz, 1995; Kurmayer and Jüttner, 1999;
Thostrup and Christoffersen, 1999).
The intensity of the effect depends on the species and the strain studied,
on the stage of development of zooplankton and on environmental condi-
tions, like temperature or food. The inhibitory effect produce a reduction
of competitive capacity of affected species with respect to more resistant
on mycrocystins, which block phosphatases activity in cladocerans and
individuals’ dimensions and of survivor was observed (Arnold, 1971; Nizan
producing species coincides with real presence of the toxin(s).
Cytotoxin blocks protein and glutathione synthesis.
brates, man included (Fig. 3).
A. ZACCARONI AND D. SCARAVELLI
52
species (Lampert, 1982; Fulton and Paerl, 1988; DeMott, 1989; DeMott
et al., 1991; Hietala et al., 1995; Sartonov, 1995; Weithoff and Walz, 1995;
Gilbert, 1996b; Gilbert, 1996a; Hietala et al., 1997; Claska and Gilbert, 1998;
DeMott, 1999).
Some adaptive mechanism to cyanobacteria presence have been ob-
served in zooplankton species, i.e. the selective grazing on phytoplankton,
avoiding toxic species, registered in copepods. In these species a certain
degree of inhibition in feeding rate and a high physiological sensitivity
to the toxins have been observed, while no such mechanisms seems to exist
in daphnids, which completely stop feeding and which seem to be more
resistant to toxins (DeMott and Moxter, 1991; DeMott et al., 1991; Larson
and Dodson, 1993).
Some “passive selection” mechanism have also been observed, i.e. a strict
correspondence between mouth and prey size in rotifers and cladocerans,
which impede these species to feed on colonial and filamentous blue-green
algae, having them bigger dimensions (Hanazato, 1991; Kirk and Gilbert,
1992; Weithoff and Walz, 1995).
Other defensive mechanisms observed are the modulation of filtrating
rate depending on presence or absence of toxic strains and the modification
of the range of vertical migrations, in order to avoid the areas where toxic
species are present (Forsyth et al., 1990; Berthon and Brousse, 1995).
Indirect effect have also been observed, directed to an alteration of
zooplankton’s habitat, thus reducing its fitness. The algicides property of
cyanobacterial toxins can indeed destroy the algae zooplankton feeds on.
This pesticide-like action of toxins acts on both micro- and macro algae,
reducing food availability and the quality of zooplankton’s habitat (Kirpenko,
1986; Bagchi et al., 1990; Chauhan et al., 1992; Gilbert, 1994; Schriver
et al., 1995).
Direct or indirect effect of cyanotoxins on zooplankton can disrupt also
the structure and the dynamic of planktonic and higher communities. Indeed,
a reduction or an alteration of planktonic population can cause a deficit
or an unbalance in food availability for higher levels of trophic chain
(i.e. fingerling, whose first developmental stages are highly food-selective),
increasing physiological stress and sensitivity to toxins themselves (Gilbert,
1990; Kotak et al. 1996b; Mayer and Wahl, 1997; Thostrup and Christof-
fersen, 1999; Thompson et al., 2000; Jarvis et al., 2006).
By feeding on cyanobacteria, zooplankton can accumulate toxins in
their body and start the bioaccumulation process along food chain. Indeed,
in many cases the amount present in their body is not high enough to cause
direct toxicity for predators, but this residues can be accumulated in target
FRESH WATER TOXINS
53
organs and reach, at higher trophic levels, toxic concentrations (Watanabe
et al., 1992; Laurén-Määttä et al., 1995; Kotak et al., 1996b). Thostrup and
Christoffersen (1999) have shown that Daphnia can accumulate up to 24.5
ȝg/l of toxin/g dry weight; this amount is not toxic to fish which prey on
Daphnia, but they can accumulate the toxins in their body.
Finally, it has been observed that selective filtering activity by zoo-
plankton can induce a selection of blue-green algae present in a pond, cau-
sing an increase and dominance of toxins strain and species with respect to
non toxic ones. Kurmayer and Jüttner (1999) consider that some co-evolutive
biochemical phenomenon could exist between cyanobacteria and grazing
zooplankton, which allows blue-green algae to “use” the selective pressure
exerted by zooplankton to eliminate other primary producers competitors.
2.2. MOLLUSKS AND CRUSTACEAN
In an exposure study in pulmonate mollusks it was observed that toxins
concentration was dependent on the levels of cyanotoxin in phytoplankton
and not on that in water, thus demonstrating that tissue content originates
from food consumption more than from water filtration (Zurawell et al.,
1999).
Lots of species have proved to be able to concentrate toxins in their
body, i.e. Anodonta spp., demonstrating how these organisms represent a
first and fundamental step for the accumulation and transfer of cyanotoxins
along food chain. Indeed, mollusks present main food source for crustacean,
amphibian, birds and human (Andrasi, 1985; Eriksson et al., 1989; Novaczek
et al., 1991; Falconer et al., 1992; Prepas et al., 1997; Watanabe et al., 1997;
Williams et al., 1997; Amorim and Vasconcelos, 1999).
Crustacean can accumulate cyanotoxins in their tissues too, in parti-
cular in hepatopancreas, by both food ingestion and water filtering. These
species have proved to be little or no sensitive to the toxins, thus they can
accumulate high amounts of these metabolites and become, like mollusks,
an important source of pollution and of intoxication for higher levels of
trophic chain, man included (Liras et al., 1998; Saker and Eaglesham, 1999;
Humbert et al., 2001).
2.3. FISH SPECIES
Effect of cyanotoxins on fish species are both indirect and direct. Indirect
effects are those acting on zooplankton, thus reducing food availability, as
already mentioned.
A. ZACCARONI AND D. SCARAVELLI
54
Direct actions of blue-green algae toxins includes the anoxia induced by
blooms proliferations, which can cause massive fish deaths.
Direct toxicity have been described in various fresh water species,
i.e. carp and trout, where liver, kidney and gills were the target organs,
following controlled conditions exposure (Carbis et al., 1996; Kotak et al.,
1996a; Bury et al., 1997). Little information is available concerning toxicity
in field condition, even if some gills lesions have been described in trout,
Abramis brama and Rutilus rutilus (Eriksson et al., 1986; Rodger et al., 1994).
Anyway these lesion are quite general, and can not be directly related to
toxins exposure.
In one case only a direct correspondence between toxin exposure and
toxic syndrome has been proved; indeed, salmon exposed to microcystin
develop the so called Net Pen Liver Disease (NLPD), which have a certain
importance because of the huge economical loss it can cause (Andersen
et al., 1993; Humbert et al., 2001).
2.4. TERRESTRIAL VERTEBRATES
Lots of toxic episodes have been described in pet and livestock, as well as
in wildlife.
As already said, the first report about livestock intoxication dates up
to 1878, in Australia (Francis, 1878). After this report, lots of episodes
were registered, mainly interesting dog, sheep and cows. These intoxica-
tion are worldwide distributed, as cases were registered in Australia, USA,
South Africa and Europe. Most of reports are concerning domestic animals,
also because of their economical value, but some case has been registered
also in wildlife, like white rhinoceros, birds, skunks, minks (Soll and Williams,
1985; Carmichael and Falconer, 1993; Bell and Codd, 1996; Chorus and
Bartram, 1999; Saker et al., 1999; Carmichael, 2001; Pitois et al., 2001; Briand
et al., 2003; Codd et al., 2003; Krienitz et al., 2003; van Apeldoorn et al.,
2007).
2.5. HUMANS
Symptoms and toxicity of each single toxin to human will be described in
more detail in following paragraphs.
In this section, a rapid overview of some important toxic episodes will
be given, in order to give an idea of how diffuse and dangerous these toxins
can be. Generally speaking, human intoxication are due to ingestion of toxic
cyanobacteria or of water contaminated with the toxins (Table 1).
FRESH WATER TOXINS
55
TABLE 1. Possible exposure routes for cyanotoxins (from Codd et al., 1997).
Way of exposure Kind of exposure
Skin contact Toxic scum or mat material
Raw water containing toxic blooms or free toxins
Treated water containing toxic blooms or free toxins
Drinking water Accidental ingestion of toxic scum
Raw water containing toxic blooms or free toxins
Treated water containing toxic blooms or free toxins
Inhalation Toxins during water-sports, showering or work practices
Food consumption Shellfish or finfish if containing toxins
Plant products if containing toxins
Haemodialysis Using water containing free toxins
First report on human intoxication by cyanotoxins dates up to 1931,
when in Ohio (USA) drinking water treatment with copper sulphate in order
to destroy an algal bloom caused the death and lysis of cyanobacterial cells,
thus releasing toxins INTO water. Water consumption caused the intoxic-
ation of thousands of people (Tisdale, 1931).
In following years other episodes were reported in Zimbabwe (1966)
were children were affected, Australia (1983), Brazil (1993), where more
than 2000 people were affected and close to 100 died (mainly children).
In 1996 a serious and deadly episode occurred in Brazil, where more than
100 dialysed persons were affected, and 47 of them died due to the use
of contaminated water for dialysis (Zilberg, 1966; Bourke et al., 1983;
Falconer et al., 1983; Teixeira et al., 1993).
All these findings and reports made the OMS fix a maximum tolerable
level in water of 1ȝg microcystin equivalent/L for the hepatotoxic toxins.
Allergic reactions to algae and cyanobacteria are frequently reported on
the level of anecdotal evidence from eutrophic bathing waters and they are
considered relatively common but are little studied (Yoo et al., 1995).
Pronounced skin reactions in response to a bloom of Uroglena spp. were
observed in a small number of bathers, especially under bathing suits where
cells accumulated and partially disrupted during swimming (Chorus, 1993).
Frequently, divers complain of dermal reactions to algal material accumu-
lating under their wet suits, which tend to act as a strainer which lets out
water, but collects algae between skin and suit. Pressure and friction bet-
ween fabric and skin leads to cell disruption, liberation of content, and in-
tensified dermal exposure not only to algal cell wall material, but also to
substances otherwise largely confined within the cells.
A. ZACCARONI AND D. SCARAVELLI
56
CAUSES
Insufficient treated
sewage
runoff from
fertilized agricultural
areas
manure, effluent
from livestock
runoff from
roads in urban
areas
EFFECT
FERTILISATION OF WATER
(MAINLY WITH PHOSPHORUS )
CONSEQUENCES
MASS DEVELOPMENTS
OF POTENTIALLY TOXIC CYANOBACTERIA
IMPACTS
Water quality:
x Toxicity
x Allergenic effects
x Increased turbidity
x Nuisance odors
E
NHANCING FACTORS
Shallow waters -Long retention times (>1–2 month)
Figure 3. Scheme of the effects of cyanotoxins in aquatic organisms.
It is important to note that allergic reactions are not confined to cyano-
bacteria. The substances which provoke these reactions are likely to be
others than the cyanobacterial toxins. However, allergic reactions require
elevated cell densities in bathing water, and in freshwaters, mass deve-
lopments are most frequently due to cyanobacteria. Further, other groups of
algae do not accumulate as surface scums and therefore their metabolites
will not occur in comparably high concentrations.
FRESH WATER TOXINS
57
Algae have caused irritative coughs in personnel and patients of a
physiotherapeutic unit supplied with coarsely filtered surface water with
which it performed underwater massage treatment. As an example, in
October 1986, a water body was found to contain 4600 to 58000 cells/ml
of the desmid Staurastrum gracile, a species that was not effectively
eliminated by the filter, and has strong cell walls lined with spine and hook-
(Naglitsch, 1988). Whilst this incident may be more a curiosity than a serious
health threat, it does highlight the benefit for management of regular
microscopic examination of bathing and therapeutical waters in order to
recognize algae as a potential cause of health reactions.
3. Microcystins/Nodularins
Microcystins and nodularins are among the most frequently occurring and
widespread cyanotoxins.
They are produced by various species, like Microcystis aeruginosa,
Figure 4. Microcystins and nodularins producing cyanobacteria (A Microcystin, B Anabaena,
C Nostoc, D Planktothrix).
like structures which may well cause irritations of mucous membranes
Anabaena spp., Nodularia spp., Planktothrix and Nostoc (Fig. 4).
A. ZACCARONI AND D. SCARAVELLI
58
3.1. CHEMICAL STRUCTURE
These toxins are classified as cyclic peptides with low molecular weight.
Microcystins are cyclic heptapeptides characterized by a molecular
weight of 800–1100 and by the presence of particular amino acids, which
N-methyldehydroalanine (Mdha)
3-amino-9-methoxy-2,6,8-trimethyldeca-4,6-dienoic acid (Adda)
The most common amino acidic sequence observed is the following:
(D) Ala- (L) X- (D) MeAsp- (L) Z- Adda- (D) Glu- Mdha
1
Nodularins are cyclic pentapeptides whose molecular formula is:
dhBut- (D) MAsp- (L) Arg- Adda- (D) Glu
2
Due to all possible amino acidic combinations more than 60 different
microcystins exist, while only 6 variants of nodularins have been identified
(Table 2).
The analysis of different cyanobacterial microcystins producing strains
revealed that in many cases a single strain can produce more than a single
toxin. On the contrary nodularins producing strains usually synthesizing only
one variant of the toxin.
The molecular structure of microcystins and nodularins make them very
stable and resistant to many eukaryotic and bacterial peptidases. Anyway
they can be broken by aquatic bacteria living in the rivers and reservoirs
where cyanobacteria develop. The degradation of toxins requires a lag phase,
where little or no loss of cyanotoxin occurs, lasting from two days up to
three weeks, followed by an active degradation process, which lead to the
removal of up to 90% of total toxins within 2–10 days. Environmental con-
ditions and initial microcystins concentrations have proved to condition the
duration of these two phases. Generally speaking, bacteria can degrade with
high efficiency microcystins, but not nodularin (Jones et al., 1994; Rapala
et al., 1994; Cousins et al., 1996; Lahti et al., 1997a; Lahti et al., 1997b).
______
1
MeAsp: D-erythro-ȕ-methylaspartic acid
2
dhBut: N-methyldehydrobuthyrine
can be only found in these toxins (Fig. 5):
FRESH WATER TOXINS
59
Figure 5. Chemical structure of microcystins (a) and nodularins (b).
a)
b)
A. ZACCARONI AND D. SCARAVELLI
60
TABLE 2. List of identified variants of microcystins, their molecular weight and toxin
producing species (Chorus and Bartram (1999) modified).
Microcystin M.W. Cyanobacterium
Mcyst-LA 909 M. aerug., M.vir.
Mcyst-LAba 923 M. aerug.
Mcyst-LL 951 M. aerug.
Mcyst-AR 952 M. spp.
Mcyst-YA 959 M. aerug.
[D-AspDha]Mcyst-LR 966 M. aerug., Anab.
[D-AspDha]Mcyst-EE(OMe) 969 Anab.
Mcyst-VF 971 M. aerug.
[D-Asp]Mcyst-LR 980 A. flos-aq., M. aerug., M.vir., O. agard.
[Dha]Mcyst-LR 980 M. aerug., Anab., O. agard.
[DMAdda]Mcyst-LR 980 M. spp., Nostoc
[Dha]Mcyst-EE(OMe) 983 Anab.
[D-AspDha]Mcyst-E(OMe)E(OMe) 983 Anab.
Mcyst-LF 985 M. aerug.
Mcyst-LR 994 M. aerug., A. flos-aqu., M. vir.
[D-AspD-Glu(OCH
3
)]Mcyst-LR 994 A. flos-aq.
[(6Z)-Adda]Mcyst-LR 994 M. vir.
[Dha]Mcyst- E(OMe)E(OMe) 997 Anab.
[L-Ser]Mcyst-LR 998 Anab.
Mcyst-LY 1001 M. aerug.
[L-Ser]Mcyst-EE(OMe) 1001 Anab.
[D-AspSer]Mcyst-E(OMe)E(OMe) 1001 Anab.
Mcyst-HiIR 1008 Microcystis
[D-AspADMAdda]Mcyst-LR 1008 Nostoc
[D-Glu(OCH
3
)]Mcyst-LR 1008 A. flos-aq., M. spp.
[D-AspDha]Mcyst-RR 1009 M. aerug., M.vir., O. agard.
[D-AspADMAddaDhb]Mcyst-LR 1009 Nostoc
[L-MeSer]Mcyst-LR 1012 M. spp.
[Dha]Mcyst-FR 1014 M. spp.
[L-Ser]Mcyst-E(OMe)E(OMe) 1015 A. spp.
[ADMAdda]Mcyst-LR 1022 Nostoc
[D-Asp]Mcyst-RR 1023 M. aerug., Anab., O. agard.
[Dha]Mcyst-RR 1023 M. aerug., Anab., O. agard.
Mcyst-LW 1024 M. aerug.
Mcyst-FR 1028 M. spp.
Mcyst-M(O)R 1028 M. spp.
[Dha]Mcyst-HphR 1028 Anab.
[D-AspADMAdda]Mcyst-LHar 1022 Nostoc
(Continued)
FRESH WATER TOXINS
61
[D-AspDha]Mcyst-HtyR 1030 Anab.
[Dha]Mcyst-YR 1030 M. aerug.
[D-Asp]Mcyst-YR 1030 M. spp.
Mcyst-YM(O) 1035 M. aerug.
[ADMAdda]Mcyst-LHar 1036 Nostoc
Mcyst-RR 1037 M. aerug., M.vir., Anab.
[(6Z)-Adda]Mcyst-RR 1037 M.vir.
[D-Ser 1 ADMAdda]Mcyst-LR 1038 Nostoc
[ADMAddaMeSer]Mcyst-LR 1040 Nostoc
[L-Ser]Mcyst-RR 1041 Anab., M. aerug.
[D-AspMeSer]Mcyst-RR 1041 O. agard.
Mcyst-YR 1044 M. aerug., M.vir.
[D-Asp]Mcyst-HtyR 1044 A. flos-aq.
[Dha]Mcyst-HtyR 1044 Anab.
Mcyst-(H4)YR 1048 M. spp.
[D-Glu-OC
2
H
3
(CH
3
)OH]Mcyst-LR 1052 M. spp.
[D-AspADMAdda.Dhb]Mcyst-RR 1052 Nostoc
Mcyst-HtyR 1058 A. flos-aq.
[L-Ser]Mcyst-HtyR 1062 Anab.
Mcyst-WR 1067 M. spp.
[D-Asp.ADMAdda.Dhb]Mcyst-HtyR 1073 Nostoc
[L-MeLan]Mcyst-LR 1115 M. spp.
3.2. MECHANISM OF ACTION
Microcystins and nodularins enter the organism by using bile acid transport
system of hepatic and intestinal cells; they can be thus accumulated in liver,
An alternative way of absorption for these toxins is intranasal way, which
is particularly important when microcystins and nodularins are released in the
environment after cell lyses. This way of absorption gives great concern for
recreational waters: inhalation of droplets and spray formed by water sport
activities can lead to a high absorption of toxins by human.
They mainly effect hepatocytes, where they inhibit protein phosphatases
(PP) by covalently binding to the enzyme in the case of microcystins, and
with a non-covalent bond for nodularin. This binding blocks proteins
dephosphorilation, affecting cytoskeleton proteins too. As a consequence
of PP inhibition, the most affected cytoskeleton components are polymers
known as intermediate filaments and microfilaments. Their formation and
gut and kidney (Fig. 6).
A. ZACCARONI AND D. SCARAVELLI
62
structure is a balance between addition and loosing of subunit in intermediate
filaments and of association and dissociation in microfilaments. This balance
is controlled by the action of PP, which remove phosphate groups, and
protein kinases (PK) which add phosphate groups. Thus the inhibition of PP
increase the rate of phosphorilation and consequently of subunit loss and
dissociation (Carmichael, 1994).
As a consequence of exposure to hepatotoxins, intermediate filaments,
at first, and microfilaments loose their organization and cytoskeleton shrinks.
This causes the withdrawal of fingerlike projections which allow hepatocyte
to interact with neighboring cells, breaking the cell’s contact with the other
hepatocytes and with sinusoidal capillaries. Thus induced alterations causes
a reorganization of cells structure, with the appearance of swallowing of
cells, cells retraction and overposition. Cells detach from vessels and vessels
An additional target of microcystin is ȕ-subunit of ATP synthase, caus-
ing mitochondrial apoptotic signaling, but only at high concentrations.
Finally, it has been proved that microcystins enhance oxidative stress.
The exposure to the toxins induces formation of reactive oxygen species, loss
of mitochondrial membrane potential, mitochondria permeability, transition
and activation of calpain and Ca
2+
/calmodulin-dependent protein kinase II.
All of these effects lead to cells apoptosis (Mikhailov et al., 2003).
Radicals formation induces alteration of cytoskeleton structures and
LDH leakage.
A protective role was defined for glutathione: binding to glutathione in-
crease water solubility and excretion of the toxins. Protective action is exerted
by linking to the same microcystin molecule moiety which binds to protein
phosphatases, namely at the Mdha. Thus any phenomena which causes
glutathione depletion limits the detoxifying capacity of the organism and/or
the prevention of oxidative damage (Runnegar et al., 1987; Hermansky
et al., 1991; Pace et al., 1991; Gehringer, 2003).
On the long term, microcystins and nodularins have proved to act as
tumor promoters. Indeed, PP and PK not only influence cell structure, but
also regulate cell proliferation, by promoting cell division cycle (PK) and
inhibiting cell division (PP). Thus PP blocking stimulate cell division; if such
a phenomena appears after carcinogenic mutation, it facilitates the develop-
ment of tumors, by enhancing mutated cells proliferation; thus cyanotoxins
should be classified as tumor PROMOTORS and not as tumor INDUCERS
(Carmichael, 1994; Sivonen and Jones, 1999).
themselves loose their organization (Fig. 6). This general alteration lead to
blood accumulation in liver, hemorrhage and death of the organism within
a few hours up to a few days (Carmichael, 1994).
FRESH WATER TOXINS
63
Figure 6. Mechanism of action of microcystins.
Toxicity has proved to be cumulative, due to the irreversible covalent
bond microcystin-PP, which increase in number following a higher and/or
longer exposure to the toxin. Thus the cells damage becomes more severe
with increasing dose and/or exposure time.
It has been observed that microcystins and nodularins, once solubilised
in water, adopt a chemical shape that is fundamental for the interaction of
the toxins with PP. Indeed, the molecule maintains a saddle-shaped motif,
with the free carboxyl groups of D-MAsp and D-Glu projecting laterally
and the Adda moiety extending posteriorly from the rigid cyclic backbone.
This structure allows the Adda moiety to fit to the hydrophobic groove at
the active site; the two carboxylate group and a carbonyl oxygen at the
metal-binding site; the L-Leu side chain at a tyrosine at the edge of the
C-terminal groove near the active site (Bagu et al., 1995; Goldberg et al.,
1995).
A. ZACCARONI AND D. SCARAVELLI
64
3.3. SYMPTOMS AND TREATMENT OF TOXICOSES IN HUMANS
Syndromes observed after ingestion (via drinking or recreational waters) or
breathing of cyanotoxins vary depending on the amount of toxin introduced
(Carmichael, 2001)
.
Observed symptoms following the ingestion of small amounts of micro-
cystins and/or nodularins can be ascribed to hepatitis, renal and intestinal
failure. They include weakness, anorexia, headache, gastric ache, pallor of
mucous membranes, vomiting, painful hepatomegaly, urinary bleeding, cold
extremities, diarrhea. This syndrome requires hospitalization of affected
people in order to recover (Turner et al., 1990; Carmichael, 1992; Carmichael,
1994; Carmichael, 1997; Carmichael, 2001).
Chronic exposure to low levels of toxins induces chronic alteration
of liver and digestive tract, with necrosis, progressive cellular fibrosis and
leucocytes infiltration of damaged tissues (Carmichael et al., 1988; Yu, 1989;
Carmichael and Falconer, 1993; Carmichael, 1994; Harada et al., 1996; Ueno
et al., 1996).
In more severe cases, where exposure is to high levels of toxins, death
can occur, due to intrahepatic hemorrhage and hypovolaemic shock, within
few hours after exposure (Carmichael, 1992; Carmichael and Falconer,
1993; Carmichael, 1994; Carmichael, 1997; Carmichael, 2001).
As already explained, chronic and sub-chronic exposure to hepatotoxins
seems to be tumor promoting, as has been proved in China by an epi-
demiological study. In that research a elevated correlation between liver
hepatocellular carcinoma incidence and microcystins presence in drinking
water was observed. Microcystins were considered as a co-factor for tumor
appearance, together with Aflatoxins B1 and hepatitis B virus. The remo-
val of both three co-factors reduced liver cancer incidence (Yeh, 1989; Yu,
1989; Zhu et al., 1989).
Direct contact with blue-green algae blooms induces gastritis (due to
occasional ingestion of cyanobacteria), acute dermatitis and hay-fever-like
symptoms, i.e. rhinitis, conjunctivitis and asthma, following skin and nasal
contact. Many of affected people give positive skin test against algal extracts,
suggesting an allergic mechanism at the base of the adverse reaction
(Billings, 1981; Carmichael et al., 1985; Codd and Bell, 1985).
Lots of episodes have been reported concerning exposure to hepato-
toxins by drinking or recreational waters.
The first case reports dates up to 1844 in London, when a woman pre-
senting severe abdominal pain eliminated Oscillatoria shred per rectum
(Farre, 1844).
The first case of massive intoxication due to microcystins was reported
by Tisdale (1931) and refers to a bloom of Microcystis sp. in Ohio and
FRESH WATER TOXINS
65
Potomac rivers, which caused the intoxication of thousands of persons
consuming rivers’ waters.
In following years, lots of episodes were reported in USA, Australia,
South America and Africa.
In 1966 gastroenteritis was observed in children living in Harare,
Zimbabwe, following Microcystis blooms in a water supply reservoir
(Zilberg, 1966).
In 1974, pyrogenic reactions, i.e. chills, fever, myalgia, nausea, vomiting
and hypotension, were observed in 23 patients of a private dialysis clinic
near Washington, USA. High levels of toxins were detected in potable
water supply and coincided with a blue-green algae bloom. The outbreak
stopped when the cyanobacteria count declined (Hindman et al., 1975).
In 1983 in Armindale, Australia, water supply ponds were treated with
copper sulphate (1 ppm) in order to eliminate a Microcystis bloom. Follo-
wing the termination of the bloom a toxic episode characterized by in-
creased liver enzyme activity, namely c-glutamyl-transferase, was observed
(Gilroy et al., 2000; Rao et al., 2002).
The two most lethal poisonings attributed to cyanobacteria in drinking
water occurred in Brazil. The first one occurred in 1993 and concerned a
massive Anabaena and Microcystis bloom in Itaparica Dam, where 2000
cases of gastroenteritis resulting in 88 deaths, mostly children, were re-
ported (Rao et al., 2002).
In 1996, an second outbreak of acute liver failure at a haemodialysis
centre in Caruaru occurred. 116 out of 131 patients experienced visual dis-
turbances, nausea and vomiting after routine haemodialysis treatment.
Subsequently, 100 patients developed acute liver failure, and of these 76
died. Following studies led to the conclusion that the major contributing factor
to death of the dialysis patients was intravenous exposure to microcystins,
specifically microcystin-YR, -LR and -AR with dialysis water (Carmichael
et al., 2001; Azevedo et al., 2002).
Man can also be exposed orally via algal health food products.
These products are potentially hazardous if they contain any of the toxi-
genic species or strains of cyanobacteria. Many of these products contain
Aphanizomenon flos-aquae, a blue-green alga that is harvested from Upper
Klammath Lake in southern Oregon, USA. Because M. aeruginosa coexists
with A. flos-aquae, it can be collected inadvertently resulting in microcystin
contamination of blue-green algae health products.
Dermal exposure may occur during recreational use of water bodies and
during showering and can cause blistering of lips and allergic reactions, like
contact dermatitis, asthma, hay fever and conjunctivitis (Rao et al., 2002).
In the UK in 1989, 10 out of 20 army recruits developed vomiting, diarrhoea,
A. ZACCARONI AND D. SCARAVELLI
66
central abdominal pain, blistering of the lips and sore throats after swimming
and canoe training in water with a dense bloom of Microcystis spp. Two of
the recruits developed pneumonia attributed to the aspiration of Microcystis
toxin and needed hospitalization and intensive care. The severity of the illness
appeared to be related to the swimming skills and the amount of water in-
gested (Chorus and Bartram, 1999).
Epidemiological evidence of adverse health effects after recreational water
contact was established in a prospective study involving 852 participants.
Results showed an elevated incidence of diarrhoea, vomiting, flusymptoms,
skin rashes, mouth ulcers, fevers, eye or ear irritation within 7 days follo-
wing exposure. Symptoms increased significantly with the duration of water
contact and cell density of cyanobacteria (Chorus and Bartram, 1999).
Twenty-six cases with skin diseases and multiple systemic symptoms
associated with exposure (some via drinking water) to river water or rain
water were reported in Australia during 1991–1992. The water was stored
in open tanks and contained Anabaena blooms (WHO, 1998). Illness in
humans associated with inhaling microcystins had been reported. The
intranasal route appeared to be as toxic as the intraperitoneal route. There-
fore, the risk posed by inhaling microcystins during showering should be of
concern (Duy et al., 2000).
No specific treatment exists for cyanobacteria intoxications.
Therapy is basically symptomatic, aimed at maintaining and restoring
organism functions. In some occasions antihistaminic drugs and cortisone
have been proved to be helpful in allergic reactions following skin contact
with blooms or scum.
In mice antioxidant administration, i.e. carotenoids, seems to have a pro-
tective role against more severe intoxication. Anyway, this protective action
was seen only if antioxidants were administered BEFORE microcystin ex-
posure, thus this treatment seems to have no therapeutic application (Negri
and Jones, 1995).
An inhibition of microcystins action on cell cultures, namely on mor-
phological alterations, has been proved by cyclosporine A and rifampicine
(Dawson, 1998). No application to humans is actually considered.
3.4. TOXICOSES IN ANIMALS
Microcystin are responsible for intermittent, but repeated cases of poi-
soning in wild and domestic animals. They were attributed as the cause of
death of cattle, geese, sheep, pigs, horses, dogs, cats, squirrels, poultry,
waterfowl and birds. In both wild and domestic animals, hepatoxicosis was
seen. The signs of hepatoxicosis included weakness, reluctance to move
about, anorexia, pallor of extremities and mucous membranes, and mental
FRESH WATER TOXINS
67
derangement. Death occurs within a few hours to a few days and is often
preceded by coma, muscle tremors and general distress. Death is believed
to be the result of intrahepatic haemorrhage and hypovolemic shock (Duy
et al., 2000).
A water bloom of N. spumigena in Lake Alexandrina, Australia, which
is a shallow lake at the termination of the River Murray, caused numerous
livestock deaths in 1878 and was the first scientifically documented case of
cyanobacterial intoxication (Falconer, 2001).
In 1963 in Rugen, Germany, 400 ducks were affected by toxins from N.
spumigena; in 1974–1975, 34 sheep and 52 lambs in South Western and
Western Australia were affected and in 1975 30 dogs became sick and 20
died at the Danish coast of the Baltic Sea. At the Swedish, German and
Finnish coast of the Baltic Sea, nine dogs, 16 young cattle and one dog plus
three puppies, respectively, were affected by toxins from N. spumigena in
1982, 1983 and 1984. In 1990 in Wilhelmshafen, Germany, two dogs
became sick by toxins from N. spumigena and were sacrificed (Duy et al.,
2000).
Lots of Flamingos die-off have been reported in both Europe and Africa.
Over the 1990s, episodic mass mortalities of Lesser Flamingos (Pho-
eniconaias minor) have occurred at Kenya’s Rift Valley saline, alkaline
lakes. Causative agents were three cyanobacterial toxins: microcystin-LR,
microcystin-RR and anatoxin-a. These toxins were present at concentrations
high enough to have caused the bird’s death. The presence of anatoxin-a
was consistent with observations of staggering and convulsions in the fla-
mingos before death and with opisthotonus postmortem (Codd et al., 1999).
In 2001, flamingos mass mortalities in southwest Spain have involved
wild and captive birds; at least 579 of 943 greater flamingo (Phoenicopterus
ruber) chicks died, together with a mixed population of other water birds at
the Doñana National Park lagoon. Microcystins were identified as the likely
cause of this death event in Spain, based on the presence of microcystin-
producing cyanobacteria and microcystins in the water and crop contents,
postmortem examination of livers and the elimination of alternatives (Codd
et al., 2003).
An acute mortality of ten adult captive Chilean flamingos (P. chilensis)
occurred at SeaWorld, Orlando, Florida, USA, in 2001. The P. chilensis
deaths were also attributed to microcystin-LR and microcystin-LA, based
on poisoning signs, postmortem examination of organs, toxin concentrations
in gastrointestinal contents and pond water and elimination of alternatives
(Codd et al., 2003).
Other wildlife species affected by hepatotoxins are white rhinoceros,
skunks and mink, as well as waterfowl, fish and muskrats (Soll and Williams,
1985; Eriksson et al., 1986; Carmichael, 1992; Bury et al., 1997).
A. ZACCARONI AND D. SCARAVELLI
68
4. Neurotoxins
Neurotoxins are alkaloids typical of cyanobacteria, produced by the genera
These toxins are divided in two main classes, anatoxins and saxitoxins.
Being saxitoxins produced also by marine algae, they will be discussed in
the chapter concerning marine algal toxins, and present section will focus
only on anatoxins.
4.1. CHEMICAL STRUCTURE
Among anatoxins, three molecules are known: anatoxins-a, omoanatoxin-a
and anatoxin-a(s), which, despite similar names, are chemically unrelated.
Anatoxin-a is a low molecular alkaloid, a secondary anime,
Omoanatoxin-a is an anatoxin-a homologue, characterized by a pro-
Figure 7. Neurotoxins producing algae (A – Anabaena, B – Planktothrix, C – Aphanizomenon).
Anabaena, Planktothrix and Aphanizomenon (Fig. 7).
(Fig. 8).
2-acetyl-9-azabicyclo(4-2-1)non-2-eme, with a molecular weight of 165 Da
pionyl group at C-2 instead of acetyl group, weighting 179 Da (Fig. 8).
FRESH WATER TOXINS
69
Figure 8. Chemical structure of neurotoxins.
Anatoxin-a was the first cyanotoxin to be chemically and functionally
characterized and is at present well known.
Its ionization state is pH-dependent and exists in the protonated form at
neutral and acidic pH. It is highly soluble in water and is polar, and easily
degraded by sunlight to non-toxic compounds. Omoanatoxin-a presents
similar characteristics.
Anatoxin-a(s) is considered a unique phosphate ester of a cyclic N-
hydroxyguanidine structure, with a molecular weight of 252 Da.
4.2. MECHANISM OF ACTION
Neurotoxins target the neuromuscular system, paralysing peripheral, skeletal
and respiratory muscles with different mechanisms.
Anatoxin-a is a cholinergic agonist binding to nicotinic receptors, causing
a depolarizing neuromuscular blockade (Carmichael et al., 1975; Spivak
et al., 1980; Aronstam and Witkop, 1981; Spivak et al., 1983).
When acetylcholine is released by neurons that impinge on muscle cells,
it binds to postsynaptic receptor. As it attaches to the receptor the Na
+
ion
channel opens, triggering the ionic movement that induces muscle cells to
contract. Soon after the enzyme acetylcholinesterase degrades acetylcholine,
preventing an overstimulation of the muscle cells and allowing the channel
to close and the receptor to get ready to respond to new signals (Fig. 9)
(Carmichael, 1992).
Anatoxin-a binds in an irreversible way to nicotinic acetylcholine re-
ceptor behaving as agonist of acetylcholine, but it can not be degraded by
acetylcholinesterase. Thus the binding induces a permanent opening of Na
+
channels, which causes inflowing of the ion and a continued action potential
generation, overstimulating muscle cells (Fig. 10).
A. ZACCARONI AND D. SCARAVELLI
70
Anatoxin-a(s) is at present one of the few naturally occurring organic
phosphate which acts like synthetic organophosphorous insecticides (OP).
Briefly, the toxin interacts with acetylcholinesterase and blocks the en-
zyme by irreversibly binding to esterasic active site, impeding cleavage and
recycling of acetylcholine (Fig. 11).
Its toxicity to mice is 10 times higher than that of anatoxin-a and about
20 times that of some very potent synthetic OP, i.e. di-isopropyl-fluoro-
phosphate (DFP) (Carmichael et al., 1990).
4.3. SYMPTOMS AND TREATMENT OF TOXICOSES IN HUMANS
No acute intoxication have been reported in humans, because aspect and
odor of waters affected by blooms makes them undesirable for consumption.
A possible way of exposure is through recreational and water-sport use, via
occasional ingestion or inhalation. In these occasions, exposure to suble-
thal amounts can be expected. Following these exposures, recovery appears
to be complete and with no chronic effects following recovery (Kuiper-
Goodman et al., 1999; WHO, 2003).
By interfering with acetylcholine metabolism all neurotoxins induce a
constant opening of sodium channel and a persistent stimulation of post-
synaptic neurons. Consequently symptoms which appears following intoxic-
ation are similar.
Figure 9. Scheme of action of acetylcholine.
FRESH WATER TOXINS
71
Figure 10. Scheme of action of anatoxin-a.
Figure 11. Scheme of mechanism of action of anatoxin-a(s).
A. ZACCARONI AND D. SCARAVELLI
72
Staggering, muscle fasciculation, reduced movement, gasping respi-
ration, bruxism, cyanosis and convulsions appear (Carmichael, 1992; Hunter,
1998; van Apeldoorn et al., 2007).
The distinguishing symptoms between the two group of neurotoxins are:
Rigid neck contracture in birds for anatoxin-a
Intense salivation (from which the “s” of the toxins comes from) and
mucous nasal discharge for anatoxin-a(s).
Symptoms are similar to those observed in OP intoxication, due to the
anticolinesterasic activity.
No specific treatment exists for anatoxin-a intoxication, even if it has
been proved in mice and rats that artificial respiration can help in reco-
vering animals, together with lavage and instillation of activated charcoal
(Carmichael et al., 1975; Beasley et al., 1989).
On the contrary, treatment of anatoxin-a(s) intoxication can be effici-
ently performed by applying the same drugs used for OP intoxication, i.e.
atropine (Mahmood and Carmichael, 1986; Beasley et al., 1989).
4.4. TOXICOSES IN ANIMALS
Animals as livestock have a high probability of getting intoxicated by neuro-
toxins, as they can drink high amounts of contaminated water and gather
scum material in their fur and ingest it through grooming with the tongue.
Anatoxin-a causes death within minutes to a few hours depending on the
species, the amount of toxin ingested, and the amount of food in the stomach.
Clinical signs of poisoning follow a progression of muscle fasciculations,
decreased movement, abdominal breathing, cyanosis, convulsions and death.
In addition, opisthotonus (rigid, “s”-shaped neck) is observed in avian species.
In the wild larger animals collapse and sudden death is observed (Carmichael,
2001).
Documented cases of animal fatalities due to the consumption of water
with anatoxin-a included cattle in Finland and Canada, and dogs in the
USA, New Zealand, Scotland and Ireland. The onset of the symptoms is
very rapid (Chorus and Bartram, 1999; Duy et al., 2000; Hamill, 2001;
Briand et al., 2003; Furey et al., 2003).
Over the 1990s, episodic mass mortalities of Lesser Flamingos (P. minor)
have occurred at Kenya’s Rift Valley saline, alkaline lakes. Analyses of
flamingo carcass livers and cyanobacterial samples from Lakes Bogoria
and Nakuru demonstrated three cyanobacterial toxins in dead flamingo
livers: microcystin-LR and microcystin-RR and anatoxin-a.
Toxins were present at concentrations sufficient alone to have caused
the birds death, that of anatoxin-a being consistent with observations of
FRESH WATER TOXINS
73
staggering and convulsions in the flamingos before death and with opistho-
tonus postmortem (Codd et al., 2003). Further research with materials from
Lake Bogoria Lesser Flamingos has identified also the microcystins and
anatoxin-a in bird stomach, intestine contents and faecal pellets (Krienitz
et al., 2003).
Anatoxin-a(S) was responsible for the death of dogs, pigs and ducks in
the USA (Briand et al., 2003). Animal poisoning due to anatoxin-a(s) was
seen in Denmark (Kaas and Henriksen, 2000).
5. Cylindrospermopsin
Cylindrospermopsin is the only representative of the toxin class of cytotoxin.
It is produced by Cylindrospermopsis raciborskii, a tropical cyanobac-
teria, Anabaena bergii, Aphanizomenon sp., Umezakia natans, Raphidiopsis
cyanobacteria are filamentous organisms closely genetically related. Most
known organism is Cylindrospermopsis raciborskii, who is worldwide
distributed. It has been observed that this blue-green alga is spreading in
cooler areas of the Northen Emisphere; whether this is a result of global
warming or of the distribution of more cold-tolerant strains is not yet
clarified (Padisak, 1997; Lagos et al., 1999; Griffiths and Saker, 2003;
Figure 12. Cylindrospermopsis.
C. raciborskii does not form surface scums, while it forms dense bands
well below the lake surface in clear stratified lakes during summer. Thus it
is not perceived as a danger by reservoir managers. When present in shallow
Falconer, 2005; Gugger et al., 2005) (Fig. 12).
curvata and, for German waters, Aphanizomenon flos-aquae. All of these
A. ZACCARONI AND D. SCARAVELLI
74
mixed lakes, filaments distribute throughout the water column, which assu-
mes a general discoloration. In any case, the toxin content is high, as it leaks
from cells in normal conditions; i.e. in A ovalisporum blooms around 80%
of toxin was in free solution. Thus normal treatment procedure does not
satisfactorily remove the toxins (Shaw et al., 1999; Fabbro and Andersen,
2003; Falconer and Humpage, 2006).
5.1. CHEMICAL STRUCTURE
different epimers, cylindrospermopsin and 7-epicylindrospermopsin, which
are both two naturally occurring and equally toxic. The molecule, because
of its negatively charged sulfatic group and of the positively charged
guanidine group, is highly water soluble (Banker et al., 2001; Looper et al.,
2005; White and Hansen, 2005; Falconer and Humpage, 2006).
An additional, naturally occurring variant is 7-deoxy-cylindrospermopsin,
co-existing with cylindrospermopsin in drinking waters. Its toxicity is still
under evaluation, but it is probably as toxic as cylindrospermopsin (Banker
et al., 2001; Looper et al., 2005; White and Hansen, 2005; Falconer and
Humpage, 2006).
Basic for toxicity seems to be the uracil group: the loss of this group,
indeed, effectively removes toxicity (Banker et al., 2001).
5.2. MECHANISM OF ACTION
Cylindrospermopsin is a general cytotoxin that blocks protein synthesis, and
the first clinical symptoms of poisoning are kidney and liver failure (Chorus
and Bartram, 1999; Carmichael, 2001). By the oral route, cylindrospermopsin
Cylindrospermopsin is an alkaloid containing a tricyclic guanidine combined
with hydroxymethyl uracyl (Fig. 13). The hydroxyl bridge can bring two
Figure 13. Chemical structure of cylindrospermopsins.
FRESH WATER TOXINS
75
can cause gastroenteritis through injury to the gut lining, hepatitis from
injury to liver cells, renal malfunction from cell injury to the kidneys and
haemorrhage from blood vessel injury (Duy et al., 2000).
One of the effects induced by cylindrospermopsin is the activation of
cytochrome P-450 (CYP450), mechanism considered of primary impor-
tance for toxicity.
A study in rat hepatocytes cultures revealed that protein synthesis in-
hibition is rapid and irreversible. Indeed, no synthetic activity was obser-
ved up to 18 hours after suspension of exposure of cells.
This observation lead to consider protein synthesis inhibition unlikely
to be the major toxic insult, as cytochrome P-450 inhibitors that attenuated
cylindrospermopsin toxicity, did not protect against the impairment of
protein synthesis (Froscio et al., 2003).
Further studies had underlined four main steps in the toxic process, all
depending on cytochrome P-450 activation. In the initial phase, ribosomes
detach from the membranes of the rough-surfaced ER and accumulate into
the cytoplasm of hepatocytes. This process is accompanied by condensation
and reduction in the size of nucleoli.
The second phase, which begins 24 h after exposure, is correlated with
membrane proliferation. In this phase the amount of total P-450 is greatly
decreased in hepatic microsomes.
The third phase is characterized by fat droplets accumulation in the
central portion of hepatic lobules, probably induced by free radicals induced
by liver injury.
Finally severe liver necrosis occurs (Duy et al., 2000).
Protein synthesis inhibition affects also glutathione synthesis, which is
under CYP450 control, but this does not lead to an increase in oxidative
stress, thus suggesting that this should not be considered a primary toxicity
mechanism (Runnegar et al., 1995).
CYP450 seems to be important also for genotoxic and carcinogenic effect
associated to toxin exposure.
Indeed, DNA fragmentation observed in a number of in vitro assay sys-
tems seems to require metabolism of the toxin, which is regulated by
CYP450 activity. Indeed, active oxidation operated by CYP450 produces
genotoxic compounds which induce DNA breaking.
In vitro results seems to be confirmed by epidemiological studies: follo-
wing a poisoning which occurred in 1979 affecting a group of children, a
monitoring study began aimed at verifying any increase in cancer incidence.
After more than 20 years of follow-up, a trend toward an increase in
gastrointestinal cancer was observed, even thought results obtained were
not statistically significant, due to the small number of cases followed
(Humpage et al., 2005; Falconer and Humpage, 2006).
A. ZACCARONI AND D. SCARAVELLI
76
5.3. SYMPTOMS AND TREATMENT OF TOXICOSES IN HUMANS
Toxicity symptoms are characterized by hepatitis, renal and intestinal lesions,
vomiting, headache, abdominal pain, hematuria, glycosuria and proteinuria,
constipation followed by bloody diarrhea and electrolytic unbalance (Bourke
et al., 1983).
As for microcystin, treatment is symptomatic and aimed at sustaining
and restoring body functioning. It should be remembered, anyway, that pro-
tein inhibition is irreversible, thus recovery require long, intensive and
specialized hospital cares.
In Australia, in 1979 a cyanobacterial bloom in the drinking water re-
servoir resulted in complaints from the water consumers of bad taste and
odour from the drinking water. Controlling water authorities terminated the
bloom by copper sulphate addition to the reservoir. Shortly after copper
dosing of the reservoir, children were brought into the hospital with an
unusual hepatoenteritis, initially showing acute tender liver enlargement,
constipation, vomiting and headache. This was followed by bloody diarrhea
and loss of protein, electrolytes, glucose and ketones through the urine, with
varying severity of dehydration. Severe cases were flown to the regional
hospital, where they received intensive care with intravenous therapy.
A total of 140 children and 10 adults received hospital treatment. The clini-
cally most serious cases occurred among the Aboriginal population of Palm
Island, off the Queensland coast of Australia in 1979. The intoxication was
firstly named “Palm Island Mystery Disease”, because no aetiological agent
was identified. Further investigations allowed the isolation of cylindro-
spermopsin derived from C. raciborskii, in water, which showed similar
toxicity in animal studies to that in the children reported above (Byth, 1980;
Hawkins et al., 1985; Falconer, 2001; Falconer and Humpage, 2006).
5.4. TOXICOSES IN ANIMALS
In August 1997, a farm dam at McKinlay in northwest Queensland,
Australia, contained an algal bloom which was identified as a monoculture
of C. raciborskii. Cylindrospermopsin was detected in material harvested
from the dam and in a pure culture of an isolate from the bloom. An extract
of this material was lethal to mice 24 h after an i.p injection of 153 mg/kg
bw. On a cattle property near the dam three cows and ten calves died. One
animal showed signs of staggering and weakness before its death. Abdo-
minal and thoracic hemorrhagic effusion, hyperemic mesenteries and pale
and swollen liver were found at necropsy, with nothing abnormal observed
in the brain, lungs, spleen or kidney. Histopathology of the liver from a calf
FRESH WATER TOXINS
77
carcass showed signs similar to the known toxicological effects of cylindro-
spermopsin in mice, i.e. extensive areas of hepatic degeneration and necrosis,
with only isolated areas of intact hepatocytes remaining; deposits of fibrous
tissue were common throughout the liver (Saker et al., 1999; Briand et al.,
2003).
6. Lipopolysaccharides (LPS)
Endotoxic lipopolysaccharides (LPS) are common compounds of the outer
cell walls of cyanobacteria and Gram negative bacteria. They have been
well characterized in Gram-negative, pathogenic bacteria, but their chemi-
cal structure is known for cyanobacteria too.
They consist of lipid A, core polysaccharides and of an outer poly-
saccharide chain. This chain is composed by a great variety of log chain
unsaturated fatty acids and hydroxyl fatty acids and lacks phosphate.
The backbone sugar seems to be glucosamine, presenting variable
amounts of 2-keto 3-deoxyoctonate (KDO), galactoses and heptoses (Martin
LPS cause fever in mammals and are involved in septic shock synd-
rome, which can aggravate toxicant-induced liver injury.
Figure 14. Lipopolysaccharides chemical structure.
et al., 1989) (Fig. 14).
A. ZACCARONI AND D. SCARAVELLI
78
This irritating action is mainly due to the fatty acid component of the
molecule and is achieved by the releasing of inflammatory mediators, i.e.
tumor necrosis-factor Į, interferon-Ȗ, interleukin 1 and 6, leukotrienes, pro-
stanoids, nitric oxide. Antibody production is induced by the O-antigen.
They can also alter the detoxification systems of the organisms by
inhiboting the glutathione S-transferase genes and in fish they induce an
osmotic imbalance by stimulation of water ingestion.
Cyanobacteria LPS are less toxic than those of pathogenic Gram-negative
bacteria, but could be implicated in human health problems encountered as
a result of bathing for example.
7. Bioactive Compounds
Cyanobacteria not only produce toxic compounds which can be lethal to
humans and animals, but are known to produce several other bioactive
compounds, some of which are of medical interest. These molecules have
proved to be active against algae, bacteria, fungi and mammalian cell lines,
thus can potentially have a wide range of applications (Carmichael, 1992).
Cyanobacteria have been found to be a rich source of biomedi-
cally interesting compounds and therefore screening programmes for new
bio-activities are underway (Kashiwagi et al., 1980; Rinehart et al., 1981;
Mason et al., 1982; Patterson et al., 1984; Flores and Wolk, 1986; Cannell
et al., 1988; Gerwick et al., 1989; Schwartz et al., 1990).
Cyanobacteria are known to produce antitumour, antiviral, antibiotic
and antifungal compounds. Of the cyanobacterial extracts screened by a
Hawaiian research group, 0.8 per cent showed solid tumour selective cyto-
toxicity (Moore et al., 1991). Depsipeptides (peptides with an ester linkage)
called cryptophycins isolated from a cyanobacterium, Nostoc sp. strain GSV
224, are promising candidates for an anticancer drug (Trimurtulu et al., 1994).
Recently, several new cyclic or linear peptides and depsipeptides from cya-
nobacteria have been characterised. Some are protease inhibitors, but the
biological activity of the others remains to be characterised (Namikoshi and
Rinehart, 1996). Many of the cyanobacterial bioactive compounds possess
structural similarities to natural products from marine invertebrates.
It has been observed that bioactive compounds discovered in cyano-
bacteria are not duplicate structures of known “natural” drugs, as the rate of
rediscovery in blue-green algae is very low, as compared with that in acti-
nomycete, rating up to 95% (Patterson et al., 1991; Carmichael, 1992).
Chemically, these compounds include acutiphycins, indolcarbazoles,
mirabilene isonitriles, paracyclophanes, scytophycins, tantazoles, tolytoxin,
toyocamycin and tubercidin, which have mainly extracted from freshwater
and terrestrial cyanobacteria (Patterson et al., 1991; Carmichael, 1992).
FRESH WATER TOXINS
79
8. Cyanobacteria as Food Supplements: Problems Related
Cyanobacteria are at present considered as good food supplements, as they
can increment the amount of vital nutrients intake, i.e. amino acids, tace
minerals, omega-3 and -6 fatty acids, ȕ-carotene and vitamins. This supple-
mentation seems to improve memory and attention, increase energy and
immune status and give relief to exhaustion nervousness, depression and
premenstrual syndrome. Blue-green algae extracts are also used in the treat-
ment of Attention Deficit Disorder in children (Dittmann and Wiegand,
2006).
Anyway, such products should be carefully checked, as the species
which are used for their production, i.e. Spirulina and Aphanizomenon, can
be contaminated by toxin producing strains and species, or can themselves
produce the toxins, as has been proved for Spirulina, wich can produce
anatoxin-a (Kozlowsky-Suzuki et al., 2003). Gilroy et al. (2000) showed for
example that 72% of blue-green algae products analysed presented levels of
microcystins higher than safe level fixed by WHO.
Great attention should be paid in using such products, especially in
children, as the risk increases depending on doses and duration of exposure
to contaminating toxins. Children, due to their lower body weight, are ex-
posed to higher amount of toxins/kg b.w., so they are particularly at risk.
Additionally, the established WHO limit for microcystin has been based
on acute testing in animals and does not considers the tumor-promoting
capacities of the toxin. An additional uncertainty factor was included, lead-
ing to a lower guideline value of 0.3 ȝg/l (Kankaanpaa et al., 2002).
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V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 91
TOXICITY OF SEA ALGAL TOXINS TO HUMANS AND ANIMALS
ANNALISA ZACCARONI*, DINO SCARAVELLI
Department of Veterinary Public Health and Animal
Pathology,Veterinary School, University of Bologna
intoxication/year, with an overall mortality of about 1.5%. Human
intoxications are due to consumption of seafood and respiratory exposure to
aerosolized toxins. Algal toxins are also responsible for extensive die-offs
of fish and shellfish, as well as mortality in seabirds, marine mammals and
other animals depending on marine food web. Lots of information are
available concerning acute intoxications, while little is known about
environmental health effects of chronic exposure to low levels of algal
toxins. Toxins are produced by two algal groups, dinoflagellates and
diatoms, representing about 2% of known phytoplankton species (60–80
species out of 3400–4000) and can reach humans directly (via consumption
of shellfish) or through food web transfer to higher trophic levels
(zooplankton and herbivorous fish). Most toxins are neurotoxins and all are
temperature stable, so cooking does not ameliorate toxicity in contaminated
seafoods; five seafood poisoning syndromes exists: paralytic shellfish
diarrhetic shellfish poisoning, and amnesic shellfish poisoning.
Paralytic Shellfish Poisoning (PSP) is caused by the consumption of
molluscan shellfish contaminated with a suite of heterocyclic guanidines
collectively called saxitoxins (STXs), causing almost 2,000 cases of human
poisonings per year, with a 15% mortality rate. In addition to human intoxi-
cations, PSP has been implicated in deaths of birds and humpback whales.
STX elicits its effects by inhibiting sodium channel conductance and
______
*To whom correspondence should be addressed. Annalisa Zaccaroni, Viale Vespucci 2, 47042
Cesenatico (FC), Italy. Email: annalisa.zaccaroni@unibo.it
there-by causing blockade of neuronal activity, mainly at the peripheral
poisoning, neurotoxic shellfish poisoning, ciguatera fish poisoning,
Abstract: Marine algal toxins are responsible of more than 60000
© Springer Science + Business Media B.V. 2008
A. ZACCARONI AND D. SCARAVELLI
92
nervous system level, where its binding results in rapid onset of symptoms
(less than 1 hr) that are classic for PSP: tingling and numbness of the peri-
oral area and extremities, loss of motor control, drowsiness, incoherence, and
in the case of high doses, respiratory paralysis.
Neurotoxic Shellfish Poisoning (NSP) generally results from consumption
of molluscan shellfish contaminated with brevetoxins (PbTx), a suite of
nine structurally related ladderlike polycyclic ether toxins. Brevetoxins bind
with high affinity sodium channel altering the voltage sensitivity of the
channel, resulting in inappropriate opening of the channel under conditions
in which it is normally closed, and inhibiting channel inactivation, resulting
in persistent activation or prolonged channel opening. Symptoms of NSP
include nausea, tingling and numbness of the perioral area, loss of motor
control, and severe muscular ache. NSP has not been documented as a fatal
intoxication in humans. Gymnodinium breve red tides are also frequently
associated with massive fish kills. The extreme sensivity of fish may result
from lysis of cells passing through the gills, with direct transfer of toxin
across the gill epithelium. G. breve was also responsible of a manatees die-
off in Florida concurrent with a persistent red tide. The demonstration of
brevetoxin immunoreactivity in lymphoid tissue of the manatees raises the
possibility of immunosuppression as a second mode by which brevetoxin
exposure may affect human health, particularly in individuals with chronic
exposure to aerosolized toxin during prolonged red tide incidents.
Ciguatera Fish Poisoning (CFP) is another seafood intoxication caused by
ladderlike polyether toxins, primarily attributed to the dinoflagellate,
Gambierdiscus toxicus, which produces a precursors to ciguatoxin which is
biotransformed to ciguatoxins and bioaccumulated in the highest trophic
levels. Large carnivorous fishes associated with coral reefs are a frequent
source of ciguatera. Baracuda, snapper, grouper, and jacks are particularly
notorious for their potential to carry high toxin loads; however, smaller
herbivorous fishes may also be ciguatoxic, particularly when viscera are
consumed. CFP is estimated to affect over 50,000 people annually and is no
longer a disease limited to the tropics because of travel to the tropics and
shipping of tropical fish species to markets elsewhere in the world; out-
breaks are sporadic and unpredictable at others. The symptoms of ciguatera
vary somewhat geographically as well as between individuals and inci-
dents and may also vary temporally within an area, but they generally include
SEA WATER TOXINS
93
early onset (2–6 hr) gastrointestinal disturbance–nausea, vomiting, and
diarrhea–and may be followed by a variety of later onset (18 hr) neurologic
sequelae such as numbness of the perioral area and extremities, reversal of
temperature sensation, muscle and joint aches, headache, itching, tachycardia,
hypertension, blurred vision, and paralysis. Ciguatera on rare occasions can
be fatal. A chronic phase may follow acute intoxication and can persist for
weeks, months, or even years.
Diarrhetic Shellfish Poisoning (DSP) is a comparatively milder seafood
intoxication that consists of rapid onset (3 hr) gastrointestinal symptoms
such as vomiting and diarrhea that generally resolve within 2–3 days. The
diarrhetic shellfish toxins (DTX) are a class of acidic polyether toxins
consisting of at least eight congeners including the parent compound,
okadaic acid. Okadaic acid, DTX-1, and DTX-2 are the primary congeners
involved in shellfish poisoning, with the other congeners believed to be
either precursors or shellfish metabolites of the active toxins. The DTXs are
inhibitors of ser/thr protein phosphatases. Ser/thr protein phosphatases
are critical components of signaling cascades in eukaryotic cells that re-
gulate a diverse array of cellular processes involved in metabolism, ion
balance, neurotransmission, and cell cycle regulation. Diarrhea associated
with DSP is most likely due to the hyperphosphorylation of proteins, in-
cluding ion channels, in the intestinal epithelia, resulting in impaired water
balance and loss of fluids. Okadaic acidlike polyether toxins have been
identified as tumor promotors, thus raising the question of what effect low
levels of chronic exposure to DSP toxins may have on humans as well as
wildlife such as marine turtles.
Amnesic Shellfish Poisoning (ASP) is the only shellfish intoxication
caused by a diatom (Pseudo-nitzschia spp.). The first recorded occurrence
of ASP was in Prince Edward Island, Canada in 1987 when approximately
100 people became ill and several died after consuming contaminated
mussels. The toxic agent involved in the outbreak was identified as domoic
acid. Domoic acid is a water-soluble tricarboxylic amino acid that acts as an
analog of the neurotransmitter glutamate and is a potent glutamate receptor
agonist. The symptoms of ASP include gastrointestinal effects (e.g. nausea,
vomiting, diarrhea) and neurologic effects such as dizziness, disorientation,
lethargy, seizures, and permanent loss of short-term memory. Persistent
activation of the kainate glutamate receptor results in greatly elevated intra-
cellular Ca
2+
through cooperative interactions with N-methyl-d-aspartate
A. ZACCARONI AND D. SCARAVELLI
94
and non-N-methyl-d-aspartate glutamate receptor subtypes followed by
activation of voltage dependent calcium channels. Neurotoxicity due to
domoic acid results from toxic levels of intracellular calcium, which leads to
neuronal cell death and lesions in areas of the brain where glutaminergic
hippocampus, an area responsible for learning and memory processing, are
those causing structural damage. Domoic acid has been identified as the
causative agent in the mass mortality of pelicans and cormorants in Mon-
terey Bay, California, in 1991 and in the extensive die-off of California sea
lions in the same region in 1998. In both instances the vector for toxin
transfer was anchovy.
Pfiesteria Piscicida, a fish-killing dinoflagellate first identified in aquaculture
tanks in North Carolina, has been linked to fish kills in the mid-Atlantic
region of the United States and is characterized by the presence of open,
ulcerative lesions. Pfiesteria has been termed an “ambush predator” because
it is believed to release a toxin that narcotizes or kills fish and then phago-
cytizes the sloughed tissue from its prey. Pfiesteria has been linked to a
human intoxication syndrome, with symptoms that include fatigue, head-
ache, respiratory irritation, skin lesions or burning sensations on contact, dis-
orientation, and memory loss. The toxins responsible for fish lethality or
neurologic symptoms have not yet been identified. There is currently no
evidence that toxicity is transferred through food.
In conclusion we can state that marine algal toxins impact human health
through seafood consumption and respiratory routes. The apparent increase
in their occurrence over the past three decades has raised alarm and lead to
the establishment of algal and toxin monitoring programs which will assist
in providing time series needed to assess interannual and long-term varia-
bility in algal and toxin occurrence.
1. General Characteristics of Producing Organisms
Marine algal toxins are produced by phytoplankton, phytobenthos and bacteri
a,
and are also called phycotoxins.
particularly susceptible. However, memory deficits occur at doses below
pathways are heavily concentrated. The CA1 and CA3 regions of the
Keywords: Algae, toxins, syndromes, treatment
SEA WATER TOXINS
95
Phycotoxins are secondary metabolites produced by dinoflagellates and
diatoms, which present pharmacologically active compounds which can be
harmful to aquatic flora and fauna. Their role is both important for normal
physiology of the cell and for the defense against external environmental
insults, namely predators (Amzil et al., 2001; Quod et al., 2001).
Marine toxins are not dangerous per se, but they became an hazard
when dinoflagellates and diatoms proliferate, under particular environmen-
tal conditions, i.e. eutrophication, and toxins can accumulate along different
steps of trophic chains, particularly mollusks and fish. In these case, the
so called HARMFUL ALGAL BLOOMS (HABs) occur, causing a great
increase in cells and toxins concentrations (Smayda, 1997; van Dolah, 2000).
Phycotoxins have an great and important toxicological role as they
produce a huge number of human illness linked to seafood consumption and
contaminated aerosol inhalation. They are also responsible for massive die-
off of fish, shellfish and marine vertebrates (van Dolah, 2000).
Generally speaking they are responsible for acute intoxications, which
are well known from the toxicological, chemical and etiological point of
view, while little is known concerning chronic exposure to low levels of
toxins (Landsberg, 1996; Burkholder, 1998; Edmunds et al., 1999; Landsberg
et al., 1999).
More than 3000 dinoflagellates and diatoms species are known at pre-
sent, but only 2% of then (about 60–80 species) have proved to be toxic or
harmful. This little group of species, anyway, is responsible for about 60000
human intoxication/year, 1.5% of them fatal. Fatalities are generally linked
to ingestion of saxitoxins, tetrodotoxin and, in rare cases, ciguatera and
domoic acid (Landsberg, 1996; Burkholder, 1998; Edmunds et al., 1999;
Landsberg et al., 1999).
Incidence of HABs has increased in recent years, both in frequency and
and include on one side the increased awareness concerning the issue and
the establishment of monitoring, surveillance and research programs on
toxins. This lead to a faster and more detailed identification of blooms and
toxic episodes (Anderson, 1989; Smayda, 1990; Hallegraeff, 1993).
On the other side, human activities can directly and indirectly contribute
to this expansion. Ballast waters transport or shellfish transplantation can
directly act by easing the transfer of toxic, non indigenous species from side
to the other of the world. Local and regional environmental changes, i.e.
eutrophication and pollution, and/or climate variations at the local or global
scale can indirectly act by inducing algae proliferation, thus increasing
toxins concentrations (van Dolah, 2000)
in geographical distribution (Fig. 1). Causes of this expansion are various,
A. ZACCARONI AND D. SCARAVELLI
96
Figure 1. Time changes in HABs distribution (from van Dolah (2000), modified).
Algal blooms can be classified following various criteria: 1) the kind of
bloom formed; 2) the chemical structure of the toxin; 3) the solubility in
solvents; 4) the syndrome they induce.
SEA WATER TOXINS
97
Starting from the kind of bloom formed, 4 groups have been identified,
which are more or less dangerous to humans and /or animals (Andersen,
1996):
Blooms of species which produce basically harmless water discolor-
ations, with the result that the recreational value of the area decreases
due to low visibility of the water and eventually, under exceptionally
weather conditions in sheltered bays, the blooms can grow so dense that
they cause escape reactions and indiscriminate fish kills and kills of
benthic invertebrates due to oxygen depletion. Species forming this kind
of bloom are Noctiluca scintillans, Ceratium spp, Prorocentrummicans,
Heterocapsa triquetra, Skeletonema costatum, Trichodesmiumeryth-
raeum, Eutreptiella spp., Phaeocystis pouchetii, Emiliania Huxley,
Mesodinium rubrum.
Blooms of species which produce potent toxins which accumulate in
food chains and cause a variety of gastrointestinal and neurological ill-
nesses m humans and other higher animals such as. Alexandrium
tamarense, Alexandrium funndyense, Gymnodinium catenatum, Pyro-
dinium bahamense var. compressum, Dinophysis fortii, Dinophysis
acuminata, Dinophysis acuta, Dinophysis norvegica, Pseudo-nitzschia
multiseries, Pseudo-nitzschia pseudodelicatissima, Pseudo-nitzschia aust-
ralis, Gambierdiscus toxicus, Gymnodinium breve, Anabaena flos-aquae,
Nodularia spumigena can produce these blooms.
Blooms of species which, in most cases are non-toxic to humans but
harmful to fish and invertebrates (especially in intensive aquiculture sys-
tems) e.g. by intoxication, damaging or clogging of the gills or other
means. Examples of producing species: Alexandrium tamarense, Chaeto-
ceros convolutus, Gyrodinium aureolum, Chrysochromulina polylepis,
Prymnesium parvum, Heterosigma akashiwo, Chattonella antiqua, Aureo-
coccus anophagefferens, Phiesteria piscimortuis, Nodularia spumigena.
Blooms of species which produces toxins which are toxic to humans
and which are transported by air in aerosols from the bloom area to the
coast. Gymnodinium breve, Pfiesteria piscicida.
There is no general rule to define harmful concentrations of cells in an
algal bloom, the concentration in a HAB is species specific.
Some algae cause harm at low concentrations, with no discoloration in
the water, e.g. Alexandrium tumarense where PSP toxins are detected in
A. ZACCARONI AND D. SCARAVELLI
98
shellfish at concentrations below 10
3
cells/L, whereas other algae cause
harmful effects when they occur in higher in higher concentrations, with
discoloration of the water as a result, a “red tide”. For example Gyrodinium
aureolum kills fish and benthic animals at concentrations higher than 10
7
cells/L (Andersen, 1996).
Five main classes of toxins have been identified starting from their
chemical structure:
1. Amino acid-like compounds (domoic acid and derivatives)
2. Purine derivatives (saxitoxins and derivatives)
3. Cyclic imines (spirolides, gymnodines and pinnatoxin A)
4. Linear and macrocyclic non-azotated polyethers (okadaic acid, pectene-
toxins, azaspiracid, primnesines)
5. Trasfused polyehters (brevetoxins, yessotoxins, ciguatoxins).
All the toxins can be classified starting from their solubility in water
and organic solvents:
1. Hydrophilic compounds (saxitoxins, domoic acid, tetrodotoxin)
2. Lipophilic compounds (okadaic acid, brevetoxins, ciguatoxins)
Finally, most known classification is that starting from the syndrome
they induce. Starting from this principle 5 different syndromes can be iden-
tified:
1. Diarrhetic Shellfish Poisoning (DSP) is caused by a group of
toxins, represented by okadaic acid, and is characterized by gas-
trointestinal symptoms (nausea, diarrhea, vomiting, abdominal pain)
which following chronic exposure can evolve in digestive system
tumors.
2. Paralytic Shellfish Poisoning (PSP) is caused by saxitoxins and is
characterized by gastrointestinal and neurological symptoms, with nausea,
vomiting, diarrhea, tingling or numbness around lips, gradual and more
and more severe paralysis, respiratory difficulty, death through respiratory
paralysis. It can cause death in humans.
3. Amnesic Shellfish Poisoning (ASP) toxin is domoic acid, and main
sign of this syndrome is loss of short term memory, accompanied by
gastrointestinal and neurological symptoms.
SEA WATER TOXINS
99
4. Neurotoxic Shellfish Poisoning (NSP) toxin is brevetoxin, and typical
signs of toxicity are tingling and numbness of perioral area, loss of motor
control and severe muscular ache. It is also responsible for some irritative
episodes following exposure through contaminated aerosol.
5. One last syndrome is named ciguatera and is due to ciguatoxin. Together
with tetrodotoxin, this is the only toxin transmitted by fish and not
by shellfish. Typical symptoms are diarrhea, abdominal pain, nausea,
vomiting, and lots of neurological signs. It can rarely cause death in
humans.
When describing a syndrome, different toxins can be included as etiolo-
gical agent, and that’s the criteria followed in present chapter; it should be
noted anyway that in some cases these toxins have only chemical similarity
to the main toxin, causing the syndrome, and nay have a different action on
humans and animals. So in the group of diarrheic toxins yessotoxins is in-
cluded, even if its main action is at the neurological level.
Many other toxins have been studied and new ones are discovered in
recent years, ut they are not included in a precise syndrome: tetrodotoxin,
palitoxin, Pfiesteria toxins among the others. These toxins will be described
in next sections.
Lots of studies have been conducted to define ideal conditions for algal
growth and toxin production, but no clear scenario has been identified
(Quod et al., 2001).
One of main question concerning phycotoxins is if they are produced by
algae themselves or by symbiotic bacteria. In some species the production
of toxins seems to be independent of bacteria presence, i.e. in Prorocentrum
lima, producing okadaic acid. Studies conducted on saxitoxins production
lead to no conclusive result, as these toxins have been found in autotrophous
dinoflagellates, fresh water cyanobacteria, macrophytes and some bacteria.
Finally it has been proved that tetrodotoxin is produced by symbiotic bacte-
ria, which can be found in various aquatic and terrestrial organisms (Oshima
et al., 1984; Scheuer, 1996; Shimitzu, 1996; Dantzer and Levin, 1997;
Gallacher and Smith, 1999; Ritchie et al., 2000; Quod et al., 2001).
2. Role of Phycotoxins in Marine Environment
Lots of toxins producing algae contain very potent active principles, showing
specific biological activity, which are thought to have a physiological or
a defensive role. Indeed a certain correlation was observed between the
A. ZACCARONI AND D. SCARAVELLI
100
production of diarrhetic toxin and photosynthetic activity. Finally, a positive
correlation was found between chlorophyll and diarrhetic toxins. An addi-
tional factor in favor of this hypothesis is the fact that almost all species are
strict of facultative photosynthetic organisms. Okadaic acid has been found
to be located into chloroplasts of some dinoflagellates (Zhou and Fritz,
1994; Morton and Tindall, 1995; Wright and Cembella, 1998; Barbier et al.,
1999; Quod et al., 2001).
All these data lead to the hypothesis that at least some phycotoxins can
modulate photosynthesis.
Other toxins are thought to have a physiological role: saxitoxins seem to
be important n chromosome organization, due to their localization close to
the nucleus and paralyzing toxins are thought to act also ad pheromones
(Anderson and Cheng, 1988; Wyatt and Jenkinson, 1997; Cembella, 1998).
Phycotoxins have proved to have some antibacterial and antifungal
activity; these activities are thought to allow dinoflagellates to inhibit growth
of competitors like bacteria and fungi, as well as other algal species deve-
lopment. This inhibitory action was observed in various species of Proro-
centrum, Amphidinium and in Gambierdiscus toxicus (Nagai et al., 1990;
Lewis and Holmes, 1993; Nagai et al., 1993).
A defensive role of phycotoxins against herbivores has also been consi-
dered, acting through the alteration of ionic channel functioning , as shown
with some studies demonstrating a reduction in grazing activity from macro-
and micro- zooplankton.
This inhibiting activity, called allelopathy, has been studied and
observed in vitro against other dinoflagellates or microalgae, even if no real
evidence exist witnessing an allopathic action in the wild (Elbrächter, 1976;
Kayser, 1979; de Jong and Admiraal, 1984; Yasumoto et al., 1987; Gentien
and Arzul, 1990; Scheuer, 1990; Rausch de Traubenberg and Morlaix,
1995; Windust et al., 1996; Paul, 1997; Windust et al., 1997; Wright and
Cembella, 1998; Sugg and Van Dolah, 1999).
The impact of toxins on and their bioaccumulation along food chains
depends on the characteristics of trophic chains themselves and on environ-
mental conditions (Fig. 2).
Thus temperate and tropical ecosystems differ greatly. Indeed, tropical
reduced as, affecting very complex ecosystems. These blooms can form a
mosaic in close areas: so some zones are toxic, and a close one is not. In
these ecosystem fish species, feeding on algae, are responsible for toxicity
waters are generally olygotrophic and blooms which develop are usually
(Bourdeau et al., 2001) (Fig. 3).
SEA WATER TOXINS
101
Figure 2. Blooms formation in coastal areas.
Figure 3. Transfer of phycotoxins along tropical food chains.
In temperate waters, which are more eutrophic, basic step of trophic
chain are filtering organisms, like mussels. Only in some case fish, at dif-
ferent levels of trophic chain, can be directly interested by toxicity and
accumulation of toxins, for direct contact with the poison or by ingestion of
producing algae. These fish species are generally planktophagous species,
living in packs (Bourdeau et al., 2001).
In these areas, phycotoxins can affect all levels of food chains.
A. ZACCARONI AND D. SCARAVELLI
102
It is recognized that harmful algae and their toxins can influence
ecosystems from both the top-down (i.e. affecting predators and influencing
grazing) and from the bottom-up (i.e. affecting plankton and benthic com-
munities). Acute or chronic exposure to HABs and their toxins, either directly
or through the food web, puts these populations at increased risk (White,
1980; White, 1981; Ives, 1985; Geraci et al., 1989; Gosselin et al., 1989).
Figure 4. Accumulation and transfer of phycotoxins along food chain. The example of PSP.
Acute or chronic exposure to HABs and their toxins, either directly or
through the food web, place certain populations at increased risk (Fig. 4).
Microalgal toxins and their chronic effects need to be recognized as major
systems. Long-term effects of biotoxins on the health of aquatic animals
threats to animal health, sustained fisheries, endangered species, and eco-
include increased susceptibility to disease, immunosuppression, abnormal
development, and the induction of tumors. Animals at all trophic levels that
impaired feeding and immune function, avoidance behavior, physiological
dysfunction, reduced growth and reproduction, or pathological effects.
are exposed to biotoxins in the long term through their diet may die or display
SEA WATER TOXINS
103
2.1. ZOOPLANKTON
In many occasions zooplankton can feed on toxic dinoflagellates without
any adverse effect.
When some effect occurs, it is usually a sub-lethal one, like a reduction
in feed consumption. This alteration can be seen as the appearance of an
avoiding behavior, so that some species avoid grazing on toxic dinoflag-
ellates, while others feed on them without any problem.
Other effects observed are regurgitation of food, tachycardia, uncont-
rolled motor activity or reduced motility. Some authors think that long
term exposure to low levels of toxins can induce reduction of growth rate
and motor inhibition, which make copepods more sensible to predation,
also easing accumulation along food chain (White, 1981; Hayashi et al.,
1982; Boyer et al., 1985; Watras et al., 1985; Huntley et al., 1986; Gill and
Harris, 1987; Ives, 1987; Sykes and Huntley, 1987; Uye and Takamatsu,
1990; Anderson and White, 1992).
2.2. FISH SPECIES
Phycotoxins can have a direct effect on fish species, causing larval and
adult massive death. Anyway they can also have some important effect
linked to long term accumulation of the toxins, turning them poisonous for
consumers, being them humans or animals.
A real accumulation of toxins hardly occurs, as the toxicity of phy-
cotoxins to fish is quite high, so in many cases fish die before they can
accumulate discrete amounts of toxins. When accumulation occurs, liver
and digestive tract are main target of accumulation. In the case of paraly-
zing toxins, altered swimming, equilibrium loss and complete immobility
have been observed; if fish survive, recovery is complete (White, 1980;
White, 1984; Carreto et al., 1993).
Being toxins stored in liver and digestive tract, consumption of whole
fish, as happens in Borneo and Philippines, can produce deadly episodes, as
registered in past years (Maclean, 1979; Maclean, 1989).
Many fish species have proved to accumulate toxins in their body:
mackerels, Sardinella sp., Mugil and Sillago; one of the most known
species which are able to accumulate toxins are puffer fish, which can
stock tetrodotoxin in their viscera. Some doubt exist regarding brevetoxins
capacity of accumulate; poisoning episodes in marine mammals seems to
confirm the transfer of brevetoxins via plankton-eating fish (Beales, 1976;
Estudillo and Gonzales, 1984; Bourdeau et al., 2001).
A. ZACCARONI AND D. SCARAVELLI
104
All specie able to accumulate toxins seems to have some adaptation to
the poison; it the case of puffer fish and tetrodotoxin. Indeed, puffer fish
have developed resistance to the toxin by a mutation of proteic sequence of
sodium channel, which is the target of the toxin (Nakamura et al., 1984).
2.3. SEABIRDS
Lots of reports exist regarding seabirds die-off following contaminated fish
eating.
Cormorants, terns, pelicans are among species more frequently affected
by paralyzing toxins and domoic acid. Interestingly, different sensitivity
was observed among species, cormorants being more sensible than others.
In a toxic episode concerning pelicans and cormorants, anchovy, which
were responsible for the transfer of domoic acid to birds, showed no toxic
symptoms, showing how in many cases blooms con be underestimated, if
not correctly monitored (Coulson et al., 1968; Armstrong et al., 1978;
Anderson and White, 1992; Fritz et al., 1992; Anderson, 1994b).
2.4. MARINE MAMMALS
Various episodes, reported since ‘80s, witness for toxicity of phycotoxins to
marine mammals and their transfer along food chains. Whales die-off was
observed in USA following an Alexandrium tamarense bloom, transfer
agent being mackerel who fed on the dinoflagellates and who accumulated
saxitoxins in liver and kidney. Interestingly, no toxin was found in muscle
of contaminated fish. Some concern exist regarding saxitoxins as real causa-
tive agent of the die-off, as the levels found were below the toxic threshold
defined for humans. Anyway, it has been thought that chronic exposure to
lower doses could lead to accumulation of toxic levels (Geraci et al., 1989;
Anderson, 1994a; Anderson. 1994b).
Brevetoxins have been considered responsible for a die-off of dolphin in
USA during 1987–88. Two possible way of absorption have been consi-
dered: 1) intoxication following toxic aerosol inhalation; 2) continuous
absorption of low levels of toxin accumulated by natural preys of dolphins
(menhadens and mackerels). Absorbed doses were considered as non toxic
per se, but they probably caused a defedation of animals, which then experi-
enced bacterial or viral secondary infections (Gerlach, 1989; Anderson and
White, 1992; Van Dolah et al., 2003).
SEA WATER TOXINS
105
The toxin was also responsible for some important die-off of manatees
following Gymnodium breve blooms. Again, contaminated aerosol inhal-
ation or toxin ingestion have been considered as death cause. In a case
reported in 1982, tunicates were considered as transfer organisms, while in
a second case, dating 1996, little or no tunicates were found in gastric con-
tent of manatees (Freitas et al., 1996; Bossart et al., 1998; Landsberg and
Steidinger, 1998).
Domoic acid was responsible of sea lions intoxication in California in
1998, anchovies being the transfer organisms. Anchovies contained the
highest amounts of toxin in their internal organs, while sea lions had highest
levels in faeces (Lefebvre et al., 1999; Scholin et al., 2000).
Not all marine mammals experience accidental or passive intoxication
by phycotoxins. Indeed, it has been observed that sea otter seems to be able
to distinguish between contaminated and non contaminated parts of preys,
as they discard flesh and siphon of contaminated animals. The observation
that sea otters are absent in areas containing saxitoxins at level higher than
toxic threshold seems to confirm this hypothesis (Kvitek et al., 1991;
Patyten, 1999).
3. Diarrhetic Shellfish Poisoning
Diarrhetic toxins include various toxins: dynophisistoxins, whose principal
compound is okadaic acid (OA), which is responsible for the syndrome,
pectenotoxins (PTX) and yessotoxins (YTX).
This group is an example of a set of molecules grouped together because
of their physico-chemical characteristics, even if biological effects are
completely different. Due to these toxicological differences, it is now consi-
dered the possibility of modifying their classification, using toxicological
criteria (Amzil et al., 2001).
DSP is a relatively recent discovered syndrome, but it is considered that
it should exist since long time: gastroenteric symptoms indeed could have
lead to the attribution of the syndrome to bacterial or viral infections, leading
to ad underestimation of its incidence.
Poisoning follows ingestion of mussels containing Dynophisis spp. and
Prorocentrum spp.; it has been observed that very low Dynophisis concent-
rations (50 cells/L) could lead to mussels contamination and toxicity (Kat,
1983; Marcaillou-Le Baut et al., 2001) (Fig. 5).
A. ZACCARONI AND D. SCARAVELLI
106
Figure 5. Diarrhetic toxins producing organisms (A Dynophisis spp. and B Prorocentrum spp).
3.1. CHEMICAL STRUCTURE
3.1.1. Okadaic acid
Some more toxins have been identified, originating from the acylation
of the okadaic acid molecule, leading to the formation of DTX3, named,
acyl-ester. These acyl-esters probably are metabolic derivatives, as they are
only found in mussels’ digestive gland (Hu et al., 1995c; Windust et al.,
1997; Barbier et al., 1999).
Figure 6. Okadaic acid and its derivatives molecular structure.
of OA structure: DTX1 is a methyl derivatives, and DTX2 is an isomer
Okadaic acid is a liposoluble cyclic polyether with a carboxylic function
(Fig. 6). Various derivatives exists of OA, which originate by modification
of OA (Draisci et al., 1996; Quilliam, 1998; Van Egmond et al., 2004).
SEA WATER TOXINS
107
3.1.2. Yessotoxins
These toxins are sulphated polyether compounds; two main molecules have
been identified; yessotoxin and 45-hydroxy-yessotoxin.
YTX is main toxin in Adriatic Sea mussels, other homologues were
identified: homo-YTX, 45-hydroxyhomo-YTX, carboxy-YTX and adriatoxin
(Lee et al., 1989; Ciminiello et al., 1997; Satake et al., 1997a; Satake et al.,
1997b; Ciminiello et al., 1998; Tubaro et al., 1998; Yasumoto and Satake,
Figure 7. Yessotoxins chemical structure.
Figure 8. Chemical structure of pectenotoxins.
3.1.3. Pectenotoxin
Pectenotoxins (PTXs) are a group of cyclic polyether macrolide sharing the
same basic structure. Actually, eight different PTXs (PTX1 to 7 and PTX10)
and two new derivatives of PTX2 (PTX2 seco-acid and 7-epi-PTX2 seco-
acid) have been described and characterized mainly in shellfish. PTX2 is
suspected to be the precursor toxin of the whole PTXs through biotrans-
formation processes which take place in the digestive glands of bivalves
1998; Ciminiello et al., 2000) (Fig. 7).
A. ZACCARONI AND D. SCARAVELLI
108
3.2. MECHANISM OF ACTION
3.2.1. Okadaic acid
Okadaic acid is an inhibitor of protein phosphatases (PP), which induce
dephosphorylation of proteins by protein kinases (PK). The accumulation of
phosphorilated proteins lead to tumor promotion and contraction of smooth
muscles. This last effect is responsible for diarrhea and abdominal pain
which are among principal symptoms (Puiseaux-Dao et al., 2001).
It has been observed that only some PP are inhibitied, namely serine/
threonin PPs 1, 2A, 4, 5 and 6, while it seems that the different confor-
mation of PP 2B and 7 makes them particularly resistant: the binding to
these PP is probably partially obstructed by the catalytic part of the.
For the non-competitive interaction of OA with PP chemical structure
maintenance is mandatory, as loss of carboxyl group, esterification or reduc-
tion to okadaol make the toxin no more toxic enzyme (Bialojan and Takai,
1988; Walter and Mumby, 1993; Honkanen et al., 1994; Takai et al., 1995;
Dawson and Holmes, 1999).
Binding to catalytic unit is reversible, but break of the bound is very
slow.
Hyperphosphorilation induced by okadaic acid occurs in any kind of cell
and targets not only serine and threonin, but also tyrosine. Proteins affected
are those of cytoskeleton, those involved in signal transduction, transcrip-
tion and in gene expression (Afshari, 1994; Sawa et al., 1999; Puiseaux-Dao
et al., 2001).
Okadaic acid can also alter cell morphology, induce apoptosis and cell
death and modify cell physiology: alteration of ions current across membrane,
of glucose balance, of resorption of glucocorticoids receptors, increase in
T3 secretion (Shibata et al., 1982; Hescheler et al., 1988; Haystead et al.,
1989; Ozaki and Haraki, 1989; Mironov and Lux, 1991; Chiavaroli et al.,
1992; Neumann et al., 1993; Wang et al., 1993; Arufe et al., 1999; Galigniana
et al., 1999).
(Lee et al., 1989; Yasumoto et al., 1989; Draisci et al., 1996; Suzuki et al.,
Diarrhea, one of the main symptoms of DSP, is due to hyperphos-
phorilation of intestinal epithelia, with the loss of intestinal structure and of
villi; this expose superior part of intestinal crypt cells and produce an
important loss of water (Edebo et al., 1988; Lange et al., 1990; Yuasa et al.,
1994; Tripuraneni et al., 1997; Puiseaux-Dao et al., 2001).
1998; Suzuki et al., 2001) (Fig. 8).
SEA WATER TOXINS
109
depletion and extra-cellular calcium use. This effect, coupled with cardiac
lesions linked to degeneration of capillary endothelial cells, mitochondria
and swelling of cardiac cells, make these toxins more similar to maitotoxins
than to domoic acid (Aune, 1989; Alfonso et al., 2000; Puiseaux-Dao et al.,
2001).
3.2.3. Pectenotoxin
PTXs do not inhibit protein phosphatases nor induce diarrhea in mammals.
Most toxicological data available on PTXs (both in vivo and
in vitro) have been obtained with PTX1, showing liver damage following
intraperitoneal injection in mice and morphological changes in freshly
prepared hepatocytes. Highest lethality for PTX2 with respect to all other
PTXs further supports the hypothesis of PTX2 as the parental compound of
PTX group. Thus, successive oxidation of substituent in C18 in the dige-
stive glands of bivalves would diminish the toxicity of PTXs. PTX2 has
been proven to induce lethality of brine shrimp (Artemia salina), as well as
cytotoxic activity against several human cell lines, although significant
differences were observed in the relative LC
50
values obtained for each of
them (Terao et al., 1986; Sasaki et al., 1998; Suzuki et al., 1998; Hori et al.,
1999; Eaglesham et al., 2000).
Apoptosis induction by PTXs has also been proved. Primary cultures of
rat and salmon hepatocytes exposed to PTX1 in the micromolar range
showed rapid apoptotic changes, but no further studies concerning apoptotic
activity of PTXs have been carried out in human cells. No additional data
are available on acute and chronic effects of PTXs, and the exact mecha-
nism of action of these toxins is currently unknown.
3.3. SYMPTOMS AND TREATMENT IN HUMANS
3.3.1. Okadaic acid
Symptoms of DSP appear within 4 hours after ingestion of contaminated
mussels and include vomiting, diarrhea, abdominal pain. More rarely neuro-
logical appears.
3.2.2. Yessotoxins
Mechanism of action of these toxins is not known. Toxicological studies
have shown that YTXs do not induce sodium channel activation, while and
increase in intracellular calcium following intra-cytoplasmatic reserves
A. ZACCARONI AND D. SCARAVELLI
110
3.3.3. Pectenotoxins
Pectenotoxins poisoning have been reported in human since 1997. Symp-
toms registered are nausea, vomiting and diarrhea. Treatment of toxicosis is
similar to that of DSP (Marcaillou-Le Baut et al., 2001).
4. Paralytic Shellfish Poisoning (PSP)
This syndrome is caused by saxitoxins (STX), a group of toxins including
about 20 different molecules.
STX was one of the first marine toxins recognized as responsible for
human intoxications, the first report dating up to 1798, even if PSP symp-
toms were attributed to saxitoxins only after 1920.
Saxitoxins are responsible for about 2000 human cases/year, with a
mortality rate ranging from 15 to 50% (van Dolah, 2000; Marcaillou-Le
Baut et al., 2001).
The name of the toxin comes from the mollusk in which it was firstly
identified, Saxidomus giganteus. It is produced by both temperate and tropi-
A B C
Figure 9. Saxitoxins producing organisms A. Alexandrium sp., B. Gymnodium sp C. Pyrodi-
nium sp.
Recovery is complete within 3 days and there seems to be no long term
effect and no deadly episodes (Marcaillou-Le Baut et al., 2001).
3.3.2. Yessotoxins
Yessotoxins have not been associated with human poisoning, but only in
animals (Marcaillou-Le Baut et al., 2001).
(Fig. 9).
cal dinoflagellates of the genera Alexandrium, Gymnodium and Pyrodinium
SEA WATER TOXINS
111
4.1. CHEMICAL STRUCTURE
Saxitoxins are tricyclic, substituted alkali, hydro-soluble, thermo-stable and
saxitoxin and neosaxitoxin, which undergo sulphatation at different sites of
their molecules; the chemical characteristics of these molecules are resumed
in Table 1 (Amzil et al., 2001).
At physiological pH, to functional groups, the 1,2,3- and the 7,8,9-
guanidinic group, present a positive charge, which give the molecules their
water solubility characteristics.
Figure 10. Saxitoxins and neosaxitoxins molecular structure.
Saxitoxins are grouped in 3 classes, based on their toxicity:
N-sulphocarbamoyl derivatives: B1, B2, C1-C4;
Decarbamoyl derivatives (dc-derivatives)
Decarbamoyl derivatives have an intermediate toxicity between car-
bamate (highly toxic) and N-sulphocarbamoyl compounds.
This is one of the few toxins which are produced by both marine and
fresh water (cyanobacteria) organisms, even if no report of intoxication
exists for fresh water sources.
The major transvector for the toxins are bivalve mollusks, even if also
crabs and snails feeding on coral reef seaweeds seem to be able to accu-
mulate them (Fig. 4).
Carbamates derivatives: saxitoxin, neosaxitoxin, GTX1-GTX4;
resistant to acidic environment (Fig. 10). Alkaline pH or oxidizing compounds
can inactivate the toxins, which are all derivatives of two basic molecules,
A. ZACCARONI AND D. SCARAVELLI
112
TABLE 1. Structure of saxitoxins (from Amzil et al. (2001), modified).
R1 R2 R3 R4 Carbamates
toxins
N-sulphocarbamoyl
toxins
Decarbamoyl
toxins
H H H STX B1 dcSTX
H H OSO3 GTX2 C1 dcGTX2
H OSO
3
H GTX3 C2 dcGTX3
OH H H NEO B2(GTX6) dcNEO
OH H OSO3 GTX1 C3 dcGTX1
OH OSO
3
H GTX4 C4 dcGTX4
4.2. MECHANISM OF ACTION
Being polar molecules, STX can not cross blood-brain barrier and thus they
affect peripheral nervous system by targeting voltage-dependent sodium
1993; Gessner et al., 1997; Andrinolo et al., 1999).
Sodium channel is composed by 3 sub-unit, Į, ȕ-1 and ȕ-2, Į sub-unit
presenting most of the functional properties.
Sub-unit Į is composed by 4 repeated domains, numbered I to IV, eah
containing 6 membrane-spanning regions, labeled S1 to S6. S4 is a highly
conserved region acting as voltage sensor. When transmembrane voltage
stimulates S4, it moves towards the extracellular side of the membrane,
opening the channel. Another important part of the channel is the amino
acidic sequence connecting domains III and IV, which is responsible for
channel inactivation (closure) after prolonged activation (West et al., 1992;
Catterall, 2000; Goldin et al., 2000; Yu and Catterall, 2004 ).
Saxitoxins binds to site 1 of the channel, an amino acid sequence nega-
tively charged placed in the external part of the membrane connecting S5
and S6. Specific amino acids have been identified as responsible of the
binding of the toxin to the channel. This binding cause a complete block of
the sodium channel preventing the ions from passing into the neurons. The
block of inward flow of sodium impedes the release of neurotransmitters at
the synaptic level, and this causes paralysis of muscle cells (Evans, 1972;
Catterall et al., 1986; Kao, 1986; Puiseaux-Dao et al., 2001).
A first hypothesis considered the toxin acting like a stopper on the pore.
More recent studies anyway have clarified that there in no direct action on
the pore; the toxin binds to an external site to the channel, close but not
Indeed, these trans-membrane proteins, responsive to membrane potential,
channels, which regulate action potential propagation along neurons (Fig. 11).
control ions movement across the membrane of nervous cells (Hines et al.,
SEA WATER TOXINS
113
Figure 11. Sodium channel functioning.
Figure 12. Saxitoxins mechanism of action of sodium channel.
inside the pore (Fig. 12). The interaction of only part of the toxin molecule
and/or an alteration of the channel structure induced by the toxin are con-
sidered more probable (Puiseaux-Dao et al., 2001).
A. ZACCARONI AND D. SCARAVELLI
114
4.3. SYMPTOMS AND TREATMENT IN HUMANS
PSP, s the oldest known intoxication and one of the most dangerous for
humans, with a high rate of mortality.
Native populations of Canada perfectly knew the existence of the toxin
and prohibited consumption of mussels coming from contaminated areas,
which were considered as a food taboo (Marcaillou-Le Baut et al., 2001).
It is a worldwide distributed poisoning, with cases reported for North
and South America, Europe, Africa and Asia. It is commonly thought that it
is indeed more probable that the toxin or the dinoflagellates have not been
detected or searched for.
Symptoms observed during PSP poisoning are characteristic, easy to
recognized and impossible to be confused with allergy and viral or bacterial
pathologies.
First symptoms appear 5 to 30 minutes after ingestion of mussels and
develop following a precise sequence in few hours. The severity of signs
depends on the dose ingested and on individual sensitivity.
Usually, recovery is complete in few days, even if in more severe
intoxication death can occur following respiratory paralysis. Symptoms
have been classified following the severity of intoxication, and are resumed
in Table 2.
Even if it is a well known toxin, no antidote has been found for its
treatment.
Most efficient treatment is a symptomatic one, including gastric lavage
and active charcoal or alkaline dinks administration, which favor the inacti-
vation of the toxins and their elimination with urine. Indeed, their clearance
via kidney is rapid, close to 24 hours (Hines et al., 1993; Gessner et al.,
1997; Andrinolo et al., 1999).
Forced ventilation is useful in more severe intoxications, when res-
piratory paralysis occurs, as it can counteract paralysis.
4.4. TOXICOSES IN ANIMALS
Saxitoxins have been implicated in a mass mortality episode of humpback
whales which occurred during late 1987-beginning of 1988 in Massa-
chusetts. During an A. tamarense bloom, whales were forced to feed on
mackerels, as their natural preys, sand lance, was largely absent from the
affected area. Mackerels fed on A. tamarense and were found to contain a
mean concentration of 80 ȝg/100 g tissue, which were deadly toxic for
whales. Indeed, short after feeding on fish, humpback whales were found
SEA WATER TOXINS
115
3.2 ȝg/kg b.w., well below toxic threshold defined for humans. Geraci et al.
(1989) consider two possible mechanisms as responsible for apparent higher
sensitivity of cetaceans to saxitoxins: 1) approximately 30% of the whales
body weight is blubber, into which the water-soluble STXs would not
partition, thus being more highly concentrated in metabolically sensitive
tissues; 2) the diving physiology of whales concentrates blood to the heart
and brain and away from those organs required for detoxification, further
concentrating neurotoxins in sensitive tissues (Ridgway and McCormick,
1971; Geraci et al., 1989; Haya et al., 1989; Levin, 1992; Haulena and
Heath, 2001; Van Dolah et al., 2003).
TABLE 2. PSP signs classification.
Severity of intoxication Symptoms
M
il
d
Mouth paresthesia which can expand to the whole face and
neck, to fingers and ears.
Nausea, headache, vomiting
Severe Paresthesia expand to arms and legs. General sensation of
numbness, muscular weakness and floating sensation.
Altered speech, dysarthria, severe ataxia, motory
incoordination.
Some respiratory problem appears.
Extreme Peripheric paralysis, including respiratory paralysis which
can lead to death if not rapidly trated.
Another important episode, which had a great importance also from the
conservation point of view, is the one affecting a monk seal (Monachus
monachus) population in Mauritania during 1997. Close to 70% of the total
population of monk seals died following an A. minutum, G. catenatum and
D. acuta bloom. Affected seals showed lethargy, motor incoordination,
paralysis, symptoms who could be ascribed to STX intoxication. Lungs of
dead animals showed severe respiratory distress and congestion, and viscera
of the animals contained up to 12 ȝg/100 g liver and 3 ȝg/100 g brain of
decarbamoyl saxitoxins. Again, observed levels were below the toxic thre-
shold for humans, but a higher sensitivity should be considered also in this
species (Osterhaus et al., 1997; Hernandez et al., 1998; Osterhaus et al.,
1998; Forcada et al., 1999).
Long term effect of STX were also considered, as toxin presence con
alter the distribution of predator species, as hypothesized for sea otters
(Enhydra lutris).
dead, without any sign of emaciation (blubber was abundant) or starvation
(stomachs contained digested fish). Estimated dos absorbed by whales was
A. ZACCARONI AND D. SCARAVELLI
116
Butter clams can highly accumulate STX in the siphon and can retain it for
more than 1 year, probably as a defensive system against predation.
Sea otters seems capable of distinguish between toxic and non-toxic
thesis was confirmed by a feeding study on caged sea otters. If animals
were fed with contaminated clams, they reduced the rate of consumption
Seabirds were also affected by saxitoxins: Nisbet (1983) reported of a
massive die-off of common terns in Massachusetts which occurred in 1978.
Transfer species was found to be sand-launce, the terns’ principal food.
Interestingly, it was observed that almost all tens that died were pre-laying
females, while all other animals recovered after vomiting. No breeding
alteration was observed, while an apparent age-dependent sensitivity was
observed, as highest mortality was for 3 years-old females.
5. Neurotoxic Shellfish Poisoning
Neurotoxic Shellfish Poisoning is a little common intoxication, which has
not been documented as a fatal intoxication in humans, and results from
consumption of molluscan shellfish contaminated with brevetoxins. Intere-
stingly, intoxications have been observed not only as a consequence of
mussels ingestion, but also after inhalation of contaminated aerosol. Its toxi-
cological importance is more related to massive fish death.
The producing organism is Gymnodium breve, which differs from other
dinoflagellates because it is an unarmored dinoflagellates; the lack of an
Figure 13. Gymnodium breve.
Alaskan populations of sea otters, consuming 20–30% of their body
weight as bivalves, avoid eating butter clams during Alexandrium blooms.
and selectively discarded most of toxic tissues, i.e. siphons and kidney, thus red-
ucing the risk of intoxication (Kvitek and Beitler, 1991; Kvitek et al., (1991).
clams and areas, and feed only on healthy mussels in safe areas. This hypo-
external shell make this microalga easily lysed in turbulent waters (Fig. 13).
The lysis allows the toxin to be released IN water, making aerosol and
droplets potentially toxics (Amzil et al., 2001).
SEA WATER TOXINS
117
5.1. CHEMICAL STRUCTURE
Brevetoxins (PbTX) are liposoluble, ladder-like polycyclic ether toxins,
classified into two types based on their backbone structure: PbTXB and
PbTXA, counting up to 12 different molecules (McFarren et al., 1965; Lin
The two families are composed by molecules counting 10 or 11 cycles.
Some of these compounds are thought to be produced in mussels by
Figure 14. Molecular structure of PbTXA and B.
TABLE 3. Different molecular structure of type A and type B brevetoxins derivative.
Type A R Type B R
B
revetoxins-1 CH
2
C(=CH
2
)CHO Brevetoxins-2 CH
2
C(=CH
2
)CHO
B
revetoxins-7 CH
2
C(=CH
2
)CH
2
OH Brevetoxins-3 CH
2
C(=CH
2
)CH
2
OH
B
revetoxins-10 CH
2
C(CH
3
)CH
2
OH Brevetoxins-9 CH
2
C(CH
3
)CH
2
OH
Brevetoxin-8 CH
2
COCH
2
Cl
et al., 1981) (Fig. 14).
metabolic processes (Table 3).
A. ZACCARONI AND D. SCARAVELLI
118
5.2. MECHANISM OF ACTION
PbTX acts by binding with high affinity to voltage-dependent sodium
channel. Brevetoxins bind to site 5 of the channel (for sodium channel de-
scription see PSP paragraph), altering bio-physic properties of the channel
itself (Bidard et al., 1984; Poli et al., 1986; Lombet et al., 1987; Baden,
1989; Dechraoui et al., 1999; Puiseaux-Dao et al., 2001).
They induce and increase in membrane sodium permeability and a shift
of activation potential toward more negative values.
It has been supposed that this action results from the intercalation of
brevetoxins backbone (whose length is similar to that of membrane lipidic
double layer) between transmembrane domains of nervous and muscular
cells, provoking spontaneous and/or repeated discharges which appears at
very low action potential levels. Discharges are generally followed by a
block of excitation, due to important and prolonged membrane depolari-
zation (Huang et al., 1984; Atchison et al., 1986; Sheridan and Adler, 1989;
Gawley et al., 1995; Jeglitsch et al., 1998).
Hyperexcitation lead to an initial increase in neurotransmitters secretion,
followed by a decrease and an inhibition due to overstimulation, Ca
2+
being
not essential for the release: it has been observed that Na
+
alone can activate
neurotransmitters liberation (Molgo et al., 1990; Molgo et al., 1991; Molgo
et al., 1993; Meunier et al., 1997).
Finally, an increase in cell volume was observed. Two different mecha-
nism have been considered:
6. In mielinic nervous fibers sodium ions entrance alters osmotic balance,
causing water entrance into the cell and swallow of cell itself. A 50%
hyperosmotic external solution can counteract this increase in volume.
7. In motor neurons terminal synaptic vesicles fuse with terminal axon
body, allowing vesicular membrane incorporation after neurotransmitter
release induced by the toxin. Hyperosmotic solutions only partially
counteract this effect (Puiseaux-Dao et al., 2001).
5.3. SYMPTOMS AND TREATMENT IN HUMANS
Two different poisoning have been identified in humans: “indirect” intoxi-
cation by ingestion of contaminated mussels and poisoning for direct contact.
In the first one symptoms are both neurological and gastro-intestinal and
appear within 1–3 hours after mussels ingestion.
SEA WATER TOXINS
119
Neurological syndrome includes paresthesia of area around the mouth,
the face and throat, muscular ache, ataxia, inversion of thermal perception,
bradycardia, midriasis.
Gastro-intestinal syndrome includes abdominal pain, nausea, diarrhea.
Recovery is complete within 24 and 48 hours and no fatality has ever
been recorded.
It has been observed that local anaesthetics, calcium administration and
hyperosmotic solutions are useful in poisoning treatment, as they counteract
brevetoxins action on membrane.
Following direct contact with contaminated aerosol, respiratory tract
inflammation (cough, burning sensation) and conjunctivitis appear (Pierce,
1986; Morris, 1991; Marcaillou-Le Baut et al., 2001).
5.4. TOXICOSES IN ANIMALS
Brevetoxins were considered as responsible agent in many poisoning of
cetaceans, like manatees and bottlenose dolphin but also of sea turtles
(Landsberg and Steidinger, 1998; Van Dolah et al., 2003).
Die-off on manatees have been linked to NSP since 1965 in Florida, but
various episodes have occurred in following years (1982 and 1996) in the
same area. Timing of mortality events coincided with the presence of K
brevis blooms and was often associated with fish and seabirds die-off.
Affected animals showed disorientation, inability to submerge or to
maintain horizontal position, listlessness, flexing of the back, lip flaring and
labored breathing. The only histological lesions observed were cerebral
ones, while no other lesion was observed. The analysis of stomachs content
showed a high amount of seagrasses and filter feeding tunicates; no mea-
surable PbTX levels were found in tunicates (Layne, 1965; O’Shea et al.,
1991).
In 1996 histopathological analysis of tissues showed consistent, severe
congestion of nasopharyngeal tissues, bronchi, lungs, kidney and brain; he-
morrhage of lungs, liver, kidney and brain were observed, whereas gast-
rointestinal tract showed no lesions. The presence of PbTX in lymphocytes
and macrophages of affected tissues support the hypothesis that toxic
effects in manatees is not due to acute neurotoxic effects alone, but rather
may have resulted from chronic inhalation (Bossart et al., 1998).
First report of dolphin die-off due to NSP dates up to 1947, in Florida.
Brevetoxins were also proposed as a causative agent in an unpreceden-
ted mortality of over 740 bottlenose dolphins in 1987 in New Jersey. Most
A. ZACCARONI AND D. SCARAVELLI
120
infections associated with immune suppression (Gunter et al., 1948; Geraci,
1989; Tester et al., 1991; Mase et al., 2000).
Another bottlenose dolphin poisoning occurred in 2000, involving 120
animals, in Florida, coinciding with episodic peak of K. brevis. Stranded
animals were in good physical condition, but histopathological examination
showed significant upper respiratory tract lesions, with lymphoplasmacy-
tic oropharyngitis and tracheitis, as well as lymphoplasmacytic interstitial
pneumonia and lymphoid tissue depletion. PbTX was not found in spleen or
lung, differently from what observed in manatees, whereas it was found in
stomach content and liver. In these two organs PbTX3 was found; consi-
dering that PbTX2 is main product of K. brevis, it is thought that it is meta-
bolized in the fish or that this metabolite is selectively retained by dolphins.
At present no lethal dose for dolphins and marine mammals has been
determined, nor an acute or chronic adverse effect level (Van Dolah et al.,
2003).
6. Amnesic Shellfish Poisoning (ASP)
Amnesic Shellfish Poisoning is a singular intoxication, as it is the only one
not caused by dinoflagellates, but by a diatom, namely Pseudo-nitzschia
pungens, which produce domoic acid. It is one of the deadly poisoning
,
Figure 15. Domoic acid producing Pseudo-nitzschia pungens.
of stranded dolphins showed a wide range of pathological signs, involving
chronic physiological stress, including fibrosis of the liver and lung, adhe-
sion of abdominal and thoracic viscera, and secondary fungal and microbial
even if fatalities are more rare than with STX and tetrodotoxin (Fig. 15).
SEA WATER TOXINS
121
6.1. CHEMICAL STRUCTURE
Domoic acid (DA) is a tricarboxylic amino acid which was firstly isolated
by red alga Chondria armata domoi. Side chain of the molecule contains
Domoic acid is thermo-stable, water soluble and instable in acidic envi-
ronment; it has been shown that temperatures higher than 50°C (cooking
temperatures) can transform domoic acid in epidomoic acid, which is the
Figure 16. Chemical structure of domoic acid and its derivatives.
two ethylenic bounds (Takemoto and Daigo, 1958; Amzil et al., 2001) (Fig. 16).
real responsible, together with isodomoic acid D, E and F, of ASP (Fig. 16).
Anyway, several congeners of DA have been identified (Amzil et al., 2001).
A. ZACCARONI AND D. SCARAVELLI
122
Chemical structure of domoic acid is similar of that of the endogenous
neurotransmitter glutamate and of the excitatory neurotoxin kainic acid; this
similarity is responsible for the mechanism of action of the toxin.
6.2. MECHANISM OF ACTION
Domoic acid acts at the central nervous system level. It is absorbed by
gastrointestinal tract and slowly reaches CNS. As already said, it shares
chemical similarity with glutamate and kainic acid, and its mechanism of
action is based on binding to kainate and Į-amino-3-hydroxy-5-methyl-4-
isoxazole propionic acid (AMPA) subtypes of glutamate receptors, while it
does not interact with N-methyl-D-aspartate (NMDA) receptors (Debonnel
et al., 1989).
Interestingly, the binding affinity of domoic acid to kainate receptor is
higher than that of endogenous agonists (domoic acid>glutamate>AMPA).
Main difference among domoic and kainate acid and glutamate is the
fact that while the action of glutamate rapidly disappears, avoiding over-
stimulation of nervous cells, desensitation of receptors following exogenous
agonist binding is negligible or absent, and when it occurs it is very slowly,
that causing a continuous stimulation of the nervous cells (Puiseaux-Dao
et al., 2001).
The interaction with the receptor lead to the opening of voltage-dependent
calcium channels, allowing entrance of Ca
2+
in the cell, as well as of other
ions, i.e. Na
+
.
The toxic effect resulting from this influx is at first an increase in ner-
vous cells excitation. This effect is due to the disinhibition of some neural
circuits, as domoic acid can inhibit GABA (inhibiting mediator) liberation
in hippocampal areas through the activation of protein kinase (PK) C.
Subsequently, high levels of calcium cause cell death and lesion in various
cerebral areas, especially in areas where glutaminergic pathways are heavily
concentrated. These receptors are preferentially distributed in CA1 and CA3
areas of hippocampus, which are responsible for learning and memory.
These lesions can be responsible of main effect of domoic acid, complete
and permanent loss of short-term memory. Anyway, it has been observed tat
memory deficits occur at levels well below those causing structural damage
(Cunha et al., 2000; Quintela et al., 2000; Puiseaux-Dao et al., 2001).
In vivo and in vitro studies have shown that DA activates AMPA/kainate
receptors in striatum system, which cause release of excitatory amino acids
activating NMDA receptors, finally leading to cell death (Larm et al., 1997;
Puiseaux-Dao et al., 2001).
SEA WATER TOXINS
123
6.3. SYMPTOMS AND TREATMENT IN HUMANS
Diatoms were recognized as causative agents of ASP only in recent times,
as they were not considered as an hazard for human health.
In 1987, over 100 people showed poisoning sings which could not be
ascribed to any of known syndromes. Following researches made it possible
to identify DA as active principle and P. pungens as producing organism.
Interestingly, both two were already known, as domoic acid was used in
Japan as vermifuge and the diatom was known, but no correlation among
the two was ever seen before.
Poisoning symptoms appears rapidly, from 15 minute to 38 hours from
mussels ingestion. After close to two days, some neurological alteration
appears, presenting a different degree of severity.
Symptoms include gastrointestinal signs, e.g. nausea (77% of cases),
vomiting (76%), diarrhea (42%), abdominal pain (51%), and neurological
signs: dizziness, disorientation, lethargy, seizures, permanent loss of short-
term memory.
Recovery occurs in a period ranging from one day to 4 months.
In 1987 outbreak, 4 out of the 100 people affected died after seizures
appeared.
The analysis of brain of dead people revealed necrotic lesions and/or
neuronal loss mainly at the hippocampal and amigdala areas, confirming the
toxic effect of DA.
At present, no antidote exist for the treatment of poisoning, and all cares
are symptomatic (Marcaillou-Le Baut et al., 2001).
6.4. TOXICOSES IN ANIMALS
Domoic acid has been identified as causative agent in pelicans and cor-
morants mass mortality in California in 1991 and in various and extensive
die-offs of sea lions in the same region in 1998, 2000, 2006 and 2007.
Affected birds exhibited neurological symptoms similar to those reported
in experimental animals, i.e. scratching and head weaving. In all instances
the vector for toxins transfer was anchovy, but the toxin producing organism
was a different member of Pseuda-nitzschia genus. At present, more than
seven species are recognized as domoic acid producers (Work et al., 1993).
The first confirmed domoic acid poisoning in marine mammals occurred
in sea lions in California in 1998. All animals were in good nutritional
condition and displayed clinical symptoms, predominantly neurological:
head weaving, scratching, tremors and convulsions. Affected animals were
mainly adult females, 50% of them pregnant. Abortion was observed and
A. ZACCARONI AND D. SCARAVELLI
124
urine and feces. Sea lions which died within 24 hours of stranding presented
histologic lesions of brain, mainly neuronal necrosis, more severe in hip-
pocampus and dentate gyrus. Heart was also affected, presenting myofiber
necrosis and edema. Another similar episode occurred in 2000. In the same
area and the same periods a die-off of sea otters was observed as well
(Lefebvre et al., 1999; Gulland, 2000; Scholin et al., 2000; Bargu et al.,
2002; Silvagni et al., 2005; California Wildlife Center, 2006).
Exposure to domoic acid has been proved also for whales, even if no
clear toxic event was reported in these species. Lefebvre et al., 2002) found
domoic acid in faeces and food (krill, anchovies and sardines) of whales.
7. Ciguatera Fish Poisoning (CFP)
Ciguatera Fish Poisoning is a well known poisoning linked to fish con-
sumption, which was firstly described in 1555 by sailors in Caribbean areas.
In 1866 Poey defined this intoxication “ciguatera” from the Cuban common
name of a mussel known to cause the intoxication, “cigua” (Marcaillou-Le
Baut et al., 2001; Puiseaux-Dao et al., 2001).
At present, the term ciguatera is used to describe both the poisoning and
the phenomena affecting marine environment and leading to the poisoning
itself, namely coral reef degradation.
ciguatoxins, namely maitotoxins (MTX), which anyway have never been
linked to toxic episodes in humans. Like ciguatoxins, maitotoxins are pro-
duced by G. toxicus.
Figure 17. Gambierdiscus toxicus.
some pups born during the episode died. Highest levels of DA was found in
Producing organism was found to be Gambierdiscus toxicus which pro-
duce ciguatoxins (CTX) (Fig. 17). Other toxins are included in the group of
SEA WATER TOXINS
125
7.1. CHEMICAL STRUCTURE
7.1.1. Ciguatoxins
Ciguatoxins are highly stable toxins, as cooking, freezing and salting do not
The study of molecular structure of the toxins lead to the identification
of two different toxins, one from the Pacific area (P-CTX1) and one from
the Caribbean (C-CTX1), which differ for the number of C in the mole-
cules (60 in P-CTX1 and 62 in C-CTX1) and stability in acidic environ-
ment: P-CTX1 is acid labile, while C-CTX1 is stable in acidic pH (Vernoux,
Both two groups of toxins belong to polycyclic polyethers.
Figure 18. Molecular structure of CTXs: a) P-CTX; b) P-CTX3; c) C-CTX.
reduce their toxicity. They are soluble in organic polar solvents and in
1988) (Table 4).
a)
b)
c)
water (Fig. 18).
A. ZACCARONI AND D. SCARAVELLI
126
TABLE 4. Comparison of some characteristics of CTXs.
C-CTX PCTX
V
ector fish Caranx latus Gymnothorax javanicus
M
olecular formula C62H92O19 C60H86O19
LD50 3,6 ȝg/kg 0,35 ȝg/kg
N
umber of cyclic ethers 14 13
Terminal cycle C56 hemyacetal
C52 spiroacetal
These polyethers are chemically little reactive, and it has been found
that side chains not involved in cycles formation are the reactive part of the
molecules. A reduction in toxicity has been observed following chemical
binding of hydroxyl function with various compounds or the formation of
double bonds (Yasumoto and Oshima, 1979).
Among Pacific toxins, 9 different structure have been found, while 2
only have been identified for Caribbean group.
These 11 toxins are grouped in 3 types, and it has been found that some
of them are conformation epimers at the spyro-acetalic or hemiacetalic asym-
TABLE 5. Known chemical structure of CTXs divided by type.
Type Toxins with known structure
I P-CTX1
P-CTX2 and P-CTX3 C52 epimers
P-CTX4A and P-CTX4B C52 epimers
II P-CTX3c and P-CTX3B C49 epimers
P-CTX2A1
51 hydroxy-CTX3C
III C-CTX1 and C-CTX2
C56 epimers
One probable explanation for this huge variability in structural charac-
teristics is metabolism: the accumulation along one or more steps of food
chains of “basic” toxins make them experience some biotransformation
which oxidize the molecule and make it more polar. Although metabolism
is conceived to reduce toxicity, it has been seen that oxidized ciguatoxins
are more toxic than parent compounds (Puiseaux-Dao et al., 2001).
7.1.2. Maitotoxins
Maitotoxins are another group of toxins produced by G. toxicus which have
never been associated to CFP, as they have never been isolated in flesh
metric carbon (Table 5).
SEA WATER TOXINS
127
of fish, but only in viscera of herbivorous fish (Yasumoto et al., 1976;
Yasumoto et al., 1984).
They are highly hygroscopic polycyclic polyethers, characterized by the
Despite molecular similarity with CTXs, their effects are different and
no spontaneous or chemical transformation produced CTXs starting from
MTXs (Puiseaux-Dao et al., 2001).
Figure 19. Chemical structure of maitotoxins.
7.2. MECHANISM OF ACTION
7.2.1. Ciguatoxins
Ciguatoxins share their mechanism of action with brevetoxins, because they
bind to site 5 of voltage-dependent sodium channels. They activate the
sodium channel, alter the selectivity of the channel for Na
+
, delay or block
channel inactivation and activate the channel at more negative membrane
potential. This last action persistently increases membrane permeability to
sodium.
All the aspects of mechanism of action have already been described in
brevetoxins section.
7.2.2. Maitotoxins
Maitotoxins can not cross cell membrane and act by hydrolyzing membrane
phosphoinositides and phospholipids, inducing calcium influx and the con-
sequent increase in Ca
2+
cytosolic concentration, and depolarizing all neural
absence of 2 sulphated groups (Fig. 19).
A. ZACCARONI AND D. SCARAVELLI
128
and neuroendocrine membranes, causing an increase in neurotransmitters
and hormones Ca-dependant liberation.
Phosphoinositides and phospholipids hydrolysis has proved to be de-
pendant on extracellular calcium and is catalyzed by phospholipase C at
high doses and by phospholipase A at low doses (Sladeczek et al., 1988;
Gusovsky et al., 1989; Choi et al., 1990; Gusovsky and Daly, 1990; Lin
et al., 1990; Meucci et al., 1992; Bressler et al., 1994).
7.3. SYMPTOMS AND TREATMENT IN HUMANS
7.3.1. Ciguatoxins
CFP is characterized by a sequence/association of neurological, gastroin-
testinal and cardio-vascular symptoms, presenting a high variability. Some
occasional fatalities have been observed, following severe intoxications.
Although it can affect all ages, a certain, higher sensitivity seems to exist
for the age range 30–49, interestingly, some occasional episode of toxin trans-
fer through breast feeding was observed (Marcaillou-Le Baut et al., 2001).
In “classical” syndrome incubation lasts from 3 to 8 hours, even if in
severe poisoning the delay time is 1 hour and in mild intoxication it can
reach 12–20 hours (Bagnis, 1967; Bagnis et al., 1979).
The prodromic phase of ciguatera lasts about 2 hours and is characterized
by gastrointestinal alterations involving face congestion, headache, salivation,
and by neural symptoms: numbness of face, tongue and extremities (Pearce
et al., 1983).
In the second phase, digestive symptoms are predominating, while
neurological and, only in more severe cases, cardiac signs are only occasional
(Bourdeau and Bagnis, 1989).
Gastroenteric signs are more intense than in starting phase, precocious
and constant and include:
Abdominal pain
Vomiting
Diarrhea.
Neurological signs are progressive and include:
Tingling
Burning or electric discharge sensation
SEA WATER TOXINS
129
Pruritus. This is another frequent and typical sign. It is a tardive sign,
starting from extremities and diffusing to the all body, which is quite
persistent and can also become permanent. A certain increase in the
disturb has been observed at night, causing insomnia in affected people
(Bourdeau and Bagnis, 1989).
Interestingly, pruritus can last for weeks after the poisoning has solved,
and can be re-evoked by fish consumption (Bourdeau and Bagnis, 1989).
Some more occasional neurological signs can be recorded:
Mydriasis or strabismus
Paresis or ataxia of legs
Articular and muscular pain.
These signs too can be re-induced even years after the poisoning by
consumption of reef fish.
Finally, vertigos, teeth pain and cutaneous rashes have been recorded
(Marcaillou-Le Baut et al., 2001).
Cardiovascular signs are recorded only in severe intoxication and include:
Irregular heart beats
Bradycardia
Complete alteration of cardiac regulation.
As a general rule, gastroenteric and cardiovascular signs solve in a few
days, while neurological signs last for weeks or more.
respiratory failure or collapse (Marcaillou-Le Baut et al., 2001).
There seems to be a different trend in clinical symptoms between males
and females, males showing more frequently gastro-intestinal signs and
females muscular pain (Bagnis et al., 1979).
There is also a different profile in symptoms presentation between
Pacific and Caribbean toxins, P-CTX being more neurological and C-CTX
more gastroenteric.
Thermal sensation inversion, which is an indicative, even if not specific,
sign of the intoxication.
CFP has a very low mortality rate (0,1–4,5 %) and death occurs after
A. ZACCARONI AND D. SCARAVELLI
130
A certain spontaneous detoxification has been observed in humans, but
it is assumed to take long time, even if it has never been estimated. This can
easily lead to accumulation phenomena in humans, and continuous con-
sumption of little toxic fish can thus induce poisoning, similarly to consump-
tion of one single, highly toxic fish (Lawrence et al., 1980; Chan, 1998).
Diagnostic of intoxication is based on clinical signs and on epidemio-
logical data as well as on information obtained from the patient (recent fish
consumption, species eaten, etc.) and on exclusion of other pathologies, i.e.
bacterial and viral infections, other toxins, allergies (Marcaillou-Le Baut
et al., 2001).
The treatment is symptomatic and includes:
Gastroenterical symptoms
Spasmolitics
Anti-diarrhoic drugs
Anti emetics
Gastric lavage
Neurological symptoms
Calcium gluconate
Vitamin B
Cardiovascular signs
Atropine
Cardiovascular analeptics
Pruritus
Corticoids
Anti histaminic drugs.
treatment of poisoning, the most rapidly it is administered the best the
effect. It probably acts by counteracting neuronal edema induced by Na
entrance in neurons, followed by water influx in the cell (Palafox et al., 1998).
Mannitol has proved to have some efficacy against nervous signs in the
7.3.2. Maitotoxins
Maitotoxins poisoning is characterized mainly by neurological symptoms,
including, in order of importance:
SEA WATER TOXINS
131
Altered thermal perception
Muscular pain
Pruritus
Urinary problems
Articular pain
Increased transpiration.
Gastrointestinal signs are quite rare (Marcaillou-Le Baut et al., 2001).
7.4. TOXICOSES IN ANIMALS
Evidence of the involvement on CTX in the morbidity and/or mortality of
marine mammals remains speculative.
One interesting case is that concerning decline in population of monk
seal in Hawaii. Population decline occurred has been primarily attributed to
the poor survival rates among juveniles and pups and to slower growth rate
of juvenile. It is yet unclear which are the reasons of this mortality rate, but
it has been hypothized that ciguatera could play a role.
Indeed, preliminary survey of known prey fish species showed some
positivity to the toxin; anyway no clear connection between CTX presence
and population decline (Craig and Ragen, 1999; Van Dolah et al., 2003).
8. Tetrodotoxin
Consumption of fish contaminated by tetrodotoxin (TTX) or its derivatives
is responsible for one of the most severe intoxication, as close to 60% of
affected people die within 4 to 6 hours after ingestion.
Recent researches have provided strong evidence of the bacteriological
origins of TTX:
Puffer fish grown in culture do not produce tetrodotoxin until they are
fed tissues from a toxin producing fish.
The blue-ringed octopus found in Australian waters accumulates tetro-
dotoxin in a special salivary gland and infuses its prey with toxin by
bite. This octopus contains tetrodotoxin-producing bacteria.
Xanthid crabs collected from the same waters contain tetrodotoxin and
paralytic shellfish toxin.
A. ZACCARONI AND D. SCARAVELLI
132
It is now clear that marine bacteria have long been in mutualistic sym-
biosis with marine animals and it is now known that the related toxins tetro-
dotoxin and anhydrotetrodotoxin are synthesized by several bacterial species,
including strains of the family Vibrionaceae, Pseudomonas sp., and Photo-
bacterium phosphoreum. Puffer fish took advantage of a single point
mutation in their sodium channel receptors which rendered these fish
immune from the effects of TTX. Following herbivores grazing, marine
invertebrates and vertebrates accumulate these bacteria, provide them with a
suitable host environment, and in return receive the protection of marine
biotoxins, compliments of the prokaryotes (Johnson, 2002).
8.1. CHEMICAL STRUCTURE
TTX is a positively charged guanidinium group and a pyrimidine ring with
additional fused ring systems, which contain hydroxyl groups which must
certainly help stabilize the TTX-sodium channel binding complex at the
Figure 20. Chemical structure of TTX.
8.2. MECHANISM OF ACTION
TTX is an especially potent neurotoxin, specifically blocking voltage-gated
sodium channels on the surface of nerve membranes. The TTX-Na Channel
binding site is extremely tight (K
d
= 10
–10
nM). It is proposed that this
binding results from the interaction of the positively charged guanidino
group on the tetrodotoxin and negatively charged carboxylate groups on
side chains in the mouth of the channel. TTX mimics the hydrated sodium
cation, enters the mouth of the Na
+
-channel peptide complex, binds to a
peptide glutamate side group, among others, and then further tightens it
aqueous interface (Johnson, 2002) (Fig. 20).
SEA WATER TOXINS
133
hold when the peptide changes conformation in the second half of the
binding event. Following complex conformational changes, TTX is further
electrostatically attached to the opening of the Na
+
gate channel (2d event
occurs in vivo as the dehydration of the aqueo-sodium complex).
TTX’s tenacious hold on the Na
+
-channel complex is further demon-
strated by the occupancy time of TTX v. hydrated-Na
+
at the complex.
Hydrated sodium reversibly binds on a nanosecond time-scale, whereas
TTX binds and remains on the order of tens of seconds. With the bulk of the
TTX molecule denying sodium the opportunity to enter the channel, sodium
movement is effectively shut down, and the action potential along the nerve
membrane ceases. A single milligram or less of TTX is enough to kill an
adult.
It has been proved that TTX does it not poison the host as the sodium
ion channel in the host is different than that of the victim and is not sus-
ceptible to the toxin. Indeed it has been demonstrated for one of the puffer
fish that the protein of the sodium ion channel has undergone a mutation
that changes the amino acid sequence making the channel insensitive to
tetrodotoxin. The spontaneous mutation that caused this structural change
is beneficial to the puffer fish because it allowed it to incorporate the
symbiotic bacteria and utilize the toxin it produces to its best advantage. A
single point mutation in the amino acid sequence of the sodium-ion channel
in this species renders it immune from being bound and blockaded by TTX
(Johnson, 2002).
8.3. SYMPTOMS AND TREATMENT IN HUMANS
The first symptom of intoxication is a slight numbness of the lips and
tongue, appearing between 20 minutes to three hours after eating poisonous
pufferfish. The next symptom is increasing paraesthesia in the face and
extremities, which may be followed by sensations of lightness or floating.
Headache, epigastric pain, nausea, diarrhea, and/or vomiting may occur.
Occasionally, some reeling or difficulty in walking may occur. The second
stage of the intoxication is increasing paralysis. Many victims are unable to
move; even sitting may be difficult. There is increasing respiratory distress.
Speech is affected, and the victim usually exhibits dyspnea, cyanosis, and
hypotension. Paralysis increases and convulsions, mental impairment, and
cardiac arrhythmia may occur. The victim, although completely paralyzed,
may be conscious and in some cases completely lucid until shortly before
death. Death usually occurs within 4 to 6 hours, with a known range of
about 20 minutes to 8 hours.
A. ZACCARONI AND D. SCARAVELLI
134
From 1974 through 1983 there were 646 reported cases of fugu (pufferfish)
poisoning in Japan, with 179 fatalities. Estimates as high as 200 cases per
year with mortality approaching 50% have been reported. Only a few cases
have been reported in the United States, and outbreaks in countries outside
the Indo-Pacific area are rare. Sushi chefs who wish to prepare fugu,
considered a delicacy by many in Japan, must be licensed by the Japanese
government.
The comparative toxicity of TTX is summarized by William H. Light.
“Weight-for-weight, tetrodotoxin is ten times as deadly as the venom of the
many-banded krait of Southeast Asia. It is 10 to 100 times as lethal as black
widow spider venom (depending upon the species) when administered to
mice, and more than 10,000 times deadlier than cyanide. It has the same
toxicity as saxitoxin which causes paralytic shellfish poisoning A recently
discovered, naturally occurring congener of tetrodotoxin has proven to be
four to five times as potent as TTX. Except for a few bacterial protein
toxins, only palytoxin, a bizarre molecule isolated from certain zoan-
thideans (small, colonial, marine organisms resembling sea anemones) of
the genus Palythoa, and maitotoxin, found in certain fishes associated with
ciguatera poisoning, are known to be significantly more toxic than TTX. Paly-
toxin and maitotoxin have potencies nearly 100 times that of TTX and Saxi-
toxin, and all four toxins are unusual in being non-proteins. Interestingly,
there is also some evidence for a bacterial biogenesis of saxitoxin, palytoxin,
and maitotoxin....[i]n living animals the toxin acts primarily on myelinated
(sheathed) peripheral nerves and does not appear to cross the blood-brain
barrier” (Johnson, 2002).
9. Pfiesteria and Estuary-Associated Syndrome
Possible estuary-associated syndrome (PEAS) is known to occur in brackish
coastal waters along the mid-Atlantic coast of the U.S. and has been
reported in a few scattered locations worldwide as well. This syndrome
Pfiesteria cultures.
seems to be associated to Pfiesteria and Pseudopfiesteria exposure (Fig. 21),
even if no clear connection between algae and syndrome have been found
yet (Duncan et al., 2005).
At present the toxins responsible for fish lethality or neurologic sym-
ptoms has not yet been identified. Anyway, Moeller et al., 2001 have iso-
lated and partially purified water soluble toxins contained in water from toxic
SEA WATER TOXINS
135
Figure 21. Pfiesteria piscicida.
As well as for the toxins chemical structure, the exact mechanism of
action of Pfiesteria has not been identified.
Exposure to Pfiesteria toxins in the air, water, or fish at the site of an
outbreak can cause skin and eye irritation as well as short-term memory
loss, confusion, and other cognitive impairments in people. No toxic activity
has been detected in shellfish harvested from sites of Pfiesteria blooms.
The reported human health effects (e.g. respiratory irritation, skin
rashes, and possible neurocognitive disorders) from exposure to natural
waters in the mid-Atlantic states are still being assessed. Illness from con-
suming shellfish and fish in areas of Pfiesteria and Pseudopfiesteria oc-
currence are unknown.
Pfiesteria and Pseudopfiesteria are associated with fish kills in mid-
Atlantic states. Recent studies suggest that fish kills are due to: 1) motile
cells attaching to fish and feeding on fish skin cells which could allow
invasion of pathogens or weaken the animal’s immunity; and/or 2) un-
described, water-soluble and lipid-soluble bioactive fractions being released
to the environment. There are published studies purporting different causes
and different pathways.
Interestingly, in the laboratory, toxicity of water in an aquarium is
rapidly lost within a day if the fish that were provided as food are removed.
Pfiesteria piscicida has a very complex life cycle, and at certain stages
of this cycle has a lethal toxic effect on fish, as demonstrated by massive
fish kills in North Carolina estuaries and in the Chesapeake Bay (Birkhauser
et al., 1975; Ashton et al., 1977; Andersen et al., 1993; Burkholder et al.,
2001a; Samet et al., 2001). The organism’s polymorphic life cycle (Figure 22)
consists of three distinct life-form stages—flagellated, amoeboid, and
encysted—that live in bottom sediment s or as free-swimming organisms in
A. ZACCARONI AND D. SCARAVELLI
136
the water column. These stages involve at least 24 size, shape and morp-
hotypic variants, ranging from 5 to 450 ȝm in size. The stages include rhizo-
podial, filose and lobose amoebae; toxic and non-toxic zoospores (asexual
flagellated spore); cysts of various structure; and gametes (mature sexual
reproductive cells having a single set of unpaired chromosomes). Under
laboratory conditions in the presence of live fish, its sediment-dwelling
amoeboid and resting stages transform rapidly into free-swimming
flagellate stages in response to unknown chemical cues secreted or excreted
by fish. The induced (excysted) flagellate stages swarm into the water
column and become toxic during their continued exposure to the fishderived
(sometimes shellfish-derived) chemical stimulants.
The toxic zoospores gather together, alter their random swimming pattern
into directed movement, doubling their swimming speed in the process, and
commence predatory behavior directed toward targeted fish. The toxic
zoospores produce a neurotoxin of unknown structure, soluble in water, and
which may be liberated as an aerosol under some conditions. Fish are first
narcotized by the toxin, die suddenly, and slough off tissues, which the
attacking zoospores consume by sucking out the cell contents through the
attached peduncle. The zoospores sometimes ingest other microscopic plant
and animal prey at the same time. During this killing period, the zoospores
reproduce both asexually (mitotic division) and by producing gametes that
fuse to produce toxic planozygotes (actively swimming offspring formed by
sexual reproduction, i.e. the union of two gametes). The presence of live
fish is required both for completion of the sexual cycle and for toxin
induction. Upon fish death or their retreat, the toxic zoospores and plano-
zygotes transform into (mostly) nontoxic amoeboid stages that gather onto
the floating fish carcasses on which they feed for extended periods, and
follow the sinking fish remains to the bottom sediments. Not all toxic
zoospores and planozygotes transform into amoebae. Some encyst and sink
into bottom sediments; a lesser number revert to non-toxic zoospores that
remain in the water column. The proposed 24 stages of the complex life
cycle are based on laboratory observation (Samet et al., 2001).
It has been observed that the morbidity of Pfiesteria is dependent on
food availability: Pfiesteria blooms were stimulated by inorganic nutrient
enrichment (Burkholder et al., 1992; Glasgow et al., 1995; Burkholder
et al., 2001b), and transition to a toxic stage was associated with the presence
of fish tissues or secretions (Burkholder and Glasgow, 1997; Marshall et al.,
2000). The fish appeared narcotized, displaying lethargic behavior, a poor
fright response, lesions, hemorrhage, and ultimately death. Water samples
SEA WATER TOXINS
137
indicated that P. piscicida was present at concentrations ranging from
600–35,000 cells/ml in waters ranging in temperature from 9–31°C and in
salinity from 0–30 psu during fish kills. Much lower concentrations of
P. piscicida were found only hours after fish kills due to P. piscicida’s
encystment following lack of food (due to fish death) and settlement into
sediment (Burkholder et al., 1992).
Figure 22. Pfiesteria piscicida life cycle. The pathways indicate the presence (+) versus the
absence (–) of live finfish; AL = presence of cryptomonads and certain other algal prey; N =
nutrient enrichment as organic and/or inorganic N and P; S = environmental stressor such
as sudden shift in temperature or salinity, physical disturbance, or prey depletion. Dashed
lines = hypothesized pathways. Stages have been conservatively numbered to facilitate
description. TOX-B: zoospores temporarily non-toxic in the absence of live fish prey; TOX-
A: zoospores which produce toxin when sufficient live fish are added. Zoospores can
transform to filose and lobose amoebae. Planozygotes can transform to larger filose and
lobose amoebae. Small filose and lobose amoebae can also be produced by gametes
(Burkholder et al. (2001a), modified).
A. ZACCARONI AND D. SCARAVELLI
138
10. New toxins
10.1. AZASPIRACIDS
Azaspiracids are polycyclic polyethers molecules with 40 carbon atoms,
with a different level of methylation, presenting a carboxylic acid and a
cyclic imine function and a unique cyclic structure (Satake et al., 1998;
Ofuji et al., 1999). Some human intoxication has been reported in France,
Netherland and Italy (McMahon and Silke, 1998). The producing organism
Poisoning is characterized by symptoms similar to DSP (diarrhea,
nausea and vomiting) and recovery occurs in 3–5 days.
Figure 23. Protoperidinium crassipes.
Figure 24. Chemical structure of azaspiracids.
is Protoperidinium crassipes, which distributes uniformly in the mussels
body (Figs. 23 and 24).
SEA WATER TOXINS
139
In animals a neurotoxic syndrome is observed, causing death at low
doses in two to three days due to progressive paralysis; high doses are lethal
in few minutes, and death occurs for paralysis and violent seizures.
Histopathological analysis of rats administered oral or intraperitoneal
toxin showed degeneration and desquamation of gut. This phenomena can
recover after exposure ends, but recovery times are longer that for OA.
Some pancreatic, thymus and cardiac necrosis has been observed, as well as
lipidic accumulation in liver (Ito et al., 2000).
10.2. SPIROLIDES
Spirolides (from A to F) are macrocyclic polyethers produced by Alexandrium
Figure 25. Spirolides chemical structure.
10.3. GIMNODINE
An ichthyotoxic toxin is gymnodine, produced by Gymnodium mikimotoi;
its mechanism of action is not known, but the toxin is not haemolytic,
cytotoxic and does not activate ionic channels (Seki et al., 1995; Miles
et al., 1999).
ostenfeldii (Fig. 25). At present their mechanism of action has not yet been
clarified, but they seems to affect central nervous system (Hu et al., 1995a;
Hu et al., 1995b; Hu et al., 1996a; Cembella, 1998; Cembella et al., 2000).
A. ZACCARONI AND D. SCARAVELLI
140
10.4. PROROCENTROLIDES
Prorocentrum lima and P. maculosum produce not only okadaic acid, but
other macrocyclic polyethers named prorocentrolides and prorocentrolides
B, more polar than OA. The toxicological and pharmacological activities
are not well defined, but it is clear that they have no inhibiting activity on
phosphatases (Torigoe et al., 1988; Hu et al., 1996b).
10.5. COOLIATOXIN
Cooliatoxin is produced by Coolia monotis; it is a polyether considered as a
monosulphated analogue of yessotoxins. The effect of cooliatoxin in animal
is similar to that of yessotoxins, even if the delay time for symptoms ap-
pearance is longer (Holmes et al., 1995).
The respiratory distress responsible for animal’s death is not a result of
direct inhibition of phrenic nerve or of diaphragm activity, but is caused by
an initial stimulation followed by block of non-myelized nerves activity,
which induce a transitory contraction of smooth muscles and a positive
inotrope effect on cardiac muscle (Holmes et al., 1995).
10.6. ZOOXANTELLATOXINS
Zooxantellatoxins are macrocyclic polyethers produced by symbiotic
dinoflagellates Symbiodinium. Their cellular effects are similar to those of
maitotoxins and are controlled by extracellular calcium:
Increase in cytosolic concentration of calcium
Hydrolysis of phoshoinositide via phospholipase C and of phospholipids,
leading to arachidonic acid liberation
Muscular contraction
Sodium influx and potassium efflux from cell (Rho et al., 1995; Rho
et al., 1997; Moriya et al., 1998)
As for maitotoxins, two mechanisms of action have been considered for
zooxantellatoxins:
Calcium channels activation dependent on membrane potential
Activation of non-selective cationic channels
SEA WATER TOXINS
141
11. Toxicoses Due to “Unsual” Vectors
Some fish and marine vertebrate species are responsible for “unusual”
syndromes, generally called “sarcotoxisms”, which sometimes are caused
by a combination of two or more toxins. Toxic compounds produced by
benthic and/or epiphytes can affect various trophic pathways, depending on
the complexity of affected ecosystem; this effect is thus maximal in tropical
areas, where biodiversity if very high (fig. 4).
A summary of poisoning is given in table 6.
TABLE 6. General characteristics of sarcotoxisms.
N
ame Species
Clinical
characteristics
Toxin
Clupeotoxism Herrings,
anchovies, sardines
Short incubation
time, digestive
syndrome,
pruritus,
tachycardia,
vertigos,
cyanosis.
Coma and death
are not so rare
Palitoxine?
Mixed toxins?
A
llucinatory
episodes
Acanthuridae
Mugilidae,
Mullidae,
Estraciontidae,
Pomacentridae,
Serranidae,
Siganidae, Sparidae
Short incubation
time.
Allucinations,
vertigos,
behaviour
alterations,
motory
incoordination
Various,
unknown
toxins
Charca
r
otoxisms Various shark
species
Both nervous and
digestive signs
Mixed toxins
Scombroidotoxism Scrombridae, tuna,
bonitos, mackerel
Short incubation
time, rapid
evolution,
nervous and
digestive signs.
Regression within
8-12 hours
Histamine and
biogenic
amines
Chelonitoxism Sea turtles Digestive
syndrome which
can also be fatal
Unknown
toxins
Lyngbyatoxin?
Some of these poisoning are described in following paragraphs.
A. ZACCARONI AND D. SCARAVELLI
142
11.1. LYNGBYATOXIN AND APLYSIATOXIN
The marine cyanobacterium Lyngbya majuscula has been implicated in
acute adverse health effects in humans over the last forty years with
symptoms including dermatitis involving itching, rash, burning blisters and
deep desquamation and, respiratory irritation and burning of the upper
gastrointestinal tract on ingestion. It has been shown that the toxins
lyngbyatoxin A (LA) and debromoaplysiatoxin (DAT) isolated from
L. majuscula samples in Australia and USA are at least partially responsible
for these symptoms. It should be noted that L. majuscula has been found to
grow in more than 98 locations around the world in tropical, sub-tropical and
temperate climates (Grauer and Arnold, 1961; Mynderse et al., 1977; Solomon
and Stoughton, 1978; Cardellina et al., 1979; Fujiki et al., 1985; Izumi and
Moore, 1987; Anderson et al., 1988; Marshall and Vogt, 1998; Osborne
et al., 2001a; Osborne et al., 2001b).
An association was found between the level of water exposure and
reporting of symptoms. Those with higher exposures were more likely to
report skin and eye symptoms, which previously have been implicated with
exposure to L. majuscula. Toxins of L. majuscula have been demonstrated
both anecdotally and experimentally to be fast acting, thus eliminating the
variable of duration of exposure (Grauer and Arnold, 1961; Solomon and
Stoughton, 1978; Serdula et al., 1982; Izumi and Moore, 1987; Marshall
and Vogt, 1998).
Episodes of human intoxications due to sea turtles consumption have
been known in some Indo-Pacific areas (Halstead, 1970; Champetier De
Ribes et al., 1998). The detection of lyngbyatoxin A in meat of turtles lead
to the identification of this toxin as the causative agent of intoxication
(Yasumoto (1998). Symptoms were characterized by inflammation of oral
and esophageal area, difficulty of swallowing, acute gastritis, papule of the
tongue, mouth ulcers, weakness, tachycardia, headache, dizziness, fever,
salivation, stinking breath. In Madagascar some death in youth and newborn
(due to ingestion of toxins with breast milk) were observed. Lyngbya
majuscola has been proved to produce also aplysiatoxin, which induce
hypersecretion of mucous from the caecum and large intestine, bleeding
from the small intestine and death; the toxin has proved to be a tumor
promoter by activating protein kinase C (Mynderse et al., 1977; Fujiki et al.,
1981; Ito and Nagai, 1998; Ito and Nagai, 2000).
Lyngbiatoxin has been considered as a promoting agent for fibro-
papillomatosis in sea turtles: tumor promoting agents have been shown to
enhance viral synthesis, to enhance oncogene-induced transformation of
SEA WATER TOXINS
143
cells and to reduce immune responses by suppression of the immune-
surveillance mechanism. All these actions ease the occurrence of fibro-
papillomatosis (Arthur et al., 2008).
11.2. CARCHAROTOXIN
The consumption of sharks’ flesh can sometime be the origin of human
intoxications, which are recorded since 1993. These intoxications are charac-
terized by neurological signs, mainly ataxia, while gastro enteric symp-
tomatology is quite rare. This poisoning was for long time considered a
form of ciguatera. Recent identification of carcharotoxins proved that
these toxins have no similarity to ciguatoxins (Habermehl et al., 1994;
Boisier et al., 1995).
It should be remembered that sharks can anyway contain more than one
toxin, ciguatoxins included in Table 7.
TABLE 7. Shark intoxication: syndromes, sources and species involved.
Syndroms
Source
Species involved
Sarcotoxismes Ciguatera Carcharinus galeocerdo
Isurus sp.
Prionace glauca
N
eurosensorial
disturbs
Not known Somniosus
Squalus
Carcharotoxisme Not known Carcharinus leucas
Carcharinus ambonensis
Toxicoses Pollutants
Ciguatera
Neurosensorial
problem
Vitamin A
Prionace
Sclyliorhinus
Sphyrna
Carcharhinus
Carcharodon
11.3. PALITOXINS
Clupeotixism is a poisoning characterized by a high rate of fatalities follo-
wing to sardines, herrings and anchovies consumption. Causative agent for
the poisoning was found to palitoxin, a toxins produced by Ostreopsis spp.;
indeed, the dinoflagellates was found in viscera of toxic fish (Usami et al.,
1995; Molgò et al., 1997).
A. ZACCARONI AND D. SCARAVELLI
144
Being palitoxin isolated from other organisms than dinoflagellates, i.e.
marine coelenterates, sea anemones, crabs and other marine invertebrates,
the algal origin of the toxin is under discussion (Moore and Scheuer, 1971;
Hirata et al., 1979; Beress et al., 1983; Mahnir and Kozlovskaja, 1992;
Gleibs et al., 1995; Yasumoto et al., 1997).
Palitoxin is a polyhydroxylated complex molecules which is constant
despite the producing organism (Quod et al., 2001).
Palitoxin was for long time considered as a form of ciguatera, but
nowadays clinical symptoms allows to differentiate among the two poisoning
(Puiseaux-Dao et al., 2001).
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THE ROLE OF ALLELOPATHY FOR HARMFUL ALGAE BLOOM
FORMATION
EDNA GRANÉLI*, PAULO S. SALOMON
University of Kalmar, Dept. of Marine Sciences, S-391 82
Kalmar, Sweden
GIOVANA O. FISTAROL
Dept. of Agriculture Engineering, UFSC, Florianópolis,
Brazil
algal species are able to kill not only their grazers but also other algal
species, a process called allelopathy. Killing the nutrient-competing phytop-
lankton species enable these species to freely utilize limiting resources such
as nitrogen and phosphorus. While for some algal species, like e.g. the
flagellate Prymnesium sp., the allelochemicals seem to be the same sub-
stances as their toxins, for some other algal species they are not. Alexandrium
spp. are among the latter case: their internal toxins (such as saxitoxins) are
not able to inhibit the growth of other algal species. However, these species
by producing other substances than their internal toxins also cause allelo-
pathic effects. Emphasis is placed here on the flagellate species Prymnesium
parvum; which is not only able of allelopathy but mixotrophy as well.
Mixotrophy, i.e. the capability to ingest bacteria, other algae and even poten-
tial grazers, also contributes to the bloom-forming ability of Prymnesium
spp. Allelopathy, mixotrophy and grazer deterrence increase dramatically
when Prymnesium spp. cells are grown under N or P deficiency, and so
does toxicity, but decrease in intensity or cease completely if cells are grown
with high amounts of N and P in balanced proportions. Prymnesium filtrates
from nutrient deficient cultures have almost the same strong effect on
grazers and other plankton cells as Prymnesium cells grown together with
their target. It seems that toxin production in Prymnesium spp. works not
only as a defense mechanism, but also, by killing competitors, improve the
algae competitive ability under conditions of severe nutrient depletion. We
______
*To whom correspondence should be addressed. Edna Graneli, University of Kalmar, Dept. of Marine
Sciences, S-391 82 Kalmar, Sweden. Email: edna.graneli@hik.se
Abstract: Strong evidence has accumulated on the last years that some
© Springer Science + Business Media B.V. 2008
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
can assume thus that a consequence of the increased input of N and P to
aquatic ecosystems is provoking an unbalanced nutrient situation for
Prymnesium spp., as well as many of the other HAB species producing
toxins, to growth but ideal to produce toxins instead.
1. Defining Allelopathy
Harmful effects of plants on other plants or crops dates back at least 2
millennnia, while experimental work, testing allelopathy, started in the late
eighteenth century (Willis, 1985). Phytoplankton allelopathy was probably
first observed in 1917 by Harder (Inderjit and Dakshini, 1994) when he
reported auto-inhibition in the freshwater cyanobacteria Nostoc punctiforme.
In 1937 the term allelopathy was coined by Molisch (Rizvi et al., 1992) to
describe both detrimental and beneficial biochemical interaction between all
classes of plants (including microorganisms). The term has evolved since
then, including and excluding organisms. We propose to use a definition of
allelopathy that is based on Rice’s concept (Rice, 1984), but updating the
definition along with the taxonomic classification to: “any direct or indirect,
harmful or beneficial effect by plants, protists (e.g. microalga, ciliates),
bacteria, or viruses on another trough the production of chemical compounds
that leak into the environment”. Keating (1999) has also suggested using the
term allelochemistry, which we believe is more appropriate, since allelopathy
evokes only negative effects (pathos = to suffer). In this paper we use the
term allelopathy in the context of the negative/positive effect of allelo-
chemicals produced by certain algae on other algal groups/species; i.e.
grazer deterrence and or predator avoidance are not discussed. We consider
allelopathy as competition strategy, while grazer deterrence and or predator
avoidance are toxic effects.
2. Allelopathy in Aquatic Environments
Although phytoplankton allelopathy was observed nearly a 100 years ago
by Harder (Inderjit and Dakshini, 1994), only in recent years research on the
subject has gained momento (Fistarol et al., 2003; Granéli and Johansson,
2003; Gross, 2003; Legrand et al., 2003; Skovgaard et al., 2003; Fistarol
et al., 2004a, 2004b; Suikkanen et al., 2004; Kubanek et al., 2005; Granéli
and Pavia, 2006; Granéli and Hansen, 2006; Tillmann et al., 2007; Granéli
160
Keywords: HABs, allelopathy, phytoplankton, nutrients, toxins
and Weberg, 2008). It seems that the main reason for the increase in the
ALLELOPATHY IN HARMFUL ALGAE
interest on phytoplankton allelopathy isbecause most of the phytoplankton
species producing allelochemicals are harmful to the marine ecosystems
where they occur.
Harmful algal blooms (HABs) have increased worldwide in waters
ranging from fresh to coastal estuarine and marine waters (Anderson, 1989;
Smayda, 1990; Hallegraeff, 1993; Van Dolah, 2000), causing enormous
impacts in the aquatic ecosystems they occur (Maestrini and Granéli, 1981;
Granéli and Hansen, 2006). Fish kills are usually the first direct effect seen
from the impact of such blooms. The most deleterious impacts occur when
they affect entire ecosystems, causing death of phytoplankton, zooplankton
seaweeds, and shellfish. The toxins produced by such blooms are secondary
metabolites released in the water with capability to punctuate holes in the
cells membranes of the target. Blooms caused by high discharges of nitrogen
and phosphorus to the coastal areas, which produces high algal biomass that
when decomposing causes oxygen depletion in the water column and mostly
in the bottom waters, also cause devastating consequences to the benthic
community (Allen et al., 2006). However, the difference between these two
types of bloom affecting the aquatic ecosystems is that, in the first case, the
cause of the deleterious effect on the flora and fauna is the result of a direct
action of the chemicals liberated by the HA-species into the water on the
other organisms, and not oxygen deficiency provoked by the decomposing
bloom. It seems logical to assume that the effect on the entire ecosystem
from the action of released chemicals is a secondary effect, while the main
purpose of these chemicals would be to kill/inhibit the growth of the other
phytoplankton species competing with the HA-species (allelopathy) and also
to decrease losses by killing their grazers (grazer deterrence).
Both laboratory and filed work have demonstrated allelopathic effects of
several phytoplankton groups. Here we are going to discuss some of the
most important findings of the latest works, emphasizing the results of our
group, and also the allelopathic effect of the flagellate species Prymnesium
parvum which is not only able of allelopathy but mixotrophy as well.
3. Testing Allelopathy in Aquatic Systems
To mimic natural conditions when testing phytoplankton allelopathy, an
important detail that should be considered is the amount of allelochemicals
to which the target species will be exposed. This can be done by having the
allelopathic species at natural cell concentrations, and by exposing the target
organisms to a continuous addition allelochemicals. Experiments involving
just a single addition of allelopathic filtrate to a target species have de-
monstrated that the allelopathic effect may be lost some time after the
exposure, either due to the degradation of the chemicals by light or bacteria,
161
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
or the recovery of the target species (Gleason and Paulson, 1984; Windust
et al., 1997; Suikkanen et al., 2004; Fistarol et al., 2005). Several studies
demonstrated that the toxins produced by some microalgae (e.g. prymnesins
produced by Prymnesium parvum and nodularin produced by Nodularia)
can be inactivated, for example by light through photodynamic and/or pho-
tooxidative processes, and are sensitive to temperature (Reich and Parnas,
1962; Twist and Codd, 1997; Kvernstuen, 1993 cited in Larsen and Bryant,
1998; Fistarol et al., 2003). Some toxins can also be degraded by bacteria
(e.g. microcystin, Christoffersen et al., 2002, Hagström et al., 2007). The
same degradation processes could occur to allelochemicals. Alleloche-
micals may also be removed from the system by, for example, binding to
cell membranes (Tillmann, 2003). All these results indicate that alleloche-
micals are not persistent, and thus, one filtrate addition may not be rep-
resentative of natural conditions. Under natural conditions, allelochemicals are
presumably constantly released to the environment. Therefore, experiments
using repeated filtrate additions probably give a better representation of
natural conditions. In most studies on phytoplankton allelopathy, only one
filtration addition is usually employed, and thus the allelopathic effect may
have been underestimated. Repeated filtrate additions demonstrate an in-
crease in the allelopathic effect compared to one filtrate addition (Suikkanen
et al., 2004; Fistarol et al., 2005).
4. Allelochemicals – Which Substances are they?
The allelochemicals are for the great majority of the algal species unknown,
however some allelochemicals have been identified (see Table 1) (Granéli
and Weberg, in press). The strongest allelochemicals however, have hae-
molytic capacity, perforating holes on the cell membranes of other algal
species, as in the case of C. polylepis and P. parvum (Johansson and
Graneli, 1999a, 1999b; Schmidt and Hansen, 2001; Fistarol et al., 2003;
Fistarol et al., 2004a). As a consequence, there are associated fish-kills, as
the delicate gills cell membranes are affected as well by the action of the
haemolytic compounds (Igarashi et al., 1995, 1999). The majority of the
allelochemicals however, have a mild mode of action, as e.g. inhibition of
some known algal toxins (e.g. okadaic acid –OA, paralitic shelfish posion –
PSPs- toxins, nodularin) caused allelopathic effects have shown a negative
result, i.e. the algal toxins were not the compounds causing allelopathy
(Sugg and Van Dolah, 1999; Tillmann and John, 2002; Fistarol et al., 2003;
Suikkanen et al., 2004, 2006).
photosynthesis and growth (Legrand et al., 2003). Studies that have tested if
162
ALLELOPATHY IN HARMFUL ALGAE
TABLE 1. Allelopathic harmful algae species, their allelochemicals and allelopathic effect.
Species Allelochemicals
a
Reference
Bacillariophyceae
Pseudo-nitzschia pungens U (Legrand et al., 2003)
Skeletonema costatum U (Yamasaki et al., 2007)
Coscinodiscophyceae
Rhizosolenia alata U (Legrand et al., 2003)
Cyanophyceae
Anabaena sp. U (Suikkanen et al., 2005)
A. cylindrica EP (Legrand et al., 2003)
A. flos-aquae HX, A, M, U
(Murphy et al., 1976; Kearns and
Hunter, 2001; Legrand et al., 2003)
A. lemmermannii U (Suikkanen et al., 2004)
Aphanizomenon sp. U (Suikkanen et al., 2005)
A. flos-aquae U
(de Figueiredo et al., 2004; Suikkanen
et al., 2004; Suikkanen et al., 2006)
A. gracile U (Legrand et al., 2003)
Cylindrospermopsis
raciborskii
U (Figueredo et al., 2007)
Gomphosphaeria aponina U (Legrand et al., 2003)
Hapalosiphon fontinalis Hapalindole A (Moore et al., 1984)
Fischerella sp. U (Bagchi and Marwah, 1994)
Fischerella muscicola Fischerellin
(Gross et al., 1991; Legrand et al.,
2003)
Microcystis sp. U, Microcystin
(Sukenik et al., 2002; Vardi et al.,
2002)
Nodularia spumigena U
(Suikkanen et al., 2004; 2005;
Suikkanen et al., 2006)
Nostoc sp. U
(Schagerl et al., 2002; Legrand et al.,
2003)
Nostoc spongiaeforme Nostocine A (Hirata et al., 1996; Hirata et al., 2003)
Oscillatoria sp. FA (Chauhan et al., 1992)
Oscillatoria spp. U (Legrand et al., 2003)
Oscillatoria laetevirens U (Ray and Bagchi, 2001)
Dinophyceae
Alexandrium catenella U (Arzul et al., 1999)
A. minutum U
(Arzul et al., 1999; Fistarol et al.,
2004b)
163
(Continued)
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
Species Allelochemicals
a
Reference
A. ostenfeldii U (Tillmann et al., 2007)
A. tamarense U
(Arzul et al., 1999; Fistarol et al.,
2004a; Fistarol et al., 2004b; Wang
et al., 2006)
Amphidinium klebsii U (Sugg and VanDolah, 1999)
Ceratium sp. U (Legrand et al., 2003)
Coolia monotis U
(Sugg and VanDolah, 1999; Legrand
et al., 2003)
Gambierdiscus toxicus U (Sugg and VanDolah, 1999)
Karenia brevis
(Gymnodinium breve)
U (Kubanek et al., 2005)
K. mikimotoi
(Gymnodinium mikimotoi)
U
(Uchida et al., 1999; Fistarol et al.,
2004a)
Ostreopsis lenticularis U (Sugg and VanDolah, 1999)
Peridinium aciculiferum U (Rengefors and Legrand, 2001)
Prorocentrum lima U (Sugg and VanDolah, 1999)
Prymnesiophyceae
Chrysochromulina
polylepis
U
(Myklestad et al., 1995; Schmidt and
Hansen, 2001; Fistarol et al., 2004a)
Phaeocystis pouchetii U, PUA
(Hansen et al., 2004; Hansen and
Eilertsen, 2007; van Rijssel et al.,
2007)
Prymnesium parvum U, Prymnesin (Igarashi et al., 1998; Fistarol et al.,
2003; Granéli and Johansson, 2003;
Barreiro et al., 2005; Fistarol et al.,
2005)
Raphidophyceae
Chattonella antiqua U
(Matsuyama et al., 2000 cited in Gross,
2003)
Heterosigma akashiwo U
(Matsuyama et al., 2000 (cited in
Gross, 2003; Pratt, 1966; Yamasaki
et al., 2007)
a) A anatoxin, EP extracellular peptides, F fatty acids, HX hydroxamates chelators, M
microcystin, OA okadaic acid, PUA polyunsaturated aldehyde, U unknown. Source: Granéli
and Weberg, (in press)
5. Abiotic and Biotic Factors Regulating Allelopathy
Many abiotic and biotic factors have been investigated in the context of toxin
production, however, as allelopathy is a relatively new topic of research in
164
TABLE 1. (Cont.)
ALLELOPATHY IN HARMFUL ALGAE
aquatic ecosystems, fewer studies and information exists. There are to our
knowledge only a handful of published studies showing how the production
of an allelochemical is influenced by abiotic or biotic factors. This is no
surprise since most allelochemicals have not yet been isolated and struc-
turally determined (Table 1) (Granéli and Weberg, in press). Furthermore,
potentially allelopathic compounds have been characterized from intracellular
extracts but these cannot be regarded as a allelochemicals until a mode of
release into the surrounding environment and a correlation to allelopathic
effect have been shown (Willis, 1985). However, some work on factors
affecting allelopathic effects rather than quantifying the produced allelo-
chemicals has been done and are presented.
5.1. INFLUENCE OF ABIOTIC FACTORS
5.1.1. Light
Allelopathic compounds released by some phytoplankton species seem to be
effective only in a relative short time period. Cell-free filtrates of Prym-
nesium parvum added to cultures of Thalassiosira weissflogii, Rhodomonas
cf. baltica and Prorocentrum minimum had a great negative impact on cell
numbers, but within a few days the exposed species’ began to recover (Graneli
and Johansson, 2003; Suikkanen et al., 2004; Fistarol et al., 2005). How-
ever, when exposed to repeated additions of cell-free filtrate no recovery
was possible (Fistarol et al., 2003; Suikkanen et al., 2004; Fistarol et al.,
2005). Similar findings were observed for the dinoflagellate Scrippsiella
trochoidea which managed to recover from Alexandrium ostenfeldii exu-
dates (Tillmann et al., 2007). These findings suggest that one or several me-
chanisms reduce the allelopathic effect. Exposure from UV light at 255 nm
and visible light between 400 and <520 nm completely inactivated extra-
cellular ichthyotoxins from P. parvum within 90 min (Parnas et al., 1962).
activity when incubated at higher light intensities (van Rijssel et al., 2007),
thus showing a positive stimulation from light.
5.1.2. Temperature
Not much is known how changes in temperature affect phytoplankton al-
lelopathy. An example is that the haemolytic activity of Phaeocystis
pouchetii increased in higher temperatures going from 4°C to 15°C (van
Rijssel et al., 2007). On the other hand, raising the culturing temperature
from 14°C to 20°C of Alexandrium tamarense gave no difference in allelo-
pathic effect to Scrippsiella trochoidea or Heterocapsa triquetra (Fistarol
et al., 2004a).
Another prymnesiophyte, Phaeocystis pouchetii, enhanced its haemolytic
165
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
5.1.3. pH
Coastal surface waters may reach high pH levels (Pegler and Kempe, 1988;
Emery, 1969 cited in Hinga, 1992, Hansen, 2002) and the high pH can be
confounded with the effect seen from allelopathic interactions. For exam-
ple, raised pH level reduced motility of the dinoflagellate H. triquetra when
mixed with low cell densities of C. polylepis (Schmidt and Hansen, 2001).
Increasing the pH from 8 to 9 resulted in more than double numbers of non-
motile H. triquetra cells. The toxicity of high-density cultures of C. polylepis
increased from pH 6.5 and leveled out at pH 8 rendering circa 90 percent of
the H. triquetra cells non-motile. So, in these studies the authors found that
high pH have a negative effect on the motility of H. triquetra, and together
with the allelochemicals increased allelopathy even further (Schmidt and
Hansen, 2001). Similar results have also been found for the freshwater
cyanobacterium Oscillatoria laetevirens, i.e. the production of algicides
almost four folded when pH was elevated from 8 to 9 and at neutral or
lower pH the algicide was found in lower concentrations (Ray and Bagschi,
2001).
5.1.4. Nutrients
Toxicity in phytoplankton usually increases under nutrient limitation
(Edvardsen et al., 1990; Reguera and Oshima, 1990; Granéli and Johansson,
2003; Granéli and Flynn, 2006). If the algae need nitrogen in their toxins (as
saxitoxins, nodularin, domoic acid e.g.), this will happen only under pho-
sphorus limitation (excess nitrogen in the medium). For the algae which
toxins do neither contain P nor N, toxicity increases under both P and
N limitation (Johansson and Granéli, 1999a, 1999b; Granéli and Flynn,
2006). This indicates that the motive behind the increased toxicity is
actually stress, for not having enough of the limiting nutrient to provide for
cell division.
There are very few studies on allelopathy in aquatic systems dealing
with nutrient limitation. Granéli and Johansson (2003) found that starved
Prymnesium parvum cells from N or P increased dramatically their pro-
duction of allelochemicals while and NP sufficient conditions allelopathy
was nearly nil. Thus, this results support the assumption that production of
allelochemicals by algae is similar to their production of toxins, i.e. physio-
logical stress is the cause for it.
The target species also respond differently to the allelochemicals if they
are grown under nutrient sufficient or deficient conditions. Thalassiosira
weissflogii grown under N and P limitation was significantly more sensitive
to Prymnesium parvum allelochemicals than when it was grown under
sufficient nutrient conditions. (Fistarol et al., 2005). Target organisms would
166
be sharing the same stress environment as the allelopathic species, and it
has been suggested that stress would make them more sensitive to allelo-
chemicals (Einhellig, 1995; Tang et al., 1995; Reigosa et al., 1999; Fistarol
et al., 2005; Granéli and Pavia, 2005; Granéli and Hansen, 2006). Thus,
under stress conditions the allelopathic effect may be higher due to both the
increase in the production of allelochemicals and in the sensitivity of the
target species, increasing the competitive advantaged of allelopathic algae.
5.2. INFLUENCE OF BIOTIC FACTORS
5.2.1. The organisms involved
The main factor influencing allelopathic interactions are the organisms in-
volved. The allelopathic effect depends on both the allelopathic (i.e. donor)
species and the target species (Figure 1). Usually, allelopathic species affect
several, but not all target species, and target species are sensitive to several,
but not to all allelochemicals (Fistarol et al., 2003; Fistarol et al., 2004;
Suikkanen et al., 2004; Fistarol et al., 2005). Furthermore, the allelopathic
effect also depends on the cell concentration of the donor and the target species
(Schmidt and Hansen, 2001; Tillmann and John, 2002; Tillmann, 2003).
The different effect of allelopathic species on different target organisms,
as well as the different responses of target organisms to allelochemicals
from different allelopathic algae are reported in Fistarol et al. (2003, 2004a
and 2005), Suikkanen et al. (2005). For example, in Fistarol et al. (2003 and
2004a), it was found that diatoms (in Figure 1, it could be, e.g. target 1)
can be highly inhibited by P. parvum (e.g. allelopathic species, AS, 1),
but they are only moderately inhibited by A. tamarense filtrate (e.g. AS 2).
A. tamarense, on the other hand, has a higher effect on nanoflagellates (e.g.
target 2) than on diatoms. The differentiated effect of allelopathic species
on different targets, as well as the resistance shown by some target species,
might have implications for the evolution of aquatic microalgae. Evolu-
tionary constrains will be discussed further along in the text.
Since allelopathy is mediated by chemicals released into the medium, its
effect depends on the cell concentration of the allelopathic organism. In-
creasing the allelopathic effect with increase in the cell concentrations has
been shown for some phytoplankton groups, e.g. prymnesiophytes, and dino-
flagellates (Schmidt and Hansen, 2001; Tillmann and John, 2002; Tillmann,
2003). Tillmann (2003) also demonstrated that an increase in the cell con-
centration of the target organism decreases the effect (in this case death of
Oxyrrhis marina). Since the death is caused by lysis of O. marina, the
author suggests that the toxic compounds are removed from the system
when they bind to the cell membrane of the target organism.
167
ALLELOPATHY IN HARMFUL ALGAE
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
AS Target
Most affected
organism
1 A, B, C, D A
2 A, B, C, D B
3 A, B, C, D C
a)
Different AS,
anddifferent
targets
4 A, B, C, D D
The most
affected
organism
by each
AS
varies,
i.e., AS
seem to
have
specific
targets
AS Target
Effect on each
target
A
highly affected
1 A, B, C, D
B moderately
affected
C not affected
b)
One AS,
different
targets
D stimulated
Different
target
species
have
different
sensitivity
to one AS
AS Target Effect of each AS
1 A
1 caused a strong
effect
2 A
2 caused a
moderate effect
3 A
3 no effect
c)
the response of
one target to
different AS
4 A
4 stimulates
Each AS
has a
different
effect on
the target.
Specificity
between
target and
donor (may
indicate co-
evolution)
Figure 1. Comparison between the effects caused by different allelopathic species (AS) on one
or several target organisms. The most affected organism by different allelopathic species varies
(a). An allelopathic species will have different effects on each target (b). The same target
organism can be highly affected by one allelopathic species and stimulated by another (c).
There are about 40 harmful phytoplankton species known to exhibit
allelopathy (see Table 1). While in marine end estuarine waters the majority
of the allelopathic species are found among the dinoflagellates, in fresh-
water they are found among the cyanobacteria (Table 1). Nevertheless, it is
among the flagellates that are found the allelopathic species producing the
allelochemicals with the strongest negative impact on the other algal groups.
Blooms of species such as Chrysochromulina polylepis and Prymnesium
parvum are known for killing fauna and flora on the places they occur
(Granéli and Johansson, 2003; Legrand et al., 2003).
168
ALLELOPATHY IN HARMFUL ALGAE
5.2.2. Effect of the growth phase
The intensity of the allelopathic effect depends on the growth phase of the
allelopathic species. Schmidt and Hansen (2001) and Suikkanen et al. (2004)
demonstrated that allelopathic effect is caused by cells that are growing ex-
ponentially, that these effects decrease in the stationary phase, and that
senescent cells do not cause allelopathic effects. Since allelopathy is a form
of interference competition, it makes sense that the allelopathic species would
be more allelopathic during exponential growth, while the cells can benefit
from their effects, indicating that these compounds are important to the eco-
logy of allelopathic species.
5.2.3. Influence of bacteria
Although most experiments on allelopathy of phytoplankton species were
done with non-axenic cultures, it has been demonstrated that the bacteria
present in the cultures are probably not responsible for the observed allelo-
pathic effects (Suikkanen et al., 2004; Tillmann and John, 2002).
Tillmann and John (2002) eliminated the influence of bacteria present
on Alexandrium spp. cultures by removing the bacteria through 0.2 µm
membrane filters. They observed that the allelopathic effect of Alexandrium
spp. did not alter, eliminating therefore the possible bacterial effect.
Suikkanen et al. (2004), tested if bacteria present in the non-axenic
cultures of Nodularia spumigena, Anabaena lemmermannii and Aphani-
zomenon flos-aquae caused any allelopathic effect. The authors found that
bacteria alone caused no effect on the target organism, indicating that the
allelopathic effects they observed were indeed caused by cyanobacteria.
Although specific tests should be done for each allelopathic species, the
examples above suggest that are indeed the phytoplankton species that
cause the allelopathic effects and not bacteria.
6. Ecological Implications of Phytoplankton Allelopathy
Allelochemicals have been suggested to influence phytoplankton compete-
tion, succession, and bloom formation or maintenance (Pratt, 1966; Keating,
1977; Rice, 1984 and references within; Lewis, 1986; Wolfe, 2000; Renge-
fors and Legrand, 2001; Vardi et al., 2002; Legrand et al., 2003; Fistarol et
al., 2003, 2004; Suikkanen et al., 2005). It has been proposed that changes
in plankton community structure are caused by the differential effect of
allelochemicals on different targets (Mulderij et al., 2003). Target organisms
may be completely eliminated, inhibited, resistant to the allelo-chemicals,
or be stimulated (Fistarol et al., 2003, 2004a; Suikkanen et al., 2004).
169
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
Figure 2. Different stages of cells of Thalassiosira weissflogii exposed to P. parvum
filtrate. The first picture of the sequence shows a normal cell that has not been exposed to
filtrate. The pictures are from different cells. Pictures 2 and 3 were after 1 h exposure, picture
4 and 5 after 5 h, and pictures 6 and 7 after 20 h. However, cells completely lyzed could
already be observed after 5 h of exposure.
170
ALLELOPATHY IN HARMFUL ALGAE
Figure 3. Different stages of cells of Rhodomonas sp. exposed to P. parvum filtrate. The first
picture of the sequence shows a normal cell that has not been exposed to filtrate. The
pictures are from different cells, except
the three last Rhodomonas sp. picture that are all
from the same cell. Except for the first Rhodomonas sp. picture, all other pictures were taken
after 20 h of exposure, and the last three pictures were taken in an interval shorter that 2 min.
However, as in the case of T. weissflogii, cells completely lysed could be found after 5 h of
exposure. Thus, although observations have shown that one cell goes through all the stages
depicted in the pictures, some cells are affected before the others.
171
E. GRANÉLI, P. S. SALOMON AND G. O. FISTAROL
It is hypothesized that the basic function of allelopathy is to give the do-
nor organism a competitive advantage (Legrand et al., 2003), and the direct
effect of allelopathy is shown by killing possible competitors. The fact that
Prymnesium parvum (Fistarol et al., 2003) had a higher effect on diatoms
(predecessor group under natural succession) than over cyanobacteria (group
that usually blooms after the highest densities of P. parvum) indicates the
potential competitive use of allelochemicals. The effect of P. parvum on a
natural plankton community (Fistarol et al., 2003) shows how allelopathy
can give a competitive advantage to an allelopathic species. The compounds
excreted by P. parvum completely eliminated some of the competing phytop-
lankton groups and kept the biomass of the other groups at low levels (i.e.
organisms that were not killed had a lower growth rate, and phytoplankton
the ones remaining would show a deficient physiological state.
Usually the lethal effect of allelochemicals involves the lysis of the target
organism. This is especially striking when the allelopathic algae caused a
strong negative effect, as in Prymnesium parvum. Figure 2 and 3 shows
different stages of cells of the diatom Thalassiosira weissflogii and the cry-
ptophyceae Rhodomonas sp., respectively, after exposure to P. parvum
filtrate. The figures shows how the cells change: how they start to lose pig-
mentation, that the cytoplasm seems to aggregate in vacuoles, that the cells
start to blister, and finally that lyses occurs.
7. Allelopathy and Mixotrophy
Resource competition and grazing are traditionally the main mechanic-
sms used to explain phytoplankton population dynamics, and allelopathy is
rarely taken into account. However, allelopathy, and also mixotrophy, have
been shown to affect aquatic communities (Keating, 1977; Vardi et al.,
2002; Fistarol et al., 2003, 2004a). It is very likely that these two strategies
complement each other. Besides killing possible competitors, alleloche-
micals may give a further advantage to mixotrophic species, which can use
the allelochemicals to help to obtain food mixotrophically, as in the case of
Prymnesium parvum (Skovgaard and Hansen, 2003; Skovgaard et al., 2003;
Tillmann, 2003). Allelochemicals can immobilize the prey, which are then
are attacked, or alternatively the allelochemicals can lyse the cells which
then release organic material (Skovgaard and Hansen, 2003; Skovgaard
et al., 2003; Tillmann, 2003).
Selective promotion or inhibition of the growth of individual species will
influence succession and competition in aquatic environments.
primary production decreased). Extrapolated to a natural situation these re-
sults suggest that P. parvum would have less species to compete with, and
172
ALLELOPATHY IN HARMFUL ALGAE
8. Conclusions: Evolutionary Aspects
Allelopathy affects phytoplankton succession and competition because it
gives a competitive advantage to the allelopathic species and/or the resistant
targets organisms. This fact has evolutionary implications because it may
favor the selection of the resistant organisms, as it occurs with toxins rele-
ased by microalgae species, which cause selective pressure on herbivorous
organisms (by selecting the resistant ones) (Hairston et al., 2001). Both the
tolerance showed by some organisms, and the fact differential effect of alle-
lochemicals on each target species (Fistarol et al., 2003, 2004a; Suikkanen
et al., 2004) suggest that co-evolution must be occurring. Furthermore,
Fistarol et al. (2004b) shows an example of a behavioral strategy that could
be used as a defense mechanism. The tolerance to allelochemicals shown by
some target species is especially significant when it is found in successor
algae, which then can achieve dominance over the allelopathic algae, as in
the case of the resistance of cyanobacteria to Prymnesium parvum (Fistarol
et al., 2003). Keating (1977) also showed that the phytoplankton groups
succeeding the allelopathic species were positively affected, and achieved
dominance over the predecessor allelopathic organisms.
Though allelopathic organisms might be good competitors under chemi-
cal interactions, they often are poor competitors for nutrients (Huntley et al.,
1986). Thus, they will only dominate when their ecophysiological charac-
teristics (Smayda, 1997) make them good competitors, causing a fluctuating
selection, where the best competitor under certain conditions will dominate
when these conditions occur, but it will be replaced when conditions change.
Enough evidence has been provided showing the ecological importance
of phytoplankton allelopathy. The success of a certain microalgae species
and the composition of aquatic communities is dependent on a series of abitic
and biotic factors, and it is important to consider them all when studying
aquatic systems.
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CHECKLIST OF PHYTOPLANKTON ON THE SOUTH COAST
OF MURCIA (SE SPAIN, SW MEDITERRANEAN SEA)
NIEVES BOUZA* AND MARINA ABOAL
Department of Botany. Faculty of Biology, University
of Murcia, Campus de Espinardo, 30100-Murcia, Spain
coast of Murcia region were studied from January 2006 to January 2007.
A total number of 243 taxa were identified: diatom was the most diverse
algal group with 134 taxa (55%), followed by dinoflagellates with 67 (28%)
and coccolithophorids with 33 taxa (14%). The groups represented by lowest
number of species were Chrysophyceae with 6 (2.5%), Eustigmatophyceae
with 1 (0.4%) and Euglenophyceae with 1 (0.4%). Only a floristic report has
been already published fo
r northern part of Murcian region (Ros and
Miracle, 1984) and this is the first report of phytoplankton on the southern
coast of region. A similar qualitative composition of the phytoplankton but
with higher values has been found in a recent study in Alborán Sea (Mercado
et al., 2005).
1. Introduction
Algae play an important role in the ecological balance of marine ecosystems.
The continuity of marine biota depends on the photosynthetic activity of these
organisms. Because of their rapid growth and short, simple life cycles, algae
are potential indicators of water quality. Although diverse studies describe
the structure of the communities of phytoplankton in western Mediterranean
______
*To whom correspondence should be addressed. Nieves Bouza, Phycology Laboratory, Depart-
ment of Botany, Faculty of Biology, University of Murcia, Campus de Espinardo, 30100-Murcia, Spain.
Email: niboca04@yahoo.es
179
Abstract: The taxonomic structure of phytoplankton populations of southern
Keywords: Phytoplankton; checklist; SW Mediterranean Sea; Murcian coast
© Springer Science + Business Media B.V. 2008
sea (Margalef, 1969; Delgado, 1990; Claustre et al., 1994; Fiala et al., 1994;
Videau et al., 1994; Estrada et al., 1999; Vila et al., 2001a, 2001b; Vila and
Masó, 2005; Mercado et al., 2005; Reul et al., 2005), only a report about a
point of the Murcian coast located in the northern part of the region has
been published (Ros and Miracle, 1984).
The increase of water demand has promoted the building of several
desalinization plants that may contribute to the rise salinity. The warming
climate with the increase of temperature, salinity, and nutrient concentrations,
will probably change the taxonomic structure of phytoplankton communities
and may favour the formation of HABs (Béthoux, 1989; Gómez, 2003).
The scope of this paper is to present a checklist of phytoplankton on the
southern coast of Murcia region in order to have the reference conditions
prior to the installation of a seawater desalination platform offshore.
2. Materials and Methods
The Mediterranean Sea is an oligotrophic semi-enclosed basin with a natural
eastward decrease in productivity (Sournia, 1973). The studied area is in-
fluenced by Cartagena anticyclonic eddy, characterized by a low chlorophyll
concentration and complex hydrology (Prieur and Sournia, 1994), with high
biodiversity of flora and fauna and with ecosystems considered highly
vulnerable (Calvín et al., 1998).
Monthly samples were collected from January 2006 to January 2007 at
station P2 (Mazarrón 2). The studied station is situated 2,5 Km offshore at
Mazarrón Bay (37º32’55’’N, 4º46’7’’E) in the southern part of the region.
Samples derived from sampling at different seasons were collected in stations
P2 (Mazarrón 2), P3 (Mazarrón 1), P4 (Calnegre) and P5 (Percheles), there
Figure 1. Study area along the Murcian coast showing the sampling stations.
180
N. BOUZA AND M. ABOAL
Mazarró
P2
P3
P5
P4
Spain
N
Samples were collected with a Niskin bottle (KC Denmark) at 5, 25 and
40 m depth and subsamples were fixed with formaldehyde, glutarahaldehyde
and Lugol’s iodine solution. Fresh and fixed samples were examined by
light (OLYMPUS BX50) and scanning electron (JEOL-6100) microscopy
after critical point drying for qualitative analysis.
The species richness was represented as the total number of taxa presen-
ted within the samples. The taxonomic identification of phytoplankton was
carried out to the highest level possible using floras of Balech (1988), Cros
and Fortuño (2002), Horner (2002), Delgado and Fortuño (1991), Hallegraff
et al. (2003), Matsuoka and Fukuyo (2000), Ojeda (2006), Ricard (1987),
Round et al. (1990), Sournia (1986), Tomas (1997), Witkowski et al. (2000).
3. Results and Discussion
Two hundred forty three taxa (117 genera) were identified in the phyto-
plankton of the south coast of Murcia belonging to Bacillariophyceae, Dino-
phyceae, Haptophyceae, Dictyochophyceae, Chrysophyceae, Cryptophyceae,
Ebriidae, Eustigmatophyceae and Euglenohyceae. Table 1 presents a list of
the identified taxa in samples with optical and electronic microscopy.
Bacillariophyceae were the most diverse algae group with 137 taxa (56%),
followed by Dinophyceae with 64 (26%), Haptophyceae (mainly coccolitho-
phorids) with 33 taxa (13%), and Dictyochophyceae with 4 (2%). The groups
represented by the lower number of species, less than 1%, were Chryso-
phyceae, Cryptophyceae, Ebriidae, Eustigmatophyceae and Euglenohyceae.
The most diversified genera of diatoms were Chaetoceros sp. (27),
Thalassiosira sp. (12) and Ceratium (10), Protoperidinium (7), Prorocentrum
(6) and Gonyaulax (6) of dinoflagellates, while Syracosphaera (6) and
Diatoms have been mostly investigated and thus comparable throughout
the Mediterranean. The number of diatoms determined in different parts of
the Mediterranean mostly varies between 107 and 183 (Viliþiü et al., 2002
and references therein). The greatest number of diatoms (400) is listed in
the northern Mediterranean (Travers and Travers, 1973) and (518) in the
eastern Adriatic Sea. Ros and Miracle (1984) reported 144 diatoms in a
station of the northern coast of Murcia.
The most productive and studied areas on Spanish Mediterranean coasts
are Catalan-Balearic and Alborán Seas that are associated to front and
were not significant differences between them. By this reason we refer only
to P2 station (Mazarrón) (Fig. 1).
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PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Umbilicosphaera (3) were the most diversified coccolithophorids (Figs. 2–5).
N. BOUZA AND M. ABOAL
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144 diatoms, 126 dinoflagellates and 17 crysophytes. A common feature on
the south coast of Spain (Alborán Sea) is a gradient of diatoms diversity
from western to eastern related with the ecological gradient between Atlantic
and Mediterranean waters (Delgado, 1990; Rivera, 2004).
Gómez (2003) reported 604 species of free-living planktonic dino-
flagellates in the western Mediterranean Sea where the Algerian sub-basin
(22%) showed the lowest number of species. We found many species of
dinoflagellates that have not been cited in Algerian sub-basin, but this
report considered only studies of African coast to elaborate the checklist of
Algerian subbasin.
Species diversity of phytoplankton is difficult to compare due to differ-
ent methodologies of determination to elaborate the checklist (optical and
Figure 2. Species number of most diversified genera of main taxonomic groups.
eight years on Alborán Sea (Mercado et al., 2005) and on the north coast of
Murcia (Ros & Miracle, 1984). Mercado et al. (2005) described 180 diatoms,
118 dinoflagellates and 31 coccolithophorids. Ros & Miracle (1984) cited
upwelling features respectively. A similar qualitative composition of the
phytoplankton but with higher values have found in a recent study during
182
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
electronic microscopy), sampling periods (days or weeks for single oceano-
graphic surveys versus annual samplings) and the different depths of
samplings.
Figure 3. Scanning electronic microscope photographs of the coccolithophorids: 1. Pont-
osphaera syracusana Lohmann, 2. Calcidiscus leptoporus (Murria et Blackman) Loeblich et
Tappan, 3. Gephyrocapsa oceanica Kampter, 4. Discosphaera tubifera Murria et Blackman,
5. Emiliania huxleyi Hay and Moler, 6. Algirosphaera robusta (Lohmann) Norris. Scale
bars: A, B, D: 10 µm; C, F: 5 µm; E: 2 µm.
183
N. BOUZA AND M. ABOAL
Figure 4. Scanning electronic microscope photographs of the dinoflagellates: A. Gonyaulax
cf. scrippsae Kofoid, B. Dinophysis caudata Saville-Kent, C. Triadinium polyedricum
(Pouchet) Dodge, D. Oxytoxum longiceps Schiller, E. Chain of Ceratium candelabrum
(Ehrenberg) Stein, F: Corythodinium tesselatum (Stein) Loeblich & Loeblich. Scale bars: A:
10 µm; B: 50 µm; C, D, F: 20 µm; E: 100 µm.
184
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Figure 5. Scanning electronic microscope photographs of the diatoms: A. Thalassiosira
mediterranea (Schröder) Hasle, B. Asteromphalus parvulus Karsten, C. Lauderia annulata
Cleve, D. Chain of Detonula pumila (Cleve) Grunow, E. Amphora cf. coffeaformis (Agardh)
Kützing, F: Nitzschia panduriformis var. continua Grunow. Scale bars: A, E: 5 µm; B, C, D:
20 µm; F: 10 µm.
185
N. BOUZA AND M. ABOAL
TABLE 1. List of taxons of phytoplankton determined on the south coast of Murcia.
HAPTOPHYCEAE
Acanthoica quatrospina Lohmann
Anoplosolenia brasiliensis Lohmann
Algirosphaera robusta (Lohmann) Norris
Alisphaera sp.
Alisphaera unicornis Okada et McIntyre
Calcidiscus leptoporus (Murria et Blackman) Loeblich et Tappan
Calciosolenia murayi Gran
Calytrosphaera sp.
Ceratolithus sp.
Cyrtosphaera lecaliae Kleijne
Daktylethra pirus (Kamptner) Norris
Discosphaera tubifera Murria et Blackman
Emiliania huxleyi Hay & Moler
Florisdosphaera sp.
Garderia corolla (Lecal) Kleijne
Gephyrocapsa oceanica Kampter
Gephyrocapsa ornata Heimdal
Helicosphaera carteri (Wallich) Kamptner
Helladosphaera cornifera (Schiller) Kamptner
Palusphaera vandeli Lecal
Phaeocystis sp.
Pontosphaera syracusana Lohmann
Rhabdosphaera clavigera Murray & Blackman
Syracosphaera anthos (Lohmann) Janin
Syracosphaera histrica Kamptner
Syracosphaera molischii Schiller
Syrascosphaera noroitica Knappertsbusch
Syracosphaera prolongata sensu Heimdal et Gaarder
(Continued)
186
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Syracosphaera pulchra Lohmann
Umbellosphaera tenuis (Kamptner) Paasche
Umbilicosphaera sp.
Umbilicosphaera sibogae var. sibogae (Weber-van Bose) Gaarder
Umbilicosphaera sibogae var. foliosa (Kamptner) Okada et McIntyre
BACILLARIOPHYCEAE
Achnanthes cf. placentuloides Guslakov
Achnanthes cf. brevipes var. pabula Hustedt
Amphora cf. coffeaformis (Agardh) Kützing
Amphora cf. turgida Gregory
Amphora sp.
Ardissonea cf. cristalina (Agardh) Grunow
Asterionellopsis glacialis (Castracane) Round
Asteromphalus parvulus Karsten
Bacteriastrum cf. elongatum Cleve
Bacteriastrum delicatulum Cleve
Bacteriastrum furcatum Shadbolt
Bacteriastrum hyalinum Lauder
Biddulphia sp.
Biremis sp.
Ceratulina cf. dentata Hasle
Ceratulina cf. pelagica (Cleve) Hendey
Chaetoceros affinis Lauder
Chaetoceros atlanticus Cleve
Chaetoceros cf. brevis Schütt
Chaetoceros cf. lauderi Ralfs in Lauder
Chaetoceros compressus Lauder
Chaetoceros convolutus Castracane
Chaetoceros curvisetus Cleve
Chaetoceros danicus Cleve
(Continued)
187
N. BOUZA AND M. ABOAL
Chaetoceros densus Cleve
Chaetoceros decipiens Cleve
Chaetoceros denticulatus Lauder
Chaetoceros diadema (Ehrenberg) Gran
Chaetoceros holsaticus Schuett
Chaetoceros didymus Ehrenberg
Chaetoceros lorenzianus Grunow
Chaetoceros peruvianus Brightwell
Chaetoceros pseudocurvisetus Mangin
Chaetoceros radicans Schütt
Chaetoceros rostratus Lauder
Chaetoceros similis Cleve
Chaetoceros simplex Ostenfeld
Chaetoceros socialis Lauder
Chaetoceros tenuissimus Meunier
Chaetoceros teres Cleve
Chaetoceros tetrastichon Cleve
Chaetoceros vixvisibilis Schiller
Chaetoceros sp1.
Chaetoceros sp2.
Chaetoceros sp3.
Chamaepinnularia alexandrowiczii Witkowski
Cocconeis cf. scutellum Ehrenberg
Cocconeis cf. haunensis Witkowski
Cyclotella litoralis Lange-Syvertsen
Cyclotella striata (Kützing) Grunow
Cylindrotheca closterium (Ehrenberg) Reimann et Lewin
cf. Cymatosira sp.
Dactyliosolen cf. blavyanus (Peragallo) Hasle
(Continued)
TABLE 1. (Cont)
188
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Dactyliosolen cf. fragilissimus (Bergon) Hasle
Dactyliosolen cf. phuketensis (Sundström) Hasle
Detonula cf. confervacea (Cleve) Gran
Detonula pumila (Cleve) Grunow
Diploneis sp.
Diploneis bombus Ehrenberg
Diploneis decipiens var. paralella Cleve
Diploneis cf. ovalis-eliptica Hilse
Dytilum brightwellii (West) Grunow
Entomoneis sp.
Eucampia sp.
Eucampia zodiacus Ehrenberg
Eucampia zodiacus cf. cylindricornis Syvertsen
Ethmodiscus sp.
Falcula sp.
Fallacia hyalinula (De Toni) Stickle & Man
Fragilariopsis rhombica (O’Meara) Hustedt
Guinardia delicatula (Cleve) Hasle
Guinardia striata (Stolterfoth) Hasle
Hemiaulus hauckii Grunow
Hemiaulus sinensis Greville
Lauderia annulata Cleve
Leptocilyndrus danicus Cleve
Leptocilyndrus mediterraneus (Peragallo) Hasle
Leptocilyndrus minimus Gran
Licmophora sp.
Lioloma cf. delicatulum (Cupp) Hasle
Mastogloia sp.
Melosira cf. nummuloides Agardh
Meuniera membranacea (Cleve) Silva
(Continued)
189
N. BOUZA AND M. ABOAL
Minidiscus triocularis (Taylor) Hasle
cf. Nanoneis hasleae (Norris)
Navicula sp.
Navicula cf. korzeniewskii Witkowski
Navicula cf. halinae Witkowski
Nitzschia sp.
Nitschia compressa (Bailey) Boyer
Nitschia cf. bicapitata Cleve
Nitzschia closterium (Ehrenberg) Smith
Nitzschia longissima Brébisson
Nitzschia panduriformis var. continua Grunow
Nitzschia cf. sicula (Castracane) Hustedt
Nitzschia cf. reversa Smith
Odontella mobiliensis (Bailey) Grunow
Oestrupia sp.
Placoneis cf. gastrum Cox
Pleurosigma normanii Ralfs in Pritchard
Porosira cf. pentaportula Syvertensen & Lange
Pseudo-nitzschia cf. australis Frenguelli
Pseudo-nitzschia cf. delicatissima (Cleve) Heiden
Pseudo-nitzschia cf. fraudulenta (Cleve) Hasle
Pseudo-nitzschia cf. lineola (Cleve) Hasle
Pseudo-nitzschia subcurvata (Haslle) Fryxell
Pseudo-nitzschia sp.
Pseudosolenia cf. calcar-avis (Schultze) Sundström
Proboscia alata (Brightwell) Sundström
Rhizosolenia castracaeni Peragallo
Rhizosolenia imbricata Brightwell
Rhizosolenia fragilisima Bergon
(Continued)
TABLE 1.
(Cont)
190
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Rhizosolenia setigera Brightwell
Rhizosolenia sp.
Rhizosolenia striata Greville
Rhopalodia cf. musculus (Kützing) Müller
Skeletonema pseudocostatum (Medlin) Zingone et Sarno
Stephanopyxis sp.
Stephanopyxis palmeriana (Greville) Grunow
Synedropsis hyperborea (Grunow) Hasle
Suriella brebissonii Krammer & Lange-Bertelot
Suriella sp.
Thalassiosira cf. anguste-lineola (Schmidt)
Thalassiosira cf. allenii- diporocyclus Hasle
Thalassiosira cf. oestrupii var. veurickae Fryxell
Thalassiosira binata Fryxell
Thalassiosira cf. ecchinata Semina
Thalassiosira leptopus Grunow
Thalassiosira mediterranea (Schröder) Hasle
Thalassiosira punctigera (Castracane) Hasle
Thalassiosira rotula Meunier
Thalassiosira tenera Proschkina-Lavrenko
Thalassiosira sp1.
Thalassiosira sp2.
Thalassionema nitzschioides (Grunow) Mereschkowsky
DINOPHYCEAE
Achradina pulchra Lohmann
Alexandrium sp.
Alexandrium affine (Inoue & Fukuyo) Balech
Alexandrium cf. concavum (Gaarder) Balech
Amphidinium lacustre Stein
Amphidinium sphenoides Wulff
(Continued)
191
N. BOUZA AND M. ABOAL
TABLE 1.
Amphidinium sp.
Amylax sp.
Centrodinium sp.
Ceratocorys horrida Stein
Ceratium azoricum Cleve
Ceratium candelabrum (Ehrenberg) Stein
Ceratium declinatum (Karsten) Jörgensen
Ceratium furca (Ehrenberg) Claparède & Lachmann
Ceratium fusus (Ehrenberg) Dujardin
Ceratium cf. incisum (Karsten) Jörgensen
Ceratium macroceros (Ehrenberg) Vänhoffen
Ceratium massiliense (Gourret) Jorgensen
Ceratium teres Kofoid
Ceratium trichoceros (Ehrenberg) Kofoid
Corythodinium tesselatum (Stein) Loeblich & Loeblich
Dinophysis acuminata Claparède & Lachmann
Dinophysis caudata Saville-Kent
Heterocapsa sp.
Heterodinium cf. dispar Kofoid & Adamson
Histioneis longicollis Kofoid
Histioneis cf. cymbalaria Stein
Goniodoma polyedricum (Pouchet) Jorgensen
Goniodoma sphaericum Murray & Whitting
Gonyaulax sp.
Gonyaulax pacifica Kofoid
Gonyaulax polygrama Stein
Gonyaulax cf. scrippsae Kofoid
Gonyaulax cf. spinifera (Claparède & Lachmann) Diesing
Gonyaulax cf. verior Sournia
(Continued)
(Cont)
192
PHYTOPLANKTON IN SW MEDITERRANEAN SEA
Gotoius abei Matsuoka
Gymnodinium cf. catenatum Graham
Gymnodinium impudicum Fraga & Bravo
Mesoporos perforatus (Gran) Lillick
Nematodinium sp.
Noctiluca scintillans (Macartney) Kofoid & Swezy
Ornithocercus magnificus Stein
Ostreopsis cf. ovata Fukuyo
Oxytoxum longiceps Schiller
Oxytoxum cf. ovale Schiller
Oxytoxum scolopax Stein
Phalacroma rotundatum (Claparède & Lachmann) Kofoid & Michener
Podolampas spinifera Okamura
Podolampas palmipes Stein
Prorocentrum balticum (Lohmann) Loeblich
Prorocentrum compressum (Bailey) Abé ex Dodge
Prorocentrum micans Ehrenberg
Prorocentrum balticum (Lohmann) Loeblich
Prorocentrum gracile Stein
Prorocentrum triestinum Schiller
Protoceratium aerolatum Kofoid
Protoperidinium sp.
Protoperidinium crassipes Kofoid
Protoperidinium cerasus (Paulsen) Balech
Protoperidinium divergens (Ehrenberg) Balech
Protoperidinium mediterraneum (Kofoid) Balech
Protoperidinium biconicum Dangeard
Roscoffia sp.
Scrippsiella cf. trochoidea (Stein) Loeblich
Spiraulax sp.
(Continued)
193
Triadinium polyedricum (Pouchet) Dodge
N. BOUZA AND M. ABOAL
DICTYOCHOPHYCEAE
Dictyocha fibula Ehrenberg
Dictyocha cf. speculum Ehrenberg
Dictyocha staurodon Ehrenberg
Octatis cf. octanaria (Ehrenberg) Hovasse
EBRIIDEA
Hermesinum adriaticum Zacharias
CHRYSOPHYCEAE
Meringosphaera mediterranea Lohmann
CHRYPTOPHYCEAE
Cryptomonas sp.
EUSTIGMATOPHYCEAE
Nannochloropsis sp.
EUGLENOPHYCEAE
Eutreptiella sp.
4. Acknowledgements
The study was supported by Group M. Torres S.L. with a project: Análisis
del control físico-químico y biológico del proceso de desalación por ósmosis
inversa por energía eólica en plataformas flotantes.
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TOXIC PSEUDO-NITZSCHIA POPULATIONS
FROM THE MIDDLE TYRRHENIAN SEA (MEDITERRANEAN
SEA, ITALY)
ROBERTA CONGESTRI*, SIMONA POLIZZANO
AND PATRIZIA ALBERTANO
Department of Biology, University of Rome
“Tor Vergata” – Via della Ricerca Scientifica,
00173 Rome, Italy
domoic acid (DA), a neurotoxic aminoacid responsible for Amnesic Shellfish
Poisoning (ASP) in humans and animals worldwide. Pseudo-nitzschia spp.
are widespread along Italian coast, however current knowledge of their
diversity, temporal succession and potential toxicity is limited to restricted
areas. Blooms of these diatoms have been increasingly recorded along the
Latium region coast (Middle Tyrrhenian Sea, Mediterranean Sea) in the last
decades prompting investigation of Pseudo-nitzschia diversity and potential
toxicity in natural communities from coastal stations over one year. Results
of the taxonomical analysis are here reported together with distribution data,
at species complex resolution, that were collected during a regional long-
term program. Transmission electron microscopy on acid cleaned frustules
ascertained the presence and identity of eight Pseudo-nitzschia species, six
of which are known ASP producers. One species, P. inflatula, is reported for
the first time from Italian waters. Distributional data evidenced coexistence
of different species during blooms, seasonal cycles and inter-annual vari-
ability, abundances of the genus reached 10
7
cell/l
–1
.
Keywords: Pseudo-nitzschia spp., ultrastructure, domoic acid, distribution, Middle
______
*To whom correspondence should be addressed. Roberta Congestri, Department of Biology,
congestri@uniroma2.it
University of Rome “Tor Vergata” – Via della Ricerca Scientifica, 00173 Rome, Italy. Email:
197
Abstract: Several diatoms of the genus Pseudo-nitzschia are able to produce
Tyrrehnian Sea
© Springer Science + Business Media B.V. 2008
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
1. Introduction
Needle-shaped, raphid diatoms belonging to the planktonic marine genus
Pseudo-nitzschia H. Peragallo have been shown to be the causative agent of
Amnesic Shellfish Poisoning, ASP, in humans (Bates et al., 1989) and for
extensive sea fauna deaths in the last decades (Scholin et al., 2000; Shumway
et al., 2003). Eleven Pseudo-nitzschia species are currently known to produce
domoic acid, DA, (Lundholm and Moestrup, 2007) a neurotoxic aminoacid
that accumulates through foodweb impacting marine organisms, human
consumers, causing serious neurological disorders, and ultimately ecosystems
and economy. The presence of these widespread, chain forming microalgae
has frequently been recorded in Italian coastal waters, particularly following
2001, when a national environmental monitoring program was started at
500 m offshore stations using light microscopy to identify phytoplankton.
Intense proliferations of Pseudo-nitzschia were also repeatedly observed during
long term programs carried out along Latium, Campania and Apulia region
coasts (Congestri et al., 2004; Caroppo et al., 2005; Congestri et al., 2006;
Zingone et al., 2006). Strains of two species, Pseudo-nitzschia galaxiae and
P. multistriata, isolated from the Gulf of Naples, proved to be toxic (Sarno
and Dahlman, 2000; Cerino et al., 2005). However, DA was never detected
in mussels collected from Italian sites although it has been reported for French
Mediterranean (Amzil et al., 2001) and Greek stocks (Kaniou-Grigoriaou
et al., 2005).
To date, knowledge of Pseudo-nitzschia occurrence, seasonal dynamics
and potential toxicity in Italian waters is restricted to few areas. Spot studies
on Pseudo-nitzschia diversity and sporadic (non-mandatory) control of DA
in seafood contribute to a limited awareness of the real risk of contamination
and human poisoning. This is mostly due to the need of a very high level of
taxonomical expertise to detect the subtle ultrastructural differences between
species and harmful and non-harmful members of this genus. Frustule details
are crucial for identification and only visible with transmission electron
microscopy (TEM), but TEM equipment is not routinely used during algal
surveillance programs. Consequently, monitoring of phytoplankton to pro-
tect human health and fisheries during a Pseudo-nitzschia bloom is time
consuming and this prevents in many cases early warning procedures aimed
to mitigate potential danger. Difficulties in assessing true Pseudo-nitzschia
identity and the considerable interest in having fast and accurate response
on its potential toxicity all over the world has led to the development of
molecular tools to assist identification at the species level. DNA probes,
targeting specific rDNA sequences of DA producers, were designed to dis-
criminate between species of Pseudo-nitzschia (Miller and Scholin, 1996;
1998; Scholin et al., 1996). However this approach gave controversial results
198
when applied to natural communities, preventing a clear-cut separation between
specimens (Parsons et al., 1999; Orsini et al., 2002). It is also known that the
potential to produce DA varies across clones of the same species and with
cell nutrient status and life cycle (Pan et al., 1996; Bates et al., 1998),
leading to a possible lack of correlation between the abundance of potentially
toxic Pseudo-nitzschia registered in the water samples during conventional
that countermeasures may be taken in presence of non-toxic populations or,
alternatively, that very rare but extremely toxic organisms are overlooked.
To meet the need of monitoring Pseudo-nitzschia spp. dynamics and
their potential toxicity along Latium region coast, a 2-phase approach that
coupled fine ultrastructural examination of field samples and “real time”
toxin analysis, using Screen Printed Electrodes (SPEs, Congestri et al., sub-
mitted), was applied on samples collected over one year. Direct detection of
DA presence in “critical” (comprising potential toxin producers) phyto-
plankton matrices with SPEs allow an optimised and reliable monitoring
tool to respond to safe food resources demand, making also possible the
traceability of toxin along the food chain. This approach minimises prob-
ability of seafood contamination by development of prevention strategies
based on early warning measures and contingency plans (Palleschi et al.,
2002, Albertano et al., this volume).
Here we report on the identity of Pseudo-nitzschia populations in samples
collected over the year of study together with Pseudo-nitzschia distribution
data, at species complex resolution, that were gathered during a regional
long term program based on light microscopical analysis of phytoplankton.
submitted).
2. Materials and Methods
The taxonomical investigation was conducted on concentrated phytoplank-
ton collected fortnightly at 6 stations along the Latium region coast over one
year (January 2001–December 2002). Samples were obtained by horizontal
net (20 Pm-mesh) tows. Aliquots were fixed in 2.5% glutaraldehyde for
electron microscopical analysis, others opportunely treated and stored for
DA determination by HPLC and SPEs (Micheli et al., 2004; Congestri
et al., submitted). Measurements of cell and frustule dimensions and evalu-
ation of cell and chain shape were mainly based on light microscopical
(LM) analysis of uncleaned material using a Zeiss Axioskop microscope at
40 and 100 × magnification. Ultrustructural details as density of striae (rows
PSEUDO-NITZSCHIA SPP. ALONG LATIUM COAST
niques gave positive results that are reported elsewhere (Congestri et al.,
Parallel toxin analysis using SPEs and validated by means of HPLC tech-
cell counts, or by means of probes, and their toxicity. This involves the risk
199
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
of perforations, poroids, across the valve thickness) and fibulae (bridges of
silica between portions of the valve margin that bears the raphe, adjacent
fibulae are separated by interspaces) presence of a central larger interspace,
poroid structure and arrangement and also girdle band features, were examined
on acid (HNO
3
and H
2
SO
4
) cleaned samples, air-dried on formvar-coated
copper grids, using a Zeiss CEM 902 transmission electron microscope,
TEM, at 80 KV.
3. Results and Discussion
3.1. MORPHOLOGICAL AND ULTRASTRUCTURAL DIVERSITY
OF PSEUDO-NITZSCHIA ALONG THE LATIUM COAST
Morphometric traits as frustule shape, size of apical and transapical axes
(the valve length and width respectively, when measurements are performed
in valve view), and morphology of frustule apices together with the degree
of cell end overlap in the stepped colonies, contributed to primary, gross
distinction of a number of different Pseudo-nitzschia “morphotypes” in the
samples. Analysis of data gathered during LM investigation in the light of
following taxonomical revision of the genus, especially of the Nitzschia
delicatissima complex sensu Hasle (1965), allowed to distinguish between
six different morphospecies with light microscopy.
Colonies of linear cells with rounded apices in valve view and with
distinctive sigmoid valve ends in girdle view, of approximately 50 Pm in
length and 3–3.2Pm in width, were rather easily attributed to Pseudo-
nitzschia multistriata (Takano) Takano (Fig. 1 a, b).
Chains of lanceolate cells of about 20 Pm in length, with a central swelling,
in valve view, visible with LM (Fig. 1 c, d), and formerly attributed to Pseudo-
nitzschia prolongatoides, have been assigned to P. galaxiae Lundholm
et Moestrup following Lundholm and Moestrup (2002). Field specimens
and strains from the Gulf of Naples have been shown to undergo dramatic
mor-phological alternation during the seasonal cycle, with dimension of
apical axis ranging between 10 and 80 Pm and visible change in frustule
shape, from linear cells, typical of the larger stages, to rostrate solitary
smaller individuals (Cerino et al., 2005). We did not observe P. galaxiae in
cleaned material under TEM, but the morphometric features of the colonial
forms observed during cell counts unequivocally point to P. galaxiae. In
any case, the presence of this species could have been overlooked during
monitoring activities based on LM, as the larger stages could be confused
with P. delicatissima sensu Hasle (1965).
200
Gross morphological features revealed during LM analysis allowed to
attribute fusiform cells of about 5–6 Pm in width and 76–114 Pm long to
the Nitzschia seriata complex sensu Hasle (1965). This morphotype, readily
distinguishable in valve view had pointed apices with an overlap of adjacent
cell endings in the colonies of about 1/6–1/8 of cell length (Fig. 1 e, f ).
Figure 1. LM micrographs. Pseudo-nitzschia multistriata in valve, a. and girdle view,
showing valve sigmoid shape, b. Chain detail of P. galaxiae, c. note the central swelling and
overlap of adjacent valve ends, d. Girdle view of two lanceolate cells of P. fraudulenta in
chain, e. the overlap of pointed apices in the close-up, f. Pseudo-nitzschia delicatissima
sensu Hasle (1965) a short overlap of truncated valve apices was visible in girdle view of the
linear valves, g. Chain of linear valves tapering towards pointed apices identified as P.
pseudodelicatissima sensu Hasle (1965), h. Bars =10 Pm.
PSEUDO-NITZSCHIA SPP. ALONG LATIUM COAST
TEM investigation ascertained its identity as Pseudo-nitzschia fraudu-
lenta (Cleve) Hasle. Fibulae and striae were approximately equal in numbers,
19–22 in 10 µm, with fibulae aligned with valve interstriae. Each stria had
two or three rows of poroids, there were 5–6 poroids in 1 µm. Poroid vela
consisted of hymenate sectors variable in number, usually 4 or 5. Mantle
was three poroid high (Fig. 2 a-f).
201
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
Figure 2. TEM micrographs of Pseudo-nitzschia fraudulenta, a-f, and P. inflatula, g-l. Tip of
fusiform valve showing bi- and triseriate striae, a. that were clear at a greater magnification,
b. Valve and mantle (proximal) poroid structure in c. mantle poroid detail in e. Girdle band,
with the same pattern of striation as the valve, is shown in d. hymen of girdle band poroids
in f. Central part of the valve showing the central larger interspace and the central nodule, of
which a close up is shown in i. uniseriate striae of the valve and proximal mantle are also
visible as well as a slight swelling in the middle, g. Valve inflation was more evident at the
valve end, h. Variation in hymen structure of round to square poroids are shown in l. Bars = 2
(a, b, g, h) and 1 Pm (c, d, i, l).
Valves of Pseudo-nitzschia inflatula (Hasle) Hasle were only distin-
guished during TEM analysis. The gross morphology of this species is very
similar to that of P. pseudodelicatissima sensu Hasle (1965). During LM
examination of samples, linear cells, 80–100 µm long, with pointed apices
in both views were referred to as P. pseudodelicatissima long morphotype,
although the latter cells were wider, 1.5–2 µm, than those labelled as P.
pseudodelicatissima during LM investigation. TEM analysis clearly revealed
202
the presence of inflations in the middle and close to the apices of the valves
that together with the following features: presence of uniseriate striae, 30–34
in 10 Pm, a number of 16–20 fibulae in 10 Pm, the central larger interspace
and round to square poroids, 4–5 in 1 Pm, with the hymen divided into two
large perforated parts separated by narrow strips of silica, led to ascribe this
morphotype to P. inflatula (Fig. 2 g-l). This is the first report of this species
in Italian waters. P. inflatula has been recently reported from the Mexican
Pacific (Hernandez-Becerril and Diaz-Almeyda, 2006) and formerly by
other authors from different locations, leading to consider its distribution to
be cosmopolitan.
Linear, narrow cells about 50–70 µm long and 0.6–1.8 µm wide, taper-
ing towards the apices that had cut-off ends, with a very short cell overlap
in chains, were attributed to Pseudo-nitzschia delicatissima sensu Hasle
(1965) during LM observation (Fig. 1 g). TEM analysis of cleaned valves
revealed ultrastructural details that fitted the original description of P.
delicatissima by Hasle (1965), as biseriate striae, 32–40 in 10 µm, of tri-
angular to exagonal small poroids, approximately 8–9 in 1 Pm, with finely
hymenate vela along with the presence of the central larger interspace,
18–26 fibulae in 10 Pm and mantles one poroid high (Fig. 3 a-e). In any
case, a degree of variability was observed in our samples concerning poroid
structure and arrangement and this was also recorded for cultured and field
material from the gulf of Naples, in fact combined morphological, mole-
cular and mating studies showed the presence of five distinct lineages
within what was considered to be P. delicatissima (Orsini et al., 2004;
Amato et al., 2005). Following taxonomical re-assessment of this species,
based on ultrastructural features and genetic traits, highlighted the existence
of a complex of three different species that incorporated the variability
registered in populations previously attributed to P. delicatissima from
diverse areas of the world (Lundholm et al., 2006).
The data in our hands, based only on morphology and ultrastructure of
specimens, did not conform unequivocally to any of the two newly des-
cribed species and to the third emended taxon P. delicatissima sensu stricto.
The attribution to P. decipiens Lundholm et Moestrup or to P. delicatissima
sensu stricto remained ambiguous. Latium specimens differed from the two
taxa for the shape of poroids, that were rather irregular, not only exagonal.
The range of the transapical axis and densities of fibulae and poroids of our
material resembled those of P. delicatissima sensu stricto, but the number
of the striae was more similar to P. decipiens.
Linear, to almost linear cells of 60–100 Pm in length and 1.3–2.8 Pm
wide, tapering towards the pointed apices, both in valve and girdle view,
PSEUDO-NITZSCHIA SPP. ALONG LATIUM COAST
203
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
Figure 3. TEM micrographs of Pseudo-nitzschia decipiens/delicatissima, a-e, and P.
calliantha, f-m. Part of the linear valve showing cut-off end, a, shown in more detail in b.
Biseriate striae were visible on the valves, c and d, finely hymenate vela of triangular to
exagonal poroids in d. Both mantles are shown in d and the central larger interspace with a
central nodule in e. Tip of one valve, f, showing pointed apex in g. The central larger
interspace and central nodule are visible in i, as the finely structured uniseriate striae, with
hymen sectors arranged in a flower fashion, m and g; the same velum pattern was observed
in the girdle bands, l. Bars = 2 (a, f), 1 (b, d, e, g, h, i, l, m) and 0.5 Pm (c).
204
and with short end overlap in the chains, were ascribed to Pseudo-nitzschia
pseudodelicatissima (Hasle) Hasle during LM observations (Fig. 1 h). TEM
analysis of frustules featuring these morphometry and gross morphology
showed that most of the valves could be attributed to the newly described
species P. calliantha Lundholm, Moestrup et Hasle. Recently, uncertainty
regarding delineation of the species P. pseudodelicatissima and P. cuspidata
(Hasle) Hasle led to the revision, based on ultrastructural and molecular data,
of the complex Pseudo-nitzschia pseudodelicatissima/cuspidata which out-
come was the description of two new species P. calliantha and P. caciantha
Lundholm, Moestrup et Hasle and the emendation of P. pseudodelicatissima
and P. cuspidata (Lundholm et al., 2003). Valves identified as P. calliantha
during TEM investigation were 80–100 Pm long and 1.3–2.0 Pm, with 33–40
striae and 18–23 fibulae in 10 Pm and the central larger interspace corres-
ponding to 5 striae. Striae were uniseriate, round to square poroids, 4–5 in 1
Pm had vela consisted of a central unperforated or hymenate part surround-
ded by five to eight hymenate sectors arranged in a circle, resembling a
flower, valve mantle was one poroid high (Fig. 3 f-m).
Wider lanceolate valves, approximately 2.1–2.8 Pm in width and 60–75 Pm
long were seldom observed in the cleaned material. Morphometry, poroid
structure and cingular band features led to a tentative attribution to P.
caciantha Lundholm, Moestrup et Hasle. The numbers of striae and fibulae
were slightly lower, 28–32 and 16–18 in 10 Pm, respectively in these spe-
cimens and poroid hymen was distinctively different, divided into four-five
sectors. Mantle was 1–2 poroids high and the first cingular band, the valvo-
copula, two poroid wide and three to five poroid high, had 36–40 striae in 10
Pm, the other cingular bands appeared shorter (Fig. 4 a-b’).
A third, rare, lanceolate morphotype, 60–90 Pm long, differed from P.
caciantha in valve width, 1.5–1.9 Pm, with much denser fibulae, 22–23,
and striae 36–40 in 10 Pm. Each stria had one row of poroids, 4–5 in 1 Pm,
and the hymen was distinctively divided in two (bipartite) perforated parts
(Fig. 4 c-e).
This morph was tentatively attributed to P. pseudodelicatissima/cuspidata
complex (Lundholm et al., 2003) as the definitive delineation of the two em-
ended species remained unclear also after detailed morphological and phylo-
genetic analysis. In any case, more recent work reported the two above
mentioned species as separated based on valve morphometry, slight dif-
ferences in valve and band striation and density of fibulae (Lundholm et al.,
2006), our specimens more closely resembled P. cuspidata
(Hasle) Hasle
emend. Lundholm, Moestrup et Hasle.
PSEUDO-NITZSCHIA SPP. ALONG LATIUM COAST
205
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
Figure 4. TEM micrographs of Pseudo-nitzschia caciantha, a-b and P. pseudodelicatissima/
cuspidata, c-e. Part of valve showing uniseriate striae of poroids showing unperforated
central part of the vela surrounded 4–5 irregular arranged hymenate sectors a. Valve end
with cingular bands, b and b, striation of the valvocopula and pattern of the other bands is
visible in b. Central part of the valve, c, poroid structure different from the former
morphospecies is also visible, poroids appeared primarily bipartite, e, although a degree of
variation was observed, d and e. Bars = 2 (b), 1 (a, b’, c, e) and 0.5 Pm (d).
206
3.2. PSEUDO-NITZSCHIA DISTRIBUTION ALONG THE LATIUM REGION
COAST, TOXIC AND DOMINANT TAXA
There were eight different Pseudo-nitzschia morphotypes distinguished by
TEM in the samples collected at the six coastal stations monitored from
January 2001 to December 2002. Six species Pseudo-nitzschia calliantha,
P. inflatula had never been recorded in Italian waters yet.
Long term data of coastal phytoplankton collected from 1997 at the
same stations, except for the one located at the island of Zannone, allowed
to identify a total of 374 taxa, 33 of which are toxic. Distribution patterns
evidenced inter- and intra-annual variability of populations, with sharp temp-
oral fluctuations of total phytoplankton abundances that generally peaked in
summer. This reflected influence from inland input and the anthropogenic
impact (Congestri et al., 2006). In accordance, blooms of Pseudo-nitzschia
as a genus occurred in spring-summer, different species coexisted during
blooms and the more southerly stations exhibited maximum abundances,
at the species/morphotype level, in 2003. P. calliantha and P. decipiens/
delicatissima peaked in March (1.3 and 1.5 × 10
6
cell l
–1
), P. fraudulenta in
June (4.4 × 10
6
cell l
–1
) as P. galaxiae (2 × 10
6
cell l
–1
), but in 2002, while
P. multistriata (6.5 × 10
6
cell l
–1
) in August.
Further investigation on phytoplankton structure over the long-term study
using the Sanders index (Sanders, 1960) was carried out to test dominance
of individual taxa at the different sampling stations during the year of maxi-
mum abundances (2002–2003). This highlighted a degree of temporal and
spatial variability in the seasonal cycles of the different species. P. galaxiae
was more correlated with the RMB (Ladispoli, Rome) station, largely influ-
enced by the Tiber River run-off while P. decipiens/delicatissima dominated
at south, at LTD (Rio Martino, Latina) and at LTE (Monte D’Argento, Latina).
At this latter station P. decipiens/delicatissima was associated with the com-
plex of morphotypes labelled as P. pseudodelicatissima sensu Hasle (1965)
(Congestri et al., 2006). Rather more diversified patterns of the same
species were recorded in the Gulf of Naples (Zingone et al., 2006), although
higher numbers of P. fraudulenta and P. multistriata were recorded in
Latium. Conversely, in the Southern Adriatic Sea P. calliantha was strongly
correlated to winter water conditions, while the species identified as
P. delicatissima sensu Hasle (1965) had a broader seasonal distribution and
PSEUDO-NITZSCHIA SPP. ALONG LATIUM COAST
appeared independent from major environmental constraints (Caroppo et al.,
2005). Other investigation on Pseudo-nitzschia in the Northern Adriatic
waters confirmed a winter pattern, with occurrence and maximum abun-
dances of the whole genus in winter (Socal et al., 1999).
P. cuspidata, P. decipiens/delicatissima, P. fraudulenta P. galaxiae and P.
multistriata are potential DA producers (Lundholm and Moestrup 2007).
207
R. CONGESTRI, S. POLIZZANO AND P. ALBERTANO
4. Conclusions
Monitoring activities of phytoplankton require accurate identification of
microalgae coupled to fast toxicity assays for contingency plans to be deve-
loped allowing prevention or mitigation of human health and economy
impact. This study ascertained the identity of Pseudo-nitzschia populations,
the occurrence in critical numbers of potentially toxic species and their re-
current blooms along Latium region coast. Long-term data provided know-
ledge of seasonal patterns of the species distinguishable in LM, highlighting
as a consequence of the increased exploitation of marine resources. In this
scenario, fast and reliable tools, as the Screen Printed Electrodes, SPEs,
should be introduced in routine monitoring procedures for the detection of
algal toxins in diverse matrices in order to track toxins path and fate through
the food chains (Albertano et al., this volume).
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210
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection.
ALGAL BLOOMS IN ESTONIAN SMALL LAKES
AIMAR RAKKO*, REET LAUGASTE AND INGMAR OTT
Institute of Agricultural and Environmental Sciences,
Estonian University of Life Science, Centre for Limnology,
61117 Rannu, Tartu County Estonia
Abstract. The database of the Centre for Limnology includes phytoplankton
material from 500 lakes: this represents approximately 21% the total num-
ber of the lakes in Estonia. A phytoplankton biomass value greater than
8 mg L
–1
was set as the limit criteria for further investigation. Blooms of cyano-
bacteria have been the most frequent and intensive: 20 different species of
cyanobacterial blooms in different lake types have been detected in approxi-
mately 15% of the Estonian lakes. Until 1970s, the most widely distributed
phytoplankton mass occurrences were caused by genera Microcystis and
Anabaena. After that period changes in plankton communities took place
and chroococcal cyanobacteria were replaced by filamentous forms, e.g.
Planktothrix, Aphanizomenon and Limnothrix. From that period onward
cyanobacterial biomasses have diminished, probably because of a decreased
nutritient load from agriculture. Raphidophyte Gonyostomum semen was
firstly recorded in the beginning of 1980s and up to now this species has
been found in more than 80 lakes, which belong to three different limnologi-
cal type: dystrophic, semidystrophic and oligotrophic. In addition, blooms of
chrysophytes, dinoflagellates, cryptophytes and chlorophytes were also
documented.
Keywords: Estonian lakes; algal blooms; cyanobacteria; Gonyostomum semen.
______
*To whom correspondence should be addressed. Aimar Rakko, Institute of Agricultural and
Environmental Sciences, Estonian University of Life Science, Centre for Limnology, 61117 Rannu,
Tartu County Estonia. Email: aimar.rakko@limnos.ee
211
© Springer Science + Business Media B.V. 2008
A. RAKKO, R. LAUGASTE AND I. OTT
1. Introduction
There are about 2300 small lakes with an aquatory greater than 1 hectare in
Estonia which cover 4.8% of its territory (Tamre, 2006). The two largest
lakes Peipsi and Võrtsjärv (Figure 1) together make up for 87% of the area
of lakes. Roughly 50% of lakes are less than 3 hectares in size; only 45
lakes have a surface area of more than 100 hectares. Most of the lakes are
shallow: only 46 of them reach a depth of 15 or more metres (the deepest is
L. Rõuge Suurjärv with a depth of 38 m). According to the limnological
typology elaborated by Mäemets (1974; 1976) eight lake types can be found
acterized by a specific complex of fauna and flora and a certain matter and
energy circulation. This typology is based on the natural accumulation type,
very similar to the principles of Water Framework Directive of EU (2000)
and differs in principle from the typology that can be found in the literature
and which is based on the trophic state.
1.1. ALGAL-BLOOMS IN ESTONIAN LAKES
Algal blooms have been a regular phenomenon in Estonian small lakes.
Probably these blooms are as old as the formation period of lakes, which
started about 12000–13000 years ago when the continental ice retreated
from the present territory of Estonia. However, these blooms are reported to
have increased in frequency, biomass, and duration in recent decades, pre-
sumably in response to anthropogenic eutrophication (Ott and Kõiv, 1999).
The principal factors influencing the lakes have been (1) diffuse and point
source nutrient load from agriculture, (2) sewage water from rural areas, (3)
industrial waste water, (4) drainage and soil amelioration, (5) airborne
pollution from industrial areas (Laugaste, 1994, Mäemets et al., 1994). The
most intensive nutrient load originated from agriculture which culminated
in the years 1985–1988, contributed about 50–60% of the total nutrient
loading to Estonian lakes. From the late 1980s this loading decreased due to
a significant drop in the use of mineral fertilizers (Loigu, 1993). After that
period the ecological status of many lakes started to improve rapidly. The
improvement however is not relevant to all the lakes, mainly because of a
higher internal nutrient load.
1.1.1. Cyanobacteria
Cyanobacterial blooms (biomass >8 g L
–1
) have been detected in approxi-
mately 15% of the Estonian lakes. The blooms are caused by 20 different
212
in Estonia: oligotrophic (8% of the lakes), semidystrophic (6%), dystrophic
(6%), eutrophic+hypertrophic (36–37%), mixotrophic (36–37%), siderotrophic
(0,2%), halotrophic (1,4%) and alkalitrophic (2,6%). Each type can be char-
BLOOMS IN ESTONIAN LAKES
Figure 1. Location of Estonian lakes (Kask, 1979).
species in different lake types, even in oligotrophic lakes. Cyanobacterial
blooms were recorded for the first time in Estonian lakes at the beginning of
the 20
th
century (Olli, 1996). These blooms typically occurred in midsum-
mer and dominant species were Anabaena lemmermanni, A. flos-aquae ja
Microcystis aeruginosa. In the 1950s when more comprehensive studies of
Estonian small lakes began, the same genera were found widely distributed
in the plankton of mesotrophic and eutrophic lakes. Species from genera
Microcystis (M. aeruginosa, M. wesenbergi, M. flos-aquae, M. botrys) and
Anabaena (A. lemmermanni, A. flos-aquae, A. hassali, A. circinalis) were
widely distributed approximately up to the late 1960s. Since the 1970s with
the increase in nutrient load, the species composition changed – the abunance
of large colonies of Microcystis and some species of Anabaena (A. flosaquae,
A. hassali, A. lemmermanni, A. circinalis) decreased, while some filamentous
Limnothrix redekei have expanded in abundance and distribution con-
siderably (Ott and Kõiv, 1999). Moreov er, in opposition to the period prior
1970, the frequency of autumn blooms increased, especially in stratified
lakes. These blooms were induced mainly by nutrient enrichment (pre-
dominantly phosphorus) from the anoxic bottom layers in correspondence
to the autumn turnover (Milius and Pork, 1977). Due to the replacement of
the large colonies by remarkable smaller filaments, the biomass values
started to decrease after 1970s. Nevertheless, some species, like P. agardhii
and species belonging genera Anabaena, have quite large dimensions, for-
ming the greatest biomasses of phytoplankton (Table 1). In addition, it was
cyanobacteria such as Pseudanabaena limnetca, Planktothrix agardhii and
213
A. RAKKO, R. LAUGASTE AND I. OTT
also shown that P. agardhii formed the highest biomass in meta- and hypo-
limnion in strongly stratified lakes during the vegetation period (Laugaste,
1991; Kangro et al., 2005) and P. rubescens during winter under the ice
(Laugaste, 2006). Biomass concentration was still very high (>30 mg L
–1
) at
the beginning of 1990s in several lakes and dropped permanently from the
middle of the decade up to now. Concentrations higher than 10 mg L
–1
have
almost never been found. Dominant species are Limnothrix planctonica,
Aphanizomenon yezoense, A. gracile and Planktolyngbya limnetica. Biomass
and distribution of P. agardhii have diminished due to the decrease of ex-
ternal nutrient loading since the beginning of 1990s (Ott et al., 2002).
aeruginosa has decreased, while M. botrys increased. Probably this change
was not so obvious because in previous investigation periods the M. botrys
was confused with several other species from Microcystis genera, mainly
M. aeruginosa (Cronberg and Komarek, 1994). Microcystis species inhabits
mainly small unstratified or weakly stratified lakes.
Lake Type Surface
area, ha
Maximum
depth, m
Biomass,
mg*L
–1
Species Year
Rummu DEP 50 2,8 888 Anabaena
lemmermanni
1985
Verevi HY 12,6 11 499 Planktothrix agardhii 1985
Konsu HM 139,2 10,2 507 Planktothrix agardhii 1982
Peta HE 3,6 25 205 Planktothrix agardhii 1975
Ruusmäe HY 4,8 11,6 190 Anabaena spiroides 1990
There has been very little information available about the real toxicity of
cyanobacterial blooms in Estonia because of the scarce work in this field.
Basically, in small lakes, microcystins are produced by several bloom
forming cyanobacterial genera including Microcystis, Anabaena and
Planktothrix (Table 2). There is lack of evidence that toxins have caused the
death of cattle, wildlife, and present hazards to human health via drinking
water or accidental ingestion of cyanobacterial bloom material. However,
skin irritation and allergic reactions in swimmers exposed to cyanobacterial
blooms have been reprorted several times.
1.1.2. Raphidophytes
There are two species in Estonian lakes belonging to raphidophyte genera –
Gonyostomum semen and G. palludosum. Both species are uncommon and
no blooms have been documented.
The abundance of species from genera Microcystis has changed – M.
TABLE 1. 5 highest recorded cyanobacterial biomasses in Estonina natural lakes. DEP-
soft-water mixotrophic; HY– hypertrophic; HM – hard-water mixotrophic; HE – hard-water
eutrophic.
214
BLOOMS IN ESTONIAN LAKES
(Taner et al., 2005).
Sampling Sampling Dominant Concentrations of microcystins
Pg/l****)
point date species***)
Mcd
mRR
McRR McY
R
Mcd
mLR
McL
R
hajärv*) 3.07.01
M. botrys,
M. viridis,
M. wesenbergii,
M. flos-aquae
na na na na 1.1
Ähijärv*) 5.07.01
M. flos-aquae,
Radiocystis geminata
na na na na
0.1
Narva
reservoir.**) 6.09.02
A. circinalis,
M. viridis
na na na na 67
hajärv**) 25.06.04
M. botrys;
M. viridis;
M. flos-aquae;
M. wesenbergii,
A. lemmermannii
11.5 8.3 2.0 1.8 3.2
hajärv*) 25.06.04
M. botrys;
M. viridis;
M. flos-aquae;
A. lemmermannii
0.53 0.44 0.09 0.05 0.2
Notes:
*) mean water samples from the open area of the lake from the depth 30–50 cm
**) water sample from the region of inshore accumulation of cyanobacterial mass
***) A.- Anabaena; M. - Microcystis
****) na – not analysed
G. semen was found at first at the beginning of 1980s in some soft-water
forest bog and dystrophic lakes where the total alkalinity (HCO
3
) is below
60 mg L*
–1
(Ott and Kõiv, 1999). In the beginning of the 1990s G. semen
formed a great biomass in dystrophic lakes and was dominant also in some
semidystrophic, soft-water mixotrophic and in two formerly oligotrophic
lakes (Laugaste, 1992). This species was not found during the earlier in-
vestigation period (up to1980s). It is well known phenomenon that after
fixation of sample with Lugol solution G. semen cells break immediately
therefore making their recognition rather complicated (Hongve et al., 1988):
this might have been the main reason why the presence of G. semen has
been often overlooked. This, however, is not case of the samples collected
before the 1980s as re-examination of many of these old samples has pro-
ved lack of remnant cells.
TABLE 2. Concentrations of microcystins found in the water of some Estonian small lakes
215
A. RAKKO, R. LAUGASTE AND I. OTT
On the other hand widening may be connected with changes in water
chemistry. Cronberg et al., 1988 reported that the main reason for the ex-
pansion of G. semen in Swedish forest lakes was related to the acidification.
On the contrary no drastic decrease of pH in Estonian small lakes has been
observed. Estonia has carbonate-rich soils and therefore lakes are well-
buffered and, moreover, acidification is inhibited by alkaline air pollution
pik, 1989), which neutralizes the effect of acid rains. It is more probable
that wider distribution and increased biomass of G. semen in lakes is related
to increasing nutrient content (mainly phosphorus) during the past decades
(Nõges and Laugaste, 2002). Positive correlation between higher phosphorus
levels and biomass has also been reported by Rosén (1981, cit. Nõges and
Laugaste, 2002).
Up to now G. semen has been found in more than 80 lakes, most of
which belonging to bog and forest dystrophic or mixotrophic lakes, but also
in two oligotrphic lakes in the 1990s (Nõges and Laugaste, 2002). The
highest biomasses were reported by the same authors in dystrophic lakes
with extremely dark water (Secchi depth <1 m; COD
Cr
60–100 mg O L
–1
).
The highest biomass concentration 100 mg L
–1
was recorded in 1991 in
brown-water lake (lake Orava Mustjärv ) near the town Põlva in the south-
eastern part of Estonia. The occurrences and higher biomasses correlated
positively with increasing phosphorus level in the lakes with moderate pH
(<7). It is also showed that G. semen can exploit nutrient resources from
deeper water layers (hypolimnion) as well. Studying Finnish dark-water
lakes, Salonen and Rosenberg (2000) found the highest biomass near the
surface during the daytime and in the hypolimnion during night. They
pointed out that diurnal vertical migration of G. semen was directly related
to taking up and storage of soluble reactive phosphorus (SRP). This gives an
important competitive advantage over the other algae and explains the do-
minance and high biomasses of G. semen in lakes. However, beside vertical
distribution, simultaneous horizontal distribution has also been observed in
one Estonian oligotrophic lake – Nohipalu Valgjärv (soft water, surface area
6,3 ha, maximum depth 11,7 m) – in August 2007.
(Figure 2). This hori-
zontal patchiness was probably due to concentration of cells in upwind
areas that has been already described for other downward-migrating algae,
e.g. dinoflagellates (Heany, 1976). As there may be differences in horizontal
and vertical distribution of cells, it may be sometimes overlooked already in
the sampling phase particularly in brown-water lakes.
However, G. semen has spread not into some semidystrophic lakes in
Estonia that exhibit nearly neutral pH, but in those lakes where the bicarbo-
nate content is over the 60 mg L
–1
. Its fast expansion in Estonian lakes
216
BLOOMS IN ESTONIAN LAKES
Figure 2. Bloom of Gonyostomum semen in lake Nohipalu Valgjärv in august 2007.
remains still unclear, but nutrient load seems to be one of the main factors
that may have enhanced it. According to the data of biomass from Estonian
lakes, G. semen usually reaches its biomass maximum on July or August
but it has also been observed in plankton from May to September. Blooms
of G. semen were considered to be non-toxic but, may result unpleasant for
swimmers by provoking mucilage and skin irritation thereby lowering
recreational value of lakes.
1.1.3. Other algae
Sometimes not regular phytoplankton mass occurrences have been noticed
by other algal groups. Higher biomasses have been observed among chryso-
phytes, dinoflagellates, cryptophytes and chlorophytes. The annual maximum
of chrysophytes is usually in spring, after the ice break. Dominating species
during that period belong to the genera Uroglena, but rarely the biomass
exceeds a value greater than 8 mg L
–1
. In midsummer higher biomass values
may originate from Mallomonas caudata and in 2007 at first recorded by
small-celled Chrysococcus sp. in oligotophic soft water lake Viitna Pikkjärv
(surface area 16,3 ha, maximum depth 7 m) (Rakko, 2007). The greatest
217
A. RAKKO, R. LAUGASTE AND I. OTT
recorded biomass values are 35 mg L
–1
in the Lake Kallete in 1975 (hard
water, surface area 8 ha, maximum depth 6,2 m, dominant Peridinium
willei) and 20 mg L
–1
in the lake Vagula in 1989 (hard water, surface area
518 ha, maximum depth 11,5 m). In the latter, higher biomass values of
C. hirundinella have been reported several times. Cryptophytes may have
higher biomasses usually under the thermocline in stratified lakes (Laugaste,
1991) or in nutrient rich shallow lakes. The greatest recorded values are
30 mg L
–1
in hypertrophic Lake Kooraste Linajärv in 1975 (soft water, sur-
face area 2,7 ha, maximum depth 12,7 m). Approximately 30–40 domina-
ting chlorococcal species were recorded in highly eutrophic lakes. The
highest biomass values, in the range of 40–78 mg L
–1
, were recorded several
times in the lake Harku in 1976–1990, suffered from sewage water, (hard
water, surface area 164 ha, maximum depth 2,5 m, dominant Scenedesmus
quadricauda,). Also, in other hypertrophic lake Partsi Kõrtsijärv (suffered
from flax retting), high biomass (35 mg L
–1
) was recorded in summer in
1975 (soft water, surface area 3,4 ha, maximum depth 5 m, dominant
Tetraëdron minimum).
2. Conclusions
The database of phytoplankton allows to follow long term dynamics and
phytoplankton mass occurrences in Estonian lakes. The highest values were
documented during Soviet time (1970–1980s), when extensive agriculture
prevailed. The main dominating species belong to cyanobacteria. During the
past deacades water blooms caused by chroococcal species (mainly Micro-
cystis) have been substituted by filamental species from Nostocales. Among
the other algae, Gonyostoum semen has become an important dominating
species in soft water lakes. In the lakes, suffered from easily decomposing
organic matter, chlorococcal species can prevail. Generally, the ecological
status of Estonian lakes has improved since 1990s. The status of the lakes
depend more from weather in different years and less from nutrient loading.
3. Acknowledgments
I thank Paolo Gualtieri for organizing the school “Sensor Systems for
Biological Threats: The Algal Toxins Case”. The article was supported by
NATO and the core grants of the Ministry of Education Nos. 0370208s98,
0362482s03 and by grants of the Estonian Science Foundation Nos. 3579
and 4835.
218
BLOOMS IN ESTONIAN LAKES
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A. RAKKO, R. LAUGASTE AND I. OTT
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection.
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
SENSITIVITY FOR DETERMINATION OF WATER TOXICITY
PAOLO GUALTIERI
Istituto di Biofisica C.N.R., Area della Ricerca di Pisa, Via
Moruzzi 1, 56124, Pisa, Italy
TETIANA PARSHYKOVA*
Kiev National University named Taras Shevchenko,
Volodymyrska st., 60, 01017, Kiev, Ukraine
mation of toxicity in screening of water-bloom material and laboratory
cultures or cell extracts. It is discussed the advantages and difficulties at using
as bioassay the organisms from different systematic groups. It is determined
lethal doses for checking of natural algae toxins activity.
1. Introduction
Algae are the main primary producers of organic material and oxygen. They
are utilizers of CO
2
as well in continental reservoirs as in World Ocean. Due
to the high photosynthetic potential they synthesize up to 74% organic sub-
stances in water ecosystems or 25% of total production, which is formed on
the Earth (Considine, 1984).
Algae export into environment the significant part of organic substances
that are produced in process of vital activity. The portion of these substances
in the general cells balance is very valuable and makes about 30% of the
all daily oxygen balance or 40% pure daily production of photosynthesis
______
*To whom correspondence should be addressed. Tetiana Parshykova, Kiev National University
named Taras Shevchenko, Volodymyrska st., 60, 01017, Kiev, Ukraine. Email: ladik1@voliacable.com
221
Abstract: It was established that bioassay is convenient first test for esti-
Keywords: Water “blooming”, toxicity, bioassay, lethal dose
© Springer Science + Business Media B.V. 2008
(Kirpenko, et al., 1977). Chemical composition of metabolites is varied
essentially. Among exometabolites are identified aminoacids and peptides,
compounds of polysaccharide nature, essential oils, aldehydes, organic acids,
terpenes, vitamins, compounds of polyphenolic and indolic nature, antimi-
crobial components and others compounds with high biological activity
(Sirenko and Kozitskaya, 1988). It was detected substances with allergenic,
mutagenic and cancerogenic effects, antihormonic, plant growth regulation,
bactericidic, insecticydic, fungicydic and algicidic activity.
Algae toxicity is bring to the attention at estimation of water quality,
functional activity of hydrobionts and products, which are received from it.
For example, it is carried out a great bulk of investigations on studying of
algae toxins effect on fishes and also organisms-filtrators in the context of
negative action of Microcystis aeruginosa on speed of zooplankton filtration
and lowering of speed the feed consumption in 10–15 times (Sirenko and
Parshykova, 1988). An important value has a search among algae toxins –
compounds with high biological activity, which may be used as medicines
(Carmichael, 1980). Fulfillment the complex of above mentioned resear-
ches promoted to essential widening the list of toxic algae flora represent-
tatives, deciphering the chemical nature of separate toxins, showing up the
factors, which are contribute to strengthening or weakening of water toxicity.
Thus, investigation of microscopic algae toxic exometabolites and prepara-
tive, purification of its compounds has as well theoretical as practical
significance.
Goal of our experiments was analyzed of perspectives for using of dif-
ferent organisms (warm-blooded, hydrobionts, microorganisms) for esti-
mation of biological activity of algae toxins.
2. Difficulties in Determination of Biological Activity of Algae Toxins
Taking into consideration that algae develop in close association with other
macro- and microorganisms in reservoirs, it is very important to study the
chemical nature of metabolites that produce such associations into environ-
ment. An additional point to emphasize is that biologically active compounds
which are produced by algae-microorganisms associations can create con-
ditions for formation of free-radical processes which will reinforce the
toxicity or to be of its reason. Localization of biologically active compounds
causes essential troubles in establishment of water microorganisms’ toxicity
too. There are 2 types of algae toxicity: endogenous and exogenous.
222
P. GUALTIERI AND T. PARSHYKOVA
result of cells ability to biosynthesis of special metabolites. Determination
connected as well with its lability, low concentration and small specificity,
as a result of demonstration of toxicity for various compounds. For example,
for cells of different living organisms (such as animals, plants and micro-
organisms) the intracellular oxygen may be toxic due to its superoxides, O
2
,
HO
2
, hydrogen peroxide, OH-radical forms. The oxygen toxicity can show
up because of degradation of subcellular structures, inactivating of enzymes
and formation of intracellular lipid peroxides (Sirenko and Parshykova,
1988).
Exogenous toxicity links compounds which production by algae, post-
lethal degradation of organic matter and adaptive provision to influence of
foreign chemical ingredients. For example, Microcystis aeruginosa toxicity
sometimes is explained by necessity to accumulation of soluble organic
compounds in cultural medium. It is obligatory condition for growth of
young cells that feed on heterotrophic on earlier stage of ontogenesis. In this
case toxicity can be considered as biological appliance for supporting of
population (Sirenko and Parshykova, 1988).
3. Studying of Biological Activity of Algae Toxins
It is well known, that algae toxins are found out in representatives of
Cyanophyta (Cyanobacteria), Dinophyta, Chlorophyta and Chrysophyta.
Among of Cyanobacteria toxins the microcystins and nodularine are most
investigated in many countries of the world. There are 4 groups of algae
toxins by effect of human: hepatotoxins, dermatoxins, cytotoxins and neuro-
toxins (Carmichael, 1988). Comparative estimation of biological activity for
natural algae toxins testifies that metabolites of Cyanobacteria are on inter-
mediate position between toxins of microorganisms, amphibious animals
and toxins of higher plants or mushroom origin (Table 1).
It was registered, that lethal dose (LD
50
) for Cyanobacteria are: for ana-
toxin – Ⱥ/S (producer of Anabaena flos-aquae) –20 Pg/kg, nodularine
(Nodularia spumigena) and microcystine LR (Microcystis aeruginosa) –50,
anatoxin – Ⱥ (A. flos-aquae) –200 Pg/kg of animal body. It is significantly
Endogenous toxicity is caused, on one side, by organism genotype and
metabolic processes, on other side, by population, allelopatic and adaptive
mechanism of cells regulation. In all cases it is connected with accumu-
lation in cells the biologically active substances, which are formed as a
of chemical nature for compounds of this group is very difficult. It is con-
223
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
TABLE 1. Comparative toxicity of different biological toxins (Carmichael, 1992; Carmichael,
1994; Carmichael, 1997).
Toxins Producer, source Usual name
Lethal* dose
LD
50
Botuline toxin Clostridium botulinum Bacteria 0.00003
Tetanus toxin Clostridium tetani Bacteria 0.0001
Ricin toxin Ricinus communis Plant 0.02
Diphtheria toxin Corynebacterium diphtherial Bacteria 0.3
Cocoy toxin Phyllobates bicolor Frog toxin 2.7
Tetrodotoxin Arothron meleagris Fish 8
Saxitoxin Aphanizomenon flos-aquae Cyanobacteria 9
Cobra toxin Naja naja Snake poison 20
Nodularine Nodularia spumigena Cyanobacteria 50
Microcystin-LR Microcystis aeruginosa Cyanobacteria 50
Anatoxin-A/S Anabaena flos-aquae Cyanobacteria 20
Anatoxin-A Anabaena flos-aquae Cyanobacteria 200
Curare Chrondodendron tomentosum Brazilian plant 500
Strychnine Strychnos nox-vomica Plant 500
Amatoxin Amanita sp. Mushroom 200–500
Muscarine Amanita muscaria Mushroom 1100
Fallotoxin Amanita sp. Mushroom 1500–2000
Potassium cyanide 10000
*Lethal dose in Pg on 1 kg of body weight: intraperitoneal injection for mice and rats.
less in comparison with alkaloid curare (Brazilian plant Chrondodendron
tomentosum) –500, muscarine (mushroom Amanita muscaria) –1100 Pg/kg
and even with potassium cyanide (LD
50
– 10000 Pg/kg).
As it may be seen from Figure 1, investigations, which were carried out
in many countries, allowed analyzing the experience of isolation, studying
and estimation of Cyanobacteria toxicity. Worlds search for new and more
sensitive separation and detection methods for phycotoxins seems partly a
genuine desire to limit the negative consequences of these poisons in our
food and water supplies plus scientists’ inherent drive to always develop
something “bigger and better” or, in keeping with the proper context, “more
rapid and more sensitive”. This is also true in the progression of techniques
for analysis of the cyanotoxins.
For estimation the biological activity of Cyanobacteria toxins in cells
biomass, water samples and animal tissues traditionally have been used
bioassay, chemical methods and immunological technologies. Bioassay is
224
P. GUALTIERI AND T. PARSHYKOVA
Figure 1. Flow chart for the isolation, detection and analysis of microcystins and nodularines
based upon screening method (Carmichael, 1994; Carmichael, 1997):GF – glass fiber; PP –
protein phosphotase inhibition; MS – mass spectroscopy; PBS – phosphate buffered saline;
TFA – threefluoroacetic acid; ODS – octadecylsilanized; HPLC – high-performance liquid
first test for estimation the toxicity in screening water-bloom material and
laboratory cultures or cell extracts and more fast than chemical and im-
munological methods. As a bioassay may be used organisms from different
systematic groups such as warm-blooded animals, invertebrates, micro-
organisms and others.
4. Toxicological Experimentes on Warmblood Animals
Received experimental data testifies (Kirpenko, et al., 1977) that white
mice, rats, chickens, guinea-pigs, cats and rabbits are sensitive to toxic
metabolites of Cyanobacteria. In many manuscripts (Sirenko and Kozitskaya,
1988; Carmichael, 1980; Carmichael, 1988; Carmichael, 1994; Carmichael,
1997) was discussed the level of sensitivity of different living organi-
sms because are known facts about absence of intoxication symptoms
after entering of Cyanobacteria toxins to test-organisms. It is possible that
contradiction of information about sensitivity to algae toxins for differ-
ent animals may be connected with character of substances entering and
differences in its biological activity. Some authors belief that toxicity of
chromatography; NMR – nuclear magnetic resonance; ELISA – enzyme-linked immuno-
sorbent assay.
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
225
Cyanobacteria toxins may appear only after parenteral entering. It was shown
by other scientists that manifestation of toxic effect of Cyanobacteria pos-
At Ukraine presence of toxic metabolites of Cyanobacteria in cells and
water filtrate was discovered on white mice and rats after peroral intro-
duction. By this way algae toxins may detect its unfavorable action in water
consumption for drinking aims.
It is well known that toxic metabolites are produced by specific strains
of Cyanobacteria and more intensive toxins emission in places of its accumu-
lation. In this connection toxicity were used main agents of water “blooming”
in different world reservoirs – Microcystis aeruginosa and Aphanizomenon
flos-aquae. It was estimated toxicity of Cyanobacteria cells depends on
different states of biomass such as tinned biomass or preserving by drying,
after boiling, freezing, ultrasound treatment (50 kHz) and during different
time of destruction process (Table 2).
Received experimental data testifies that in fresh and dried cells biomass
of Cyanobacteria toxic compounds were presented. Samples with domination
of M. aeruginosa (97%) had higher toxicity than with Aph. flos-aquae (96%).
Water filtrates of algae were toxic too but with low degree (1.76>1.21) than
cells biomass.
Table 2 indicates, that after freezing algae cells biomass with further
thaw or ultrasound treatment algae toxicity was increased (2.2 >1.68). Boiling
of algae cells decreases the toxic properties of Cyanobacteria (1.96 >1.72)
but don’t effect on water filtrates toxicity.
Toxicity of algae biomass and water filtrates is decreased during extrac-
tion process, especially after increasing of its terms (1.92 >1.12). These ex-
periments verify that white mice and rats are very sensitive to algae toxins.
So, toxicity of algae biomass may be increased after effect of thermal
and mechanical factors (such as freezing with further thaw, treatment of
ultrasound and other). It caused the formation of great quantity of degraded
algae cells. Boiling of algae biomass decreases the cells toxicity but don’t
effect on toxicity of water filtrates. This fact are interested from two points
of view. At first, it indicates on possibility of strengthening the toxicity of
natural algae populations under effect of extreme factors, which always
takes place under natural conditions (freezing, mechanical influence in
passing of hydrotechnical constructions, pumps during transfer and so on).
At second, it throws light on contradiction in toxicity estimation for the
same algae strains under different conditions.
sible after enteral introduction. However, toxicity of Cyanobacteria metabo-
lites is decreased in this case (Kirpenko, et al., 1977).
P. GUALTIERI AND T. PARSHYKOVA
226
TABLE 2. Semilethal doses (mg/kg) of water filtrates and Cyanobacteria biomass for
Probated patterns Using animals LD
50
TINNED BIOMASS
Microcystis aeruginosa biomass Mice r
M. aeruginosa biomass Rats r
M. aeruginosa water filtrate Mice r
M. aeruginosa water filtrate Rats r
Aphanizomenon flos-aquae Rats r
Aph. Flos-aquae water filtrate Rats r
FROZEN BIOMASS
M. aeruginosa water filtrate Mice r
M. aeruginosa biomass Mice r
M. aeruginosa biomass Rats r
M. aeruginosa water filtrate Rats r
Aphanizomenon flos-aquae Rats r
Aph. Flos-aquae water filtrate Rats r
BIOMASS AFTER BOILING
M. aeruginosa water filtrate Rats r
M. aeruginosa biomass Rats r
M. aeruginosa biomass Mice r
M. aeruginosa water filtrate Mice r
Aphanizomenon flos-aquae Rats r
Aph. Flos-aquae water filtrate Rats r
BIOMASS WORKED UP WITH ULTRASOUND (50 kHz, 20
M. aeruginosa water filtrate Mice r
M. aeruginosa biomass Mice r
M. aeruginosa water filtrate Rats r
M. aeruginosa biomass Rats r
BIOMASS DURING DESTRUCTION PROCESS
M. aeruginosa fresh biomass Mice r
M. aeruginosa fresh biomass Rats r
different animals (biomass content – 0,316 g/ml by dry matter) (Kirpenko, et al., 1977).
(Continued)
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
227
TWO DAYS LATER
M. aeruginosa biomass Rats r
M. aeruginosa water filtrate Rats r
M. aeruginosa biomass Mice r
M. aeruginosa water filtrate Mice r
FIVE DAYS LATER
M. aeruginosa biomass Rats r
M. aeruginosa water filtrate Rats r
M. aeruginosa biomass Mice r
M. aeruginosa water filtrate Mice r
5. Using of Invertebrates for Algae Toxins Indication
High biological activity of algae toxins, complexity and bulkiness of physical
and chemical methods of its detection, possibility of cumulating effect
display demand the elaboration of quick induction methods of presence of
algae toxins in water environment. It is possible to presence the plankton of
Crustacea (such as Daphnia, Cyclops) among the biological indicators that
are perspective for the usage (Fig. 2).
Figure 2. Daphnia magna.
TABLE 2. (Cont)
P. GUALTIERI AND T. PARSHYKOVA
228
was started in 16 hours (15%). Daphnia destructed completely in 48 hours.
Under the concentration of M. aeruginosa within the limits of 11075000
cells per liter the complete destruction in 4 hours has been observed.
The obtained results show that the Daphnia magna could be quite sen-
sitive biological test for the presence of Cyanobacteria toxic metabolites in
water. Considering that experimental results obtained on Daphnia showed
the good correlation under control with warm-blooded animals in sharp ex-
periment test with Daphnia could be used as the express-method for toxicity
determination. It is considered that under the usage of biological tests like
Daphnia to determine the toxicity of unknown samples one has to mention
that their destruction could be caused not only by toxic metabolites, but also
by the products of algae disintegration and also by own animals excrements
especially under prolonged experiments in closed volume of environment.
The check of biological activity of algae toxins preparations allocated
by Ukrainian scientists due to Daphnia rest showed the complete destruct-
tion of Daphnia was observed under concentration of algae toxin 0.0015
–0.0045 mg/l in 4 hours (Table 3).
TABLE 3. Daphnia magna st. survival (% to control) under different algae toxins concen-
trations (Kirpenko, et al., 1977).
Survival under different expositions, hours
Microcystin concentration,
mg/l
2 4 8 16 24 48
0.0045 36 0 0 0 0 0
0.0015 70 0 0 0 0 0
0.00015 100 100 100 100 90 80
0.00004 100 100 100 100 100 66
Another fractions of metabolites extracted from Cyanobacteria showed
less activity to Daphnia magna. So the algae toxin 7 (Kirpenko, et al.,
1977) caused the complete destruction of Daphnia under concentration 0.21
mg/l in 16 hours. The other preparations obtained on the base of natural
water samples gathering in spots of “blooming” water with the domination
of M. aeruginosa also shown less activity (Fig. 3). Algae toxins 6 and 8
were purified from different samples of natural Cyanobacteria population.
Algae toxin 6 contains 0.029 Pg/ml, algae toxin 8 – 0.008 Pg/ml of toxic
compounds.
Test with Daphnia magna st. is sensitive and quick methods for deter-
mination of the toxic metabolites of algae in natural conditions. It is shown
(Braginskiy et al., 1987), that under concentration in water the colony of
Microcystis aeruginosa in the limits of 875000 per liter destruction of Daphnia
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
229
Figure 3. Influence of algae toxins 6 and 8 on Daphnia survival:
The limitation for this method usage may be some statements namely
daphnia test could be non-specified if using of natural water samples. In this
case Daphnia may be destructed under another chemical substances expo-
sition. Moreover the test cannot be used always as the Daphnia are pre-
sented in biotopes only in a short period of time. Beside this in the moment
of high intensity of water “blooming” with the Cyanobacteria the Daphnia
usually leave the place with concentration of sestone and it is quite difficult
to determine them in water basin in this period.
6. Effect of Algae Toxins on Bacterial Flora
While searching of biological indicators for express-estimation of quantity
and activity of algae toxins in water surrounding the significant attention
attract the microorganisms. The collective of the Ukrainian scientists has
executed a complex of experimental works on studying of algae toxins
antimicrobial action as the metabolites of algae with the highest biological
activity that play an essential role in formation of algobacterial cenosis
(Kirpenko, et al., 1977). The spectrum of antimicrobial action was studied
on next pure cultures of microorganisms: Shigella flexneri, Escherichia coli,
Proteus vulgaris, Staphylococcus aureus and others. For investigations had
been used algae toxins with maximal biological activity that have been
collected in spots of water “blooming”. The sensitivity of microorganisms
to algae toxins and its bactericidal and bacteriostatic concentration of algae
toxin were established by method of serial cultivations in liquid cultural
medium. For bacteriostatic concentration we accepted that least concen-
tration of preparation at which the full growth inhibition of microorganisms
1 – concentration 7.25 mg/l; 2 – 1.75; 3 – 0.87;
4 – 0.44; 5 – 0.11 mg/l.
4 – 0.84; 5 – 0.42; 6 – 0.21 mg/l.
1 – concentration 6.7 mg/l; 2 – 3.35; 3 – 1.67;
P. GUALTIERI AND T. PARSHYKOVA
230
culture was marked. As bactericidal we considered that least quantity of
substance that caused absence of microorganisms growth under sowing on
the agar with one loop. The account was made in 48 hours after cultivation
in thermostat. Bactericidal and bacteriostatic concentrations of algae toxin
preparation are established by a method of serial cultivations on meat-
peptone broth (pH 7.2).
TABLE 4. Bactericide and bacteriostatic concentrations of algae toxin 1* during studying by
method of serial cultivations (Kirpenko, et al., 1977).
Concentration, %
Testing microorganism
Bactericide Bacteriostatic
Escherichia coli
10
–5
10
–7
Shigella flexneri
10
–6
10
–7
Salmonella Paratyphi B
10
–5
10
–7
Salmonella Typhimurium
10
–5
10
–7
Staphylococcus aureus
10
–4
10
–5
Staphylococcus weismani
10
–4
10
–5
Enterococcus
10
–4
10
–5
Mushrooms gen. Candida
10
–5
10
–6
*Algae toxin 1 was purified from natural samples of Cyanobacteria, contains 0.1 Pg/l of toxic com-
pound.
As it is shown on the Table 4, Escherichia coli, Shigella flexneri and
Salmonella are the most sensitive to algae toxins of Cyanobacteria. While
studying the mechanism of action of this algae toxin on microbial cell the
researches of dehydrogenase activity of microorganisms under effect of the
allocated preparation were carried out Table 5.
TABLE 5. Algae toxins effect on dehydrogenase* activity of Staphylococcus aureus cells
Time of methylene-blue discoloration, s
Algae toxin concentration, %
Dehydrogenase
Contro
l
1
.
10
–5
** 1
.
10
–6
1
.
10
–7
Glucose dehydrogenase 20.2 70.0 34.2
Glycerin dehydrogenase 24.5 65.7 26.0
Succinic acid dehydrogenase 312.5 562.5 320.0
*Dehydrogenase activity was measured with time (s) of methylene-blue discoloration.
**Under algae toxin concentration 1 10
–5
% methylene-blue didn’t become colorless during 3 days.
.
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
231
As dehydrogenase inactivation leads to infringement of exchange pro-
cesses, that in turn suppresses ability to live of the cell, the specified pa-
rameter can be used for biological testing of physiological activity of
substance, including algae toxins. As it is shown on Table 5 the introduction
of algae toxins into cultural environment caused the inhibition of micro-
organisms dehydrogenase that surely inhibit its duplication and caused dying
off. The maximal oppressing effect on studied dehydrogenase of Staphy-
lococcus aureus has algae toxin in concentrations 1
.
10
–5
and 1
.
10
–6
%.
Therefore, one from ways of negative influence of algae metabolites on
bacterial cell is dehydrogenase inhibition, which has very important role in
energy processes of microbial cell. In one’s turn, dehydrogenase inhibition
and further test-culture extinction may be an index for indication of bio-
logical activity in water environment.
It is interesting to note that Cyanobacteria cells may be perspective
sensor for definition of biological activity of non-algae toxins. A hypothesis
on the appearance and persistence of natural foci of Cholera based on eco-
logical and bioenergetics features of the process was developed by I. Brown
verification. At the sacrifice of ability of various bacteria, including the
genus Vibrio and many Cyanobacteria species to perform energy coupling,
depending on external conditions by means of two cycles (the proton and
sodium cycles). Induction of the sodium cycle of energy coupling increases
the resistance of bacteria to various environmental factors, such as high
concentrations of sodium, alkaline pH, and high proton conductance of
coupling membranes and probably the virulence of these vibrios. In this
case development of Cyanobacteria in an aquatic environment enriched
with Na
+
accelerates alkalization of the medium and stimulates the deve-
lopment of the community of Cyanobacteria with Vibrio cholerae, an auto-
chthonous inhabitant of saline water bodies and marine shallow waters.
Salinization of water bodies accelerates their blooming and enriches them
with soluble organic matter, a substrate for vibrios inhabiting the biotope.
Thus, possibility of sharp growth of cholera epidemic in many districts
of Earth may be forecasted with high precision by intensity of water
“blooming”.
7. Conclusions
1. Algae cells egest into environment an essential quantity of organic com-
pounds of different chemical nature and biological activity in process of
and L. Sirenko (1997). In next years this hypothesis received experimental
Further propagation of Cholera infection is related to eating of heat-un-
treated hydrobionts from “blooming” of water bodies.
P. GUALTIERI AND T. PARSHYKOVA
232
compounds, which have toxic properties, inasmuch as they in a great deal
determine metabolites effect on forming of quantitative and qualitative
indices of hydrobiocenoses. In this connection using the biological pro-
duction of water ecosystems on further trophic levels, including human,
as higher link of biocenotic chain, needs a great attention to water quality
and estimation of its possible toxicity.
2. Range of toxic influence for metabolites, which were extracted from
algae samples essentially varies depending on algological composition,
vitality degree for cells of main producer of toxic compounds.
3. During preliminary stage of organic matter extinction its toxicity with
respect to warm-blooded organisms usually strengthens. However, in
this case determinative is don’t only increasing of algae toxins produc-
tion, but also presence of toxic products as a result of albuminous com-
pounds extinction.
4. Testing of different regimes for algae biomass detoxication – boiling,
strong acid hydrolysis, treatment by adsorbents (surfactants and ion-
changing pitchesɦɢ) testifies about possibility of carrying out the
detoxication with valuable decrease of toxicity. Choice of detoxication
regime is determined by character of further using of product and
demands to its security.
5. LD
50
of algae toxin during peroral introduction to warm-blooded animals
usually is about 10–20 mg/kg, during intraperitoneal introduction – less
than 1 mg/kg.
6. Among perspective sensors for determination of biological activity for
algae toxins may be used biological organisms of different systematic
groups: warm-blooded and invertebrate animals (for example, Daphnia
magna st.), bacterial microflora and so on.
7. Toxic-biological methods of detection Cyanobacteria toxins, which
were described above, may be used advisably under presence of toxin
within the bounds of 10
–3
–10
–4
mg/l. Researches will be began from
Protozoa (for example, determination of concentrations for Daphnia
death).
8. Advantage of using the bioassays for toxicity determination is moderate
cost of method and possibility of receiving the quick answer about
qualitative and quantitative toxin present. Weakness of bioassay method
is impossibility to determine low concentration of algae toxin, especially
in drinking water, and failure to disjoint it sharply between closely re-
lated algae toxins, which were produced by different algae strains.
its vital functioning. Most essentially on all links of ecosystem influence
COMPARATIVE ESTIMATION OF SENSOR ORGANISMS
233
9. Maximum permissible concentration of Cyanobacteria toxin in water is
about 0.0000006 mg/l. Higher concentrations are evidence of taking
special prohibitive measures necessity.
8. Acknowledgements
Kirpenko for help and useful suggestions.
References
Braginskiy, L.P. et al., 1987, Fresh Plankton in Toxic Environment. Kiev: Naukova Dumka.
Brown, I.I., Sirenko, L.A., 1997, The Role of Sodium Cycle of Energy Coupling in Occur-
rence and Persistence of Natural Nidi of Modern Chorela. Biochemistry, 62 (2): 263–269.
Carmichael, W.W. (Ed.), 1980, The water environment. Algae Toxins and Health. New York,
London: Plenium Press.
Carmichael, W.W. et al., 1988, Toxicity and Partial Structure of a Hepatotoxic Peptide
Carmichael, W.W. et al., 1992, Cyanobacteria Secondary Metabolitesthe Cyanotoxins.
J. of Appl. Bacteriology, 72: 445–459.
Carmichael, W.W., 1994, The Toxins of Cyanobacteria. Scientific American, 270 (1): 78–86.
Carmichael, W.W., 1997, The Cyanotoxins. Adv. in Botan. Research, 27: 211–256.
Considine, M.L., 1984, Phytoplankton: Pastures of the Ocean. Ecos, 39: 11–18.
Kirpenko, Y.A. et al., 1977, Toxins of Blue-green Algae and Animal Organism. Kiev:
Naukova Dumka.
Sirenko, L.A., Kozitskaya, V.N., 1988, Biological Active Substances of Algae and Water
Quality. Kiev: Naukova Dumka.
Sirenko, L.A., Parshykova, T.V., 1988, Algae Toxicity and Difficulties of its Estimation in
Environment. Hydrobiological J., 24 (5): 48–58.
Authors are grateful to Prof. L. Sirenko, Prof. W. Carmichael, Dr. H.C. Yu.
Produced by the Cyanobacterium Nodularia spumigena Mertens emend. L575 from New
Zealand. Appl. and Envir. Microbiology, 54 (9): 2257–2263.
P. GUALTIERI AND T. PARSHYKOVA
234
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection.
BIOCHEMICAL METHOD FOR QUANTITATIVE ESTIMATION
OF CYANOBACTERIA TOXINS
LYDIA A. SIRENKO
Institute of Hydrobiology NAS of Ukraine, Geroev Stalingrada
pr. 12, 04210, Kiev, Ukraine
TETIANA V. PARSHYKOVA*
Kiev National University named Taras Shevchenko,
Vladimirskaya str. 60, 01017, Kiev, Ukraine
nesterase inhibition for qualitative and quantitative determination of Cyano-
bacteria toxic metabolites in natural waters and algae cells. It was established
that changes of cultural medium pH may be registered by spectrophotometric
method with using of bromine thymol blue indicator or by electrometric
method with indexes of pH-meter. Depending on degree of cholinesterase
inhibition the different quantity of organic acid is evolved
. It is determined
that method differs from other biochemical methods by rapidity and may be
used under field conditions.
1. Introduction
Water “blooming”, which is induced by mass reproduction of some algae
menon is registered as well in the majority of eutrophic freshwater reservoirs
______
*To whom correspondence should be addressed. Tetiana Parshykova, Kiev National University
named Taras Shevchenko, Volodymyrska st., 60, 01017, Kiev, Ukraine. Email: ladik1@voliacable.com
species, is most wide-spread case of biological contamination. This pheno-
(such as lakes, ponds, estuaries), as some seas (Azov, Black, Baltic) and sepa-
production of Cyanobacteria but well known also cases of water “blooming”
rate part of oceans. Water “blooming” in freshwater is caused by mass re-
235
Abstract: It is shown the possibility of using the model reaction with choli-
Keywords: Cyanobacteria, toxins, cholinesterase, nature water
© Springer Science + Business Media B.V. 2008
which are caused by reproduction of Chlorophyta, Diatomea, Dinophyta
and Chrysophyta (Canter-Lund and Lund, 1995; Sirenko and Gavlilenko,
1978). Water “blooming” in sea-water (what is called as “red tides”) is caused
by different species of Diatomea algae. During recent years “red tides” were
registered in some freshwater reservoirs (for example, Biva lake in Japan).
aquae (L.) Ralfs., Anabaena flos-aquae (Lyngb.) Breb. are main agents of
water “blooming” among Cyanobacteria. These species are characterized by
essential toxicity. Taking into consideration the negative effect of Cyano-
bacteria toxins and its high biological activity, methods of identification,
preparative purification and its quantitative estimation were elaborated in
many countries of the world (Figure 1) (Harada, 1996).
By and large methods of detection and quantitative determination of
Cyanobacteria toxins may be divided by convention on the 3 groups (Kirpenko
et al., 1977; Carmichael, 1997):
Microcystis aeruginosa Kuetz. emend. Elenk., Aphanizomenon flos-
Figure 1. Summary of screening, identification, separation and quantification techniques
available for Cyanobacteria toxins (Harada, 1996). FL – fluorescence; FAB – fast atom
bombardment; ESI – electron spray ionization; CE – capillary electrophoresis.
236
L. A. SIRENKO AND T. V. PARSHYKOVA
Toxicity (mice)
Screening ELISA
Phosphatase assay
FID-GC, HPLC(FL)
NMR
MS, MS/MS
TLC/FAB
Identification LC/MS (FAB)
LC/MS (ESI)
micro LC/MS (FAB)
HPLC (photodiode array)
HPLC (CE)-linked phosphatase assay
Separation and HPLC (UV)
Quantification micro LC/MS (FAB, SIM)
HPLC (FL, CL)
1mg
1µm
1ng 1pg
2. Chemical Nature of Cyanobacteria Toxins which were Used for
It is well known that Cyanobacteria toxins are complicated many-component
organic compounds by its chemical constitution. It is shown the empiric com-
position and structural formulae for many toxins in the literature (Carmichael,
1994; Carmichael, 1997; Sirenko and Kozitskaya, 1988). Some of Cyano-
bacteria toxins were synthesized. However, nature of the majority of Cyano-
bacteria toxins don’t elucidate because of difficulties of its purifycation and
identification. In connection with heterogeneity of Cyanobacteria toxins is
more rationally to use complex approaches for qualitative and quantitative
its studying in water and biological mediums.
For elaboration of biochemical method had been used Cyanobacteria
toxin which was isolated from natural populations (Sirenko, L. et al., 1995;
Kirpenko, 1996). It is white fine crystallized material, soluble in water up to
concentration of 1%. Solutions of toxins have no color, smell and optically
transparent. This compound withstand sterilization by boiling and autoclaving.
physics-chemical methods (relieving of UV, IR-spectrum, electron spin
resonance, chromatography, disk-electrophoresis in polyacrylamide gel,
high-voltage electrophoresis) which are used for identification of che-
mical nature for preparative purified compounds;
enzyme and immunological reactions for detection and quantitative
estimation of toxins in water and biological medium (determination of
Cyanobacteria toxins presence by cholinesterase activity, tripsin, ELISA
method);
toxicology-biological methods (estimation of acute toxicity on warm-
blooded animals and hydrobionts, using of insulated organs and mito-
chondria, tissue cultures and others experimental materils).
The aim of our work was acquaintance with experience of Ukrainian
scientists by studying of toxicity and elaboration the method of quantitative
estimation of presence and activity of Cyanobacteria toxins in water by
Toxins are soluble in organic solvents (such as butyl, ethyl, methyl alcohols),
but from these solvents toxins were very difficult to crystallized. Form of
crystals after crystallization from ethanol are presented at Figure 2.
for Elaboration of Reaction with Cholinesterase
METHOD FOR ESTIMATION OF CYANOBACTERIA TOXINS
237
reaction with cholinesterase.
Figure 2. Form of toxin crystals during crystallization from ethanol (Kirpenko et al., 1977).
Molecular weight of more active toxins fraction is about 19000. Toxin
has 5–7 characteristic spots with Rf 0.12; 0.24; 0.43; 0.56; 0.73; 0.93; 1.14
at thin layer chromatography with using of standard plates “Silufol” UV-
254 and next systems of solvents: isopropyl alcohols (CH
3
CH(OH)CH
3
):
acetic acid : water in proportion (60:1:40).
It were detected 5 fractions at electrophoretic separation of toxin in
boratic buffer (pH 8.4) with using of 600 V and 20mA during 4 hours. There
were up to 56% of protein, 4% peptides, more than 1% carbohydrates and
about 0.3% of reduction compounds in toxic substance of algae.
It were detected 16 aminoacids in toxin hydrolisate after hydrolysis
by proteolitic enzymes. It were leucyne (13.9±1.6), phenylalanine (4.6±0.27),
valine + methionine (4.1±0.41), tyrosine (6.3±0.36), proline, alanine (8.4±0.73),
threonine (14.9±1.27), glutamine acid (15.1±0.92), glycine + serine (7.9±5.6
and 13.3±0.8), asparaginic acid (5.4±0.27), arginine (5.1±0.32), hystidine
(2.4±0.73) and lysine (2.8±0.73). It was found the 1–2
.
10
16
free radicals in
the toxin composition with using of electron spin resonance method
(Malyarevskaya et al., 1986).
Solution of Cyanobacteria toxin in distilled water had the next maxi-
mum of absorption: 187, 189, 192, 193 nm for UV-areas and 2950, 2850,
1412, 730, 680 sm
–1
in IR-areas. Toxin was fractionated into 6 components
with relative electrophoretic mobility (REM)) in zones 0.09; 0.12; 0.17;
0.25; 0.44; 0.80 after using of disk-electrophoresis in polyacrylamide gel.
There are 4–5 acid components with close and identical mobility in its
structure. It is found the specific proteins in zones with REM near 0.80–
0.91 for most toxic preparations.
L. A. SIRENKO AND T. V. PARSHYKOVA
238
Cyanobacteria toxin (which is used for elaboration of this method) was
depolarized neuromuscular blocking agent and high cumulative by toxic-
pharmacological action. Anticholeneesterase acting were dominated after
sharp poisoning by toxin.
3. The General Principle of Model Reaction with Cholinesterase
Inhibition
All main elements of model reaction in vitro were based on experimental
data by Martin and Chatterjee (1969) (Sirenko et al., 1975) connected with
inhibition of acetylcholinesterase by algae toxins. This method was modi-
fied by group of scientists (Kirpenko et al., 1976; Sirenko et al., 1997) and
had been used for qualitative and quantitative estimation of toxic metabolites
in water and algae cells.
substrate (acetylcholine or butyrilcholine) and to decompose its into choline
and acetic or butyric acids by next scheme:
cholinesterase
-
HO(CH
3
)
3
N
+
CH
2
CH
2
OOCCH
2
⎯⎯⎯⎯⎯⎯⎯→ acetylcholine
HOCH
2
CH
2
N
+
(CH
3
)
3
OH
-
+ CH
3
COOH (acetic acid)
choline CH
3
CH
2
CH
2
COOH (butyric acid)
Changes of cultural medium pH are due to this reaction. This changing
may be registered by spectrophotometric method with using of bromine
thymol blue indicator or by electrometric method with indexes of pH-meter.
Depending on degree of cholinesterase inhibition the different quantity of
organic acid is evolved.
With aim of this reaction in mind to water sample with inferred present
of toxin added enzyme of cholinesterase with well-known activity and fixed
quantity of acetylcholine. Toxin quantity are determined by calibration curve.
Experiments were demonstrated that this method of Cyanobacteria toxic
metabolites estimation has high sensitivity. It makes possible to estimate
qualitative and quantitative content of biologically-active metabolites in
experimental samples. Method differs from other biochemical methods by
rapidity and may be used under field conditions (Kirpenko, 1996; Sirenko
et al., 1975). However, for its widespread use take into account that phenols,
heterocyclic amines which formation in large quantities in the breakdown of
organic compounds of algae may inhibition of cholinesterase too.
The principle of reaction lies in the fact that cholinesterase interact with
METHOD FOR ESTIMATION OF CYANOBACTERIA TOXINS
239
4. The Sampling of Water for Toxin Determination
Samples of water for estimation of algae toxin content were withdrawn from
reservoirs or at water-purifying stations on different phases of cleaning by
standard method. Volume of water samples was 0.5 l. Selected samples are
placed to glass capacities with neutral reaction. Plastic capacities for drink-
ing water or food products may be used too. Plastics and polyethylene of
other quality may leached different chemical compounds into water. It makes
difficult the receiving of analyze results.
All taking samples of water must be labeled with indication of day and
place of sampling, information about function of water. Water samples for
toxicology-hygienic analysis must be treated during 10–12 hours after
selection. Otherwise these samples necessary must be preserved in refri-
erator at temperature 4°С but no more than 2–3 days (Malyarevskaya et al.,
1986).
5. Preparing of Necessary Reagents
1.
(Na
2
В
4
O
7
), 0.65 g of boric acid (H
3
BO
3
) and 0.02 g of cholinesterase is
dissolved in 1 l volumetric retort. Activity of cholinesterase is measured
in International units (U) (at temperature 25
°С in 1 mg of dry preparation)
is 0.4–0.8 U.
Activity of cholinesterase in absolute units is characterized by
quantity (in mg) of butyrilcholineiodide cloven by 1 mg of dry enzyme
preparation for 1 hour at 20°С. Following a recommendations from
enzyme activity (U) is taken to be equal to its quantity which catalyzes
the transformation of 1 μΜ substrate during 1 min at 25°С under optimal
pH value and substrate concentration.
Method for determination of initial cholinesterase preparation
activity is based on titration with butyric acid which is evolved after
butyril-cholineiodide hydrolysis at 25°С and pH 8.0.
It is profitable to use solution with preparation concentration of 0.09
mg/l if level of cholinesterase cleaning the unknown. It is necessary to
prepare more concentrated solution if the reaction proceeds slowly.
Solution must be diluted if the reaction occurs rapidly.
Cholinesterase preparation weighing on analytical balance with an
accuracy of ±1% for determination of its activity. Then dissolved in 200
ml of saline solution. It is appropriate to prepare such concentrations of
preparations for analyze (mg/ml): 1.5; 0.5; 0.2; 0.09; 0.07; 0.05; 0.03;
0.01 (Malyarevskaya et al., 1986).
L. A. SIRENKO AND T. V. PARSHYKOVA
240
Enzyme Commission of International Biochemical Union the unit of
Standard solution of cholinesterase in borate buffer: 0.5 g of borax
24 ml of cholinesterase with fixed concentration adds to reaction capacity at
25°С. Then pH of cultural medium increases up to 8.5 with using of 0.1 n
NaOH. 1 ml of butyrilcholiniodide solution adds to this mixture. If pH
will decrease up to 8.0 it is necessary to add such quantity of 0.1 n NaOH
that pH is increased up to 8.1. It is noted the level of alkaline in micro-
burette after this manipulation. It is necessary to turn stop-watch at pH
8.0. Then the solution of NaOH adds during 3–5 minutes with such
speed that pH-meter pointer deflects from pH 8.0 no more than 0.5 point
to the left or to the right.
It is established the level of alkaline in microburette after necessary
time and ending of titration. Cholinesterase content is determined in
International units by formulae:
P
1
A = ,
t
.
P
2
where - P
1
– quantity of butyrilcholiniodide which was hydrolyzed
(μM);
- t – time (min);
- P
2
– quantity of cholinesterase which used for 1
determination (mg).
It is determined that 1 ml of 0.1 n NaOH represents the hydrolysis of
100 μM of butyrilcholineiodide.
Value of P
2
can be deduced from concentration (mg/ml) and volume of
cholinesterase (24 ml of saline solution), which used for 1 determination by
next formulae:
100
.
K
P
2
= ,
С
.
24
where - K – correction factor on titre of 0.1 n NaOH;
- С – concentration of cholinesterase, mg/ml.
Precision of method is ±1.5%. Solution of cholinesterase must be kept
in refrigerator at 4°С.
2. Solution of acetylcholine is prepared by dissolving of 0.2 g in 10 ml of
distilled water immediately before using.
3. Bromine thymol blue soluble indicator is prepared by dissolving of 0.1 g
in 100 ml of distilled water. Solution is kept in refrigerator.
4. Standard of coloring for spectrophotometry: 1 g of acetous copper
(Cu(CH
3
COO)
2
) is dissolved in 19 ml of distilled water under heating
up to 40–50°С. To chilled solution it is flushed 2.5 ml of 0.1 n KMnO
4
and 1 ml of ethyl alcohol. Mixture is stirred intensively under heating on
METHOD FOR ESTIMATION OF CYANOBACTERIA TOXINS
241
water bath up to 50°С during 15 minutes. Then it is endured 2 hours for
stabilization of coloring under room temperature. Work solution is
obtained by mixing of 1 ml standard solution with 3.5 ml of distilled
water. Main standard solution is kept under darkness in vessel with
sealing plug.
5. Butyrilcholineiodide (recrystallized) – C
9
H
20
O
2
NJ
6. Magnesium chloride (MgCl
2
), pure for analysis
7. Sodium hydroxide – NaOH, 0.1 n
8. Tetraboric potassium (borax) – Na
2
B
4
O
7
, pure for analysis
9. Boric acid – H
3
BO
3
, pure for analysis
10. Distilled water
11. Saline solution: 6 g NaCl, 3 g MgCl
2
, 0.1 g borax potassium are dis-
solved in 1 l of distilled water.
12. Solution of butyrilcholineiodide in saline solution with concentration
of 200 mg/ml (20%) is prepared before using (Malyarevskaya et al.,
1986).
6. Construction of Calibration Curve for Estimation of Toxin
Quantity
For estimation of toxin quantity by inhibition of cholineesteraze activity
with using of pH-meter or spectrophotometer it is necessary to pursue its
preliminary calibration for transformation of equipment indices into units
of toxin concentration (Kirpenko et al., 1977; Kirpenko, 1996; Martin and
Chatterjee, 1969).
Calibration of instruments is carrying out with using of solution well
known concentration of compounds by standard method. For preparation of
calibration curve used series of toxin solutions from 0.1 to 10
–12
mg/l. These
solutions are prepared step by step after dilution of initial solution. 0.1–0.5 ml
of extracted toxin solution under different concentration is flushed into test-
flowed the distilled water instead of toxin solution. After first incubation in
test-tube it is necessary to add 0.1 ml of bromine thymol blue and 0.2 ml of
acetylcholine solution. The optical density of solution is determined by
using of cuvette in 0.5 cm thick at 680 nm by spectrophotometry after second
incubation (20 min). As the control had been used standard of coloring.
tube. Then 1–2 ml of cholinesterase solution in borate buffer with pH
8.3–8.4 is added into experimental test-tube. Mixture is incubated during 10
min under temperature 37°С during 20 minutes. In the control test-tube is
L. A. SIRENKO AND T. V. PARSHYKOVA
242
Computation of cholinesterase change is produced by subtraction of
optical density or pH of experimental solution from control value, which are
always greater, than with algae toxin.
Construction of calibration diagram is executed by put aside abscissa
axis concentration of spectrophotometrized solutions in μg (mg) on ml (l).
Aside ordinate axis are put values of optical density for spectrophotometrized
solutions (control – experiment). Obtained calibration diagram is used for
estimation of toxin concentration in investigated solutions on the base of
values of its optical density or indices of pH change.
7.
0.1–0.5 ml of experimental water samples added into test-tubes (3 parallel).
Then it is necessary to add 1–2 ml of cholinesterase solution in borate
buffer. Mixture is incubated during 20 minutes under temperature 37°С. In
control test-tube add of distilled water instead of experimental solution.
After incubation 0.1 ml of bromine thymol blue indicator add into investi-
gational test-tube. After second incubation with acetylcholine (during 20
minutes) is determined optical density of solution with using of Spectro-
photometer SF-46 and cuvette in 0.5 cm thick. Investigational length of
wave is 680 nm.
Computation of cholinesterase change is produced by subtraction of
optical density or pH of experimental solutions from control value, which
are always greater, than with algae toxin.
On the base of calibration curve is calculated the quantity of toxin in
water by the formulae:
a V
V
1
.
V
2
where - Т toxin quantity in investigational water samples, mg/ml;
- a quantity of toxin on calibration curve, mg;
- V volume of investigated water sample, ml;
- V
1
– volume of water for determination of toxin, ml;
- V
2
– total volume of mixture for carrying out the reaction, ml.
Thus, reaction with cholinesterase may be used as express-reaction of
qualitative and quantitative estimation of toxin in water. Obtained information
allows to judge about water quality on different stages of its purification
or biological medium, which is used for cultivation of other hydrobionts.
in Natural Water
Т =
,
Qualitative Estimation of Cyanobacteria Toxic Compounds
METHOD FOR ESTIMATION OF CYANOBACTERIA TOXINS
243
However, above mentioned method isn’t suitable for quantitative estimation
of algae toxin for Cyanobacteria, which is accumulated in tissues of hydro-
bionts and animals. For these purposes using of immunological methods is
more perspective. With the help of specific antiserum, which is obtained by
toxin immunization (as example, for guinea-pigs), allows to receive reliable
and precise data about toxins concentration in water and other biological
objects, which may accumulate toxins in own organisms.
8. Conclusions
Algae toxin oppresses oxidative-restoration enzymes and cholinesterase,
increasing of aldolase activity under chronic poisoning. Destruction of car-
bonic and protein exchanges is consequence of enzyme activity changing. It
causes accumulation of unoxidated products of carbonic exchange, strength-
ening of ATP consumption and inhibition of its restoration. It has a negative
effect on energy balance of cells and causes pathologic changes in its func-
tional activity.
By this means action of Cyanobacteria toxic metabolites may be deter-
mined by inhibition of enzyme activity which catalyzes the different stages
of metabolism in organism. It was proved that Cyanobacteria toxins may be
regarded to enzyme poisons. Such method in algae toxins pharmacodynamics
is highly efficient because it combines a great group of toxic compounds
with different properties. It is evident that inactivation of enzyme systems
plays decisive role in pathogenesis of intoxication (Kirpenko, 1996).
–12
mg/l.
This biochemical method can be carried out in field conditions. The re-
striction of this biochemical method using can be promoted by strengthening
of destruction processes in cells. At these processes decomposition of algae
biomass are intensified considering that Phenols and heterocyclic amines
which are formed after destruction processes can oppress cholinesterase too.
In this case it is advantageous to use the complex estimation of the quali-
tative and quantitative content of Cyanobacteria toxins, supplemented bio-
chemical investigations by the performance of immunological tests.
Proportional biochemical methods for quantitative determination of
Cyanobacteria toxins by inhibition of cholinesterase reaction can be used for
mono- and mixed algae cultures. Toxicity is decreased under algae cultiva-
tion in algologically pure cultures. Conversely, toxicity is increased under
algae cultivation in mixed cultures. It was registered that toxicity may be
greatly increased after joint development of species-antagonists (for example
Microcystis and Aphanizomenon, Microcystis and Anabaena, Aphanizo-
menon and Anabaena). It was shown that sensitivity of this method achi-
eved to
10
L. A. SIRENKO AND T. V. PARSHYKOVA
244
References
Canter-Lund, H., Lund, J., 1995, Freshwater algae, their microscopic world explored.
Bristol: Biopress Ltd.
Carmichael, W.W., 1994, The Toxins of Cyanobacteria. Scientific American 270 (1): 78–86.
Carmichael, W.W., 1997, The Cyanotoxins. Adv. In Botan. Research 27: 211–256.
Harada, K., 1996, Chemistry and detection of microcystins. In Toxic Microcystis (Eds.
Watanabe, M., Harada, W., Carmichael, W., Fujiki, H). Boka Raton: CRC Press.
Kirpenko, Y. et al., 1976, Method of determination of Cyanobacteria toxin. Patent of USSR,
Kiev.
Kirpenko, Y.A. et al., 1977, Toxins of blue-green algae and animal organism. Kiev: Naukova
Dumka.
Kirpenko, Y., 1996, Biological-active algae compounds with antiblastomic and antimicrobial
action. Thesis of dissertation for obtaining the scientific degree (Dr. h. c.). Speciality –
Pharmacology. Kiev.
Malyarevskaya, A. et al., 1986, Determination of Cyanobacteria toxins in water and fish, dia-
gnostics of fishes poisoning during water “blooming”. Kiev: Institute of Hydrobiology
NAS of Ukraine.
Martin, D., Chatterjee, A., 1969, Isolation and characterization of a toxin from the Florida
Sirenko, L., Gavlilenko, M., 1978, Water “blooming” and eutrophycation. Kiev: Naukova
Dumka.
Sirenko, L., Kozitskaya, V., 1988, Biologically active substances of algae and water quality.
Kiev: Naukova Dumka.
Sirenko, L. et al., 1975, Methods of physiology-biochemical investigations of algae in
hydrobiological practice. Kiev: Naukova Dumka.
Sirenko, L. et al., 1995, Effect of metabolites of some species of algae on cell cultures of
human and animals. Algologia 5 (1): 102–105.
Sirenko, L. et al., 1997, Method of receiving of biological-active compounds with anti-
blastomic
,
antimicrobial and neurotropic action. Patent of Ukraine, Kiev.
red tide organisms. Nature 221 (5175): p.59.
METHOD FOR ESTIMATION OF CYANOBACTERIA TOXINS
245
USING OF LASER-DOPPLER SPECTROMETRY FOR
DETERMINATION OF TOXICITY DEGREE OF CHEMICAL
AND NATURAL COMPOUNDS
VITALIY VLASENKO
Institute of Bioorganic and Oil Chemistry NAS of Ukraine,
Murmanskaya st., 1, 02660, Kiev-94, Ukraine
TETYANA PARSHYKOVA* AND VADYM TRETYAKOV
Kiev National University named Taras Shevchenko,
Vladimirskaya st., 60, 01017, Kiev, Ukraine
Abstract: It is presented the results of using of laser-doppler spectrometry
method for estimation of toxicity level as well synthesized (on example,
K
2
Cr
2
O
7
) as natural biologically active substances (Emystime C). As the
test-objects had been used 3 species of Chlamydomonas: Chl. reinhardtii
Dang., Chl. aculeata Korschikoff in Parscher and Chl. pitchmannii Ettl. It is
shown the high sensitivity of laser-doppler spectrometry method and pers-
pectives of its using for determination of toxicity for different exometaboli-
tes caused by plants, mushrooms and microorganisms into environment.
Keywords: Laser-doppler spectrometry, microalgae, speed of movement, energy
1. Introduction
Changes of physiological reactions of plant and animal organisms are widely
used for studying of toxicity degrees in reservoirs and soils. The answering
reaction of living organisms (as well single-cells as multi-cells) conducts on
______
*To whom correspondence should be addressed. Tetiana Parshykova Kiev National University
named Taras Shevchenko, Volodymyrska st., 60, 01017, Kiev, Ukraine. Email: ladik1@voliacable.com
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 247
consumption, potassium dichromate, growth regulator
© Springer Science + Business Media B.V. 2008
cell level under influence of extreme factors of environment. In all pro-
bability mechanism of one-typical nonspecific answering reaction on the
impaired influence during evolution process in cells was elaborated.
Invertebrates (such as Daphnia magna Straus, infusoria Tetrahymena
pyriformis W.) and high water plants (such as Elodea canadensis
L., Vallisneria spiralis L.) very often used as the primary, non-expensive
and sensitivity test-objects. In the first case the mortality of infusoria or
dead of more than 50% of Daphnia from starting quantity (during 96 hours
exposition) comparison with control are estimated for water toxicity degree
(Braginskiy, L.P. et al., 1987). The speed of cytoplasm movement in cells
of high water plants is main physiological reaction for vital activity of
object (Smirnova and Sirenko 1993). It associated with that mobility of
intracellular structure is as well function of intensity of energy process that
caused in cell as characteristic of aggregative state of cytoplasm (its vis-
cosity). Considerable and short-term stimulation of oxidative-restoration
process with the generation of energy (for example, increasing of respi-
ration intensity) may be happen under the effect of individual toxic mix-
tures. This process results in increasing of cytoplasm movement, which
with time have drained the cell supply of energy and caused of its death. All
organisms may perish after blocking of photosynthetic processes.
The movement of green algae (such as Dunaliella salina Teod., D. viridis
L., Euglena gracilis Klebs, Pedinomonas tennuissima M., Chlamydomonas
reinhardtii Dang. and other) is of frequent use in biotesting of sea and
freshwater reservoirs among microscopic organisms (Barsanti and Gualtieri,
2006; Massjuk et al., 2007, Novikova et al., 2007). The reason is that
movement of living, nondestructive algae cells are connected with main
fundamental processes of vital activity of organisms such as photosynthesis,
energy transformation, transfer the compounds into membranous structure
of cell. Studying of movement cells has a direct relation to revealing of
general principles for regulation as well intracellular metabolism processes
as ontogenesis, embriogenesis and morphogenesis. Studies of peculiarities
of algae movement are definitely of interest for ecology and geography of
algae. In particular, outecology allow specifying characteristics of some
species concerning their reactions to considerable amount of parameters (for
example, reaction to light, temperature, content of cultural medium) and
determine optimum, maximum and minimum values of acting factors of
environment. It may help to estimate the toxicity of biology-active com-
pounds as well of experimental plants as other organisms which entering
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
248
into environment. In this connection the origination of demand in ela-
boration and using quick, sensitivity and reliable methods for estimation of
LASER-DOPPLER SPECTROMETRY
parameters and speed of movement of different algae species as the
test-objects.
The aim of our investigations was elucidation of possibility to using of
laser-doppler spectrometry (LDS) method for express-estimation of toxicity
degree of chemical and natural compounds.
2. Material and Methods
As the test-objects have been used algological and bacterial pure cultures
of mobile algae from Chlorophyta genus Chlamydomonas that were selec-
ted from freshwater biotopes: Chlamydomonas reinhardtii Dang. (from
collection of Oak Ridge National Laboratory, USA); Chl. Aculeate Kors-
chikoff in Parscher, Chl. pitchmannii Ettl. (from SAG collection from
University of Gettingen, Germany). The algae were grown in Erlenmeyer
retort with using of the similar cultural medium for different species of
Chlamydomonas (Sirenko et al., 2005) at temperature 20 rɋ and lighting
4500–5000 lux. Duration of light and dark periods were 12/12 hours. For
experiments have been used the cultures on the logarithmic and stationary
growth phase. There were two series of experiments for determination of
sensitivity of LDS method. Chemical and natural compounds that used in
industrial and biotechnological processes had been used in these experi-
ments.
Series 1. – K
2
Cr
2
O
7
was used as toxic compound. Using concentration
were 0.05; 15.0; 45.0 and 75.0 mg/l. Determination of experimental indices
of algae development were provided during 1, 7 and 14 days of cells contact
with potassium dichromate.
Series 2. – Growth regulator with wide spectrum of action (Emystime
C) had been used in this series. Emystime C is exometabolites of mushrooms-
epiphytes that were cultivated in root system of medical plant. Emystime C
added in concentration 0.005; 0.013; 0.025; 0.05; 0.1; 0.15 and 0.25 mg/ml
to cultural medium. Estimation of cell development indexes was provided
after 1, 2, 7, 14, 21 and 28 days.
Laser-Doppler Spectrometer (Vlasenko et al., 1992) produced by Molfar
Instruments was used for control of vital activity of test-object. Figure 1
shows a block diagram of information-measuring systems on the basis of
Laser-Doppler spectrometer. LDS makes it possible to estimate the speed of
cells motion (Pm/s), energy consumption for cells movement (relative
units), part of living and dead algae cells (%) as well as the reactions under
the effect of different groups of possible toxicants. 300–500 Pl of algae
suspension with cell concentration from 0.5 to 200 billion cells per 1 ml
249
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
were placed in a cuvette. Measurements for 1 sample lasted up to 3 minutes.
Measurement error does not exceed 3% for all parameters.
Changes of speed Chlamydomonas cells movement and its consump-
tion of energy had been proved in 10 times repetition. For this aim it was
Figure 1. Laser-doppler spectrometer.
registered averaged experimental data. Methodical aspects for procedure of
energy consumption by algae cells are presented in our last paper (Novikova
et al., 2007).
250
1. Electronic module of a network or autonomous power supply.
2. Laser-optical measuring module.
3. Multi-channel analog-digital signal converter.
4. Universal interface with auxiliary and other specialized measuring systems
of monitoring.
5. Computer.
6. Specialized software.
7. Channels of exchange and connection of a complex with standard networks.
2.1. Laser (He-Ne, 632.8nm). 2.2. Laser power supply unit. 2.3. Temperature-
2.5. Photodetector. 2.6. Electronic amplifier.
controlled zone of measurement. 2.4. Electronic control of thermal stability.
LASER-DOPPLER SPECTROMETRY
(Pm
3
) were calculated by suitable formulae (Parshykova et al., 2006) with
using of ocular-micrometer indices. Concentration of algae cells may be
estimated by LDS method (in relative units) too. It is necessary to pursued
calibration of laser-doppler spectrometer for receiving this parameter in
absolute units. With this aim used parameters must be received by hard
calculation of cell number with Goryaev chamber.
Control of algae pigment complex is carried out by chlorophyll a
content with using of extraction or non-extraction methods. For measure-
ment of pigment concentration by extraction (spectrophotometry) method
have been used Spectrophotometer SF-46 with regard to UNESCO work
group recommendation (Musienko et al., 2001). Method of differential
fluorimetry of native algae cells was used for non-extraction estimation of
pigment concentration. In these experiments have been used the Plancto-
fluorometer FL 300 3M, which was elaborated by specialists from Kras-
noyarsk State University (Gold et al., 1984, Gold et al., 1996). At parallel it
is determined the 'F indices which characterized by intensity of fluorescence
before and after addition of symazine as inhibitor of electron transport of
photosynthesized cells. 'F index characterizes the level of vital activity of
algae by magnitude of its potential photosynthetic activity (Parshykova
et al., 2001).
Methods of statistic analysis have been used for mathematical treatment
of receiving experimental data (Lapach et al., 2000). Conclusions were
formulated on the base of Student criterion with confidence probability
Ɋ = 0.95.
3. Results and Discussion
3.1. SERIES 1. CHEMICAL SYNTHESIZED REAGENT – K
2
CR
2
O
7
Receiving experimental data testifies that cells of different species of
Chlamydomonas differ by speed of cell movement and energy consumption
up to beginning of experiments. Cells of Chl. aculeata (52.60 r 3.87 Pm/s)
had the highest speed of movement in comparison with Chl. pitchmannii
(43.51 r 2.74 Pm/s) and Chl. reinhardtii (34.93 r ). Energy consum-
ptions for movement realization was higher in cells of Chl. aculeata (17.67
r 2.15 rel. units) in comparison with other objects (Chl. pitchmannii (6.51 r
0.68) and Chl. reinhardtii (3.61 r.2) (Figure 2).
251
Number of algae cells was defined with using of Goryaev chamber on
MBI-1 microscope. Size of cell surface (Pm
2
) and volume of microalgae
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
Figure 2. Initial (without addition of reagents) speed of cells motion and energy consum-
ption for different species of Chlamydomonas.
Different species of Chlamydomonas are specific by answer reaction
after 1 contact day with K
2
Cr
2
O
7
. Chl. aculeata cells had more resistance to
presence of K
2
Cr
2
O
7
in cultural medium (Figure 3). These cells don’t feel
toxicity of Cr (VI) that was in content of potassium dichromate. Speed of
Chl. aculeata cells motion was decreased only at maximal experimental
concentrations of K
2
Cr
2
O
7
(45 and 75 mg/l).
Figure 3. Effect of potassium dichromate on speed of motion and energy consumption for
Chlamydomonas aculeata cells.
The speed of cells motion is kept on the level of control for limit-
permissible concentration of K
2
Cr
2
O
7
(0.05 mg/l) after 14 day of contact.
The speed of cells movement to begin to decline at maximal experimental
concentrations 45 and 75 mg/l (on 28–34%). It testifies about increasing of
toxicity level of K
2
Cr
2
O
7
at rising of the contact time for Chlamydomonas
cells with toxicant. It is significantly that energy consumption for cells
motion was gradually reduced beginning with concentration of 15 mg/l after
1 day of contact with K
2
Cr
2
O
7
. It was noted that stimulation of energy
consumption of Chl. aculeata cells at more low concentration (0.05 mg/l)
252
LASER-DOPPLER SPECTROMETRY
after 14 days of contact in comparison with control. It testifies that algae
cells were sensitive to K
2
Cr
2
O
7
toxicity and increased the consumption of
energy on its movement. In this connection is good reason to believe that
mobility of algae cells can helps to survived under effect of unfavorable
chemical factors of water environment. It must be emphasized that such
protective mechanism can help in survive of microalgae cells only up to
fixed concentration of toxic compounds. In experimental cells had been regis-
tered sharp decreasing the consumption of energy on further increasing of
toxicant concentration. It may be connected with damaged of photoreceptor
apparatus under higher concentrations. We observed the similar reaction in Chl.
aculeata cells at concentration of K
2
Cr
2
O
7
15 mg/l after 14 days of contact. It
was registered the sharp decreasing the consumption of energy (at 88–91%
for concentrations 15 and 75 mg/l) under increasing of acting concentration
above 15 mg/l. It testifies about dying away of microscopic algae cells.
Chl. reinhardtii cells had medium degree by resistance of potassium
dichromate toxicity from experimental species of Chlamydomonas (Figure 4).
Cells of this species increased speed of movement beginning from con-
centration of 15 mg/l after 1-day contact with K
2
Cr
2
O
7
. The limit-permissible
concentration of K
2
Cr
2
O
7
don’t influence on speed of cells motion but
maximal experimental concentration (75 mg/l) makes Chl. reinhardtii cells
immovable after 1 days of contact. The speed of cells movement was per-
ceptibly decreased at concentrations 45 and 75 mg/l (in medium on 79–
85%) after 14 days of contact in comparison with control.
Figure 4. Changes in speed of motion and energy consumption for Chlamydomonas
reinhardtii cells under influence of K
2
Cr
2
O
7
.
The consumption of cell energy increased at rise of toxicant concentration
after 1 contact day with K
2
Cr
2
O
7
. It was registered the maximal increasing of
the consumption of cell energy for concentration of 45 mg/l (on 235%) in
comparison with control. Maximum experimental concentration (75 mg/l) is
appears lethal for Chl. reinhardtii cells under 1 contact day after addition of
K
2
Cr
2
O
7
into cultural medium. It was registered the successive decreasing
253
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
the consumption of energy on 20–91% at concentrations 0.05 and 75 mg/l
in comparison with control (Figure 4).
Chl. pitschmannii cells are the least resistance to presence of K
2
Cr
2
O
7
in
cultural medium (Figure 5).
Figure 5. Changes in speed of motion and energy consumption for Chlamy-domonas pitchmannii
cells under presence of different concentrations of potassium dichromate in cultural medium.
Algae cells of this species lost of mobility at concentrations of reagent
45 and 75 mg/l after 1 day of contact with potassium dichromate. It was
registered the increasing of speed of movement and the consumption of
energy under decreasing of K
2
Cr
2
O
7
concentration to 0.05 mg/l. It testifies
about its capacities to survive. It is interesting to note that at K
2
Cr
2
O
7
concentration 15 mg/l was registered the sharp increasing of speed of
movement (on 100%) after 1 contact day in comparison with control. Lethal
concentration of K
2
Cr
2
O
7
for Chl. pitchmannii cells was 45 mg/l after 1 day
of contact with it. It is noted that the consumption of energy for Chl.
pitchmannii cells at maximum experimental concentrations of K
2
Cr
2
O
7
were registered at level of 2.65–2.81 relative units. It testifies about possible
damage surface membrane – plasmalemme by K
2
Cr
2
O
7
. Such membrane is
found as well under hydroxyproline cell walls that are surrounded of Chlamy-
domonas cells as cover of filaments.
As illustrated of experimental data the least resistance to K
2
Cr
2
O
7
species of Chlamydomonas (Chl. reinhardtii and Chl. pitchmannii) had as
well less cells number in suspension as lower temps of quantity growth
(Table 1).
It is evident that biomass factor or total number of cells in liquid volume
is of considerable importance in determination of toxicity level of K
2
Cr
2
O
7
and changes of physiological state of algae. The greater is the biomass of
algae the feeble is inhibition influence of K
2
Cr
2
O
7
on the physiological state
of algae.
Obtaining experimental data connection with toxicant effect of photo-
synthesis productivity (Figure 6) and dynamic of photosynthetic pigments
content confirmed main conclusions that had been used with LDS method.
254
LASER-DOPPLER SPECTROMETRY
Levels of Chlamydomonas cells resistance to addition of K
2
Cr
2
O
7
into
cultural medium are arranged in the next order: Chl. aculeata > Chl.
reinhardtii > Chl. pitchmannii.
TABLE 1. Changes of cell number (mln. cells/ml) species of Chlamydomonas under
influence of different concentration of K
2
Cr
2
O
7.
Chl. aculeata
Variant of
experiment
initial 1 day later 14 days later
Control 3.87r0.26 6.60r0.45
0.05 mg/l 3.46r0.23 6.19r0.47
15 mg/l 5.43r0.39 2.31r0.16
15 mg/l 5.09r0.34 4.35r0.31
75 mg/l
3.61 r 0.28
3.98r0.29 3.62r0.28
Chl. reinhardtii
Variant of
experiment
initial 1 day later 14 days later
Control 1.02r0.09 1.19r0.11
0.05 mg/l 0.67r0.06 0.46r0.04
15 mg/l 0.84r0.08 0.80r0.07
15 mg/l 0.62r0.05 0.49r0.05
75 mg/l
1.01 r 0.08
0.60r0.06 0.46r0.04
Chl. pitchmannii
Variant of
experiment
initial 1 day later 14 days later
Control 0.82r0.06 0.85r0.09
0.05 mg/l 0.76r0.07 0.29r0.03
15 mg/l 0.52r0.05 0.41r0.04
15 mg/l 0.51r0.05 0.44r0.05
75 mg/l
0.82 r 0.07
0.45r0.04 0.31r0.03
By this means the complex using traditional (microscopic analyses and
spectrophotometry) methods of analyze for physiological state of micro-
algae and LDS method are supported the sensitivity of this method and
assurance of receiving information. It is significant that LDS is efficient
method for determination of species specificity of answer reaction for
different species of one microalgae genus.
255
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
3.2. SERIES 2. NATURAL GROWTH REGULATOR – EMYSTIME C.
Much attention is given to search and elaboration of effective growth
regulator of cells in connection with intensive development of algae bio-
technologies. In current time the practical choosing of growth regulator of
Figure 6. Influence of potassium dichromate on dynamics of chlorophyll a content for
different Chlamydomonas species: A – Chl. aculeata; B – Chl. reinhardtii; C – Chl.
pitchmannii.
microalgae in intensive cultivation isn’t large and limited by derivates of
E-indolylacetic acid, hyberillines, cytocynines and other very expensive
compounds. In this connection scientists carried out experiments in recei-
ving of natural phytohormone on the base of plants, mushrooms and micro-
organisms. LDS method had been used for express estimation of toxicity
and efficiency natural biologically active compounds.
256
LASER-DOPPLER SPECTROMETRY
It was shown that addition of Emystime C into cultural medium essen-
tially stimulated activity in cells motion (Figure 7). Stimulation effect was
of greater intensity than higher using concentration of Emystime C. It was
noted increasing of speed of cell movement and it’s the consumption of
energy during all time of observations.
Figure 7. Changes in speed and energy consumption for Chlamydomonas reinhardtii cells
under addition of Emystime C.
Changes the speed of test-object movement and increasing of its energy
consumption at first hours of contact the algae cell with growth regulator
which have been estimated by LDS method are supported by strengthening
of cultures growth by dynamic of chlorophyll a concentration. As illustrated
Figure 8 temps of chlorophyll a growth in experimental variants are
changed after addition of growth regulator into cultural medium. Then
chlorophyll a content rised at increases of duration of cells contact with
Emystime C and depends from its concentration.
Figure 8. Influence of Emystime C on chlorophyll a content and its photosynthetic activity.
Emystime C concentration of 0.005 mg/ml had maximal stimulation
effect on the dynamic of chlorophyll biosynthesis. The higher concentration
257
V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
didn’t demonstrate stimulation effect at first time. When duration of contact
time is increased higher concentrations had positive effect on chlorophyll
biosynthesis. Potential photosynthetic activity of algae ('F) changed too
under effect of Emystime C. The decline of 'F is registered at Emystime C
concentration of 0.25 mg/ml. This is due to the fact of increasing of optical
density for culture in experimental variants. The reason has to do the self-
shading cells in cultures and impairment of light regime.
Cells numbers of Emystime C for terms of optimal work of photoreactor
are tabulated in Table 2. Referring to it, cells number increasing and at 7
days was more than control on 47% for Emystime C at concentration of
0.005 mg/ml. Self-shading of cells have clearly defined on 28 day of contact of
test-object with growth regulator in laboratory experiments.
TABLE 2. Changes is cells number under influence of growth regulators.
Number of cells, mln/m l Variant of
experiment
initial 1 day later 2 days later 7 days later
Control 5.58 r 0.28 6.20 r 0.32 6.65 r 0.34
Emystime C
0.005 mg/ml 4.56 r 0.19 8.82 r 0.42 9.80 r 0.46
0.25 mg/ml
6.72 r0.35
4.50 r 0.18 4.78 r 0.21 5.02 r 0.22
Factor of self-shading is removed at mass (industrial) cultivation of
algae. The way to do this is through photobioreactor construction, intensity
of its lighting and regime of light delivery to algae suspension (for example,
by special optical fibers). Regular removal of algae biomass is of considerable
importance in elimination of self-shading. Considering that the main goal of
our investigations was possibilities of LDS method using we didn’t con-
ducted of regulation of self-shading of algae cultures.
Results of investigations are confirmed that natural growth regulator
Emystime C are influence positively on speed of cells movement for algae
test-cultures, its consumption of energy, the pace of chlorophyll a accumu-
lation and photosynthetic activity of organism. This suggests the possibility
of Emystime C at mass cultivation of algae.
4. Conclusions
By this means LDS method may be recommended for express estimation of
toxicity as well chemical synthesized as natural biological-active substances,
which are produced by microorganisms, plants and mushrooms into environ-
ment. LDS method may be used for biotesting investigations because makes it
258
LASER-DOPPLER SPECTROMETRY
possible receiving of spatiotemporal characteristic of unfavourable state of
water quality (for example, with the availability of water “blooming” spots,
caused by mass reproduction of toxic algae species) on the different parts of
water objects or in recervoirs as a whole. LDS method may be used for
operative revealing of local contamination sourses, for mapping zones of its
distribution and determination of more ecologically unfavourable part of
water area. It is evident that LDS method have the benefits in comparison
with other methods which using in for natural water monitoring.
LDS method with standard set of toxicants may be successfully used
control of sewage quality before it’s entering to water reservoirs by industrial
plants.
High sensitivity of LDS method makes possible to extend the range of
search for most perspective and selective acting of growth regulator for
microalgae and accelerates its choosing for practical using at mass
(industrial) algae cultivation. It is shown that addition of growth regulator in
special choosing concentration for every algae species into cultural medium
will increase temps of growth biomass and efficiency work of photobioreactors.
5. Acknowledgements
Authors are grateful to Prof. I. Yu. Kostikov for possibility to using
for experiments Chl. aculeata and Chl. pitchmannii cultures and PhD
S. P. Ponomarenko for help and useful suggestions with natural growth
regulators.
References
Barsanti, L., Gualtieri, P., 2006, Algae: anatomy, biochemistry and biotechnology. Boca
Raton: CRC.
Braginskiy, L.P., et al., 1987, Freshwater plankton in the toxic environment. Kiev: Naukova
Dumka.
Gold, V.M., et al., 1984, Theoretical basis and methods of fluorescence chlorophyll
studying. Krasnoyarsk: Krasnoyarsk univ.
Gold, V.M., et al., 1996; Assimilation activity of chlorophyll (theoretical and methodical
aspects). Biology of Internal Water 1: 24–32.
Lapach, S.N., et al., 2000, Statistical methods in medicobiological investigations with using
of EXCEL. Kiev: MORION.
Massjuk, N., et al., 2007, Photomovement of Dunaliella Teod. cells (Dunaliellales, Chloro-
phyceae, Viridiplantae). Kiev.
Musienko, N.N., et al., 2001, Spectrophotometric methods in practice of physiology,
biochemistry and ecology of plants. Kiev: Phytosociocentre.
Novikova, I.P., et al., 2007, Effect of K
2
Cr
2
O
7
on the photosynthetic activity and mobility of
Euglena gracilis Klebs cells. Algologia, 17 (3): 305–316.
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V. VLASENKO T. PARSHYKOVA AND V. TRETYAKOV
Parshykova, T.V., et al., 2001, Express-control of growth and physiological state of
microalgae. Algologia, 11 (3): 403–413.
Parshykova, T.V., et al., 2006, Determination of microalgae growth characteristics for
biominotoring realization. Kiev: Logos.
Smirnova, N.N., Sirenko, L.A., 1993, Cytophysiological method of express-estimation of
toxicity for natural water. Hydrobiological J. 29 (4): 95–101.
Sirenko, L.A., et al., 2005, Collection of living cultures of microalgae (acronym of collection
– HPDP). Kiev: Phytosociocentre.
Vlasenko, V.V., et al., 1992, Method of determination for toxic influence of chemical
compounds which entering in water environment on the culture of plankton hydrobionts.
Patent of Ukraine, Kiev.
260
PCR TECHNIQUES AS DIAGNOSTIC TOOLS FOR
THE IDENTIFICATION AND ENUMERATION OF TOXIC
MARINE PHYTOPLANKTON SPECIES
ANTONELLA PENNA*
Centro Biologia Ambientale, University of Urbino
“Carlo Bo”, Viale Trieste 296, 61100 Pesaro, Italy
LUCA GALLUZZI
Centro Biotecnologie, Fano Ateneo, University of Urbino
“Carlo Bo”, Via T. Campanella 1, 61039 Fano, Italy
for the rapid, specific and sensitive detection of target toxic microalgae
ther, a need to quantify species specific target HAB (Harmful Algal Bloom)
cells in natural assemblages avoiding the time consuming traditional methods
of the microscopy is basically required. Here, a brief review of the quail-
tative and quantitative PCR-based methods applied for the monitoring of
HAB species in field samples from the Mediterranean Sea is presented.
Keywords: HAB species, Mediterranean Sea, molecular techniques, PCR, primers,
1. Introduction
During these last decades numerous phylogenetic studies on marine phyto-
plankton at genus, species and population levels permitted to achieve rele-
vant information on the existing relationships among them. Most of these
______
*To whom correspondence should be addressed. Antonella Penna, Centro Biologia Ambientale,
University of Urbino, 61100 Pesaro, Italy. Email: antonella.penna@uniurb.it
have been developed and performed in many laboratories worldwide. Fur-
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 261
Abstract: Molecular based techniques applied to the marine environment
rRNA genes
© Springer Science + Business Media B.V. 2008
phylogenetic studies used the ribosomal genes (rRNA) that included a huge
sequence dataset useful to assess the genetic variability within the genes or
non coding regions to design oligonucleotide primers and/or probes taxon
specific for the HAB micro-organisms to be examined (Scholin et al., 1996;
Simon et al., 2000; John et al., 2005). The molecular assays for the identi-
fication of the toxic marine phytoplankton taxa are strictly related to the
level of genetic variability within a species or genus and/or a fine grouping
as among populations within a species. Molecular species is defined based
on the molecular divergence or accumulated mutations among single in-
dividuals or individual groups in selected coding or non coding regions of
nuclear and/or organelle genomes (Palumbi, 1992; 1994). This concept is
well visualized by a phylogenetic analysis where each clade is evolutionary
distinct also by its ancestor and descendent even if it may be not repro-
ductively isolated (Gosling, 1994; Avise, 1998). Another important consi-
deration has to be taken care on the molecular species concept applied to
the marine phytoplankton, as the potential conflict with the morphological spe-
ciation concept; based on several studies it well established that different
morphotypes of the Alexandrium tamarense species complex belong to the
same geographic ribotypes (Scholin et al., 1994; John et al., 2003); within
some diatom species of the genus Pseudo-nitzschia high genetic variation
was found among spatial and temporal series collected isolates (Orsini
et al., 2004; Evans et al., 2004; Lundholm et al., 2006).
Within the coding or non coding regions of the nuclear genome once
assessed the level of genetic variation at which the potential discrimination
of taxa (genus, species, toxic or no toxic isolates) have to be done, appro-
priate molecular markers can be selected and used in the molecular assay.
The choice of the molecular marker in these assays is of great importance
since it reflects species specific differences in polymorphism between popu-
lations of a species within its geographic range. In fact, the genetic probes
for Pseudo-nitzschia species designed from ribosomal gene sequences of
isolates collected over a limited geographical area did not match with iso-
lates of the same species elsewhere (Parson et al., 1999; Orsini et al., 2002).
The biodiversity in marine systems is higher respect to that of terrestrial and
freshwater ecosystems due to the high dispersal and great population sizes;
in fact, a large portion of species exists as a planktonic phase, and the
marine microorganisms are subjected to environmental factors responsible
of the species adaptive strategies (Avise, 1998; Feral, 200
2).
The harmful phytoplankton constitute a group that holds sanitary, eco-
logical and economic implications towards the coastal environments, the
262
A. PENNA AND L. GALLUZZI
human health and mariculture facilities due to the consequences of recurrent
harmful microalgal occurrences or blooms. The adverse effects of HABs
include toxin production, fish gill clogging, oxygen depletion with ipoxia or
anoxia events and unpleasant water quality.
2. Detection and Monitoring of HABs
The Harmful Algal Blooms are increasing worldwide (Graneli and Turner,
2007). This may be attributed to many reasons, including the increased utili-
zation of coastal waters for aquaculture, eutrophication and/or unusual clima-
tological conditions, the movement of resting cysts caused either by ships’
ballast waters or the translocation of shellfish stocks, overfishing and also
an increased scientific interest regarding harmful species. The design of har-
monized global detection and monitoring approaches is relevant and an
early warning system for detection of HAB species is needed. This effort
will be facilitated by the implementation of official monitoring procedures
using novel innovative technologies, including also molecular and toxin
detection. Molecular-based methods for detecting HAB species are used
routinely in many laboratories around the world. No single type of mole-
cular probe or assay strategy appears as the “best”. Indeed, some HAB
species can be detected using a variety of probes. The choice of probes/
techniques for a given species seems to follow personal references, tech-
nical background and available laboratory equipment. These innovative mole-
cular methods for detection and monitoring of HABs may be applied
together with traditional methods or constitute alternative methodologies to
traditional ones (Round Table Detection and Monitoring of HABs, XI Int.
Conf. Harmful Algal Blooms, Cape Town, 2004). Current methods depend
on microscopy, toxin and pigment analyses, which are time consuming and
require considerable expertise and skill. The molecular techniques present
many advantages including being more rapid, more specific at the species
and population level, may require a minor level of expertise in the routine
laboratory procedures respect to expertise needed to discriminate key mor-
phological features indicative of HAB species, and they can be applied in
the screening of numerous field samples (Anderson, 1995; Scholin et al.,
1999; Bowers et al., 2000; Penna and Magnani 2000; Litaker and Tester,
2002; Medlin et al., 2006).
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
263
DNA DirectTM Kit (Dynal, A.S., Oslo, Norway), DNeasy Plant Kit (Qiagen,
Valencia, CA, USA), Dinoflagellate Isolation Kit (Diatheva, Fano, Italy).
The efficiency of extraction and purification of genomic DNA from field
samples is relevant for the PCR-based assay when the target cells are at very
low concentration. The efficiency is related to the lysis process of cellular
compounds can be applied. Effects of inhibitors on PCR can be reduced by
adding bovine serum albumin (BSA) or dimetylsulphide (DMSO) to PCR
and sometime it is also useful to dilute the DNA template,.
4. PCR Techniques
To analyze the genetic variability it is necessary to select the appropriate
at the required hierarchical level (Hershkovitz and Lewis, 1996).
PCR amplification technique is fundamental for the genetic identify-
cation and characterization of microorganisms (Monis et al., 2005) and
widely used in many areas of research for cost and ease of use. In these last
decades, PCR based techniques were successfully employed for the gene-
tic characterization of many taxa of harmful phytoplankton species in the
marine environments (Bolch, 2001; Connell, 2002; Godhe et al., 2002; Vila
et al., 2005; Penna et al., 2007).
Primers are short synthetic oligonucleotides ranging between 10–30 (bp)
and containing 40–60% G/C content. They have to be complementary to
target sites on the template DNA. A list of essential requisites has to be
taken into consideration for the optimal primer design:
– a) primers should have G or C, or CG or GC at the 3’ termini to increase
the efficiency of priming;
3. Nucleic Acid Extraction
Genomic DNA of microalgal clonal cultures and field samples is extracted
and purified using a variety of commercial extraction kits as the Dynabeads
during the genomic DNA extractions otherwise the subsequent PCR reac-
humic acids, clays, heavy metals can act as inhibitory agents on the PCR
material and purification is based on the removing potential inhibitors and re-
reaction. These substances have to be eliminated from the sea-water samples
covering target DNA. The substances such as poly-phenols, poly-saccharides,
tions may be compromised. Several attempts to eliminate the effects of those
molecular technique and the DNA or RNA target regions that can discriminate
264
A. PENNA AND L. GALLUZZI
4.1. QUALITATIVE PCR AND OLIGONUCLEOTIDE PRIMER DESIGN
– d) cross dimers between sense and antisense primers should be avoided.
A 3’end cross dimer with a ¨G of –5 kcal/mol and an internal cross
dimer with a ¨G of –6 kcal/mol is tolerated (Fig. 2);
– e) melting temperatures (Tms) are preferred to be in the range of
52–58°C;
– f) primer annealing temperature (Ta) is the primer melting temperature
of the DNA-DNA hybrid stability. Too high Ta will give insufficient
primer-template hybridization resulting in low PCR product amounts.
Too low Ta can give aspecific products caused by a high number of
mismatches;
– g) optimal lengths of primers should be recommended in the range of
18–22 bp to avoid the missing of base or mistakes during the dNTP
incorporation;
– h) it should be avoided an imbalanced distribution of G/C and A/T rich
domains in the primers;
– i) the amplified product length for standard PCR can be in the range of
100–500 bp;
– l) primer can be located at the 5’ and 3’ ends, and generally the
sequence close to the 3’ end is known to show higher confidence and
preferred most frequently, because this is the end of the primer that is
extended by the DNA polymerase;
– m) primers have to be designed with high specificity in the target gene
to avoid cross homology with other DNA sequences in the PCR mix.
Commonly, primers are designed and sequences are analyzed in silico
using BLAST tool or others, to check for the specificity.
Primer design is achieved using software platforms such as Oligo
(www.oligo.com), CLCbio (www.clcbio.com), Primer Premier
(www.premierbiosoft.com/primerdesign/).
– b) self complementary as the formation of hairpins (secondary struc-
tures) inside the primer should be avoided. A 3’en d hairpin with a ¨G of
–2kcal/mol and an internal hairpin with ¨G of –3 kcal/mol is tolerated
(Fig. 1);
– c) the 3’-ends of primers should not be complementary to avoid primer
dimer formation;
The identification of harmful algal species is done using different genetic
markers coupled with molecular assays. Ribosomal RNA (rRNA) genes,
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
265
4.2. DESIGN OF PHYTOPLANKTON TAXON SPECIFIC PRIMERS
Figure 1. Hairpin formation.
Figure 2. Cross dimer formation.
Subunit), 5.8S, and the non-coding Internal Transcribed Spacer (ITS) and
External Transcribed Spacer (ETS) regions, are traditionally employed and
a huge sequence database for many phytoplankton taxa is currently available
in Genbank (http://www.ncbi.nlm.nih.gov/), EMBL (http://www.ebi.ac.uk/)
and DDBJ (http://www.ddbj.nig.ac.jp/). Ribosomal genes can cover a number
of addressed questions for the phytoplankton genetic diversity characteri-
zation (Guillou et al., 2002; John et al., 2005). In fact, conserved and vari-
able regions are present within ribosomal genes: highly conserved regions
such as SSU are preferentially used for the discrimination above species
level for taxonomy and phylogeny purposes (Edvardsen et al., 2003; Lange
et al., 2002); whereas, moderately conserved or variable regions such as
LSU and ITS, respectively, are used for the discrimination between species
including the SSU (Small Subunit), D1/D2/D3 regions of LSU (Large
for taxonomy, phylogeny and detection purposes (Adachi et al., 1996; Saito
et al., 2002; Sako et al., 2004; Penna et al., 2005a). A series of molecular
266
A. PENNA AND L. GALLUZZI
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
techniques are employed to investigate the genetic diversity at different
taxonomic levels (Table 1).
TABLE 1. Molecular techniques, marker and their application for the genetic characteri-
zation in marine phytoplankton.
Technique Marker Application Discrimination
level
Reference
RFLP (Restriction
Fragment Length
Polymorphism)
Variable
regions
Polymorphism study
of cleaved DNA
fragments
Among strains,
populations
Scholin et al.,
1994
AFLP (Amplified
Fragment Length
Polymorphism)
Variable
regions
Polymorphism study
of amplified and
cleaved DNA
fragments
Among strains,
populations
John et al., 2004
RAPD (Random
Amplified
Polymorphic DNA)
Variable
regions
Polymorphism study
of amplified DNA
fragments
Among strains,
populations
Bolch et al.,
1999
PCR and real time
PCR (Polymerase
Chain Reaction)
Target DNA
regions
Taxonomy,
Phylogeny,
diagnostic detection
Genus, species Godhe et al.,
2002; Galluzzi
et al. 2004;
Bowers et al.,
2000; Penna
et al., 2007
DGGE
(Denaturing
Gradient Gel
Electrophoresis)
Ribosomal
genes
Polymorphism study
of amplified DNA
fragments
Among strains,
populations
Van Hannen
et al., 1998;
Larsen et al.,
2001
TSA-FISH
(Tyramide Signal
Amplification-
Fluorescence
Hybridization)
Ribosomal
genes
Diagnostic detection Genus, species Miller and
Scholin, 2000;
Not et al., 2004
SHA (Sandwich
Hybridization
Assay)
Ribosomal
genes
Diagnostic detection Genus, species Scholin et al.,
1999; Tyrrell
et al., 2001
DNA ARRAY
with fluorescence
Ribosomal
genes
Diagnostic detection Taxon specific,
Genus, species
Metfies and
Medlin, 2004
Electrochemical
detection
Ribosomal
genes
Diagnostic detection Taxon specific,
Genus, species
Metfies and
Medlin, 2005
267
A. PENNA AND L. GALLUZZI
In particular, the target 5.8S rDNA and ITS regions are useful in
developing genus and species specific primers (Fig. 3); the high variable ITS1
and ITS2 regions together with the more conserved 5.8S rDNA sequences
proved robust among target genera and species, allowing discrimination of
the inter-specific variability in environmental samples containing mixed
phyto-plankton populations (Penna et al., 2007).
Figure 3. Harmful phytoplankton taxa oligonucleotide primer locations.
We report the design of genera and species-specific primers in the 5.8S
rDNA-ITS regions (Table 2). To design the couple of primers for each
specific taxon is essential carrying out the multiple alignments of the seve-
ral sequences within each species or genus. Sequence alignment can be done on
CLUSTAL W program (http://www.ebi.ac.uk/Tools/clustalw/).
A PCR based assay of natural samples always has to include a positive
control containing the plasmid cloned target fragment-taxon specific to test
that all reagents are working properly; a negative control with no DNA
added to test for the potential contamination of the PCR reagents with extra-
neous template DNA; and a spiked control containing known amount of
plasmid DNA added together with DNA of field samples to assess inhibit-
tion of the DNA polymerase caused by contaminants.
The PCR products are resolved on 1.8% (w/v) agarose gel, 0.5X TBE
(Tris/Borate/EDTA) buffer gel and are visualized by standard ethidium
bromide staining under UV light, along with a molecular weight standard.
The presence or absence of a appropriate size base pair band indicates if
specific harmful taxa are present in the sample.
268
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
TABLE 2. Oligonucleotide primers targeting the ITS-5.8S rDNA regions of different
Harmful Algal Bloom genera and species of the Mediterranean Sea*.
Target taxa Forward primer (5’– 3’) Size bp Primer location
Reverse primer (5’ – 3’)
Alexandrium spp. F’- GCAADGAATGTCTTAGCTCAA
R’- GCAMACCTTCAAGMATATCCC
135 5.8S (5’o3’)
5.8S (3’m5’)
Dinophysis spp. F’- GCACGCATCCAAYTATCCATAAC
R’-CATACAGACACCAACGCAGG
360 ITS1 (5’o3’)
5.8S (3’m5’)
Pseudo-nitzschia
spp.
F’-CGATACGTAATGCGAATTGCAA
R’-GTGGGATCCRCAGACACTCAGA
111 5.8S (5’o3’)
5.8S (3’m5’)
Ostreopsis spp.
F’-AAAACGATATGAAGAGTGCAGC
R’-CCAGGAGTATGCCTACATTCAA
92 5.8S (5’o3’)
5.8S (3’m5’)
A. catenella F’-AGCATGATTTGTTTTTCAAGC
R’-GCAMACCTTCAAGMATATCCC
226 ITS1 (5’o3’)
5.8S (3’m5’)
A. minutum F’-CATGCTGCTGTGTTGATGACC
R’-GCAMACCTTCAAGMATATCCC
212 ITS1 (5’o3’)
5.8S (3’m5’)
A. tamarense
F’- TGTTACTTGTACCTTTGGGA
R’- ACAACACCCAGGTTCAAT
134 5.8S (5’o3’)
ITS2 (3’m5’)
A. taylori F’-TGGTGTTTGAATGCGGTTGT
R’-GCAMACCTTCAAGMATATCCC
297 ITS1 (5’o3’)
5.8S (3’m5’)
Fibrocapsa
japonica
F’-GCAGAGTCCAGCGAGTCATCA
R’-TAATATCCCAGACCACGCCAGA
180 5.8S (5’o3’)
ITS2 (3’m5’)
Coolia monotis
F’-ATAAGTTCAACATGTGATGA
R’-CATATCTTCAAGCATATCC
121 5.8S (5’o3’)
5.8S (3’m5’)
Lingulodinium
polyedrum
F’-ATGTGTTCTCATCGGATGTTG
R’-CACAGTACCGCTGCCACTTAAA
383 ITS1 (5’o3’)
ITS2 (3’m5’)
Protoceratium
reticulatum
F’-TGCTGATTGCCATCTATCTT
R’-CAGAAGCGCGTTAAACAG
382 ITS1 (5’o3’)
ITS2 (3’m5’)
O. ovata
F’-CAATGCTCATGTCAATGATG
R’-CCAGGAGTATGCCTACATTCAA
210 ITS1 (5’o3’)
5.8S (3’m5’)
O. cf. siamensis F’-TGTTACCATTGCTGAGTTTG
R’-CCAGGAGTATGCCTACATTCAA
223 ITS1 (5’o3’)
5.8S (3’m5’)
Degenerate code D = A/G/T; M = A/C; Y = C/T; R = A/G
*modified from Penna et al. (2007)
5. PCR Detection Assay
Generally, once an assay is developed, it should be assessed using as many
related microorganisms as possible to test the specificity. Potential cross
269
A. PENNA AND L. GALLUZZI
when the assay is applied to natural populations in the seawaters. The other
important requisite is the range of sensitivity of a molecular assay; it is
relevant to assess the limit of detection for the assay especially when the
molecular method is compared with the traditional ones for the detection of
HAB phytoplankton species. In fact, the PCR based technique gave higher
positive detection of target species than microscopy methods; target phyto-
plankton cells can be detected in environmental samples containing mixed
phytoplankton population even at low cell concentration or below the detec-
tion limit of the microscopy and when the target taxon is not a dominant
component of the phytoplankton community (Galluzzi et al., 2004; Penna
et al., 2007).
As previously mentioned, the specificity of the primers is first evaluated in
silico using the BLAST tool. Then, the specificity can be assessed in vitro
by the PCR amplification of genomic DNAs purified from non target micro-
algal clonal strains together with target species of clonal cultures (Penna
et al., 2007). Afterwards, the primers specificity has to be tested in natural
seawater samples. The validation of taxon specific primers consists in the
absence of non-target genomic DNA fragment amplifications in all these
assays (Fig. 4).
Figure 4. Genus and species specific PCR based amplification assay. Genomic DNAs (1 ng)
of target HAB phytoplankton in the presence of non target background DNAs were ampli-
fied with specific primers for Lingulodinium polyedrum (1A), Protoceratium reticulatum
(2A), Fibrocapsa japonica (3A), O. ovata (4A), O. cf. siamensis (5A), Coolia monotis (6A).
L, size standards; lane A, genus or species specific PCR product; lane B, positive control
(103 copies of plasmid containing cloned amplified fragments of genus or species ITS-5.8S
rDNA); lane C, negative control containing mixed background DNAs of different clonal
culture samples (modified from Penna et al., 2007).
reactivity with other organisms in the sample should be also investigated
270
5.1. SPECIFICITY OF THE PCR BASED ASSAY
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
The sensitivity of the PCR assay can be tested spiking serial dilutions of
genomic DNA of target phytoplankton taxa, as 100, 10 and 1 pg of genomic
DNA, in the presence of background net seawater DNA and unrelated DNA
in the mixture. Further, the PCR sensitivity can be assessed using serial
dilutions of a plasmid containing the target sequence of the taxa to be exa-
mined, as 10
4
, 10
3
, 10
2
and 10 copies of plasmid DNA.
The PCR assay is usually sensitive enough to detect 10 copies of plas-
midic DNA and 1 pg of genomic DNA. The presence of background DNA
doesn’t affect the sensitivity of the PCR assay. A PCR sensitivity test using
genus and species-specific primers is illustrated in Fig. 5.
diluted from 104 to 10 copies per reaction tube. Genomic DNA of O. ovata CNR-D1 (A) and
A. tamarense CNR-ATA1 (B) are serially diluted from 100 pg to 1 pg with 25 ng of
background DNA of a net concentrated seawater sample and with 500 ng of background
DNA of human placenta. (e), genomic DNA of net seawater. (h), genomic DNA of human
placenta. (-) negative control with sterile water (modified from Penna et al., 2007).
Figure 5. Sensitivity of the PCR based amplification assay to target HAB genera and
species. Sensitivity of the PCR was tested both with plasmidic DNA containing the ITS-5.8S
rDNA and genomic DNA of the target genus and species. Plasmidic DNAs were serially
271
5.2. SENSITIVITY OF THE PCR BASED ASSAY
A. PENNA AND L. GALLUZZI
PCR amplifications were carried out on many lugol fixed natural seawater
samples collected along the coastal areas of the Mediterranean Sea, includ-
ing Italy, Spain and Greece, to detect the presence of the four potentially
HAB genera and ten species, as listed in Table 2. The bucked or net sea-
water samples contained mixed phytoplankton populations with target, pot-
entially HAB taxa ranging from amounts of 5.0 · 10
1
–1.0 · 10
3
of total
concentrated cells to bloom densities, such as 1.0 · 10
4
–1.0 · 10
6
of total
concentrated cells to be processed in the PCR assay. In other seawater sam-
ples, potentially HAB target cells were below the detection limit of light
microscopy (<10 cells L
–1
). Genomic DNAs purified from seawater samples
were promptly amplified by PCR using the genus and species – specific
primers. The PCR amplified fragments of expected size for each genus and
species were detectable in all samples examined containing the target taxa,
confirming the amplificability of the genomic DNA and the applicability of
the PCR based assay to environmental samples.
Furthermore, the PCR detection analyses were compared with micro-
scopy counts. The PCR analysis of potentially harmful phytoplankton taxa
gave positive results even when target cells were not observed in the field
samples using microscopic determinations. Further, the PCR based assay
allowed the identification of HAB species in seawater samples when un-
certain species-specific identification of cells was obtained by light micro-
scopy and calcofluor epifluorescence examinations.
PCR analyses were also applied to environmental samples containing benthic
and epiphytic assemblages of microalgae communities to detect the presence
of the two potentially toxic Ostreopsis species, O. ovata and O. cf. siamensis,
and C. monotis in different coastal areas of N Tyrrhenian, Ionian and
Catalan Seas. PCR analyses detected the presence of the genus Ostreopsis
in all examined samples, while O. cf. siamensis was present in in Tossa de
Mar (Catalan Sea, Spain) and Siracusa (Ionian Sea, Italy), and O. ovata was
detected in Genova (N Tyrrhenian Sea, Italy). These PCR detections were
in agreement with microscopy identification of the genus Ostreopsis, while
the identification at the species level was determined only by PCR analysis.
C. monotis was detected in Porto Torres (Italy) and Genova (Italy) field
samples in agreement with microscopy detections.
272
5.3. DETECTION OF POTENTIALLY HARMFUL PHYTOPLANKTON
GENERA AND SPECIES IN NATURAL SEAWATER SAMPLES
IN THE MEDITERRANEAN SEA
5.4. DETECTION OF POTENTIALLY HARMFUL MICRO-PHYTOBENTHOS
IN BENTHIC ASSEMBLAGES IN THE MEDITERRANEAN SEA
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
Molecular determinations by PCR based assay are always carried out to-
gether with microscopy analyses of the phytoplankton and microphyto-
benthos target taxa present in the natural samples. Harmful target genera
and species are indentified and counted under an inverted light microscope
at a magnification of x 200–400. Then, PCR detections of the target species
are compared with the microscopy analyses of the same natural samples.
Based on numerous environmental samples analyzed by PCR assay and
optical microscopy for different harmful taxa, the PCR based technique pro-
vide higher positive detection of target species than microscopic methods;
target cells can be detected in environmental samples containing mixed phy-
toplankton populations even at low cell concentration or below the detection
limit of the microscopy and when the target species is not a dominant com-
ponent of the natural plankton or phytobenthos community. These higher
frequencies of positive detection events are registered for all harmful taxa
examined until now (Fig. 6). The higher percentage of the qualitative detec-
tion of harmful taxa by PCR technique when compared to light microscopy
Figure 6 . Comparison of positive samples by PCR and microscopy methods for some HAB
taxa detection. Net seawater samples were collected along coastal sites of the Mediterranean
Sea during the period of 2002–2005.
273
5.5. COMPARISON OF THE PCR ANALYSES AND MICROSCOPIC
DETERMINATIONS
A. PENNA AND L. GALLUZZI
could depend on the different sample volume processed in both methods;
in the microscopic method only 5–10 ml of net sample was settled in the
counting chamber to avoid the overlapping of the target phytoplankton
cells; this limits the microscopic method to the processed volume of sample,
potentially loosing the effective target cell number to be counted when the
target harmful species are a minor component of the phytoplankton com-
munity. In the genomic DNA extraction, the entire net sample can be pro-
cessed, but only a small fraction is used as DNA template in the PCR
reaction. This can be balanced by the fact that the target sequence is usually
rDNA, which is expressed in multiple copies in the genome (Galluzzi et al.,
2004).
In the case of the microphytobenthos toxic species of Ostreopsis spp.,
the species-specific identification of O. ovata and O. cf. siamensis can be
confirmed only by the PCR analysis, due to the extreme variability of the
morphological and morphometric features within this genus (Penna et al.,
2005b).
6. Quantitative Real-time PCR
6.1. BASIC PRINCIPLE OF THE REAL-TIME PCR ASSAY
Quantitative real-time PCR is a very sensitive method, which has been used
in the last years to detect and quantify various phytoplankton species in
environmental samples (Bowers et al., 2000; Popels et al., 2003; Galluzzi
et al., 2004; Coyne et al., 2005). In the real-time PCR assay, a target gene is
amplified with specific primers and product formation is monitored after
each cycle (in real-time) by measuring a fluorescence signal. If the effici-
ency of the reaction remains constant, the increase in fluorescence observed
during the reaction will be proportional to the starting quantity of the target
molecule. The fluorescence can be generated by using an intercalating fluo-
rescent dye (e.g. SYBR Green) or a number of alternative probe systems
(e.g. TaqMan®, molecular beacons, etc.). The use of intercalating dyes is
the cheaper and simplest approach and consists in adding the fluorescent
dye directly to the PCR mixture. These dyes bind to double stranded DNA
and, following a conformational change, emit fluorescence (Fig. 7A). SYBR
Green-based assays are very sensitive, but it is noteworthy that any double
stranded DNA can be detected using this dye, including primer dimers or
non-specific amplified sequence, leading to false positive results. For this
reason, the primer’s specificity is crucial. Moreover, multiplexing is usually
not feasible.
274
The TaqMan® approach is based on the use of oligonucleotide probes
PCR amplification. The TaqMan® probe possess a fluorescent reporter dye
mity of these two dyes, the fluorescence of one (the reporter) is quenched by
loop structure by the annealing of complementary sequences at its 5’ and 3’
ends. The sequence in the loop is the sequence complementary to the target
region. Similar to the TaqMan® probe, a fluorophore and a quencher are
covalently linked at each end of the molecule. In the “closed” conformation,
fluorophore and quencher are into proximity and the fluorescent signal is
absent. When the probe loop anneals to its target sequence forming a probe-
target hybrid (with greater stability than the stem structure) the fluorophore
and the quencher are separated from each other and a fluorescent signal can
be observed (Fig. 7C). This signal is proportional to the amount of DNA
amplified.
The fluorescence signal, generated either by intercalating dyes or fluo-
rescent probes, is measured by the real-time PCR instrument at the end of
every cycle. The instrument also normalizes the fluorescence signal of the
Figure 7. Chemistries used in real-time PCR assays. A) SYBR Green molecules; B)
Taqman£ probe; C) Molecular beacons (see text for details). (from Galluzzi et al., 2007).
complementary to a sequence located between the two primers used for
Molecular beacons are oligonucleotide probes that can adopt a stem-
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
sion step of the PCR, the DNA polymerase (which possesses a 5’–3’ exonu-
degradation results in the separation of reporter from quencher and an increase
and a quencher dye conjugated at the 5’ and 3’ ends. Due to the close proxi-
in fluorescence emission can be observed (Fig. 7B). This approach is less sub-
ject to false positives than the intercalating dye method, but it is more expen-
the other through fluorescence resonance energy transfer. During the exten-
sive. Furthermore, it is possible to carry out multiplex PCR by choosing
cleolytic activity) encounters the bound TaqMan® probe and degrades it. This
appropriate fluorophores.
275
A. PENNA AND L. GALLUZZI
reporter dye by the fluorescence signal of the passive reference dye (ROX)
to obtain a ratio defined as the normalized reporter signal (Rn). The fact that
DNA amplification is measured in real-time inside the reaction tube makes
the method a “closed-system” and limits problems associated with carry-
over contaminations (Raoult et al., 2004).
The C
t
value (threshold cycle) is defined as the number of cycles
required for the fluorescence to cross a fixed threshold above the baseline.
Due to the fact that the increase in fluorescence and the starting amount of
the target molecule are strictly related, the amount of target sequence in an
unknown sample can be calculated by plotting its C
t
value on a standard
curve generated using the target sequence cloned into a plasmid, or using
the DNA extracted from a known number of cultured cells. When a plasmid
is used as a standard, it is essential to know the amount of target gene per
cell in order to allow the determination of the cell number in the field
sample. This implies certain work on laboratory cultures to optimize the
method for each target species or strain. An example of standard curve
generated with plasmid containing the target sequence is shown in Fig. 8.
Figure 8. A) Example of amplification plots for a standard curve generated with different
amounts of plasmid molecules (from 106 to 10 copies) containing the target sequence. The
cycle number is plotted vs the Delta Rn, which represents the normalized reporter signal
(Rn) minus the baseline signal established in the early PCR cycles. B) Calibration curve
plotting log starting copy number vs Ct. NTC, no template control; T, threshold (from
Galluzzi et al., 2004).
276
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
6.2. APPLICATIONS OF THE REAL-TIME PCR BASED ASSAY
Real-time PCR based assays have been developed for the monitoring of a
number of toxic phytoplankton species. Also, several real-time PCR proto-
cols have been optimized for the quantitative approach using different standard
curves (generated using plasmid dilutions or axenic cultures), different DNA
template preparation (purified DNA or cell lysates), different real-time PCR
chemistries (intercalating dyes or fluorescent probes), and different target
DNA sequences.
Recently, a real-time PCR assay based on the use of a TaqMan probe
has been developed for the specific detection and quantification of Crypto-
peridiniopsis brodyi (a Pfiesteria-like dinoflagellate) in environmental sam-
ples (Park et al., 2007). The assay has been developed against the ITS2
ribosomal DNA region. The choice of this variable rDNA region ensured
the species-specificity of the assay. This assay was used in conjunction with
the real-time PCR assays specific for Pfiesteria piscicida (Bowers et al.,
2000) and Pfiesteria shumwayae (Zhang et al., 2005) to investigate the
temporal variations of C. brodyi, P. piscicida, and P. shumwayae abundance
in a coastal region of Tasmania.
Several species of Alexandrium have been detected and quantified using
real-time PCR using either SYBR green or TaqMan chemistries. Assays
were developed for A. minutum (Galluzzi et al., 2004), A. fundyense
(Dhyrman et al., 2006), A. catenella (Hosoi-Tanabe and Sako, 2005) and
A. tamarense, both for vegetative cells (Hosoi-Tanabe and Sako, 2005) and
cysts (Kamikawa et al., 2005).
Other toxic species have been the objective of the real-time PCR-based
assay development: these include Aureococcus anophagefferens (Popels et al.,
2003), Karenia brevis (Casper et al., 2004), Cochlodinium polykrikoides,
Karenia mikimotoi, Heterocapsa circularisquama, Chattonella antiqua, C.
marina, C. ovata (Kamikawa et al., 2006), Heterosigma akashiwo (Coyne
et al., 2005; Kamikawa et al., 2006), Chattonella subsalsa (Coyne et al.,
2005) and Prymnesium parvum (Galluzzi et al., in press).
Real-time PCR multiplexing and multiprobing have also been investi-
gated. Handy et al. (2006) designed and evaluated a TaqMan®-based real-
time PCR assay for single tube detection of three raphidophyte species
(Chattonella cf. verruculosa, C. subsalsa and Heterosigma akashiwo). Envi-
ronmental samples containing these raphidophytes have shown to be success-
fully multiplexed or multiprobed with only minimal losses in sensitivity.
In principle, the real-time PCR technique can be applied to any
phytoplankton species having DNA sequence data available and informa-
tive at the species or strain level, so that primers and/or probes can be
277
A. PENNA AND L. GALLUZZI
designed. However, due to the possibility of variations of target gene
(mostly rRNA genes) copy number among different strains, and in order to
verify the primers specificity, the method needs to be tested and optimized
with the local phytoplankton population in a geographical area to be invest-
tigated.
The main advantages of the real-time PCR application in phytoplankton
monitoring concern specificity, sensitivity and applicability to preserved envi-
ronmental samples. Sample preservation is often necessary, but the use of
fixatives may cause the morphology distortion of some phytoplankton spe-
cies, making more difficult to distinguish them from closely related species
using a microscope. The development of a quantitative real-time PCR-
based assay may help to overcome this kind of problems. Moreover, the
general high sample throughput of this method may reduce working time
compared to the microscope-based methods.
Concerning the costs, the real-time PCR instruments are becoming to be
affordable also for small research groups and are now quite common in mole-
cular biology-equipped laboratories. Moreover, the consumable cost per
sample has been estimated in about $4.0 to $6.0 (Handy et al., 2006; Galluzzi
et al., in press) depending on the method/master mix/chemistry, which makes
Generally, only one species or strain at the time can be analyzed in a
quantitative approach, unless a multiplex reaction is performed. However,
although multiplexing and/or multiprobing are powerful tools for molecular
investigations of specific groups of toxic algae, their development and
validation can be difficult and expensive (Handy et al., 2006).
7. Conclusion
Based on different studies, the specificity, sensitivity and feasibility of the
PCR detection of several potential harmful phytoplankton taxa in environ-
mental samples have been demonstrated (Guillou et al., 2002; Godhe et al.,
2002; Connell, 2002; Galluzzi et al., 2005). In most of these studies the
molecular markers are the ribosomal genes as target regions for the primer
design. Further, the PCR method revealed higher detection efficiency than
microscopic analysis, giving the higher positive percentage values of noxious
target species presence in seawater samples and benthic assemblages.
PCR based technique coupled with quantitative real-time PCRs could
represent well set up methods for the detection of the phytoplankton
cells at the pre-bloom levels necessary to predict species-specific potential
bloom sites, to determine potential environmental factors that influence a
bloom, and to evaluate potential sources of species-specific low-level cell
the real-time PCR a potential affordable method for monitoring applications.
278
PCR TECHNIQUES AS DIAGNOSTIC TOOLS
inoculations through natural or anthropogenic transport mechanisms in
coastal seawaters.
Quantitative real-time PCR method is still at the developmental stage
and its application for monitoring of harmful algae requires validation in
the area to be investigated due to the possible variability in terms of target
gene copy number in different phytoplankton populations within the same
species.
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SENSORS
SONJA DIERCKS
1
*, KATJA METFIES
1
, FRIEDHELM
SCHRÖDER
1
, LINDA K. MEDLIN
2
AND FRANCISCUS
COLIJN
1
1
GKSS Research Centre Geesthacht GmbH,
Max`Planck-Street 1, 21502 Geesthacht, Germany
2
Alfred Wegener Institute for Polar and Marine Research,
Am Handelshafen 12, 27570 Bremerhaven, Germany
toxic algae was developed during the EU-project ALGADEC. Identification
of toxic algae is based on molecular probes that specifically target its rRNA.
17 taxon specific probe sets were developed for harmful algae that occur in
three different coastal areas in Europe. A sandwich-hybridization and two
labelled probes are used to detect the rRNA. A capture probe, immobilised
on the biosensor, binds to RNA-strands isolated from the target organism.
A second digoxigen-labelled probe binds also to the RNA-strands. After
incubation with an antibody-enzyme complex directed against digoxigenin,
a substrate is added and a redox-reaction takes place. The resulting elec-
trical current is measured and the amount of bound rRNA is proportional to
the electrical current. The adaptation to the sensor and the probe specificity
tests were done using laboratory strains with closely related species to avoid
false positives and to guarantee that only desired strains are detected. The
signals from the different probes are recorded by a microcontroller unit. If a
PC is connected to the system, an easy to operate software visualizes pro-
cess data, graphic results, and the measured values will be stored on the
hard disc. The main steps of the analysis process are executed automatically
in the measurement device. Only a manual filtering, including a lysis pro-
cedure has to be done before the automatic measurement. The portable
ALGADEC device is also capable to operate as a stand-alone system with
______
*To whom correspondence should be addressed. Sonja Diercks, GKSS Research Centre GmbH,
Max-Planck Street , 21502 Geesthacht, Germany. Email: sonja.diercks@awi.de
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 285
Abstract: A potential hand-held biosensor system for the in-situ analysis of
© Springer Science + Business Media B.V. 2008
S. DIERCKS ET AL.
build in keypad, display, power supply and memory card. In a new project,
the ALGADEC device shall be further automated, optimized and imple-
mented into a FerryBox system.
1. Introduction
Microalgae are the major producers of biomass and organic compounds in
the oceans because of their photosynthetic activity and they represent the
base of the aquatic food chain. About 5000 species of marine microalgae
are known to date (Sournia et al., 1991) and some 300 species can pro-
liferate in such high numbers that they discolour the surface of the sea
(Daranas et al., 2001; Hallegraeff, 2003) as a so-called bloom (Figure 1).
Figure 1. Bloom of Noctiluca scintillans in October 2002, Leigh, New Zealand (photo:
Miriam Godfrey)
A bloom is regarded as a sudden increase in the microalgal population
activated by suitable growth conditions so that concentrations of 10
4
–10
5
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Keywords: Biosensor, microalgae, ALGADEC, sandwich hybridisation, FerryBox
NUCLEIC ACID SENSORS
cells per liter can be reached for a certain period of time (Masó and Garces,
2006). A particular species or a group of species can dominate the bloom
(Masó and Garces, 2006). The proliferation of microalgae is a normal event
and can be beneficial for aquaculture and fisheries operations. However, it
can also have a negative effect if the bloom consists of harmful algae and
thus cause severe economic losses to aquaculture, fisheries and tourism
(Hallegraeff, 2003). About 200 noxious microalgal species and 97 toxic
species (mainly dinoflagellates) are known to have the potential to form
Harmful Algal Blooms (HABs) (Zingone and Enevoldsen, 2000; Moestrup,
2004). The impact of HABs is defined by the concentration of harmful
species, even the most toxic species must occur with a minimum cell con-
centration to exert a harmful effect (Zingone and Enevoldsen, 2000). HABs
have occurred throughout recorded history and are natural phenomena.
However, in the past decades, the public health and economic impacts
appear to have increased in frequency, intensity and geographic distribution
(Daranas et al., 2001; Hallegraeff, 2003). This can possibly be explained by
an increase of scientific awareness and by increased aquaculture. The
increase of fish and shellfish farming has been observed worldwide and
consequently, the reports of harmful algae and human illnesses rise. Addi-
tionally some algal blooms appear to be stimulated by eutrophication acti-
vated by domestic, industrial and agricultural wastes. Also, climatological
conditions can have an effect on the spatial distribution of a species.
1.1. AQUACULTURE AND HARMFUL ALGAL BLOOMS
Shellfish production and mariculture experience a worldwide expansion,
especially in the Asia-Pacific region where seafood products are consu-
med in large amounts. In Europe, Spain, France, Italy, Denmark and the
Netherlands are the main shellfish producers, with a total production of
about one million tonnes in 1997. In 1998, worldwide production of mari-
culture fish was about 0.7 million tonnes (Rensel and Whyte, 2003).
Shellfish, such as bivalve molluscs, gastropods, crabs and lobsters,
accumulate phycotoxins by direct filtration of the algal cells or by feeding
on contaminated organisms. Toxin accumulation rates as well as the rates of
toxin loss by filter-feeding shellfish from toxic algae are toxin- and species-
specific (Fernández et al., 2003). Consequently, the duration of market
closure depends on these rates. For example, in 1984, the Swedish mussel
industry was shutdown for almost a year because of DSP toxins (Hallegraeff,
2003) that resided in the mussels depurated at slow rate (Svensson and Förlin,
2004). High economic losses to aquaculture were caused by fish killing
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microalgae in the last decades. A massive bloom of Chrysochromulina
polylepsis occurred in 1988 in the Skagerrak, the Kattegat, the Belt and the
Sound between Denmark, Norway and Sweden and caused the deaths of
900 tonnes of fish, including cod, salmon and trout (Hallegraeff, 2003).
2. Monitoring of Phytoplankton
Monitoring programmes along the coastlines all around the world include,
in the majority of cases, a surveillance for potentially toxic algal species
(identification and quantification) and the monitoring of toxin content in
shellfish. HAB monitoring programmes, e.g., GEOHAB, aim to prevent
intoxication of humans and animals through the consumption of contamin-
ated seafood as well as the protection of humans from algal toxins delivered
via sea spray or direct contact. The damage of living resources, such as shell-
fish and fish, as well as the economic losses to fisherman, aquaculturists
and the tourist industry should be minimized (Andersen et al., 2003). In
addition, water temperature, salinity, nutrients, chlorophyll, water stratifica-
tion, current circulation and other parameters are also observed for bloom
prediction.
Microscope-based methods can identify and quantify microalgae at the
species or genus level. However, the identification of unicelluar algae re-
quires a broad taxonomic knowledge, because toxic and non-toxic strains
can belong to the same species and thus are morphologically identical (e.g.,
Alexandrium tamarense species complex, (John et al., 2005). Consequently,
an improved monitoring, rapid detection and enumeration of toxic algae is
crucial because monitoring methods based on light microscopy are time-
consuming and costly if many samples need to be processed. In the past
decade, a variety of molecular methods have been adapted for the detection
of harmful algae.
2.1. PROBE DEVELOPMENT
Molecular probes are widely applied for the identification of micro-organisms.
The small and the large subunit ribosomal RNA genes are the usual targets
for probes, because of their high target number in the cell. More or less
conserved regions in these genes make it possible to develop probes that are
specific at different taxonomic levels (Groben et al., 2004). Oligonucleotide
DNA probes have usually a length of 18-25 base pairs and can be designed
using the probe design option in ARB software package (Ludwig et al.,
2004). It is necessary that probe specificity is extensively tested to eliminate
false positives. The probes must be tested so that close phylogenetic
neighbours (clade tests) and probe neighbours (probe tests), who are species
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with close target sequence but who are phylogenetically unrelated do not
bind to the probe. Additionally, a BLAST search (Altschul et al., 1990)
should be conducted to test the overall specificity of the probes against all
publically available sequences not included in the ARB database.
Probes for several toxic algae (e.g., Alexandrium minutum and Gym-
nodinium catenatum) have been developed for the detection with sandwich
hybridization formats (Diercks et al., 2008c). Developed probes need a
regular review for their specificity, because new sequences are added to the
available online genetic databases daily. This cross check will help to
determine if there is any cross reactivity with other marine organisms.
2.2. SANDWICH HYBRIDIZATION
The principle of the sandwich hybridization (SHA) was described by Dunn
and Hassel, 1977; Zammatteo et al. (1995) and Rautio et al. (2003) (Dunn and
Hassel, 1977; Zammatteo et al., 1995; Rautio et al., 2003) and represents a
DNA probe-based method for rapid target identification that uses two
oligonucleotide probes targeting ribosomal RNA (rRNA). A capture probe
bound to a solid surface immobilizes the target ribosomal RNA and forms a
hybrid complex with a second signal probe (Figure 2). An antibody-enzyme
complex binds to the signal moiety of the signal probe and reacts with a
substrate forming an electrochemical current (Metfies et al., 2005) in case
of the biosensor.
Figure 2. Principle of sandwich hybridization.
3. Biosensor
Biochemical recognition with signal transduction for the detection of specific
molecules is combined on electrochemical biosensors. The detection com-
ponent (e.g., probe sequence, antibodies, enzymes) catalyzes a reaction with
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or specifically binds to the target of interest. A transducer component
transforms this detection event into a measurable signal such as an electrical
current.
Biosensor types comprise optical, bioluminescent, thermal, mass and
electrochemical recognition (Gau et al., 2005). A specific detection of tar-
gets in a complex sample is possible, as a result of this various sectors, such
as clinical diagnostic, environmental monitoring, biothreat detection and
forensics, apply single electrode sensors as well as arrays (Berganza et al.,
2006; Lermo et al., 2006; Taylor et al., 2006). Arrays of electrodes enable a
simultaneous detection of multiple species with different molecular probes
(Dock et al., 2005; Farabullini et al., 2007). The in-situ use of biosensors
circumvents the need to return samples into the laboratory and thus rapid
identification of aquatic microorganisms is possible. The identification of
microorganisms, as well as physical and chemical measurements of the
environment, are important for the understanding of coastal dynamics and
processes that can impact marine ecosystems, such as the introduction and
spreading of microbial pollutants and the initiation of HABs (Lagier et al.,
2005).
3.1. SINGLE ELECTRODE MEASURING DEVICE
A biosensor in combination with a hand held device was introduced by
Metfies et al. (2005). This first prototype was used in combination with sand-
wich hybridization for the detection and identification of the toxic dino-
flagellate Alexandrium ostenfeldii (Metfies et al., 2005). Metfies et al. (2005)
showed that the signal intensity is proportional to the rRNA concentration
applied to the sensor with a detection limit of ~100 ng/µL RNA for the first
prototype. A second prototype (Figure 3), the PalmSens (Palm Instruments,
Houten, Netherlands), has been extensively used to improve the biosensor
system (Diercks et al., 2008b). The protocols and electrochemical readings of
the measuring device are simple and easy to use, even for laypersons. Single
electrode sensors can be produced very cheaply and coated in advance of use
with capture probes. The long term storage of 12 months enables mass pro-
duction and introduction to the market (Diercks et al., 2008a).
The electrochemical detection method with the hand held device and
biosensors is a rapid method to detect toxic algae in a water sample. How-
ever, the method for the use of the prototypes for single electrode sensors
contains a lot of manual steps, such as the isolation of RNA from the algal
cells.
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Figure 3. Handheld PalmSens device from Palm Instruments.
The manual isolation of RNA is currently the limiting factor of the
system, because the concentration and quality of the RNA required is high.
Single electrode sensors can only detect one species per working electrode
and additionally a positive and a negative control has to be carried out. The
ribosomal RNA concentration per cell has to be determined for each target
species. Additionally, a calibration curve must be developed for each new
probe set in order to determine the signal intensity at different RNA concen-
trations. Using the obtained information on the curve, the electrical measure-
ment of the hand held device can be related to cell numbers, e.g., in field
samples.
3.2. MULTIPROBE CHIPS
As mentioned above, arrays of electrodes facilitate a simultaneous detection
of multiple species with different molecular probes. This system is bene-
ficial for the observation of phytoplankton communities, which consist of
different species. The temporal and spatial variability in species compo-
sition in the sea is substantial and therefore a simultaneous detection of multi-
ple species is important.
A system with two major parts was developed during the EU-project
ALGADEC: a multiprobe biosensor and semi-automated device (see chapter
3.3). The present multiprobe chip consists of a disposable ceramic sensor
chip with 16 gold electrodes (Figure 4) (Diercks et al., 2008a).
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Figure 4. Multiprobe chip with 16 gold working electrodes and gold stems.
This multiprobe chip can be used for the simultaneous detection of 14
different targets plus two controls and thus for the detection of species
compositions in harmful algal blooms. Signal transmission between the
electrodes was assessed and no tranmission was determined. This is an im-
portant attribute for the coating of the 16 working electrodes with different
species probes and false positive signals must be avoided (Diercks et al.,
2008a). Automated spotting of the multiprobe chips with DNA probes is
possible using a piezo spotter with image recognition. The automated spot-
ting will achieve a regular signal formation and increase the sensitivity of
the system.
The goal of ALGADEC was the detection of the different toxic algae
species in three different areas in Europe: Skagerrak in Norway, the Galician
coast in Spain and the area of the Orkney Islands in Scotland. Thus, probe
sets for different toxic algae (e.g., Alexandrium minutum, Pseudo-nitzschia
sp., Dinophysis sp.) have been developed and tested (Diercks et al., 2008c).
3.3. ALGADEC DEVICE
A portable semi-automated device was developed in the ALGADEC project
(Figure 5) (Diercks et al.). This device enables the electrochemical detec-
tion of toxic algae in less than two hours. The main steps of the probe to tar-
get hybridisation and analysis process are executed automatically in the
measurement device. A manual filtering and a lysis procedure has to be
done before the automatic measurement. And prior to measurement, the
one-way multiprobe chip has to be inserted into the flow cell unit.
The ALGADEC device contains reservoirs for antibody, substrate
and washing buffers. The signals from the different working electrodes
are recorded by a microcontroller unit whilst the electrochemical reaction
takes place on the chip. If a PC is connected to the system, an easy to operate
software (Figure 6) visualizes process data, graphic results, and the measured
values will be stored on the hard disc.
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Figure 5. Portable ALGADEC device in waterproof case.
Figure 6. Software of the ALGADEC device.
A flowchart visualizes the status of the valves and temperature of the
inlet and the hybridization chamber (Figure 7).
The device can be used by laypersons because of the development of a lysis
protocol that eliminates the need for manual RNA isolation. The multiprobe
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S. DIERCKS ET AL.
Figure 7. Flowchart for status visualization.
chip and the ALGADEC device can be used as a stand-alone system in the
field or aboard ships with build in keypad, display, power supply and
memory card. A waterproof case protects the system and allows the use
under heavy conditions.
4. Future Research
4.1. SYSTEM IMPROVEMENTS
The sensitivity of the system has to be optimised and the detection limit
must be reduced, because when a cell count of the toxic algal cells is reached,
then fisheries are closed. An inrease of sensitivity and regular signal formation
can be achieved by an automation of spotting of the multiprobe chips with
DNA probes. Thus, different DNA probes i.e., species can be spotted onto a
chip and area specific chips can be developed. 17 specific DNA probe sets
for toxic algae have already been developed (Diercks et al., 2008c) and new
probe sets for other toxic can be developed and need to be adapted to the
chips. Furthermore, the sensors must be calibrated for each DNA probe set
to allow a conversion of the electronic signal with the help of custom-made
software into the concentration of toxic cells.
The biosensor system can be simplified by an an automated water
sample filtration, because a manual filtering and a lysis procedure is still
required. However, with this adaptation it would be possible to integrate
this system into a buoy. Additionally the biosensor can be adapted to other
fields, e.g., medical diagnostics.
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4.2. IMPLEMENTATION OF THE BIOSENSORS INTO THE FERRYBOX
SYSTEM
The biosensor will be implemented into a FerryBox system at Helgoland in
the North Sea. The current “German FerryBox” consists of a fully auto-
mated flow-through system (Figure 8) with different sensors and automatic
analysers, e.g., water temperature, salinity, turbidity, dissolved oxygen, pH,
nutrients (ammonium, nitrate/nitrite, phosphate, silicate) and the algal on-
line analyser (Petersen et al.).
Figure 8. Flow chart of the FerryBox System.
The Algal online analyser (AOA, bbe-moldaenke, Germany) measures
the chlorophyll fluorescence of the main algal groups. Five different algal
groups are detected with the algal online analyser:
Chlorophyceae
Cyanophyceae
Bacillariophyceae
Dinophyceae
Cryptophyceae
However, it is not possible to differentiate Bacillariophyceae and
Dinophyceae (Figure 9) and to identify species.
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Figure 9. Relative chlorophyll fluorescence intensity of the different algal groups.
The biosensor system will be used to identify species or clades with the
help of clade level or species level probes. For this system reusable multi-
probe chips will be developed, so that the chip must not be changed and a
continuous flow through is possible. Thus, an automated screening of biodi-
versity and species composition during the course of the year will be possible.
5. Conclusions
A portable semi-automated device was developed in the EU project
ALGADEC that automatically processes the main steps of the probe to
target hybridisation and facilitates the electrochemical detection of toxic
algae in less than two hours. A multiprobe chip for the simultaneous detec-
tion of 16 different target molecules was developed. The multiprobe chip in
combination with the ALGADEC device is an autonomous and portable
system and thus can be used as a stand-alone system in the field and aboard
ships. Furthermore, the device can be used by layperson because a manual
RNA isolation is now no longer required. 17 probe sets for toxic algal
species were designed and can be used for the detection using the semi-
automated device and the multiprobe chips. The ALGADEC device will
contribute to monitoring programs to provide an early warning system for
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the aquaculture and tourist sectors who are most affected by toxic algal
blooms.
6. Acknowledgement
The authors would like to thank all partners from the EU-Project ALGADEC
for excellent cooperation and valuable discussions in the development of
the multiprobe chips and the ALGADEC device. Sonja Diercks was suppor-
ted by the EU-project ALGADEC (COOP-CT-2004-508435-ALGADEC)
of the 6th Framework Programme of the European Union and the Alfred
Wegener Institute for Polar and Marine Research.
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299
DEVELOPMENT OF SENSORS TO TRACE TOXINS FROM
DINOFLAGELLATES AND OTHER ALGAE TO SEAFOOD
PATRIZIA ALBERTANO*, ROBERTA CONGESTRI
Department of Biology University of Rome “Tor Vergata”
LAURA MICHELI, DANILA MOSCONE, GIUSEPPE
PALLESCHI
Department of Chemical Sciences and Technologies,
University of Rome “Tor Vergata” – Via della Ricerca
Scientifica, 00173 Rome, Italy
bined with various electrochemical detection systems is being developed to
quantify phycotoxins in algae and seafood. The use of disposable screen-
printed electrodes for the immunosensor development is illustrated. Labo-
ratory responses on contaminated mussels were obtained by domoic acid
and saxitoxin sensors with detection limit of 5 and 0.1 ng/ml respectively.
Application to algal extracts was also performed to detect domoic acid con-
centration in phytoplankton populations along Latium (Middle Tyrrhenian
Sea, Mediterranean Sea) coast.
1. Introduction
In recent years, marine food and environment resources have been
threatened worldwide by the massive development of several harmful
phytoplankton species which contaminate shellfish and other marine
______
*To whom correspondence should be addressed. Patrizia Albertano, Department of Biology,
University of Rome “Tor Vergata” – Via della Ricerca Scientifica, 00173 Rome, Italy. Email:
albertano@uniroma2.it
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 301
– Via della Ricerca Scientifica, 00173 Rome, Italy
Abstract: Sensor technology based on immunological ELISA analyses com-
Keywords: Phycotoxin traceability, domoic acid, saxitoxins, immunosensors
© Springer Science + Business Media B.V. 2008
P. ALBERTANO ET AL.
products causing animal mortality and severe human illness, and endangering
ecosystem quality (Zingone and Enevoldsen,
2000; Scholin et al., 2000;
Shumway et al., 2003;
Van Dolah et al., 2003
).
Increasing number of reports pointed to health risks connected to sea-
food consumption along Mediterranean coasts and lagoons (Taleb et al., 2001;
Vila et al., 2001; Turki, 2004; Blanco et al., 2005; Turki and Balti, 2005;
Illoul et al., 2007; Mikhail et al., 2007; Turki et al., 2007).
Blooms of Diarrhoeic Shellfish Poison (DSP) species are a common
phenomenon in the Adriatic and the Central-Southern Tyrrhenian Sea. Ex-
tended stretches of coast are frequently interested by the massive presence
of DSP algae (Dinophysis spp. and Phalachroma spp.) and most rarely by
Paralytic Shellfish Poison (PSP) producers (Ciminiello et al., 2000; Zingone
et al., 2006). On the contrary, PSP-producing Alexandrium spp. cause severe
problems in coastal areas of the Ionian (Giacobbe et al., 2004) and North
Adriatic Sea (Honsell et al., 1996). In addition, Gonyaulax spinifera, Lingu-
lodinium polyedrum and Protoceratium reticulatum have been recently
shown to be responsible of yessotoxin production and accumulation in
shellfish along North Adriatic coast (Ciminiello et al., 2003; Riccardi et al.,
2007), while pectenotoxins have been detected both in algae and mussels
(Draisci et al., 1999).
To understand the risk connected to the development of these harmful
algal blooms (HABs), the structure and dynamics of marine phytoplank-
ton has been recently assessed along Latium coast since 1997 to 2006
(Congestri et al., 2006). In this study 33 potentially toxic species, out of 374
microalgae present in the natural populations, have been identified with
light and electron microscopy (Fig. 1).
Sixteen thecate (Congestri et al., 2004a) and at least six naked dino-
flagellates were recorded together with six Pseudo-nitzschia species, the
latter being responsible for massive annual blooms (up to 10
7
cells l
–1
)
(Congestri et al., this volume). There were also sporadic brown tides due to
Fibrocapsa japonica intense growth during summer. Bloom periodicity and
cell abundances highlighted that spring and summer were the most critical
for toxicity events (Bianco et al., 2006).
Furthermore, recurrent summer blooms of the dinoflagellates Ostreopsis
ovata and Coolia monotis (Fig. 2) along with Prorocentrum lima started
to affect rocky, sheltered environments along Italian coast and promp-
ted monitoring of toxic microphytobenthos (HBABs) from 2003 (see www.
bentoxnet.it, Congestri et al., 2006; Ingarao et al., 2007). However, the produc-
tion of phycotoxins has being seldom recorded in phytoplankton communities
from the Central Mediterranean, and data on accumulation in mussels, fish
and other animals are still scarce (Azmil et al., 2003; Kaniou-Grigoriadou
et al., 2005).
302
IMMUNOSENSORS TO TRACE PHYCOTOXINS
Figure 1. SEM micrographs of Alexandrium minutum a, Lingulodinium polyedrum b,
Dinophysis caudata c, D. sacculus d, Prorocentrum minimum g and P. lima h, LM
micrographs of Dinophysis rotundata e, D. fortii f, Akashiwo sanguinea i, Karenia cf.
bicuneiformis l, K. cf. mikimotoi m, K. cf. papilionacea n. Late spring-summer occurrence of
these species was observed along Latium coasts, distribution was patchy and densities never
exceeded 10
5
cell l
–1
. Highest abundances were recorded for Alexandrium minutum (9.3 ×
10
4
cell l
–1
) at one station in May 2005, while at the same site Lingulodinium polyedrum
peaked in June (5.8 × 10
4
cell l
–1
), Dinophysis spp. had low densities, D. caudata showed
maximum values (2.3 × 10
4
cell l
–1
) in July 2003, and other species were present with
densities around 10
2
cell l
–1
. Among unarmoured taxa Karenia cf. mikimotoi had the highest
abundances (4.6 × 10
4
cell l
–1
) in May 2004 at a southern site. Bars = 4 Pm (g); 5 Pm (a); 10
Pm (b, h, i, l, m, n); 20 Pm (d, e, f); 50 Pm (c).
Figure 2. Mucilaginous benthic aggregates mostly comprising of Ostreopsis ovata (up to
7.5 × 105 cell g-1 fresh weight, 5 × 105 cell l-1) (a, c) and Coolia monotis (b, d), present
with lower densities, developed on living organisms (c) and rocky substrates (c) regularly
from 1999 to 2006 in the southern Latium coast. The first bloom event also coincided with
mass mortality of zoobenthos. Using LC-MS/MS methods a palytoxin analogue was detected
in mucous aggregates dominated by Ostreopsis ovata. Bars = 10Pm (b, d, e, f, g); 30 Pm (c).
303
P. ALBERTANO ET AL.
To face the very high risk of seafood toxicity, fast analytical procedures
based on the use of electrochemical disposable immunosensors for the
detection of phycotoxins were recently developed and applied directly in
shellfish samples following easy extraction procedures (Palleschi et al.,
2003, Micheli et al., 2004). Analogous approach was developed to quantify
toxins in algae (Micheli et al., 2003). These studies mostly focused on
domoic acid (DA) and saxitoxin (STX). DA is a potent water-soluble acidic
amino acid neurotoxin that causes the human Amnesic Shellfish Poisoning
(ASP) syndrome, while the water-soluble and thermostable tetrahydropurine
compound STX is responsible of the Paralytic Shellfish Poisoning (PSPs).
These toxins accumulate in the digestive glands of shellfish without causing
any apparent toxic effect on the molluscs. Conversely, human consumption
of a sufficient amount of seafood contaminated by DA and STX (both
odourless and tasteless) can result in mild to severe neurological symptoms
and in rare cases, death.
2. Methodological Approach and Results
The construction of electrochemical immunosensors coupled to elec-
trochemical techniques as differential pulse voltammetry (DPV) and chro-
noamperometry for the detection of DA and STX in algal and seafood
extracts is illustrated.
The analysis involves the use of disposable screen-printed electrodes
(SPEs) for the immunosensor development based on a “competitive test”
(Friguet et al., 1985). The support of the immunochemical chain was the
screen-printed electrode (SPE) (Fig. 3), produced by a thick-film technology
that combines the easiness of use and portability with simple and inexpen-
sive fabrication techniques. Application of the immunoelectro-chemical
ELISA (immunosensor), allows the selectivity of immunological analysis to
be combined with the sensitivity of the electrochemical detection (Del Carlo
et al., 1997; Santandreu et al., 1998; Warsinke et al., 2000).
In the case of domoic acid, the toxin was conjugated to bovine serum
albumin (BSA-DA) and coated onto the SPE. Incubation with the sample
(or standard toxin) and the anti-DA antibody followed (Fig. 4A). An anti-
goat IgG-alkaline phosphatase conjugate was used for signal generation,
measured with DPV. For the detection of STX, the “direct format” (Fig. 4B)
was used with the immobilisation of the primary antibody (against the toxin)
onto the electrode and the competition between the free (STX) and labeled
toxin with enzyme (STX-HRP) was then carried out. The enzymatic product
was detected by Chronoamperometry.
304
IMMUNOSENSORS TO TRACE PHYCOTOXINS
Figure 3. Screen-printed electrode with PalmSens, portable electrochemical instrumentation.
Figure 4. Schemes of indirect A and direct B competitive ELISA formats used for SPE-
immununosensors.
DA results showed a detection limit of 5 ng/mL with a working range
between 5–70 ng/mL of DA (Fig. 5A), while a detection limit of 0.1 ng/mL
and a working range of 0.1–10
3
ng/mL was obtained for STX (Fig. 5B).
The suitability of the assays for the quantification of these toxins in
mussels was also evaluated. Samples were spiked with toxin standard
before and after the sample treatment to study the extraction efficiency and
the matrix effect, respectively. After treatment, samples were analysed at
1:1000 v/v dilution in PBS for STX and 1:250 v/v in PBS-M (phosphate
saline buffer pH 7.4 + CH
3
OH 10%) for DA to minimize the matrix effect
and to detect the regulatory limit for both toxins in mussels as given by the
Food and Drug Administration (www.fda.org, Compliance Programme
7303.842, Guidance Levels, Table 3, p. 248).
The reliability of the immunoassays for the determination of the DA and
STX in spiked samples was demonstrated by comparison of the data with
305
the fully validated confirmatory HPLC results (Micheli et al., 2004). Very
P. ALBERTANO ET AL.
70 ng/ml) B.
suitability of the proposed assays for accurate determination of the both
toxin concentrations in mussel samples.
2.1. APPLICATION TO ALGAE
The method for DA was adjusted to test natural algal matrices. Extracts
were obtained from net samples collected fortnightly during one year at
six stations along Latium (Italy) coast, and analysed by using SPEs immu-
nosensors and HPLC. About 22% of samples were positive for DA and
results of the two assays showed a RE = ± 20% (Micheli et al., 2003).
Countings at the species level in surface water samples allowed to put in
relation high abundance of Pseudo-nitzschia spp. to the summer peaks of
DA observed at some stations (Congestri et al., 2004b).
3. Conclusions
Bloom events of toxic algal species may result in extensive and unpre-
cedented closures of shellfish harvesting areas to prevent poisoning syndromes
in human consumers. Karenia and Ostreopsis blooms may affect residents
in coastal areas by inducing respiratory irritation in beach-goers. Bacterial
decomposition of dead animals and algal cells may cause anoxia of bottom
water, which may spiral into multiple species unusual mortality events in
thousand square-miles of sea-bottom. Preliminary estimates of the eco-
nomic impact due to HABs along US coasts accounted for more than 80
good recoveries (90–110%) were obtained for both toxin, demonstrating the
Figure 5. Calibration curves of SPE-immunosensors for DA (5 ng/ml) A and STX (5–
306
IMMUNOSENSORS TO TRACE PHYCOTOXINS
million dollars per year in 1987–2000. These estimates included public
health costs of illness (45%), lost revenues of commercial fisheries (46%),
local recreation and tourism impacts (5%), and coastal monitoring and
management expenditure (4%) (Jewett et al., 2007).
Furthermore, the worldwide increase in coastal algal blooms is currently
regarded as one of the first biological signs of global warming of ocean waters,
thus continuous monitoring activities will be crucial for the understanding of
aquatic processes and climate change.
In this scenario, environmentally sound techniques to reduce HABs
impacts should be based on effective methodologies for rapid field detec-
tion of phycotoxins to develop early warning systems, response plans, and
methods to reduce public health, ecological, social, and economic impacts
of HABs.
There is, therefore, a critical need for cost-effective and user-friendly
monitoring tools that can be used by tribes, local environmental groups, and
state agencies to monitor toxins concentrations.
Competitive immunoassays for DA and STX are indeed a functional
strategy useful to support surveillance activities of both phytoplankton and
seafood. The rapid and accurate identification of phycotoxins in a working
range that is comparable to that of conventional methods and the detection
limit suitable for “on-site” monitoring allow successful application on algae
and mussel matrices. Electrochemical SPE-immunosensors may presently
contribute to the development of early warning protocols for routine app-
lication. Further studies on different animal matrices might reveal the fate
of phycotoxins and their amplification along the whole food chain and thus
contribute to assess the extent of the impact of toxic bloom events on
environmental and human health.
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microalgae from coastal waters of the Campania region (Tyrrhenian Sea, Mediterranean
310
Sea), H armful Algae 5: 321–337.
RECOMBINANT FORMALDEHYDE DEHYDROGENASE
AND GENE-ENGINEERED METHYLOTROPHIC YEASTS
AS BIOANALITYCAL INSTRUMENTS FOR ASSAY OF TOXIC
FORMALDEHYDE
GALYNA GAYDA, OLHA DEMKIV, ɆYKHAILO
GONCHAR*
Institute of Cell Biology, NAS of Ukraine, Drahomanov Str.
14/16, 79005 Lviv, Ukraine;
SOLOMIYA PARYZHAK
Ivan Franko National University of Lviv, Hrushevs’kyi Str. 4,
79005 Lviv, Ukraine;
WOLFGANG SCHUHMANN
Ruhr-Universität, Universitätsstr. 150, D-44780, Bochum,
Germany
polymorpha strains NCYC 495 and CȼS 4732, resistent to elevated con-
centrations of formaldehyde in a medium (up to 15–20 mM) and over-
producing a homologous NAD- and glutathione-dependent form-aldehyde
dehydrogenase, were constructed. Optimal cultivation conditions for the
highest yield of the enzyme were established. A simple scheme for the iso-
lation of formaldehyde dehydrogenase from the re-combinant strains was
proposed, and some characteristics of the purified enzyme were studied.
Enzymatic and biosensoric methods for formaldehyde assay based on the
formaldehyde dehydrogenase and the constructed recombinant cells were
developed. The reliability of the developed analytical approaches was tested
on real samples of waste waters, pharmaceuticals, formaldehyde-containing
industrial products, and vaccines. The comparison of formaldehyde content
values obtained by the use of biosensors (enzyme and cells-based), enzymatic
______
*To whom correspondence should be addressed. Ɇykhailo Gonchar, Analytical Biotechnology Dept.,
Institute of Cell Biology, Drahomanov Str. 14/16, 79005 Lviv, Ukraine. Email: gonchar@cellbiol.lviv.ua,
myg52@yahoo.com
V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection. 311
Abstract: Recombinant yeast clones, originated from the recipient Hansenula
© Springer Science + Business Media B.V. 2008
G. GAYDA ET AL.
methods and two routinely used chemical ones (chromotropic acid and
3-methyl-2-benzothiazolinone hydrazone) showed a good correlation bet-
ween these approaches.
Keywords: Yeast Hansenula polymorpha (Pichia angusta), gene engineering,
1. Introduction
Formaldehyde (FA), extremely toxic agent, is found in more than 2000
commercial products. This compound is widely used as building block for
the synthesis of many organic chemicals and materials, for example, phenol-,
urea- and melamines-derived polymeric resins. Humans are exposed to FA
from a variety of sources. The major source of atmospheric FA is related to
combustion processes – forest fires, automobile exhaust, photooxidation of
hydrocarbons. In water, FA is also formed by the irradiation of humus
substances by sunlight (Liteplo et al., 2002; National Research Council,
1982). Additional exposure to FA emissions comes from its use as an
embalming fluid in anatomy labs, morgues, and its use as a fumigant and
sterilant (Liteplo et al., 2002). FA is used as a preservative in the pro-
duction of vaccines instead of harmful merthiolate that can cause neuro-
developmental disorders including autism and autism spectrum disorders
(Offit and Jew, 2007; Geier and Geier, 2004), in the production of different
consumer goods: detergents, soaps, and shampoos (Gerberich and Seaman,
1994). Resin treated fabric, rugs, paper, etc. and materials such as particle
board and plywood which contain resin adhesives and foam insulation
release FA which may build up in homes and occupational atmospheres
(Liteplo et al., 2002; National Research Council, 1982). Recently, a new
health risk factor associated with FA has been revealed. Some advanced
technologies of potable water pre-treatment include the ozonation process
during which FA is generated as a result of reaction of ozone with humus
traces (Schechter and Singer, 1995). At the same time, FA is a natural
metabolite of all living organisms. It has been found in fruits, vegetables,
flesh, and biological fluids of human origin (Gerberich and Seaman, 1994).
In extreme cases, some frozen fish, especially of Gadoid species, can
accumulate up to 200 mg of FA per 1 kg of wet weight due to the enzymatic
degradation of a natural fish component – trimethylamine oxide (Rehbein,
1995; Pavlishko et al., 2003).
FA is emitted by bacteria, algae, plankton (Liteplo et al., 2002). Data on
the aquatic toxicity of FA are numerous. The most sensitive aquatic effects
identified were observed for marine algae. FA concentration of 0.1 and 1
312
formaldehyde dehydrogenase, enzymatic assay, biosensor, formaldehyde
FORMALDEHYDE ASSAY
mg/L in water caused 40–50% mortality after 96 h in day-old zygotes of
Phyllospora comosa, a brown marine macroalgae endemic to south-eastern
Australia. Total (100%) mortality resulted from exposures to 100 mg/L for
24 h and 10 mg/L for 96 h. The 96h no-observed-effect concentration and
lowest-observed-effect concentration of 7-day-old embryos of the same
species were reported as 1 and 10 mg/L, respectively, indicating that older
organisms are more tolerant to FA. Concentrations of 0.1, 1, and 10 mg/L
also reduced germination and growth rates of the zygotes and embryos.
Freshwater algae may be slightly more tolerant of FA, based on a cell
multiplication inhibition test. The toxicity threshold was 0.9 mg FA/L. The
toxicity of FA for fish is also variable: the most sensitive freshwater fish
were fingerlings of striped bass Roccus saxatilis (Liteplo et al., 2002).
FA has a negative influence on human’s health, especially on the central
nervous, blood and immune systems. It is a potent nasal irritant, causes
stunted growth, blindness and respiratory diseases. Release of FA vapors
in mobile homes has been associated with headache and pulmonary and
dermal irritation (Ellenhorn and Barceloux, 1988). The relation of chronic
respiratory symptoms and pulmonary function to FA in homes was studied
in a sample of 298 children (6–15 years of age) and 613 adults. The permissible
level of FA in industrial areas is set to 0.5–2.0 ppm. Significantly greater
prevalence rates of asthma and chronic bronchitis were found in children
from houses with FA levels 60–120 ppb than in those less exposed, especially
in children also exposed to environmental tobacco smoke. In children, levels
of peak expiratory flow rates decreased linearly with FA exposure, with the
estimated decrease due to 60 ppb of FA equivalent to 22% of peak expi-
ratory flow rates level in nonexposed children. The effects in asthmatic
children exposed to FA below 50 ppb were greater than in healthy ones. The
effects in adults were less evident: decrements in peak expiratory flow rates due
to FA over 40 ppb were seen only in the morning, and mainly in smokers.
FA is classified as a mutagen and possible human carcinogen (Feron
et al., 1991), one of the chemical mediators of apoptosis. These consi-
derations are sufficient to demonstrate the necessity for FA control in con-
sumer goods, environment, as well as in biological samples. Control of
pollutants and toxic compounds is of great importance for all countries, and
such control requires the development of simple, cheap, sensitive, and selec-
tive methods for FA analysis. Among them, enzymatic and biosensor-based
approaches are the most promising due to high selectivity and sensitivity.
The existing enzymatic methods for FA assay are laborious, not enough
selective and specific, and the corresponding kits are still unavailable at the
world market place (Ho and Richards, 1990; Patent, 2002). Recently, we
have described the fabrication and properties of a reagentless bienzyme
amperometric biosensor based on alcohol oxidase/peroxidase in combination
313
G. GAYDA ET AL.
with an Os-complex modified electro-deposition paint (Smutok et al., 2005).
Although the developed biosensor showed good sensitivity for the detection
of FA, the poor selectivity of the used biological recognition element,
alcohol oxidase, application of these sensors is limited.
To solve this problem, we have developed new analytical approaches for
FA assay based on NAD
+
- and glutathione-dependent formaldehyde dehydro-
genase (FdDH) isolated from recombinant yeast cells-overproducing FdDH.
FdDH, a key enzyme of FA metabolism in microorganisms, is proposed
to be used for bioanalytical purposes (Ben Ali et al., 2006). The broad use
of FdDH in analytical practice is hampered by insufficient activity of the
commercial preparations of the enzyme from Pseudomonas putida and
Candida boidinii, as well as by relatively high costs of the enzymes’
preparations isolated from the wild type strains (Sigma-Aldrich Catalogue,
2007).
In this paper, we describe:
construction of the recombinant yeast strains, originated from the reci-
pient thermotolerant methylotrophic yeast Hansenula polymorpha, over-
producing a homologous thermostable FdDH;
optimization of the cultivation conditions for the gene-engineered strains,
the procedure of enzyme isolation from the recombinant cells, some
characteristics of the purified FdDH;
development of enzymatic FdDH-based approach for FA assay;
development of biosensoric methods for FA assay, based on the use of
the recombinant FdDH and gene-engineered yeast cells over-producing
this enzyme;
comparison of the developed bioanalytic approaches, namely bio-sensoric
(FdDH- and cells-based) and enzymatic ones, with standard chemical
methods for FA assay in real samples: wastewater, some industrial goods,
pharmaceuticals, and vaccines.
2. Materials and Methods
2.1.
MICROBIAL STRAINS, MEDIA, CULTIVATION CONDITIONS,
AND PREPARATION OF CELL-FREE EXTRACTS
The following strains were used in the present study: Hansenula polymorpha
356 (leu2) line DL1, H. ɪolymorpha NCYC 495 (leu1-1) and H. ɪolymorpha
CȼS 4732 (leu2-2). For vector construction, gene FLD1 H. ɪolymorpha and
plasmid pYT1 were used (Baerends et al., 2002; Demkiv et al., 2005).
314
FORMALDEHYDE ASSAY
Yeast cells were cultivated in flasks on a shaker (200 rpm) at 28
o
C until
the middle of the exponential growth phase (~24 h) in a medium containing
(g/L): (NH
4
)
2
SO
4
3.5; KH
2
PO
4
–1.0; MgSO
4
× 7H
2
O – 0.5; CaCl
2
0.1;
yeast extract – 0.5 with the supplement of standard microelements (Demkiv
et al., 2005). As carbon sources, 1% methanol, 1% glucose, or 1% ethanol
were used. For cultivation of the strains leu 1-1 and leu 2-2, leucine was
added up to 40 mg/L.
After washing, the cells were suspended in 0.05 M K, Na-phosphate
buffer, pH 8.0 (PB), containing 0.4 mM PMSF and 1.0 mM EDTA, frozen,
and kept at –20°C. To obtain the cell-free extract (CE), cells were disrupted
with glass beads (d = 0.45 0.5 mm) in a planetary disintegrator at 1000
rpm (r = 10 cm) at 4°C for 6 min. The cell debris was removed by cen-
trifugation at 15000 rpm (r = 8 cm) for 40 min and the supernatant (CE) was
used for testing and isolation of the enzyme.
2.2.
CONSTRUCTION AND SELECTION OF FDDH OVER-PRODUCING
RECOMBINANT STRAINS
To construct strains, over-producing thermostable NAD
+
- and glutathione-
dependent FdDH, the H. ɪolymorpha FLD1 gene with its own promotɟr
(Baerends et al., 2002) was inserted into the integrative plasmid pYT1
(Demkiv et al., 2005) containing the LEU2 gene of Saccharomyces cerevisiae
(as a selective marker). The constructed vector was used for multi-copy
integration of the target gene into the genome by transformation of leu 1-1
(Demkiv et al., 2005) and leu 2-2 recipient cells (both leu allels are comple-
mented by S. cerevisiae gene LEU2). The transformation was performed using
three different methods: electroporation (Delorme, 1989), lithium chloride
method (Ito et al., 1983), and protoplasting procedure (Hinnen et al., 1978).
Selection of FdDH-overproducing strains was carried out by leucine
prototrophy and simultaneously by the resistance to elevated concentrations
of FA in the medium (up to 20 mM). Finally, FdDH specific activities were
tested in cell-free extracts (CE) of the selected FA-resistant Leu-prototrophic
transformants. Activity of FdDH was determined by the rate of NADH
formation monitored spectrophotometrically at 340 nm (Schutte et al.,
1976). One unit (1 U) of the enzyme activity was defined as the amount of
the enzyme which forms 1 Pmole NADH per 1 min under standard con-
ditions of the assay: 25°C, 1 mM FA, 1 mM NAD
+
, and 2 mM glutathione
in PB (50 mM PB, pH 8.0). Instant activity of FdDH (A) was calculated
as a difference between A
+FA
(in the presence of FA) and A
–FA
(without
addition of FA). Protein concentration was estimated by Lowry method.
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G. GAYDA ET AL.
2.3. ISOLATION AND PURIFICATION OF FDDH
The stable recombinant strain Tf 11-6 was chosen as FdDH over-producer
shown to have the highest activity of FdDH (up to 4.0 Pmoles·min
–1
·mg
–1
protein) in cell-free extract (Demkiv et al., 2005).
FdDH was isolated from the cell-free extract (CE) by two-step column
chromatography on anion-exchange sorbent DEAE-Toyopearl 650 M (Demkiv
et al., 2007a). On the first step, CE was applied to column, equilibrated by PB,
pH 8.0. The fraction of unabsorbed proteins, which contained FdDH, was
diluted by water (1:3), Tris-base was added for adjusting pH to 8.8, and the
final solution was applied to the same column (the second step), previously
washed by 1 M NaCl and equilibrated by 40 mM Tris-buffer, pH 8.8 (TB).
Enzyme was eluted by 0.1 M NaCl in the initial buffer (TB), and the
specific activity of FdDH was assayed in each fraction. The concentration
of protein was determined by the Lowry method. The fractions of eluate
with the activity of the enzyme higher than 10 U·mg
–1
were combined, then
dithiothreitol (DTT) – up to 2 mM, and ammonium sulfate (up to 80%
saturation; pH 8.0; at 0°C) were added. After incubation at 0°C for 1 h, the
enzyme was collected by the centrifugation (15000 g, r
av
= 8 cm, 30 min,
4°C), and pellet was resuspended in a minimal volume of ammonium
sulfate solution (80% saturation) in 40 mM PB with 1.0 mM EDTA, 2 mM
DTT and kept at –10°C.
2.4.
ELECTROPHORESIS
The molecular weight of the FdDH subunits was calculated from the
electrophoretic mobility values of FdDH and a set of standard proteins after
SDS-gel electrophoresis in 5–20% polyacrylamide gel (PAAG). SDS-PAAG
was stained with Coommassie Blue R-250. To visualize enzyme bands in
native PAAG (Maidan et al., 1997), we used a modified mixture for FdDH
assay: 1.0 mM FA, 1.0 mM NAD, 2.0 mM glutathione, 0.05 mM nitrotetra-
zolium blue (NTB), and 0.003 mM phenazine methosulfate (PMS) in 50
mM PB, pH 8.0. The PAAG was washed with water after the appearance of
blue-violet FdDH bands.
2.5.
METHODS OF FA ASSAY
2.5.1. Chemical methods
The assay was performed by two methods using chromotropic acid (Polska
Norma PN-71 C-04568, 1988) and 3-methyl-2-benzothiazolinone hydrazone
hydrochloride (MBTH) (Sawicki et al., 1961).
316
FORMALDEHYDE ASSAY
2.5.2. Enzymatic methods
2.5.2.a. FdDH-based method “Formatest”
0.5 ml of model and real samples (water for the blank sample) were treated
at room temperature by 0.5 ml FdDH-containing reagent of the following
composition: 23 mU/ml FdDH, 0.63 mM glutathione, 0.31 mM NAD
+
, 0,2
mM NTB, 0.024 mM PMS, and 0.01% Triton X-100 in 50 mM PB, pH 8.0.
Reaction mixture was incubated for 30 min at room temperature. To
terminate the reaction, 3 ml 0.3 M HCl was added, and optical density of
the sample at 570 nm was measured. FA content was calculated from the
calibration curve.
2.5.2.b Oxidase/peroxidase-based method “Alkotest”
Assay was performed as described by us (Gonchar et al., 2005), using yeast
alcohol oxidase capable to oxidize FA by O
2
to formic acid and H
2
O
2.
2.6.
CONSTRUCTION OF FDDH- AND CELLS-BASED AMPEROMETRIC
BIOSENSORS
2.6.1. Electrodes
Graphite rods (type RW001, 3.05 mm diameter) from Ringsdorff Werke
(Bonn, Germany), sealed in glass tubes by means of epoxy glue and used as
working electrodes, were polished with emery paper of decreasing size. Plati-
nisation of the graphite electrodes (for enzyme-based biosensors) was carried
out in a 6 mg·ml
–1
solution of hexachloroplatinum(IV)-acid-hexahydrate in
HPLC-grade water by cyclic voltammetry (0.4 to –0.6 V at a scan rate of 10
mV s
–1
, 3–4 potential cycles). After platinisation, the electrodes were rinsed
with 0.2 M phosphate buffer, pH 8.2. The properties of amperometric bio-
sensors were evaluated by means of constant-potential amperometry in a
three-electrode configuration with a Ag/AgCl/KCl (3 M) reference elec-
trode and a Pt-wire counter electrode.
2.6.2. Immobilization of FdDH by entrapment within the polymer layer
of a cathodic electrodeposition paint
2 ȝl of FdDH suspension (15 U·ml
–1
) and 2 µl of cathodic paint (CPOs)
were mixed and dropped onto the surface of a platinised graphite electrode.
In a miniaturized electrochemical cell the cathodic paint was precipitated
using a potentiostatic pulse sequence with pulses to a potential of –1200
mV for 0.2 s and a resting phase at a potential of 0 mV for 5 s (Ngounou
et al., 2004). At the applied cathodic potential, water is reduced at the
electrode surface leading to an increase of the pH-value in a diffusion zone in
317
G. GAYDA ET AL.
front of the working electrode surface. Subsequently, the cathodic paint is
deprotonated imposing a significant change in its solubility which leads to the
precipitation of the polymer on the electrode surface simultaneously entrapping
the enzyme.
2.6.3. Entrapment of FdDH and NAD
+
within an Os-complex modified
cathodic electrodeposition paint
2 µl of 25 mM NAD
+
, 2 ȝl of FdDH suspension (15 U·ml
–1
) and 2 µl of Os-
complex modified cathodic paints were dropped on the surface of a platinized
graphite electrode, CPOs was electro-precipitated and enzyme with NAD
+
were co-entrapped within the polymer film. After the immobilization proce-
dure, the electrodes were rinsed with 0.02 M PB, pH 8.2.
2.6.4. Co-entrapment of glutathione and covering of the sensing layer
by a Nafion membrane
On the top of a 1CPOs-NAD
+
-FdDH-modified electrode, 3 ȝl of a 50 mM
neutralized to pH 8.0 solution of reduced glutathione were dropped. After
drying (2–4 min), 5 ȝl of 1% Nafion solution in ethanol (neutralized) were
dropped on the sensor surface. The Nafion membrane was allowed to dry
for 20 to 25 min at a temperature of +4
o
C.
2.6.5. Immobilization of recombinant FdDH-producing yeast cells
2 ȝl of FdDH suspension (15 U·ml
–1
) was put on the surface of graphite
electrode. On the top of a Cells-modified electrode, 3 ȝl of a 50 mM ne-
utralized solution of reduced glutathione and 2 µl of 25 mM NAD
+
were
dropped. After the immobilization procedure, the electrodes were rinsed
with 0.02 M PB, pH 8.0. After drying (2–4 min), 5 ȝl of a 1%neutral Nafion
solution were dropped on the sensor surface. The Nafion membrane was
allowed to dry for 20–25 min at +4°C. Phenazine methosulfate was used as
a free-diffusing redox mediator for cells-based biosensors. 10 ml of a 1 mM
solution of the mediator in 20 mM PB, pH 8.2 was added to the electrolyte
solution. In these experiments, the glass cell was wrapped with aluminium
foil as phenazine methosulfate is light sensitive.
2.6.6. Amperometric measurements
Amperometric measurements were carried out using an Autolab PGstat12
potentiostat (Eco Chemie, Utrecht, Holland) controlled by the GPES4.9
software. Amperometric experiments were performed in steady-state mode
using a standard cell with 10 ml volume at 25°C under continuous stirring.
After 20 min of the background current stabilizing, the experiments were
started by addition of the sample aliquots. In the course of the experiments,
318
FORMALDEHYDE ASSAY
the modified electrodes were stored in 20 mM PB, pH 8.0 at 4°C. All
measurements were repeated at least 3 times.
2.7.
CONSTRUCTION OF FDDH-BASED POTENTIOMETRIC BIOSENSORS
2.7.1. Insulating/semiconductor (IS) structures preparation
A pH-sensitive insulator–semiconductor (IS) transducer (Si/SiO
2
/Si
3
N
4
)
made in the Institute of Microtechnology of University of Neuchatel
(Switzerland) was used. The studied Si/SiO
2
/Si
3
N
4
structures were based on
a p-type silicon substrate, 400 Pm thickness, with 10 Ohm/cm resistance,
covered with a 50 nm layer of thermally grown silicon dioxide and a 100
nm layer of silicon nitride prepared using a low pressure chemical vapour
deposition (LPCVD) technique at 750°C. The Ohmic contact was obtained
using deposition of indium/gallium alloy on the silicon unpolished face. In
our work, we have used the Si/SiO
2
/Si
3
N
4
structures as physical transducers
due to their good stability and low hysteresis properties.
Substrates were treated in a sulfochromic mixture and rinsing with ultra-
pure water to increase the number of free active sites on the surface of Si
3
N
4
(silanol and silylamine sites). After the cleaning process, the substrate was
placed at room atmosphere at 70°C during 10 min to remove water.
2.7.2. Transducer functionalization
20 ȝl of the mixture containing 5 mM PB, pH 7.25; 50 mg/ml serum
bovine albumin, 0.1 M NAD
+
(neutralized), 20 mM reduced glutathione
(neutralized), and 36 U/ml of recombinant FdDH was dropped on the
surface of the structure Si/SiO
2
/Si
3
N
4
(1cm
2
) and spinned (v = 2300 rpm )
for 5 min. The sample was treated in glutaraldehyde vapours during 20
min, dried in air during 20 min and, finally, covered with 1% Nafion
(neutralized). After 20 min of drying, the bio-functionalised structure was
washed several times with 5 mM PB, pH 7.25 and stored in this buffer at
4°C before using.
2.7.3. Capacitance measurements
To examine the response of the FdDH-based biosensor, capacitance
measurements were performed in a three-electrode electrochemical cell
(Pt-counter, Ag/AgCl electrode as reference and the bio-functionalized
Si/SiO
2
/Si
3
N
4
structure as a working electrode). The cell was connected
to impedance analyzer Voltalab 40 (Radiometer Analytical SA Villeurbane,
France). The capacitance–voltage measurements were carried out at DC
voltage was swept from í0.5 to 2 V and an AC voltage was superposed
319
G. GAYDA ET AL.
with a frequency of 10 KHz and a signal amplitude of 10 mV. All of these
experiments were performed in darkness at room temperature.
2.8.
STATISTICS
Statistic treatment of the data and the level of correlation between experi-
mental values have been calculated using computer program Origin 6.0 and
Microsoft Excel.
3. Results and Discussion
3.1.
YEAST ENGINEERING FOR OVERPRODUCING FORMALDEHYDE
DEHYDROGENASE (FDDH)
As already reported (Demkiv et al., 2005), the FLD1 gene from H. polymorpha
with its own promoter has been re-cloned into LEU2-containing plasmid
pYT1 devoid of the ARS to be used for multi-copy integration of the gene
into chromosomes of the recipient strain leu1-1 (Fig. 1). The transformation
by electroporation have been done by linear and cyclic forms of the
plasmid, and 50 clones among Leu
+
-transformants with a higher resistance
to formaldehyde have been selected and tested by their FdDH activity in
CE. The stable recombinant strain Tf 11-6 with the highest FdDH activity
up to 5.0 U/mg was chosen and characterized (Demkiv et al., 2005).
Figure 1. The structure of plasmids as the vectors in construction of H. polymorpha FdDH
over-producers.
320
FORMALDEHYDE ASSAY
Similar experiments were carried out using strain leu 2-2 as a recipient
for the transformation by FLD1-containing plasmid pYT1. Different met-
hods for the transformation were used (see 2.1) to select new integrative
clones by the phenotypes of enhanced resistance to FA and increased FdDH
synthesis. All selected strains (approximately 80), isolated by LiCl-method,
had the highest resistance to FA (up to 15 mM on a methanol medium) and
two clones, Tf 22-142 and Tf 22-126, were resistant up to 20 mM FA (on
plates). The tested integrants grew better and were more resistant to eleva-
ted FA content in the growth medium in comparison with the recipient
strains both on the plates (in solid) and in the liquid medium. The selected
strains were considered to be not only a good source for FdDH production,
but also the perspective organisms for the environmental bioremediation
technologies.
3.2.
OPTIMIZATION OF CULTIVATION CONDITIONS
FOR FDDH-OVERPRODUCING STRAINS
To optimize the cultivation conditions for the highest enzyme yield, the
influence of a growth medium composition on FdDH level for two the best
strains, Tf 11-6 and Tf 22-142, was investigated (Fig. 2). As shown in Fig.
2A, FdDH activity in CE was dependent on a carbon source. The only
cultivation on 1% methanol provided a considerable level of the enzyme
synthesis for the tested strains, both recipient cells and their transformants.
Addition of FA to methanol medium additionally stimulated synthesis of
FdDH. As shown in Fig. 2B, FdDH specific activities in CE of Ɍf 11-6 and
Ɍf 22-142, cultivated on the methanol medium supplemented by 10 ɦɆ FA,
were found to be 7.0 and 8.5 U/mg, respectively, that is more than twice
higher compared to the activity of FdDH of the cells cultivated without
addition of FA.
3.3.
FDDH PURIFICATION AND CHARACTERIZATION
For enzyme isolation (Demkiv, 2007a), cells of the recombinant over-
producer strain Tf 11-6, cultivated in 1% methanol medium in the presence
of 5 mM FA, were used. Some physico-chemical characteristics of the
purified FdDH are shown in Figure 3. The molecular mass of FdDH
subunit, estimated by SDS-electrophoresis, was shown to be about 40 kDa
(Fig. 3A), that is the same found for C. boidinii – 41 kDa (Melissis et al.,
2001). In Fig. 3B the evalution of pH-optimum and pH-stability of the
enzyme (incubation in the appropriate buffer at room temperature during 60
min) is presented. pH-optimum was found to be in the range of 7.5–8.5, and
the highest stability of FdDH was observed at pH 7.0–8.5.
321
G. GAYDA ET AL.
Figure 2. FdDH activity in CE of the recipient and recombinant strains cultivated in different
media. A. Vizualization of FdDH activity in 8% PAAG after native electrophoresis of CE.
Carbon sources in a growth medium: 1% ethanol (EtOH), 1% methanol (MeOH) or 1%
glucose (Glc). Each CE sample contained 0.1 mg protein: a) 1 – leu1-1 (0.01 U for EtOH
and Glc, 0.15 U for MeOH); 2 – Tf 11-6 (0.12 U for EtOH, 0.35 U for MeOH, and 0.10 U
for Glc); b) 1 – leu2-2 (0.01 U for Glc, 0,07 for EtOH and 0.15 U for MeOH); 2 – Tf 22-142
(0.12 U for EtOH, 0.40 U for MeOH, and 0.11 U for Glc); K – 0.01 mg of purified FdDH
preparation (0.17 U). B. FdDH activity in CE of cells cultivated in a medium containing 1%
methanol and different concentrations of FA, mM.
322
Optimal temperature for the enzyme activity is 50°C, at 65°C enzyme
retained about 60% of its highest activit y, that is equal to the level of FdDH
activity at 30°C (Fig. 3C). The thermostability of the enzyme (Fig. 3C) is
FORMALDEHYDE ASSAY
A B
C
Figure 3. Some characteristics of the purified FdDH preparation (17 U/mg). A. Estimation of
M.m. of the enzyme subunit (kDa) in 5–20% SDS-PAAG: 1 – protein standards; 2–5 Pg
FdDH. B. pH-optimum (1) and pH-stability (2) of enzyme preparation. (2) FdDH was incu
bated at different buffers (for pH 5.25–8.0 – in 50 mM PB, pH 9.2–10.0 – in 50 mM borate
buffer) during 60 min and then tested for a residual activity at standard assay conditions. C.
Temperature optimum (1) and thermostability (2) of FdDH. (1) – Before FdDH adding,
reaction mixture was pre-incubated for 10 min at a fixed temperature (23°C, 30°C, 35°C,
40°C, …70°C); then FdDH was added and its activity was determined in thermostated
cuvette at the same temperature for at least 5 min; (2) – FdDH solution in PB, pH 8.0 was
heated during 10 min at fixed temperature (23°C, 30°C, 35°C, 40°C, …70°C), cooled and
tested for a residual activity at standard assay conditions (25°C).
apparently high allowing the usage of FdDH for bioanalitical purposes,
323
namely, for FA assay in food products, waste-water, and pharmaceuticals,
as well as for biotransformation of FA to formic acid.
G. GAYDA ET AL.
It was reported that the predicted FLD1 gene product (Fld1p) is a
protein of 380 amino acids, 41 kDa (Baerends et al., 2002). Taking into
account that the molecular weights of native FdDH from various methanol-
utilizing yeasts were estimated to be from 80 to 85 kDa (Table 1), the
isolated by us thermostable NAD
+
- and glutathione-dependent FdDH from
the gene-engenered thermotolerant methylotrophic yeast H. polymorpha is
supposed to be dimeric. As shown in Table 1, values of the Michaelis-
Menten constant (K
M
) for FA and NAD
+
calculated for this enzyme are
close to K
M
for the wild-type enzyme.
TABLE 1. Some characteristics of the purified FdDH from the different yeasts.
Ɇ.m, kDa K
M
, mɆ
Strains
enzyme
subunit
FA
GSH
NAD
+
Reference
Candida boidinii 80 40 0.25-0.29 0.13 0.025–0.09
Schutte,
1976;
Pichia pastɨris 84 39 0.43 0.48 0.24
Allais,
1983
H. polymorpha,
wild type strain
82 40.6 0.21 0.18 0.15
Dijken,
1976;
H
. polymorpha,
r
ecombinant strain
40 0.18 0.21
This
paper
3.4. APPLICATION OF FDDH FOR ENZYMATIC ASSAY OF FA
FdDH preparation isolated from the recombinant strain of the yeast H.
polymorpha with the specific activity 17.0 units per mg
of protein at 25°C
(about 27 U·mg
–1
at 37°C, see Fig. 3C) was proposed to be used for the
enzymatic assay of FA. In methylotrophic yeasts, NAD
+
- and glutathione-
dependent FdDH catalyzes the oxidation of FA to formic acid under simul-
taneous reduction of NAD
+
to NADH. The proposed enzymatic method is
based on the photometric detection of colored product, formazan, formed
from nitrotetrazolium blue in reaction coupled with FdDH-catalyzed oxi-
dation of FA in the presence of an artificial mediator, PMS (Demkiv
et al., 2007a).
The assay was performed in a mode of incomplete conversion of the
analyte (approximately, 10%), using a limited concentration of the enzyme
(23 mU/ml) in the reagent. These conditions are economic and reasonable,
324
FORMALDEHYDE ASSAY
because of a high content of FA in the tested samples. At conditions of
complete oxidation of FA (excess of the enzyme), sensitivity of assay was
determined to be 2.5 ȝM (in final reaction mixture) or 20 ȝM – in the tested
samples. The reliability of the developed method “Formatest” was tested on
the real waste-water samples containing FA. As shown in Table 2, the
comparison of FA content values obtained by FdDH-based method and by
two routinely used chemical ones (chromotropic acid and MBTH), showed
a good correlation between both approaches. Only in some cases (samples
DK5 and DK7) with a lower FA content, the difference between the com-
pared methods is higher than 15%–41% and 26%, respectively. A rela-
tively high difference is also observed between two chemical methods for
the mentioned above samples –37% and 21%. This can be explained by a
higher error in measurement of low optical density values obtained for
samples with a low FA content. On the other hand, it is worth to emphasize
that the used chemical approaches are not free from possible mistakes due
to interfering effects of the co-impurities, usually present in the real sam-
ples, for example, phenol which is an attendant pollutant of FA-containing
wastes (Polska Norma PN-71 C-04568, 1988).
Thus, we can conclude that analytical data obtained by FdDH-based
method are more reliable than chemical ones. Due to this very important
analytical feature of the enzymatic method, it can be recommended for
practical application instead of chemical ones which are labour- and time
TABLE 2. Comparison of different methods for FA assay (mg/L) in real samples of waste-
water (DK), pharmaceutical (Formidron), disinfectant (Descoton forte) and industrial pro-
duct (formalin)
Chemical methods Enzymatic methods
Samples
Chromotropic acid ɆȼɌɇ «Formatest» «Alcotest»
DK 1 9.3 ± 0.61 9.56 ± 0.51 7.89 ± 0.59 9.6 ± 0.45
DK2 8.7 ± 0.50 8.06 ± 0.32 6.66 ± 0.26 8.12 ± 0.2
DK3 7.2 ± 0.33 7.84 ± 0.36 6.88 ± 0.41 8.00 ± 0.44
DK4 7.1 ± 0.36 6.3 ± 0.46 7.58 ± 0.32 6.86 ± 0.3
DK5 1.65 ± 0.35 1.2 ± 0.15 2.32 ± 0.08 1.97 ± 0.12
DK6 4.64 ± 0.24 4.99 ± 0.059 5.73 ± 0.32 5.60 ± 0.28
DK7 1.62 ± 0.17 1.96 ± 0.20 2.47 ± 0.15 2.19 ± 0.20
Formidron 107.70 ± 12.2 107.1 ± 8.3 96.60 ± 7.31 97.5 ± 9.3
Descoton forte 44.4 ± 7.82 49.22 ± 1.83 42.05 ± 4.02 45.93 ± 3.36
Formalin 420 ± 24 378 ± 21 405 ± 21
325
G. GAYDA ET AL.
consuming: need distillation of the samples or performing standard addition
test (in the case of phenol contamination).
3.5.
CONSTRUCTION OF FA-SELECTIVE BIOSENSORS
3.5.1. FdDH-based capacitance biosensor
FdDH was tested as a FA-recognising element coupled with semiconductor-
based structure Si/SiO
2
/Si
3
N
4
as a transducer (Ben Ali et al., 2007). The
bio-recognition element had a bi-layer architecture and consisted of FdDH,
cross-linked with albumin, and two cofactors (NAD and glutathione) in the
high concentrations (first layer); the second layer was a negatively charged
Nafion membrane which prevented a leakage of negatively charged co-
factors from the bio-membrane. Changes in capacitance properties of the bio-
recognition membrane were used for monitoring FA concentration in a bulk
solution. It has been shown that FA can be detected within a concentration
range from 10 PM to 25 mM with a detection limit of 10 PM (Fig. 4).
Figure 4. Response of bio-functionalized Si/SiO2/Si3N4 structure for formaldehyde (in
logarithms of the molar concentration) in the tested solution.
3.5.2. FdDH- and cells-based amperometric biosensors
In the physiological electron-transfer pathway, the electrons are transferred
from FA via intermediate hydroxymethylglutathione to the active centre of
FdDH under simultaneous reduction of NAD
+
to NADH. For the design of
an electron-transfer pathway for the immobilised FdDH as a bioselective
element of the sensor, the enzymatically generated NADH has to be reoxidised
additionally at the electrode surface using a suitable redox mediator (Fig. 5).
326
FORMALDEHYDE ASSAY
The recombinant yeast cells H. polymorpha and FdDH isolated from these
cells were used as biorecognition elements of amperometric biosensors. Elec-
tron transfer between the immobilized bioelement and graphite electrode was
established using different mediators. The best mediators for enzyme biosensor
were shown to be positively charged cathodic electrodeposition paints modified
with Os-bis-N,N-(2,2’-bipyridil)-dichloride ([Os(bpy)
2
Cl
2
]) complexes. Among
five tested Os-containing redox polymers of different chemical structure
and properties, complex 1CPOs of osmium-modified poly(4-vinylpyridine)
with molecular mass 60 kDa containing diaminopropyl groups was selected
as optimal. Polymer layer simultaneously served as a matrix for keeping
the negative charged low-molecular cofactors, glutathione and NAD
+
, in the
bioactive layer. For cells-based biosensors phenazine methosulfate (free-
diffusing redox mediator) exhibited the best electron transfer characteristics.
Figure 5. Schematic representation of the electron pathway for the FdDH-based ampero-
metric biosensor for FA detection (A) and the scheme of intracellular red-ox reactions coupled
with electrochemical oxidation of the mediator PMS for cells-based sensor (B).
For construction of the envisaged FA biosensor we proposed a sop-
histicated sensor architecture aiming on the secure fixation of all sensor
components in a bioactive layer on the transducer surface. Especially, the
sensor architecture was designed to prevent any leakage of the low-molecular
and free-diffusing cofactors of the enzyme thus enabling FA determination
without addition of the cofactors to the analyte solution (Fig. 6). In the opti-
mized biosensor’s construction, platinised graphite electrode was used as a
transducer and [Os(Me
2
bpy)
2
Cl
2
]-modified positively charged cathodic
paint 1CPOs was found to be the best redox mediator, as well as a good
matrix for enzyme or cells electrodeposition and for holding enzyme’s co-
factors, glutathione and NAD, in a bioactive layer. Covering of the biolayer
327
G. GAYDA ET AL.
Figure 6. Architecture of FdDH- (Ⱥ) and cells-based (ȼ) amperometric biosensors.
by a negatively charged Nafion membrane additionally prevents the co-
factors from a leakage, as well as contributes to the enhanced stability of the
sensor.
Bioanalytical characteristics of the constructed biosensors (Table 3) were
studied in detail: kinetics, dynamic and linear range, selectivity, dependence
of sensors output on temperature. For enzyme-based biosensor the maxi-
mum current value was 250 ± 5.25 µA and the apparent Michaelis-Menten
constant (K
M
app
) derived from the FA calibration curves was 120 ± 5.3 mM
with a linear detection range for FA up to 20 mM. For cells-based bio-
sensor, the maximum current value was 1.07 ± 0.04 µA and the apparent
Michaelis-Menten constant (K
M
app
) derived from the FA calibration curves
was 20.1 ± 1 mM with a linear detection range for FA up to 8 mM. The
328
FORMALDEHYDE ASSAY
thermostability of the used enzyme and thermotolerance of recombinant yeast
cells. The bioanalytical properties of the developed biosensors were evalu-
ated specifically aiming at an improved long-term operational stability of
the sensor. A novel biosensor demonstrated a good sensitivity, high selec-
tivity to FA, and a good stability. A typical response of the developed
1CPOs-NAD
+
-FdDH-modified electrode towards FA and the linear range are
shown in Fig. 7.
Another amperometric biosensor developed by us in a cooperation with
scientific group headed by Prof. E. Czöregi (University of Lund, Sweden)
was a bi-layer bi-enzyme sensor based on diaphorase and FdDH together
with [Os(4,4’-dimethylbipyridine)
2
Cl]
+/2+
(PVP-Os). The sensorarchitecture
comprised a first layer containing diaphorase from Bacillus stearothermophilu
cross-linked with the PVP-Os redox polymer. On the top, a second layer
was formed by additional cross-linking of FdDH with poly(ethylene glycol)
(400)diglycidyl ether. The sensor architecture was optimised with respect
to efficient electron transfer and stability of the enzyme(s). Bioanalytical
basic characteristics of the biosensor, polarized at +180 mV vs. NHE, are
presented in Table 3.
TABLE 3. Bioanalytical characteristics of developed biosensors (FdDH-based and recom-
binant cells-based)
FdDH-based biosensor
Characteristics
Mono-
enzyme
Bi-enzyme
(+diaphorase)
Mono-
enzyme
Cells-based
biosensor
Type of signal
detection
Amperometric Capacitance Amperometr
ic
Detection limit, mM 0.003 0.032 0.01 0.11
Linear range, mM up to 20.0 0.05–0.5 0.01–25 up to 8.0
I
max,
ȝA 250±5.25 0.18 – 1.07 ± 0.03
Sensitivity
358
A· m
–2
·M
–1
22
A· m
–2
·M
–1
31 mV/de-
cade
5.1
A· m
–2
·M
–1
Reference
Demkiv et al.,
2007b
Nikitina et al.,
2007
Ben Ali
et al., 2007
Paryzhak
et al., 2007
329
optimal pH-value for the developed biosensors was in the range of 7.6
to 8.3 with an optimal temperature between 45–50°C, due to a higher
G. GAYDA ET AL.
Figure 7. Chronoamperometric determination of FA, using a 1CPOs-NAD+-FdDH-GSH-
Nafion -based biosensor (A) and Cells-Tf11-6-NAD+-GSH-Nafion-modified graphite
electrode (B) and linear concentration range for biosensors.
330
FORMALDEHYDE ASSAY
3.6. APPLICATION OF AMPERMETRIC BIOSENSORS
FOR FA-MONITORING IN REAL SAMPLES
The constructed amperometric biosensors revealed a high selectivity to FA
(100%) and a very low cross-sensitivity to other structurally similar sub-
stances: butyraldehyde (0,93%), propionaldehyde (1,89%), acetaldehyde
(5,1%), methylglyoxal (9,12%) (Paryzhak et al., 2007). These sensors were
applied for FA testing in some industrial goods: Formidron, Descoton forte,
formalin and rabbit vaccine against viral hemorrhage. A good correlation
was observed between the data of FA testing (Table 4) by the biosenor’s
approaches (FdDH and cells-based), proposed enzymatic method Formatest
and standard chemical methods.
TABLE 4. FA content in real samples determined by different methods: chemical (MBTH,
Chromotropic acid), enzymatic (FdDH-based) “Formatest”, and biosensor approaches (FdDH-
based and recombinant cells-based sensors)
FA molar (mole/L) concentration, Ɇ±m
Chemical methods FdDH-based methods
Sample/
Method
acid biosensor
Formidron 1.64 ± 0.61 1.48 ± 0.26 1.53 ± 0.31 1.57 ± 0.13
1.48 ±
0.06
Descoton
forte
3.57 ± 0.30 3.59 ± 0.44 3.25 ± 0.8 3.61 ± 0.13
3.29 ±
0.12
Formalin 12.6 ± 0.73 14.0 ± 0.81 13.5 ± 0.7 13.6 ± 0.6
13.82 ±
0.54
Rabbit
vaccine
against viral
hemorrhage
0.038 ± 0.003 0.029 ± 0.005 0.042 ± 0.004
0.041 ±
0.005
0.042 ±
0.002
4. Acknowledgements
This work was financially supported by the projects: INTAS OPEN CALL
03-51-6278, NATO LINKAGE GRANTS LST.NUKR.CLG 980621 and
PDD(CP)-(CPP.NUKR.CLC, 982955), NAS of Ukraine in the framework
of the Program “Sensors’ Systems for Medico-Ecological, Industrial and
Technological Purposes” and WUBMRC.
331
ɆȼɌɇ Chromotropic Formatest FdDH- Cells-
biosensor
G. GAYDA ET AL.
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ELECTROCHEMICAL SENSING METHODS: A BRIEF REVIEW
ANDREA SCOZZARI*
CNR Institute of Geoscience and Earth Resources, Via
Moruzzi 1, 56124, Pisa, Italy
study chemical and biological systems. This chapter gives an overview of
the most common electrochemical sensing techniques, their basic working
principles and their typical configurations, paying a brief look to some more
recent developments. Due to the huge extension of the subject and to the very
large amount of the possible applications, what is given here is a synthesized
review of the most general families of methods regarding aqueous solutions,
together with a few particular application examples. In the most recent deve-
lopments, the combination of electroanalytical techniques with different
sensing methods, and the usage of signal processing techniques for pattern
recognition applied to the electroanalytical data series, emerged in the scien-
tific literature, as pointed out in the text.
1. General Concepts About Electrochemical Techniques
Electrochemical methods are probably among the oldest measurement tech-
niques, and are also comprising a very wide range of analytical possibilities,
enhanced by the recent technological developments in signal processing and
front-end electronic systems.
Electrochemistry implies the transfer of charge between an electrode
and a liquid or solid phase. Both the electrode reactions at the interface and
the electrical conduction in the bulk solution participate to this process.
______
*To whom correspondence should be addressed. Andrea Scozzari, CNR Institute of Geoscience and
Earth Resources, Via Moruzzi 1, 56124, Pisa, Italy. Email: a.scozzari@igg.cnr.it.
335
Abstract: Electroanalytical methods are often seen as an effective tool to
Keywords: Electrochemistry, liquid, characterization, water monitoring
© Springer Science + Business Media B.V. 2008
A. SCOZZARI
In the absence of convection, the transfer of charge carriers may be due
to a concentration gradient of electroactive species (diffusion current) or to
the presence of an electric field (migration current). Mass transport by mig-
ration is what mostly happens in the bulk solution and is generally responsible
for its electrical conductivity.
The diverse kinds of electrochemical sensors can be split into the fol-
lowing main classes:
x potentiometric, implying a pure voltage measurement;
x amperometric, where current in a closed loop involving two electrodes
is the measured variable;
x conductimetric, where the conductance of an electrochemical cell is de-
termined.
1.1. ELECTROCHEMICAL CELLS
Most of the applications can be reduced to a two-electrodes or a three-ele-
ctrodes cell scheme, as shown in Figure 1. A signal source (generator) is
connected between a pair of electrodes and, in the most generic approach,
both a current and a voltage measurement are performed.
In a two-electrodes arrangement (Figure 1a) a Working Electrode (WE)
is coupled with a non-polarizable Reference (REF); a difference of elec-
trical potential is measured between the WE and the well-defined potential
of the REF electrode.
Amperometric measurements are performed by using an excitation
signal coming from a generator, and by measuring the resulting current in
the loop closed by the cell.
Potentiometric measurements are performed in zero-current conditions,
thus removing the generator and the current measurement device from the
scheme, and by measuring the voltage across WE and REF with a device
having a high input impedance, to minimize the contribution of the ohmic
potential drop to the total difference of potential.
In a three-electrodes arrangement (Figure 1b) the current loop comprises
a large auxiliary electrode (AUX), having a small charge-transfer resistance,
in order to overcome the said ohmic potential drop, due to the current flowing
through the cell. This configuration is very general, works also with solu-
tions having poor electrical conductivity, and is the one typically used in
laboratory instruments based on voltammetry.
Voltammetry is a group of electroanalytical methods in which infor-
mation about the analyte is derived from the measurement of a current
flowing through a polarized WE, with an imposed voltage between WE and
REF. That is, the WE potential (calculated with respect to REF) is forced
336
ELECTROCHEMICAL SENSING METHODS
to adhere to a predetermined program or waveshape, and the current i is
measured as a function of the applied potential, or as a function of time. The
electronic device that implements such concept is called potentiostat.
Figure 1. a) Two-electrodes cell configuration; b) Three-electrodes cell configuration.
1.1.1. Electrical equivalent cell models
The equivalent circuit of a cell is a schematic diagram, made with con-
centrated parameters elements, having an electrical behavior equivalent to
the one exhibited by the cell. The intrinsic non-linearity of such systems and
their complex behavior make the even most reliable model of the electro-
chemical mechanisms only partially applicable. In particular, the model
discussed here can be complicated by additional components, in order to
better fit a real behavior, leading to a larger network where also non-linear
components and frequency-dependent impedances may be present.
A passive equivalent circuit, made of resistors and capacitors, can be a
suitable electrical model for small amplitude sinusoidal excitation signals,
at a given frequency. According to the simplest approach almost universally
presented in the literature, the components that contribute to the total im-
pedance of the cell are:
x the solution resistance, R
ȍ
,
x the double-layer capacitance, C
d
,
x the faradaic impedance, Z
f
.
The double-layer capacitance is due to the ionic charge accumulated on
the solution side of a polarized interface (electrode); an ideally non-polari-
zed interface would have a perfectly resistive behavior, instead.
The faradaic impedance Z
f
involves interfacial effects, and it is seen as
an electrical bypass to the double-layer capacitor; it is due to the electrolytic
Generator
i
v
REF
WE
Generator
i
v
REF
WE
AUX
337
A. SCOZZARI
reactions and it has a remarkably non-ideal behavior, characterized by a
strong dependency upon frequency.
The behavior of Z
f
as a function of frequency carries out meaningful
chemical information, that can be extracted with more or less direct methods.
Typical techniques for the measurement of the faradaic impedance vs. fre-
quency rely on ac voltammetry or polarography methods, where a relatively
small amplitude ac signal (generally a few mV peak) is superimposed to a
voltage ramp in a three-cell embodiment. An explanation of how the poten-
tiostat works in this configuration is given in paragraph 1.3.2.
In Figure 2 the equivalent circuit of an electrochemical cell, in the form
discussed here, is shown. The faradaic impedance is often reduced to a pure
resistance, the charge transfer resistance R
ct
, which shorts the double layer
capacitor C
d
, as it is shown in Figure 3a. A capacitive element is often
added to the network, either in a series (R
s
, C
s
) or in a parallel (R
p
, C
p
)
configuration, as it is shown in figure 3b.
Figure 2. Equivalent circuit of an electrochemical cell.
Figure 3. a) Purely resistive faradaic impedance. b) Complex faradaic impedance (series and
parallel topology).
Again, while R
ȍ
and C
d
have a basically linear and almost pure electrical
behavior,
Z
f
is strongly dependent upon frequency. According to a wide
literature available, the faradaic impedance is related to the kinetic para-
meters of the electrode reactions. Z
f
can thus be seen as the combination of
a mass-transfer impedance and a contact resistance; its amplitude and phase
angle take information about the concentration of the electroactive species
C
d
R
:
Z
f
Z
f
R
ct
Z
f
R
s
C
s
R
p
C
p
338
ELECTROCHEMICAL SENSING METHODS
and the charge transfer resistance (Delahay and Reilley, 1954; Bard and
Faulkner, 1980, 2000).
1.2. POTENTIOMETRIC SENSORS
1.2.1. Working principle
Electrodes for potentiometry are based on the interface between two elec-
trolyte phases, which are put into contact. A non-polarized interface (selective
or not) exhibits an half-cell potential, that is related to the activities of the
species involved into the equilibrium of the electrochemical potentials. The
half-cell potential (or formal potential) is defined as the electrical potential
measured with respect to a standard hydrogen reference electrode (Bard and
Faulkner, 1980, 2000; Ives and Janz, 1961; Janata, 1989).
The electrochemical potential in a location P, can be defined as (Butler,
1926; Guggenheim, 1929; Guggenheim, 1930):
0
ln
ii ii
RT a z F
DD D D
P
PI
(1)
where:
i
z
is the charge of species i.
F is the Faraday’s constant,
D
I
is the electrical potential at the location P for phase Į,
D
P
0
i
is the standard chemical potential of the species i in phase Į,
D
i
a is the activity of the species i in phase Į.
Non-polarized interfaces reach equilibrium conditions that are governed
by activities of the ions; the difference in electrical potential, that makes the
electrochemical potential constant across the interface, depends on the said
activities as explained by the Nernst equation, put into the following form:
0
ln
i
ii
a
RT
z
Fa
D
E
SS
(2)
where:
S
is the interfacial potential difference,
0
S
is the standard interfacial potential difference, measurable with equal
activities in phase Į, ȕ,
E
i
a is the activity of the species i in phase ȕ.
339
A. SCOZZARI
The two phases Į, ȕ may represent the sample phase and the electrode
phase, according to the described approach. Thus,
S
is the voltage measur-
able across a semipermeable membrane between the sample and an unpolar-
ized reference. It is now clear how selective membranes, that respond in a
Nernstian fashion to specific electroactive species, can be the fundamental
building block of Ion-Selective Electrodes (ISE). In this context, ion acti-
vity can be measured with a two-electrodes configuration, where the WE
(often called indicator) is actually a reference electrode interfaced to the
sample via a specialized membrane and a reference solution in between,
having the analyte at a fixed activity.
1.2.2. Ion-selective electrodes
Ion-selective electrodes are based on an ion selective membrane that
interfaces an internal reference to the external environment (that is, the
sample). Glass membranes are probably the most commonly used; in fact,
they have been developed and used since the beginning of the 20
th
century,
especially for the measurement of pH. Other ion-selective membranes, both
solid-state and liquid, have been developed and are commercially available;
the usage of some particular kinds of membranes, such as lipid/polymer
ones and chalcogenide glasses, is still matter of research, especially for the
development of arrays of sensors.
When the ion selective membrane uses a glass/electrolyte interface, the
whole cell is configured in the following way:
Ag/AgCl/HCl (c)/Glass membrane/SAMPLE//Reference (3)
where:
/ denotes the interfaces,
// denotes the junctions,
c is the concentration of the reference solution.
The internal reference in this example is of the Ag/AgCl kind; the ex-
ternal reference electrode can be of the same kind, but not necessarily.
In the case of pH electrodes, the membrane essentially responds to H
+
ions, and is formed by a dry bulk and two thinner dry layers that come into
contact with the liquid phase. In the bulk structure only mobile cations pre-
sent in the glass, such as Na
+
or Li
+
, are substantially responsible for electrical
conduction. Deep explanations about the principles and construction of pH
electrodes can be found in the literature cited in the references (Bates, 1973;
Garrels , 1967).
In addition, there’s a wide availability of sources of information about
theory and construction of the ISEs, such as the book edited by H. Freiser
(1978).
340
ELECTROCHEMICAL SENSING METHODS
1.2.3. Semiconductor field-effect sensors
A typical issue in the usage of glass electrodes lies in their high output
impedance, that is, the need for the voltmeter device, placed between the ISE
and the REF electrode, to drain the smallest possible current from the mea-
surement loop. In fact, typical impedance values for commercial combined
pH electrodes (embedding their REF) are in the order of the hundreds of
MOhms.
The front-end electronic component typically used in the electrometers
for potentiometry is a kind of FET (Field-Effect Transistor) that may be
realized in different ways, according to the particular technology employed.
In general, the active building-blocks of the amplifier and buffer stage will
be one or more FETs, with insulated gates in bipolar or MOS technology;
such stage has to process the weak signal coming from the electrodes and
adapt its impedance level to the input of data acquisition and display devi-
ces, connected to the output of this buffer/amplifier stage.
The idea to embed an ion-sensitive capability into a FET device comes
from the early 70s, and has generated the first integrated chemical sensor.
CHEMFETs (CHEMically sensitive FETs) can be mainly split in two
categories:
x ISFETs, based on an ion-sensitive membrane on behalf of the metallized
gate of standard FETs,
x ENFETs, based on a chemically selective enzyme layer.
To avoid confusion, it must be clarified that some authors consider
ENFETs a mere kind of ISFETs, and do not use the term CHEMFET.
Figure 4. Structure of a CHEMFET/ISFET device. Electrical connections are shown.
The structure and a simplified schematic diagram for potentiometric
measurements performed by using an ISFET device are shown in Figure 4.
The V
REF
generator provides the right Gate voltage to polarize the FET for a
correct modulation of the channel in the desired working region. Channel
conductance is a function of the ion activity because of the electric field
generated by the charges accumulated on the membrane; thus the observable
n
+
n
+
P substrate
S
i
O
2
S
i
3
N
4
Encapsulation
Ion-sensitive membrane
i
REF
Solution under
measurement
V
DS
V
REF
341
A. SCOZZARI
is the current i, which is also a function of the Drain-to-Source voltage (V
DS
).
Among the various sources of information which are available, good expla-
nations abut the working principles of CHEMFETs can be found in the
book by Jiri Janata (1989).
1.3. VOLTAMMETRY
1.3.1. Working principle
The electrochemical behavior of a system can be determined by imposing
known varying potentials between WE and REF, and recording either the
current-voltage or the current-time curve, that is obtained in each experiment.
The saturation level of the current in the i-v curve, due to the mass-
transport limitation, carries information about the concentration and nature
of the electroactive depolarizing species involved in the process, that is,
those involved in the interfacial charge transfer across the double layer.
The different decomposition potentials, diffusion coefficients and mass-
transfer limits, that are exhibited by electroactive species in a solution, gene-
rate different contributions to the complex curve (voltammogram) obtained;
different kinds of voltammetry are classified according to the waveform of
the excitation signal.
In this framework, a known technique to get a complete electrochemical
signature of a system consists into applying a series of potential steps (actu-
ally rectangular pulses) having different amplitude, always recording the
current vs. time curve. But this represents just one of the possibilities.
There’s a wide range of possible implementations of measurement meth-
ods based on voltammetry, according to the type and material of the working
electrodes (i.e. solid metal microelectrodes, dropping mercury, planar rotating
disks, carbon electrodes, etc.), and according to the particular electrochemi-
cal experiment, which depends on the program imposed by the generator.
There’s a huge quantity of useful readings to get a deep knowledge about
polarographic methods and more recent applications of voltammetry; among
the many available, we can mention the excellent textbook by Bard and
Faulkner (Bard and Faulkner, 1980, 2000) and others cited in the references
(Janata, 1989; Bond, 1980; Macdonald, 1977).
Under the theoretical point of view, the difference of electrochemical
potential between two points (A,B) of a solution can arise because of:
x a difference in the concentration of electroactive species over the
distance A to B,
x an electric field with a non-zero component along the direction A-B.
342
ELECTROCHEMICAL SENSING METHODS
These two phenomena contribute to the mass transport by diffusion and
migration, respectively; the flux of charged species transported can be ex-
pressed in terms of current density.
For non convective mass transfer, in the proximity of an electrode, the
electroactive substance is transported by both the processes previously des-
cribed (migration and diffusion).
In this case, the general flux equation is given by:
()
j
jjj jj
zF
Jx DC DC
RT
I
(4)
where:
j
D is the diffusion coefficient of species j,
j
C is the local concentration of species j.
Stirred solutions, which are mostly used in practice, involve forced
convection. In this case, a model has been proposed (Bard and Faulkner,
1980, 2000), where it is assumed that convection maintains the concen-
trations of all the species uniform and equal to the bulk values, till a certain
distance G from the electrode. Within this layer having thickness G, it is
assumed that there’s no solution movement, thus mass transfer is thought to
be due by diffusion only.
1.3.2. The potentiostat
The basic component of the measurement system is called potentiostat. A
potentiostat is a device which injects current into the AUX electrode, closing
the current loop via the working electrode WE, in order to impose a known
difference of potential between WE and a reference electrode REF. Such
voltage has to be measured with a high impedance differential amplifier, to
make negligible the current going through REF.
The functional diagram of a potentiostat to make voltammetric measure-
ments with a three-electrodes cell is shown in Figure 5. The voltage imposed
across WE and REF is supposed to be determined by a function generator
placed at the input of the potentiostat; the excitation function corresponds to
the v
e
(t) signal indicated in the diagram. The experimental observable, that
is obtained by each measurement session, is the response of the system
potentiostat-cell to the excitation signal (voltage) imposed, that is, the loop
current i
WE
(t). Under the hypothesis that all the current losses in the system
can be neglected, i
WE
(t) is equal to the output current of the control amplifier (1).
The potential on the WE is tied to the analog ground by the I/V con-
verter (3); the differential electrometer (2) is connected to the negative input
343
A. SCOZZARI
of the control amplifier (1) and closes the feedback loop, which ensures that
the voltage difference between the reference electrode REF and the WE is
equal to the voltage set by the input signal v
e
(t). All this is true until both
the voltage assumed by the auxiliary electrode AUX and the current which
flows through it, lie in the output swing capability of (1).
Figure 5. Simplified block diagram of a potentiostat in a three-electrodes configuration.
Automatic measurements are often performed by controlling the poten-
tiostat with a Personal Computer and an adequate piece of software. Different
kinds of working electrodes have been presented in the literature and are
also commercially used, depending on the different measurement requirements,
and can also be automatically switched.
Fundamental parameters, such as the number and type of electrodes, the
shape of the excitation waveforms, and the duration and amplitude of such
waveforms can usually be changed, by configuring the measurement device
accordingly.
Many different measurement schemes can be obtained by combining
different excitation functions and data recording criteria; we can mention
here linear sweep chronoamperometry, where current is recorded as a func-
tion of time with a linear (ramp) excitation, and pulse polarography, where
a current-potential response is obtained, according to the varying amplitude
344
ELECTROCHEMICAL SENSING METHODS
of the potential steps applied. Even if the terms seem quite exchangeable in
the literature, according to a IUPAC recommendation, the term ‘polaro-
graphy’ should be used only with liquid renewed working electrodes, such
as the dropping mercury ones (DME).
Ramp signals and rectangular pulses may also have small amplitude
alternating signals superimposed; such small amplitude potential changes
give the possibility to work in a region where the current is dominated by
electrode kinetics, while large amplitude steps go directly to the mass-
transfer controlled region. Deep explanations of this family of methods can
be found in a rich literature available (Bard and Faulkner, 1980, 2000;
Janata, 1989; Bond, 1980; Macdonald, 1977), going outside the aim of this
chapter.
1.4. CONDUCTIMETRY
Conductance and impedance measurement techniques play a significant role
in the arena of electrochemical methods. The current flowing in a solution
under the influence of an electric field is due to the migration of ions;
individual ionic currents are proportional to the strength of such field, and
are determined by the balance between the frictional drag and the said
electric field, which bounds the terminal velocity of each ionic species, thus
its associated current density.
Conductance, which is the reciprocal of resistance, is generally defined
for a given volume, delimited by parallel current flow lines, as:
L
S
G
V
(5)
where:
ı is the electrical conductivity of the medium,
S is the cross-sectional area of two finite surfaces normal to the flow
lines,
L is the path length between the two said surfaces.
G is expressed in ȍ
–1
(or Siemens), while ı, which is an intrinsic property
of the solution, is expressed in ȍ
–1
cm
–1
.
The contribution of each ionic species in the solution to the total con-
ductivity is called transference number, and is defined in the following way:
¦
j
jjj
iii
i
zCu
zCu
t
(6)
345
A. SCOZZARI
where:
i, j are the subscripts denoting the generic i, j ion species,
u
i
is the mobility of the generic i-th ion species,
C
i
is the concentration of the generic i-th ion species,
|z
i
| is the normalized charge for the generic i-th ion species.
In most of the applications, the conductivity of a solution is measured in
a two-electrodes cell configuration, with two identical metal electrodes;
conductance is usually measured between the two terminals, either by mea-
suring the current flowing at a known imposed voltage, or by measuring the
potential drop at a known injected current, finally, various versions of
bridge configurations have been seen in the literature.
In order to avoid the effects of polarization and of faradaic processes on
the measurement (represented in the model by the double-layer capacitor
and the faradaic impedance), periodic and alternating excitation signals are
generally chosen. Both pure sinusoidal signals and rectangular pulses have
been proposed in the literature, with different approaches as to sampling,
rectification and filtering of such signals; even other waveshapes have been
experimented, such as triangular ones (Luce, 1986).
Typical probes for measuring the conductivity of a solution are made by
two facing Pt plates, coated with a colloidal deposit of “platinum black”,
confined into an electrically isolated environment in order to bound the cell
volume precisely. The advantage of platinum black lies in its large effective
wet surface with respect to its actual geometry, thus limiting the effects of
adsorption due to fast electrode reactions that may happen during each half-
cycle of the excitation signal.
Other materials, such as titanium cladded with platinum, have been pro-
posed (Iwamoto, 1993); also, graphite electrodes are available on the market
and carbon-filled polymers are proposed for conductivity measurements in
microdevices(Baldock et al., 2003).
There are alternatives to the two-electrodes approach used in practice,
such as a four-electrodes configuration, where current is injected through a
pair of electrodes and voltage is measured across the other two electrodes
with an high input impedance device, being substantially prevented from
interfacial effects due to the transit of current. In addition, non-contact
inductive sensors are sometimes used in the industry, but their description
goes beyond the scope of this chapter.
346
ELECTROCHEMICAL SENSING METHODS
2. Recent Developments and Applications
2.1. IMPEDANCE MEASUREMENTS
The measurement of a purely dissipative (real) impedance parameter of a
fluid, such as the conductivity, represents a limited source of information
with respect to its complete behavior as a function of frequency. In fact,
depending on the frequency content of the excitation signal used, the elec-
trical behavior of the circuit under measurement (the cell) changes in a way
that makes a purely resistive model unsatisfactory.
When dealing with conductivity measurements, the excitation wave-
forms and frequencies are selected in order to extract information about the
real part of the impedance under measurement, trying to work in a region
where undesirable effects (i.e. polarization and faradaic processes) are
negligible.
Characterization and quality control of organic matter and materials,
instead, get the information from the whole impedance, often denoted by
the frequency behavior of a sample; amplitude and phase information are
often put in terms of concentrated parameters of an equivalent electrical
circuit.
Examples of recent applications of impedance measurement techniques
regard the usage of faradaic impedance spectroscopy for the development of
enzyme sensors, immunosensors and DNA sensors; in this case, the faradaic
impedance spectroscopy has been proposed in association with chrono-
potentiometry as a mean to follow biocatalytic precipitation processes in
biosensing applications (Alfonta et al., 2001).
Other examples of biosensing transduction by using impedance spectro-
scopy techniques may regard the detection of bacterial cells by directly
measuring the impedance of the bacterial cell suspensions (Yang, 2008),
and some studies for the detection of enzyme activity by the degradation of
the gelatine coating of interdigitaded electrodes, indirectly affecting the
measurable impedance (Saum et al., 1998).
There are also recent theoretical works, which look for a deeper know-
ledge about the impedance measurement of an electrochemical cell and its
fundamental mechanisms. The study of non-linear impedance spectroscopy,
due to second-order effects (Mishuk et al., 2002), gives a good example of
such basic research, which is still fully alive.
347
A. SCOZZARI
sensor arrays for the characterization of liquids.
In this context, data fusion between different sensor modalities and
feature extraction techniques applied to multisensor data, have been fre-
quently proposed and studied in the recent literature. There are a number of
applications where an automatic (and fast) quality assessment of a resource
attracts scientific and industrial interests; among the many which have been
proposed we can mention: food and beverage quality tests, pollution moni-
toring of surficial and ground water, drinking water quality tests and classi-
fication, including water distribution networks.
The fundamental idea that lies behind such devices is their capability to
provide an aggregate of chemical information, useful for characterizing the
liquid being measured, or, to provide alarms upon the detection of changes.
Sometimes, especially in the most recent literature, this class of devices is
referred to as “electronic tongue” or “e-tongue” devices. This is the wet-
counterpart of the e-nose concept, which has been very much explored in
the scientific literature, especially in the early 90s.
Several chemometric methods, based on the multicomponent analysis of
signals generated by an array of cross-sensitive potentiometric sensors, have
been proposed. Sometimes, these are also combined with completely different
sensor modalities, such as spectrophotometry and/or gas chromatography of
the gases separated in the head space of an equilibrium cell.
An example of an array of screen-printed electrodes made of carbon
paste on a polymeric substrate is given by Lvova et al. (2002); other examples
about the usage of non-specific arrays of sensors can be found in the last ten
years (Ciosek et al., 2004; Legin et al., 1999). Both the latter two examples
propose arrays of Ion-Selective Electrodes as a sensory interface to the
liquid under measurement, making use of custom-made selective membranes,
commercial electrodes and also solid-metal electrodes. Good results in terms
of discrimination capability have been shown in the classification of fruit
juice, wine and water, in the experiments which have been published.
Data fusion between potentiometry, gas chromatography and spec-
trophotometry is presented by Rodriguez-Mendez et al. (2004) for the char-
acterization of wines, while a general approach for the combination of
liquid-phase information (electronic tongue) and vapor-phase information
(electronic nose) is proposed by Winquist et al., (1999), where the liquid-
phase device is based on voltammetry, as it will be explained in the next
paragraph.
348
2.2. POTENTIOMETRIC MEASUREMENTS
A good part of the development of new transducers still relies on poten-
tiometric techniques; one of the major application frameworks, that populated
some literature in the last fifteen years, consists into the development of
ELECTROCHEMICAL SENSING METHODS
2.3. VOLTAMMETRY
Voltammetry has been recently proposed as a possible tool for the
characterization of liquids with a non-conventional chemometric approach.
This mature sensor technique, with the aid of a suitable signal processing
methodology, has proven to be an interesting option for the continuous
monitoring of a process, thanks to its very low analytical limits and to the
large amount of data that it is possible to obtain, particularly with “pulse
polarography” experiments. Both the ability to classify samples and the abi-
lity to detect changes in a solution under measurement have been investi-
gated in recent works.
The usage of pulse voltammetry, with a series of rectangular pulses
modulated by a ramp, has been presented in different contexts (Winquist
et al., 1999; Scozzari et al., 2005) as an efficient sensor technique for auto-
matic classification/characterization purposes. In fact, some recent deve-
lopments (Robertsson and Wide, 2005; Scozzari et al., 2007) are concerning
signal processing aspects, in the framework of pattern recognition techni-
ques for automatic monitoring systems. In the works cited, focus has been
given to the drinkable water distribution surveillance and to food processing
applications.
This kind of measurement approach is often catalogued in the literature
as belonging to the family of e-tongue devices, this time relying on voltam-
metry as a sensor technique.
The large multivariate space (Scozzari et al., 2007), generated by the
time series of the current signals acquired, requires a suitable processing
in order to extract the useful information; such processing steps may be
resumed in:
x reduce the dataset with the minimum loss of information,
x extract the salient features from the reduced data-set to make a correct
characterization of the sample.
The performance of such systems is generally expressed in terms of:
x capability to discriminate between different classes of liquids (i.e. dif-
ferent brands of bottled mineral water),
x capability to detect changes in the electrochemical behavior of a solution
(change detection, i.e. due to pollution).
The latter being particularly interesting for what regards the detection of
pollutants, poisons, or simply any alteration in a process under monitoring.
Promising results have been published, essentially in the area of water
quality assessment and beverage industry, by using pulse voltammetry with
a set of solid metal switched working electrodes, made by different metals
(Krantz-Rulcker et al., 2001; Scozzari, 2007). Also, an application example
349
A. SCOZZARI
regarding the quality control in the production of food for children has
recently been proposed (Robertsson and Wide, 2005).
In the framework of possible applications to drinkable water monitoring,
the capability to detect changes in water due to slight levels of pollution by
organics and pesticides have been investigated (Scozzari, 2007), showing
detectible limits compatible with drinkable water regulations.
Finally, methods based on polarography and chronoamperometry are
still matter of research; as an example, the development of biosensors cited
in paragraph 2.1 combines impedance spectroscopy with chronoampero-
metry (Alfonta et al., 2001), in order to determine the charge-transfer re-
sistance in the measurement of the faradaic impedance.
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V. Evangelista et al. (eds.), Algal Toxins: Nature, Occurrence, Effect and Detection.
ODDITIES AND CURIOSITIES IN THE ALGAL WORLD
LAURA BARSANTI
1
, PRIMO COLTELLI
2
, VALTERE
EVANGELISTA
1
, ANNA MARIA FRASSANITO
1
,
VINCENZO PASSARELLI
1,
NICOLETTA VESENTINI
3
AND PAOLO GUALTIERI
1
*
1
Istituto di Biofisica C.N.R.,
2
Istituto Scienza e Tecnologia
dell’ Informazione C.N.R.,
3
Istituto di Fisiologia Clinica
C.N.R. Area della Ricerca di Pisa, Via Moruzzi 1, 56124,
Pisa, Italy
assemblage, of O
2
–evolving, photosynthetic organisms. The profound diver-
sity of size, shape, habitat, metabolic traits and growth strategies makes this
heterogeneous assemblage of both prokaryotic and eukaryotic species an
almost unlimited source of curious and unusual features. Algae display an
incredible adaptability to most environments, and provide an excellent sys-
tem for testing hypotheses concerning the evolution of ecological tolerance.
In fact, they are not limited to temperate waters, but can survive at very low
depth and very low irradiance, and thrive beneath polar ice sheets. Upon
adaptation to life on land, algae have colonized such surprising places, as
catacombs, tree trunks, hot springs, and can also resist desiccation in the
desert regions of the world. Moreover, relations between them and other
organisms, which include competition within and between species for space,
light, nutrient or any limiting source, are based on a variety of associations,
which includes epiphytism, parasitism, and symbiosis. Algae can share their
life with animals, growing on sloth hair, inside the jelly capsule of amphi-
bian eggs, upon the carapaces of turtles or shells of mollusks, camouflaging
the dorsal scute of harvestmen. They can also light up the sea at night, and
cause infections in animals and humans.
______
*To whom correspondence should be addressed. Paolo Gualtieri, Istituto di Biofisica C.N.R., Area
della Ricerca di Pisa, Via Moruzzi 1, 56124, Pisa, Italy. Email: paolo.gualtieri@pi.ibf.cnr.it
353
Abstract: The term algae refers to a polyphyletic, non-cohesive and artificial
© Springer Science + Business Media B.V. 2008
L. BARSANTI ET AL.
Keywords: Algae, extreme environments, mutualisms, blooms, bioluminescence,
1. Introduction
The term algae has no formal taxonomic standing, nevertheless it is routinely
used to indicate a polyphyletic, non-cohesive and artificial assemblage, of
O
2
–evolving, photosynthetic organisms (with several exceptions of color-
less members, which are undoubtedly related to pigmented forms). No
easily definable classification system acceptable to all exists for algae, since
taxonomy is under constant and rapid revision at all levels following every
day new genetic and ultrastructural evidence. Keeping in mind that the
polyphyletic nature of the algal group is somewhat inconsistent with tradi-
tional taxonomic groupings, though they are still useful to define the general
character and level of organization, and aware of the fact that taxonomic
opinion may change as information accumulates, the tentative scheme re-
ported in Table 1 of chapter one of this book is adopted (Barsanti and
Gualtieri, 2006).
This review is meant to discuss these diverse organisms from a different
perspective by focusing on some of their more unusual characteristics or
oddities. The oddities we will deal with are quite diverse, since we came across
them studying the algal world in its different aspects. The world of any
organism results from the interaction of both abiotic (physiochemical) and
biotic factors. Among the major physiochemical factors affecting algae are
light, temperature, salinity, nutrient availability. Among biotic factors are
relations between algae and other organisms, which include competition
within and between species for space, light, nutrient or any limiting source,
and a variety of associations, which includes epiphytism, parasitism, and
symbiosis. The interactions between these different variables can both hide
and reveal odd traits of algae.
2. Occurrence and Distribution
Algae can be aquatic or subaerial, when they are exposed to the atmosphere
rather than being submerged in water. Aquatic algae are found almost any-
where from freshwater springs to salt lakes, with tolerance for a broad range
of pH, temperature, turbidity, O
2
and CO
2
concentration. They can be
planktonic, as are most unicellular species, living suspended throughout the
lighted regions of all water bodies including under ice in polar areas. They
can be also benthonic, attached to the bottom or living within sediments,
limited to shallow areas because of the rapid attenuation of light with depth.
354
protothecosis
HOW ODD ALGAE CAN BE
Benthic algae can grow attached on stones (epilithic), on mud or sand
(epipelic), on other algae or plants (epiphytic) or on animals (epizoic). In
the case of marine algae, other terms can be used to describe their growth
habits, such as supralittoral, when they grow above the high tide-level, within
reach of waves and spray; intertidal, when they grow on shores exposed to
tidal cycles, or sublittoral, when they grow in the benthic environment from
the extreme low-water level to around 200 m deep, in the case of very clear
water.
Dealing with subaerial algae, oddities do not lack; upon adaptation to
life on land, algae have colonized such surprising places, as hot springs,
catacombs, and they can also be found embedded within desert crust or
sharing their life with animals.
2.1. LOW DEPTH
The depth record is held by dark-purple crustose coralline algae collected at
268 meters, where the faint light is blue-green and its amount is approxi-
mately 0.0005% of the surface value (Markager and Sand-Jensen, 1992;
Gattuso et al., 2006). Considering that “full sun” (i.e. irradiance in the middle
of the day) shines approximately 10
4
mol photons m
–2
year
–1
on the earth
surface (Littler et al., 1985; Spalding et al., 2003), 0.0005% is equivalent to
a photon flux of only 5 mol photons m
–2
year
–1
during full sunlight at its
maximum zenith. At these depths the red part of the sunlight spectrum is
filtered out from the water and not enough energy is available for photo-
synthesis. These red algae are able to survive in the dark blue sea because
they possess accessory pigments, including carotenoids, xantophylls and
phycobiliproteins, that absorb light in spectral regions different from those
of the green chlorophylls a and b. This absorbed light energy is channeled
to chlorophyll a, which is the only molecule able to convert sunlight energy
into chemical energy (Barsanti et al., 2007). Due to the presence of these
pigments, the green of their chlorophylls is masked and these algae look
dark purple.
Also green algae occur to depths comparable with those of red algae. In
the temperate western North Atlantic, green algae such as Derbesia marina
(Chorophyta) may occur with red algae in the deep clear waters of the con-
tinental shelf to at least 30 m, (Sears and Cooper, 1978; Lewbel et al., 1981).
In southern California, an encrusting Codium sp. (Chorophyta) was found
at 91 m (Lissner and Dorsey, 1986). The occurrence of these green algae in
deep water is not surprising, because many deep-water green algae, including
the Derbesiales and Codiales, have been found to contain siphonaxanthin, a
carotenoid capable of absorbing the green light prevalent in deep waters
(Yokohama et al., 1977; Yokohama, 1981). Palmophyllum umbracola, one
355
L. BARSANTI ET AL.
of the deepest occurring Chlorophyta (70 m), (Hanisak and Blair, 1988),
also possesses an unidentified orange pigment (Nelson and Ryan, 1986) that
may be siphonaxanthin.
2.2. COLD ENVIRONMENTS
Other unusual and extreme habitats for algae are represented by very cold
environments, such as platelet ice layer, the snowfield and the glaciers,
(Leya et al., 2000). Algal cells adapting to cold temperatures have to take
care of the following three processes: (1) changing the ratio of saturated and
unsaturated fatty acids in the lipids of the cell membranes to maintain
membrane fluidity (Morris et al., 1981; Roessler 1990), (2) adjusting the
permeability of the cell membrane for water to react to osmotic changes of
the outer medium (Kawecka, 1986), and, (3) when exposed to freezing
temperatures, reducing the water content of the cell interior to prevent ice
crystal formation (Bunt, 1968; Giese, 1973).
The platelet ice layer consists of a lattice of flat, disk-shaped ice crystals
that accumulate to a thickness of up to several meters under sea ice located
adjacent to floating ice shelves (Dayton et al., 1969, Smetacek et al., 1992).
Because it is submerged beneath 1–2 m of consolidated ice, irradiance rea-
ching the platelet ice is first attenuated by the overlying snow cover, sea
ice crystals and brine inclusions, particles, and soluble material (Robinson
et al., 1995), resulting in a light field that is reduced in magnitude and
restricted in spectral distribution (Palmisano et al., 1987a; SooHoo et al.,
1987; Arrigo et al., 1991; Robinson et al., 1995). Nevertheless, reports of
high algal production and biomass accumulation in the platelet ice of the
Weddell and Ross Seas (Antartica) (Bunt and Lee, 1970; Grossi et al., 1987,
Smetacek et al., 1992, Arrigo et al., 1995) attest to the success of the pla-
telet ice microalgal community at growth in these low light conditions.
Phyllophora antartica (Rhodophyta) is a representative alga in this environ-
ment. The structure of the platelet ice layer provides a large surface area for
the attachment and growth of microalgae (Arrigo et al., 1993). In addition,
the fixed position of the platelets provides a stable substrate that isolates the
algae from vertical mixing and holds them in a higher and less variable light
field than that available within the underlying water column. Vertical
compression of the biomass also reduces the fraction of PAR absorbed by
the ice/water milieu of the platelet layer and increases the fraction absorbed
by the algae for use in photosynthesis (Arrigo et al., 1993). The algae in-
habiting the platelet ice layer are extremely shade adapted, typically attain-
ing maximum photosynthetic rates at an irradiance lower than 500 mol
photons m
–2
year
–1
(Palmisano and Sullivan 1985; Palmisano et al., 1987b;
Arrigo et al., 1993; Robinson et al., 1995).
356
HOW ODD ALGAE CAN BE
The successful exploitation of the Antarctic platelet ice layer by sea ice
microalgae for growth results from a unique combination of physical pro-
perties and biological adaptations, (Cota, 1985; Dieckmann et al., 1992;
Lizotte and Sullivan 1992; Lizotte et al., 1998; Thomas and Dieckmann,
2002). Adaptive features include pigments, polyols (sugar alcohols, e.g.
glycerin), sugars and lipids (oils), mucilage sheaths, motile stages and spore
formation. Moreover, since the algae living in regions that receive full solar
exposure are adapted to high UV light environment, they can augment their
UV protection capacity especially during summer months by producing
secondary metabolites including phenylpropanoids, carotenoids, xantophylls,
and mycosporine amino acids (Bidigare et al., 1993; Ryan et al., 2002).
True snow algae are defined as those that grow and reproduce wholly
within the water retained by snow during snowmelt. During summer months
large blooms occur, which can reach cell concentration of 10
6
cells mL
–1
and
color whole snow banks red, orange, green or gray depending on the species
and habitat conditions. Most snow algae belong to Chlorophyta, such as
Chloromonas rubroleosa and Chlamydomonas nivalis. These algae color
the snow red, due to the excess of carotenoids and xantophylls (Müller et al.,
1998; Hoham and Blinn, 1979; Kol and Eurola, 1974; Thomas, 1972; Kol,
1969). Species from other algal groups are also important and the dominant
alga in many of the glaciers around the world is the saccoderm desmid
Mesotaenium berggrenii (Chlorophyta), an alga that colors the snow grey,
due to its iron tannin compounds, (Ling and Seppelt, 1990; Yoshimura
et al., 1997).
Snow algae go through a complex life history, involving motile vegetative
stages that undergo syngamy and thick-walled resting spores and zygotes.
The latter allow them to survive the time when the snow has completely
melted, and probably to be spread by wind (Muller et al., 2001). Many of
these algae possess vegetative and or motile cells that are usually green in
color and immotile spores or cysts that may be red, orange or yellow green
in color. The green vegetative cells color the snow green, whereas the red
and orange snow are generally caused by the spore stages though some
snow algae may be red-pigmented in their vegetative state. The spores
usually have thick walls and large amounts of lipid reserves, polyols and
sugars. They are able to withstand sub-zero temperatures in winter and also
high soil temperatures and desiccation in summer, which would kill normal
vegetative cells. The motile stages enable them to re-colonize the snow from
germinating spores left behind on the soil as well as to position themselves
at the optimum depth for photosynthesis in the snow/ice column. The cells
of some species also secrete copious amounts of mucilage which enable them
to adhere to one another and to snow crystals and prevent the cells from
being washed away by melt water. The mucilage also forms a protective
357
L. BARSANTI ET AL.
coat and delays desiccation, and it may have an additional function as an
UV shield. A few species are common worldwide, but others are restricted
to either the Northern or Southern Hemispheres.
Snow algae sustain a highly diverse microbial community on snow fields
and glaciers, which is composed of bacteria, heterotrophic flagellates and
ciliates. These organisms in turn, sustain a community of cold-adapted animal
species, such as midges, copepods and snow fleas on Himalayan glaciers,
and ice worms and collembolas on North American glaciers (Aitchison,
2001; Kikuchi, 1994; Kohshima, 1984; Goodman, 1971). Blooms of snow
algae can reduce the surface albedo, (i.e. the ratio of reflected to incident
light, see later) of snow and ice, and largely affect their melting, (Takeuchi
et al., 2001; Kohshima et al., 1993).
The ecology of snow algae is important for understanding the glacial
ecosystem since they can be used as indicators to date ice cores drilled from
glaciers. Their biomass and community structure inside ice cores may also
provide information on the paleo-environment (Yoshimura et al., 2006).
2.3. HOT SPRINGS
Another example of ecological diversification of algae is the colonization of
alkaline hot spring habitats across western North America, Asia, Africa, and
possibly Europe by members of the genus Synechococcus (Cyanophyta),
(Castenholz, 1996). Hot spring outflows typically exhibit marked tempera-
ture gradients, and microbial communities containing Synechococcus gene-
rally develop in these systems at temperatures between about 45°C and
73°C, which is the thermal maximum for photosynthetic life (Brock 1967,
Castenholz, 1999; Brock, 1978). Studies on the behavior of C-phycocyanin
from Synechoccocus lividus showed that purified C-phycocyanin is stable
up to least 70°C and it is highly aggregated with identical spectroscopic
behaviors at 20°C and 70°C (Edwards et al., 1996; Edwards et al., 1997). For
these characteristics, it is termed temperature resistant protein (Samsonoff
and MacColl, 2001).
The biology of acid hot springs is quite different from that of the
neutral/alkaline springs. Though most thermo-acidophiles are prokaryotes
(Archea and Bacteria), photosynthetic prokaryotes, such as cyanobacteria,
are completely absent from acid water even when the temperature has
dropped to quite low values. The photosynthetic microorganisms of such
acid water are rare kinds of eukaryotes found no where else on earth, the
Cyanidiales, a group of asexual unicellular red algae (Cinilia et al., 2004).
The main representative in hot acid springs is Cyanidium caldarium
(Rhodophyta), an organism of unusually evolutionary ancestry, which can
grow even when the acidity is close to zero and maintain its intracellular
358
HOW ODD ALGAE CAN BE
pH at close to neutral. How this important physiological resistance is achi-
eved is still not understood, though a strong proton pump or a low proton
membrane permeability are possibilities. The upper temperature limit for
Cyanidium is about 56°C, lower than that of the cyanobacteria as would be
expected since Cyanidium is a eukaryote. As in the case of Synechococcus,
C-phycocyanin from Cyanidium fits the characteristics of a temperature-
resistant protein. Its hallmark for stability is to remain inflexible toward
structural change over a wide range of temperatures from 10°C to 50°C. The
protein denatures irreversibly at the temperature at which the alga is no
longer viable between 60°C to 65°C, (Eisele et al., 2000).
2.4. CATACOMBS
Different species of terrestrial epilithic cyanobacteria, such as Leptolyngbya
sp. and Scytonema sp., occurring in Roman hypogea, inside St. Callistus and
Priscilla Catacombs, live under extremely low photon fluxes, 3–30 mol pho-
tons m
–2
year
–1
(Albertano et al., 2000), similarly to deep-water algae. At
this extremely low photon fluxes, these algae can grow because of the pre-
sence of phycobyliproteins organized in phycobilisomes in the thylakoid
membranes inside the cell that transfer their absorbed extra energy to
chlorophylls. They sense the light direction by means of a photoreceptive
apparatus that is located in the apical portion of the tip cell, which is com-
posed by a carotenoid-containing screening device and a light detector based
on rhodopsin-like proteins, (Albertano et al., 2001).
2.5. DESERT CRUSTS
Crusts can be defined as microbiotic assemblages formed by living org-
anisms and their by-products, creating a complex surface structure of soil
particles bound together by organic material. Some crusts, are characterized
by their marked increase in surface topography, often referred to as pinn-
acles or pedicles (Anderson and Rushefort, 1977). Other crusts are merely
rough or smooth and flat (Johansen, 1993). The process of creating surface
topography, or pinnacling, is due largely to the presence of filamentous
cyanobacteria and green algae. These organisms swell when wet, migrating
out of their sheaths. After each migration new sheath material is exuded,
thus extending sheath length. Repeated swelling leaves a complex network
of empty sheath material that maintains soil structure after the organisms
have dehydrated and decreased in size (Belnap and Gardner, 1993; Barger
et al., 2006).
Algal crusts of desert regions have been suggested to retard soil erosion
(Booth, 1941; Fletcher and Martin, 1948; Shields and Durrell, 1964; Metting
359
L. BARSANTI ET AL.
1981; Mucher et al., 1988; Liu and Ley, 1993; Johansen, 1993; St. Clair
et al., 1986), which generally includes rain and wind erosion. Although the
erodibility of soil with and without crusts has been quantified (Booth 1941;
Loope and Gifford, 1972; Brotherson, and Rushforth, 1983; Gillette and
Dobrowolski, 1993; Maxwell and McKenna Neuman, 1994; Liu et al., 2001),
only few studies have been focused on the specific effects of different algae
in stabilization of sand dunes. The recovery rate of cryptogamic crusts (i.e.
a thin crust made up of mosses, lichens, algae, and bacteria) in natural and
artificial conditions has been examined (Belnap, 1993; St. Clair et al., 1986),
as well as the effect of the wind regime (including wind force and types),
moisture, crust development, soil texture, vegetation coverage, season and
human activity on algal crust integrity, (Belnap and Gillette, 1997,1998;
Brotherson and Rushforth, 1983, Dong et al., 1987, Hu et al., 1991, Liu et al.,
1994, Williams et al., 1995). Most algal crust formation in arid area is
initiated by the growth of cyanobacteria during episodic events of available
moisture with subsequent entrapment of mineral particles by the mechanical
net of cyanobacterial filaments and glue of extra-cellular slime, (Johansen
1993; Belnap and Gardner, 1993). Algal crusts are critical to the ecosystem
in which they occur. Evidence has shown that they may play important roles
in the stabilization of soil surfaces and the improvement of soil structure,
contributing significantly to soil fertility of these regions through such
processes as nitrogen fixation, excretion of extracellular substances, and reten-
tion of soil particles, organic matter and moisture (Hu et al., 2002; Li et al.,
2002; Barger et al., 2006). Nitrogen fixation by cyanobacteria and lichens
(due to their symbiotic cyanobacteria) comprising the crusts is the primary
source of nitrogen input in many of the arid ecosystems on a worldwide
basis. The fascinating points herein are why and how the algal crusts, only a
few millimeters thick, play such important roles, and how the relevant orga-
nisms survive and even flourish in such a harsh environment with extreme
desiccation, strong radiation, and large fluctuation of temperature (Evans
and Johansen, 1999; Wynn-Williams, 2000).
Systematic investigations of algal crusts conducted in the Tengger Desert
(China) have provided data on the vertical microdistribution of cyanobacterial
and algal species within samples aged 42, 34, 17, 8, 4 years (Hu et al.,
2003). This vertical distribution was distinctly laminated into an inorganic-
layer with few algae (0.00– 0.02 mm,), an algae-dense-layer relatively compact
and densely inhabited with algae (0.02–1.0 mm) and an algae-sparse layer
(1.0–5.0 mm). Due to extremely high irradiation, the surface of the inorganic
layer was the harshest microenvironment of the desert crusts, and therefore
was colonized only with Scytonema javanicum, and Nostoc flagelliforme
(Cyanophyta), desiccation-tolerant species possessing high UV screening
pigments. These two heterocystous, diazotrophic species were the only algae
360
HOW ODD ALGAE CAN BE
found at the depth of approximately 0.02–0.05 mm, while around 0.05–0.10
mm, the coccoid green alga Desmococcus olivaceus (Chlorophyta), charac-
terized by strong resistance to stressful environments, was the dominant
species. The biggest algal biovolume was present at 0.10–0.15 mm, with the
dominance of Microcoleus vaginatus (Cyanophyta), a sheath-forming and
polysaccharide-excreting cyanobacterium capable to stabilize sand grains.
The diversity of algal species was the largest in all the crust samples at
the depth of approximately 0.15–0.50 mm. Filamentous (Anabaena azotica,
Phormidium tenue, Lyngbya cryptovaginatus) and unicellular cyanobacteria
(Gloeocapsa sp., Synechocystis pevalekii) unicellular coccoid green algae
(Chlamydomonas sp., Chlorococcumhumicola, Chlorella vulgaris and Pal-
mellococcusminiatus), diatoms (Naviculacryptocephala, D. vulgare var. ovalis
and Hantzschia amphioxys) and euglenoids (Euglena spp.) were present.
Within the range of approximately 0.50–1.00 mm there were much more
green algae and euglenoids than in the other strata. Because the upper 1 mm
of the crust was the euphotic zone (i.e. the zone where enough light pene-
trates for photosynthesis to occur), more than 96% algal bio-volume was
distributed in this algae-dense-layer (0.02–1.0 mm). By the algae-sparse-layer,
dramatically reduced irradiance was inadequate for efficient photosynthesis
and therefore this layer had only about 4% of the total algal bio-volume. At
1.0–2.0 mm, species usually found were L. cryptovaginatus, M. vaginatus,
P. tenue, S. pevalekii, N. cryptocephala and H. amphioxys. At the depth of
approximately 2.0–3.0 mm, P. tenue was the dominant species together with
diatoms, mainly N. cryptocephala and H. amphioxys. At the depth of ap-
proximately 3.0–4.0 mm only diatoms were present. Existence of a diatom
layer at the crust base might be the result of downward seepage of water
and the high motility of these algae.
The older the crusts, the nearer to the surface were Nostoc sp., Chlorella
vulgaris, Microcoleus vaginatus, Navicula cryptocephala and fungi, which
might be less resistant to the surface stresses. This might reflect the slow
but effective process of algal crust development at early stages, and this
process might be beneficial to the transformation from algal crusts to lichen
crusts at later stages in consideration of the integration of cyanobacteria and
green algae, such as Nostoc, with fungi to form lichen, (Hu et al., 2003).
3. Animal-Algae Interactions
Algae are involved into complex relationship with very different animals.
They have been reported to grow epizoic on sloths, polar bears, seals, frogs
and salamanders, artropods and turtles. In the case of the tree sloths, Bradypus
sp. and Choloepus sp., the algae effectively turn these animals green, giving
them excellent camouflage among the leaves. The camouflage is crucial to
361
L. BARSANTI ET AL.
the sloth’s survival, because its inability to move quickly makes it an easy
target for predators such as the harpy eagle (Harpia harpyja). Among the
many odd features of these interesting animals, perhaps the oddest of all is
their hair which, with its peculiar structure and its algal presence, is unlike
the hair of any other mammal (Gilmore et al., 2001). During the dry season,
the hair of sloths usually has a dirty brown coloration, but during long
period of rain it may show a very appreciable greenish tinge brought about
by the increased presence of symbiotic algae. The algae may already be
present in the hair of juveniles only a few weeks old and they could pro-
vide camouflage for the sloths while obtaining shelter for themselves. The
algae have a distinct distribution patterns in Choloepus and Bradypus, lying
longitudinally along the grooves in the former and in short lateral tongue or
lines in the latter. Algae representing four phyla have been cultured from
Bradypus, these being Chlorophyta, Chrysophyta, Cyanophyta, Rhodophyta,
(Thompson, 1972). The algae found on the coat of Bradypus tridactylus lie
between the cuticle scales (Aiello, 1985) and the hair changes with age in
apparently all species of Bradypus. Young hairs are white, gray, brownish
or black and do not possess the deep cracks seen in older hairs. The first
traces of algae appear on these young hairs as tiny dots or extremely narrow
transverse lines. Older hairs have larger, wider algal colonies and obvious
deep transverse cracks. When wet, these cracks close considerably, but when
dry give the effects of beads on a string. The oldest hairs are badly deterior-
ated with the spongy cuticle worn off on one side exposing the full length of
the cortex. In the older hairs living algae are absent. It was suggested (Aiello,
1985) that either the algae colonize the very narrow cracks in young hairs or
the algae themselves initiate the cracks. The hair of all the three Bradypus
species (B. tridactylus, B. variegatus and B. torquatus) readily absorbs water,
but those of Choloepus do not. Lack of healthy algal colonies has been ob-
served in Bradypus kept in captivity; since they do not survive long under
these conditions, algae have been suggested to provide nutrition or a parti-
cular trace element essential for the health of the animals (Aiello, 1985).
Polar bears (Thalarctos maritimus) normally have creamy-white fur,
presumably an adaptation for camouflage in a snowy environment. However,
cases are been reported of polar bears kept in captivity in different American
zoos, which turned green as result of algae growing on their fur (Lewin and
Robinson, 1979). The coloration was particularly evident on the flanks, on
the outer fur of the legs and in a band across the rump. This coloration was
clearly attributable to the presence of algae inside the hairs, specifically in
the hollow medullae of many of the wider (50–200 µm), stiffer guard hairs
of the outer coat. The thinner (less than 20 µm) hairs of the undercoat,
which were not hollow, were colorless. The fact that some of these lumina
were in connection with the external air or water could explain how the
362
HOW ODD ALGAE CAN BE
algal cells could have entered the hairs in the first place, and how exchange
of O
2
and CO
2
and uptake of water and mineral salts would be facilitated
and could permit growth of the algae if suitable illuminated. Such a habitat
has certain advantages, being warm and protected from most kind of poten-
tial predators. The algae isolated from the polar bear hairs and cultured
under controlled conditions were identified as cyanobacteria, (Lewin and
Robinson, 1979). Unidentified green algae are also known to color green
the fur of the monk seal (Monachus sp.), refer to http://www.pifsc.noaa.gov/
psd/mmrp/brochure.pdf).
Another mutualistic association with algae occurs in some amphibians.
All amphibians lay eggs with a jelly capsule, although the form and thick-
ness of the capsule vary widely (Duellman and Trueb, 1986; Salthe, 1963).
Some amphibians, including the spotted salamander Ambystoma maculatum
and the pickerel frog Rana palustris, embed their eggs in large masses of
relatively firm jelly, which are attached to vegetation in ponds. Other
amphibians, including the wood frog Rana sylvatica and the spotted marsh
frog Lymnodynastes tasmaniensis, lay their eggs in masses that float at the
surface of the pond or are loosely attached to vegetation. The jelly capsule,
at least in aquatically developing amphibians, protects the eggs from pre-
dators (Ward and Sexton, 1981). It also resists exchange of respiratory gases.
A further factor in gas exchange in amphibian egg masses is that many
are colonized by symbiotic algae. For example, virtually all Ambystoma
maculatum egg masses in the wild are inhabited by algae (Gatz, 1973). The
algae were first noted by Orr (1888), who speculated that they must have
considerable influence on the respiration of the embryos. It is well esta-
blished that this relationship is symbiotic. The alga Oophila ambystomatis
(Chlorophyta) is found exclusively in amphibian egg masses, mostly in
those of Ambystoma maculatum, but also in those of R. sylvatica and some
other species (Gilbert, 1942), and derives its name from the association. The
benefit to the algae may be higher CO
2
or ammonia concentrations found
inside egg capsules; algal growth is much greater in the presence of embryos
than after the embryos had been removed from the jelly (Gilbert, 1944). The
amphibian embryos also benefit, having higher hatching success and shorter
developmental times when reared with algae than without (Gilbert, 1944)
and, in egg masses with algae, higher hatching success in light than in
darkness (Breder, 1927; Gilbert, 1942). The basis for the beneficial effect of
the algae on the embryos was uncertain until the work of Pinder and Friet
(1994). These authors concluded that symbiotic algae in A. maculatum egg
masses produce more O
2
than they consume, making the egg mass hyper-
oxic in light. Because O
2
diffusing in from the water is consumed before
reaching the centre of the egg mass, O
2
produced by local algae may be the
only source of O
2
for innermost late-stage embryos.
363
L. BARSANTI ET AL.
Algae are also important for tadpoles of other amphibians, establishing
an ecologically important mutualism that is conditional and provide partner
species with novel options for adjusting to changing environment (Hay
et al., 2004). It is well know that organisms reaching their critical thermal
maximum (CTM, the minimal high deep-body temperature that is lethal to
an animal) are incapable of escaping the lethal conditions (Freidenburg and
Skelly, 2004). This holds especially true for aquatic organisms in thermally
uniform systems, which have no refuge from heat stress; further, temp-
erature increases within such systems decreases the concentration of the
necessary gases oxygen and carbon dioxide, (Wu and Kam, 2005). Aquatic
organisms that are stressed for these gases for respiration and photo-
synthesis would benefit from fortuitous mutualistic interactions in which
the “by-product” gases evolved by metabolism can be absorbed recipro-
cally. Observations were conducted on numerous tadpoles of the dwarf
American toad, Bufo americanus charlesmithi in a shallow temporary pool
subjected to extended exposure to solar radiation, located in Ashley County
(Arkansas, USA), (Tumlison and Trauth, 2006). The water became very
warm by mid-afternoon, and some of the tadpoles possessed an atypical
greenish coloration. The tadpoles were late stage, and some of them exhi-
bited well-developed legs. Microscopic examination of live tadpoles from
the pool revealed cluster of biflagellated green algae identified as Chloro-
gonium (Chlorophyta) scattered as greenish blotches over the skin, (Nozaki
et al., 1998). Individuals of this alga were observed actively flagellating to
maintain a position oriented to the skin of the tadpole. The distribution of
the alga generally followed the pattern of cutaneous blood vessels on the
dorsal surfaces of the legs, tail, and lateral body wall.
The high CTM of toads help them survive in warmer conditions and
shortens the time required for development, thereby promoting meta-
morphosis prior to desiccation of the habitat, (Noland and Ultsch, 1981).
Rates of oxygen consumption in tadpoles increase with higher temperatures,
but water at higher temperature holds a lower concentration of gases (Ultsch
et al., 1999). Although tadpoles are tolerant to warmer temperatures, the O
2
deficits can lead to respiratory distress and death. Under conditions of low
O
2,
tadpoles of some species can supplement oxygen intake by gulping air,
but the late development of the lungs precludes this in Bufo, (Duellman and
Trueb, 1994). Consumption of O
2
increases sharply prior to metamorphosis.
Thus, the warmer water contains less O
2
at a time when more may be needed.
Even after acclimatization to warmer temperatures, the CTM of tadpoles of
most anuran species is 38–40°C, with a few exceptions above 41°C in
species that develop in xeric (with very little moisture) or tropical habitats.
On the other hand, the rate of photosynthesis tends to increase with
increases in temperature up to an optimum, after which it decreases rapidly,
364
HOW ODD ALGAE CAN BE
partly limited by the availability of inorganic carbon. Growth rate of algae
slows in stagnant cultures because the rate of diffusion of CO
2
from the air
become limiting, partly because CO
2
diffuses 10
4
times faster in air than in
water. Green algae (Chlorophyta, including Chlorogonium) tend to dominate
in temperatures of 15–30°C, but are replaced by cyanobacteria above 30°C,
(DeNicola, 1996). Thermophilic algae thrive best in waters rich in CO
2
,
where conditions necessary to maintain high rates of photosynthesis are
met, (Fogg, 1969). The pattern of association and distribution of Chloro-
gonium over the skin of tadpoles allow maximum potential for uptake of
otherwise limiting CO
2
released via cutaneous respiration by tadpoles. The
relatively small size of Chlorogonium specimens also could indicate stress.
The mean length of the cells taken from the tadpoles was 13.4 ȝm (range
7–22 ȝm), and width ranged only between 1.5–3 ȝm. The normal mea-
surements from species known to occur in the United States ranges from
19–59 ȝm in length and 5–18 ȝm in width. Smaller cells result in a higher
surface/volume ratio, which could help maximize absorption in CO
2
-limited
environment.
The CTM at which tadpoles of Bufo americanus could survive in-
dependently is 39.5°C. In a heat-stress-inducing environment, however, the
CTM could be expanded by over 4°C (to about 43°C) in the presence of a
photosynthetic, mutualistic alga such as Chlorogonium. Considering these
phenomena, it is hypothesized that the Chlorogonium and tadpoles are
exhibiting a facultative symbiosis in which tadpoles gain O
2
produced via
photosynthesis adjacent to the skin, and concomitantly Chlorogonium receive
the metabolic CO
2
evolved from the tadpoles, (Tumlison and Trauth, 2006).
Similar algal accumulations have been found on tadpoles of gray tree frogs
(Hyla versicolor) and cricket frog (Acris crepitans) at other locations within
Arkansas (USA), (Tumlison and Trauth, 2006).
Arthropods are also good host for algae. Cyanobacteria were reported to
grow epizoically on the dorsal scute of the harvestman Neosadocus sp.
(Arachnida, Opiliones), in the Cardoso Island, southeast Brazil. The epizoic
algae almost fully covered the harvestmen’s back, giving the animals a
greenish coloration contrasting markedly with the brownish body and
appendages. The growth of the algae did not affect behavior and locomotion
of the animals, which would benefit from the presence of the photosynthetic
organism by being camouflaged and thus protected from visual diurnal
predators, (Machado and Moreira Vital, 2001).
The occurrence of carapacian algae on turtle is a common phenomenon
often reported in literature. Among them the green algal genus Basicladia
Hoffman and Tilden (Chlorophyta) contains species which are specifically
epizoic on carapaces of turtles or shells of mollusks, (Normandin and Taft,
1959; Neil and Ross Allen, 1954; Ernst and Norris, 1978). Closely related
365
L. BARSANTI ET AL.
to Cladophora, Basicladia is mainly distinguished by its epizoic nature.
Five species are recognized, and all are known only from freshwater turtles
or snails. Basicladia crassa and B. chelonum have been reported from
freshwater turtles in several states of the Rocky Mountains. Outside of the
United States, B. sinensis was described from the back of a turtle brought
from China to an aquarium in California, and B. ramulosa, an exceptionally
large species, is known from Australian turtles. The fifth taxon, B. vivipara
is known only from the freshwater snail, Viviparus malleatus Reeve. In
1975, B. crassa was reported for the first time from Virginia on the carapace
of a red-bellied turtle Chrysemis rubriventris. The algae were restricted to
the turtle carapace, where they formed a wide band thickly covering the
marginals and ventral half of the pleural scutes, but thinning as it extended
dorsally. The rugose carapacial surface of this turtle is well suited for the
attachment of algal rhizoids, but the basking habit of the turtle may account
desiccation and solar radiation above the water level. Also C. rubiventris
sheds the epidermal scutes of its carapace periodically, thus freeing itself of
any algae attached. However, it is not uncommon to find “moss-back” red-
bellies in the spring, especially just after emergence from hibernation when
air temperature are still too cool for much basking. B. crassa and B.
heat than the turtles themselves. It is possible that repeated exposure to the
sun’s ultraviolet rays and the drying effect through frequent basking
associated with the grazing action of herbivorous fish or amphipods would
at least limit the growth of these algae, (Ernst and Norris, 1978).
Algae can also establish pathogenic association with both animals and
humans. Among the genera most intensely investigated is Prototheca,(Di
Persio, 2001). These algae are unicellular, spherical to oval in shape,
ranging from 3 to 30 Pm in diameter. Prototheca species are closely related
to the green alga Chlorella (Chlorophyta), but lack chloroplasts and possess
a two-layered, instead of three-layered cell wall (Joshi et al., 1975); they are
heterotrophic and require external source of organic carbon and nitrogen
(Koenig and Ward, 1983). The life cycle is similar to that of algae of the
genus Chlorella; reproduction is asexual by internal septation and irregular
cleavage, with subsequent rupture and release of 2–16 autospores through
a characteristic split in the cell wall of the parent cell. Released autospores
then go on to develop into mature cells (Pore, 1998a). The taxonomic status
of the genus Prototheca has changed during the last decades and curren-
tly the following four species are assigned to this genus: P. zopfii, P.
wickerhamii, P. stagnora, P. ulmea and P. blashkeae (Roesler et al., 2006).
A fifth species, P. moriformis is not generally accepted (Kruger, 1894; Pore,
1985; Ueno et al., 2003). Only two of these species have been documented
366
chelonum are able to survive periods of basking desiccation and even more
for absence of most carapacial algae since they are subject to increased
HOW ODD ALGAE CAN BE
to cause infections in humans and animals (Pore, 1998b), i.e. P. zopfii and
P. wickerhamii.
These algae are globally ubiquitous (Pore et al., 1983) and can be isolated
from various reservoirs, such as environment, animals and food. Typical
sources of Prototheca species are the slime flux of trees, fresh and marine
waters, soil and sewage, stables and animal buildings, excrement, various
animals (cattle, deer, dogs), and food items such as butter, potato peels,
bananas, cow’s milk (Pore et al., 1983; Pore, 1985; Pore, 1986).
In 1952, P. zopfii was first identified as a pathogen of bovine mastitis
associated with reduced milk production characterized by thin watery secre-
tion with white flakes (Lerche, 1952). While in the past only sporadic cases
of protothecal mastitis have been observed, this form of mastitis now occurs
endemic in the most countries of the world (Hodges et al., 1985; Costa et
al., 1996; Aalbaek et al., 1998; Janosi et al., 2001; Moller et al., 2007). This
infection represent a serious problem since the affected animals must be
culled from their herds to halt transmission of the disease (Cunha et al.,
2006).
Prototheca produce disease also in humans, and the clinical conditions
caused by this alga are generally referred to as protothecosis (Thiele and
Bergmann, 2002). The first case of human infection was diagnosed in 1961
in Sierra Leone on a rice farmer; it took the form of a verrucose foot lesion
from which P. zopfii was isolated as etiological agent. Over the following
years, the number of documented cases of protothecosis rose continuously,
with about four new cases being diagnosed every year over the past decade
(Lass-Florl et Mayr, 2007). Three clinical forms of human protothecosis
have been described: cutaneous/subcutaneous infections, olecranon bursitis,
and disseminated or systemic protothecosis. Over one-half the documented
cases of protothecosis concern cutaneous or subcutaneous manifestation,
which are often preceded by skin or wound infections (Thiele and Bergmann,
2002). The incubation time for protothecosis is not generally known, but in
situations where documented trauma is believed to be the cause (the algae
penetrate the skin following posttraumatic damage) the incubation period
has been approximately 2 weeks. The lesions are slow to develop and do
not usually resolve spontaneously. They can be eczematoid or ulcerative
(Krcmery, 2000), are present mainly in exposed areas, such as the extre-
mities and the face; they generally remain localized, though patients with
cellular immunodeficiency show a trend toward dissemination (Iacoviello
et al., 1992). Infection of the bursa subcutanea olecrani are generally pre-
ceded by injuries or grazing of the elbow; signs and symptoms appear
gradually several weeks following the trauma and include mild induration
of the bursa accompanied by swelling, tenderness, erythema and production
of serosanguineous fluid (Lass-Fllorl and Mayr, 2007).
367
L. BARSANTI ET AL.
Only a few cases of systemic disease have been reported. Most infec-
tions are likely due to traumatic implantation of organisms, but a few cases
of opportunistic infection have also been reported. Arthropod bites were
thought to facilitate transmission of this organism in at least one case (Wirth
et al., 1999). Disseminated protothecosis occurs in immuno-compromised
individuals whose resistance has been weakened by long period of treat-
ment with glucocorticoid steroids (e.g. after transplant or chemotherapy), or
suffering from diseases such as diabetes, systemic lupus erythematosus,
malignancy, or renal failure. A few cases of protothecosis in patients with
AIDS have been described, but HIV disease is not a primary predisposing
form of immunosuppression (Laeng et al., 1994). The organs most com-
monly affected in dissemination are the skin, subcutaneous tissue, gut,
peritoneum, blood.
Protothecosis as also been diagnoses among other very different spe-
cies such as dogs, cats, sheep, deer, Atlantic salmon, carp, and flying foxes,
(Thiele and Bergman, 2002).
Despite its non-photosynthetic, obligate heterotrophic nature, Prototheca
is known to have retained a plastid with starch granules; recent data indicate
that several metabolic pathways (e.g. carbohydrate, amino acid, lipid, and
isoprenoid) are located in this non-photosynthetic plastid. The reconstruct-
tion of this complex metabolic network could represent a new approach in
the treatment of protothecosis (Borza et al., 2005).
4. Dimensions
Growth of algae is possible over quite wide ranges of forms, sizes and
relative proportion of the parts. Among giant algae, giant kelp Macrocystis
pyrifera (Pheophyta) is a marine alga found along the Pacific coast of North
America from central California to Baja California, (North, 1971). It has
one of the highest growth rates of all macroscopic photoautotrophs (30–60
cm d
í1
; Gerard, 1982) and can grow up to 60 m long. This alga forms ag-
gregations known as kelp forests and the fronds form a dense canopy at the
surface. Therefore, light attenuation is high inside the kelp forest. The
irradiance at 20 m depth could be <1% of the incident light at the surface
(Dean, 1985). Therefore, photosynthetic tissue of a single organism is ex-
posed to a large gradient of light quantity and quality, (Colombo-Pallotta
et al., 2006).
The genus name Macrocystis means “large bladder” and it contains at
least two recognized species: Macrocystis pyrifera, or giant bladder kelp,
sometimes referred to as the sequoia of the sea; and Macrocystis integrifolia
the small perennial kelp. In the Northern hemisphere it occurs only along the
Pacific coasts of Canada, the United States and Baja California. Populations
368
HOW ODD ALGAE CAN BE
of Macrocystis in the North Pacific extend from Alaska to localities of cool,
up welled water in Baja California. The kelp beds along the Pacific coast
are the most extensive and elaborate submarine forests in the world. The
genus is best developed as the species Macrocystis pyrifera from the
southern California Channel Islands to northwestern Baja California.
Macrocystis plays an important role in the marine environment by pro-
viding food and habitat for a wide range of marine invertebrates and fishes
in southern California. Forests of giant kelp may support millions of indi-
vidual organisms and more than 1,000 species of marine plants and animals,
(Hepburn and Hurd, 2005). Kelp begins life as a microscopic spore that
grows into a tiny male or female plant called a gametophyte. These plants
produce eggs and sperm, which fertilize and grow to form the large plants
(sporophytes), which in turn release many new spores to start the process
over again. The minimum amount of time needed to complete the Macrocy-
stis life cycle is believed to be 12 to 14 months although in the environ-
ment, grazing by animals and shading by other plants would affect this rate
of development (Dayton, 1985).
The average kelp plant is capable of releasing trillions of spores a year.
Few, if any, of the billions of spores produced by a single mature Macrocystis
kelp plant ever make it to adult gametophytes due to burial by sand or mud
(sedimentation), competition for limited space with other plant or animal
species, the lack of light at the ocean floor due to absorption by the water or
shading by kelp and other plant species, nutrient limitation, and the effects
of animals which graze on the tiny plants. Only 1 in 100,000 young kelp
plants need to mature to reestablish the kelp beds. As the fertilized eggs
develop into microscopic sporophytes, they must avoid shading and over-
growth by other organisms; grazing by small echinoids, gastropods, micro-
crustaceans and the bat star (Patiria) as well as being buried and abraded by
sediments, (Harrold and Reed, 1985).
Although giant kelp plants are perennial, the individual fronds only sur-
and deteriorate about 6 months after they are produced. Mature fronds con-
tinually develop, then die and break away in a process known as sloughing,
giving way to the new fronds shooting up from the holdfast. Although the
individual fronds only survive for about 6 months, individual blades last
only about 4 months, (Lobban and Harrison, 1994).
At the other extreme dimensions, there are eukaryotic algae with a
diameter of <2–3 µm, the so-called “picoeukaryotes”. Up to now the smallest
of the small eukaryotic phytoplankton is considered Ostreococcus tauri
(Chlorophyta) (Derelle et al., 2006). The size of this organism is about that
of a typical bacterium. Its genome is equally remarkable for its small size
and extreme compactness; it is also unexpectedly complex and provides a
369
vive for about 6–9 months. Fronds of mature kelp plants become senescent
L. BARSANTI ET AL.
fascinating glimpse into the genetic makeup and metabolic potential of the
smallest known eukaryote at the base of the marine food chain (Archibald,
2006).
Ostreococcus tauri, together with its close relatives, has become the
focus of concerted efforts to understand the global distribution and eco-
logical significance of eukaryotic picoplankton. Ostreococcus tauri was
first discovered in 1994 in France’s Thau lagoon, a shallow offshoot of the
Mediterranean Sea known for its oyster farming. Barely 1 µm in diameter
and practically invisible under the light microscope, O. tauri was detected
by flow cytometry and hailed as the “smallest eukaryotic organism” (Courties
et al., 1994). Its ultrastructure proved to be shockingly simple: O. tauri cells
lack flagella and a cell wall and contain one mitochondrion, one chloroplast,
a single Golgi apparatus, and a nucleus containing a single nuclear pore.
Molecular data (Guillou et al., 2004) indicate that O. tauri belongs to a
class of green algae called Prasinophyceae, a lineage thought to be of key
importance in elucidating the earliest events in the evolution of chlorophyll
b-containing organisms. Ostreococcus tauri appears to be ubiquitous in coa-
stal waters and in the open ocean, and its minimal cell structure and high
growth rate have made it a promising model picoeukaryote.
The complete genome sequence weighs 12.56 Mbp and is composed of
20 linear chromosomes, making it among the smallest, although not the
smallest, nuclear genome of a free-living eukaryote characterized thus far
(that honor belongs to the 9.2-Mbp genome of the fungus Ashbya gossypii
(Dietrich et al., 2004). Derelle et al. (2006) raise the possibility that chro-
mosome 2 is a sex chromosome, however meiosis has never been observed
in O. tauri, although the presence of a near-complete set of meiotic genes
encoded in its genome suggests that sex is at least a possibility (Ramesh
et al., 2005).
What does such a small genome reveal about the cell biology and
metabolism of this tiny alga? The genome possesses complete or nearly
complete gene sets for proteins involved in cell division, starch metabolism,
and nitrogen assimilation, as well as a diverse set of transcription factors and
proteins with putative kinase- and calcium-binding domains. As expected, a
complete suite of enzymes essential for carbon fixation and the Calvin cycle
are present, as is a complex gene family encoding prasinophyte-specific
light-harvesting antenna proteins. Most unexpected is the presence of genes
implicated in C4 photosynthesis. C4 carbon fixation is an improvement
over the simpler and more ancient C3 carbon fixation strategy used by most
algae and plants. C4 photosynthesis is thought to have evolved multiple times
from C3 ancestors. Although timing is uncertain, it is currently thought to
have first evolved 24–35 million years ago in relation to environmental
pressures (e.g. declining atmospheric CO
2
) (Giordano et al., 2005; Sage,
370
HOW ODD ALGAE CAN BE
2004). Both C3 and C4 methods overcome the tendency of ribulose-1,5-
biphosphate carboxylase-oxygenase (rubisco, the first enzyme in the Calvin
cycle) to waste energy by using oxygen to break down carbon compounds
to CO
2
. C4 plants separate rubisco from atmospheric oxygen, fixing carbon
in the mesophyll cells and using oxaloacetate and malate to ferry the fixed
carbon to rubisco and the rest of the Calvin cycle enzymes isolated in the
bundle-sheath cells. The intermediate compounds both contain four carbon
atoms, hence the name C4. This process has evolved repeatedly in higher
plants as an adaptation to environmental stress (e.g. drought and low CO
2
concentrations) and involves modifications to leaf structure and altered
biochemistry (Sage, 2004). The existence of C4 photosynthesis in phyto-
plankton is controversial, but O. tauri appears to possess the right combi-
nation of enzymes in the right cellular locations to drive such a process, and
genes putatively encoding all enzymes required for C4 photosynthesis were
identified in its genome. Much experimentation will be required to de-
termine whether C4 photosynthesis actually occurs in the tiny cells of
O. tauri, but it is significant that its genome does not encode any obvious
“carbon-concentrating mechanism” (CCM) genes comparable with those in
Chlamydomonas or common to organisms that actively or passively enhance
inorganic carbon influx.
Despite its energetic cost, if O. tauri is capable of C4 photosynthesis, it
could constitute a critical ecological advantage in conditions of high cell
density and low CO
2
levels typical of phytoplankton blooms, especially
when competitors have lower CCM efficiencies or no CCM at all.
A very interesting algal feature as to relative proportions of the parts can
be found in the algae belonging to the family Characeae and expecially in
Chara corallina, (Yamamoto et al., 2006). The main axis of this alga con-
sists of regularly alternating discoidal nodal and long cylindrical internodal
cells that elongate up to 20 cm with a diameter of 1 mm. These cells are so
large that microelectrodes can be easily inserted for electrophysiological
studies. These cells contain well over a thousand nuclei, which are produced
by the replication of a single original nucleus by a process that does not
involve the typical mitotic apparatus. This high number of nuclei is
presumably required to balance the large increase in cell volume, which is
mediated by development of a large internal vacuole. The cytoplasm nearest
the central vacuole of these cells is an ideal site for visualizing cytoplasmic
streaming resulting from microfibrillar activity (Northnagel and Webb,
1982). Such streaming is necessary to achieve mixing and long distance
transport of cell constituent in long cells having large cytoplasmic volume,
which cannot rely on simple diffusion for the transportation and distribution
of essential molecules throughout the cell. Probably owing to this large size,
cytoplasmic streaming in characean algal cells is very fast (about 70 µm s
–1
371
L. BARSANTI ET AL.
at 20°C). The cytoplasm flows in a direction nearly parallel to the long axis
of the cylindrical internodal cell. It goes up along the inner surface of one
hemicylinder to the upper node, turns and comes down along the other he-
micylinder to the lower node, and then turns and goes up again. There exist
areas between the two hemicylinders where the direction of flow reverses
(neutral zones).
It is known that this cytoplasmic streaming is generated by the sliding
movement of a myosin along the actin cables fixed on the surface of chloro-
plasts lining the cytosolic face of the cell membrane (Kamitsubo, 1966;
Kachar and Reese, 1988; Yamamoto et al. 1994; Kashiyama et al., 2000).
Myosin from Chara corallina is very fast, moving actin filaments at 40–50
µm/s in the in vitro motility assay. This sliding velocity is about 10 times
faster than that of the fast skeletal muscle myosin (6 µm/s in the rabbit).
Chara myosin has shown to possess unique kinetic features suited for this
fast movement, namely, a dramatic acceleration of ADP release by actin
and extremely fast ATP binding rate (Ito et al., 2003; Ito et al., 2007).
5. Bloom-linked Phenomena
In general, the growth rate of a population of algae would be proportional to
the uptake rate of one limiting factor (i.e. factor available in the smallest
quantity with respect to the requirement of the alga). When the limiting
factor is a nutrient, nutrient-limited growth is usually modeled with a Monod
(or Michaelis-Menten) equation:
µ = µ
max
[LN]/([LN]+ K
m
)
where µ is the specific growth rate of the population as a function of [LN];
[LN] is concentration of limiting nutrient; µ
max
is maximum population
growth rate (at “optimal” conditions) and K
m
is the Monod coefficient, also
called the half-saturation coefficient because it corresponds to the concen-
tration at which µ is one-half of its maximum. When the concentration of
limiting nutrient [LN] equals K
m
, the population growth rate is µ
max
/2.
As [LN] increases, µ ҏҏincreases and so the number of cells (algal
population) increases. Beyond a certain [LN], µ ҏtends asymptotically to its
maximum (µ
max
), and the population tends to its maximum yield. If this
concentration is not maintained, rapidly primary productivity returns to a
level comparable to that prior to the nutrient enrichment. This productivity
variation produces seasonal blooming (Barsanti and Gualtieri, 2006).
Normal becomes abnormal when there is a continuous over-stimulation
of the system by excess supply of one or more limiting nutrients, which leads
372
HOW ODD ALGAE CAN BE
to intense and prolonged algal blooms throughout the year. The continuous
nutrient supply sustains a constant maximum algal growth rate, (Lapointe,
1997; Riegman et al., 1992). Therefore, instead of peaks of normal blooms,
followed by periods when phytoplankton is less noticeable, continuous
primary production occurs (See images of abnormal algal blooms that were
recently reported in the news off Canada’s west coast at http://www-
sci.pac.dfo-mpo.gc.ca/osap/data/SearchTools/SearchSatellites_e.asp), (Kutser
et al., 2006). In this process, the enhanced primary productivity triggers
various physical, chemical and biological changes in autotroph and hetero-
troph communities, as well as changes in processes in and on the bottom
sediments and changes in the level of oxygen supply to surface water and
oxygen consumption in deep waters. Blooms can result in a series of
undesirable effects. Excessive growth of planktonic algae increases the
amount of organic matter settling to the bottom. This may be enhanced by
changes in the species composition and functioning of the pelagic food web
by stimulating the growth of small flagellates rather than larger diatoms,
which leads to lower grazing by copepods and increased sedimentation. In
areas with stratified water masses, the increase in oxygen consumption can
lead to oxygen depletion and changes in community structure or death of
the benthic fauna. Bottom dwelling fish may either die or escape. Harmful
algal blooms may cause discoloration of the water, foam formation, death of
benthic fauna and wild or caged fish, or shellfish poisoning of humans,
(Sellmer et al., 2003; Smayda, 1990; Van Dolah, 2000; Carmichael, 2001;
Heil et al., 2005).
Under bloom conditions, single cell level features such as the carbonate
covering structures of Haptophyta (coccoliths) and the luminescent organel-
les of Dinophyta (scintillons) give rise to impressive phenomena that will be
described in the following.
5.1. MILKY WATERS
Some marine organisms combine calcium with carbonate ions in the pro-
cess of calcification to manufacture calcareous skeletal material. Calcium
carbonate (CaCO
3
) may either be in the form of calcite or aragonite, the
latter being a more soluble form. After death, this skeletal material sinks
and is either dissolved, in which case CO
2
is again released into the water,
or it becomes buried in sediments. This bound CO
2
is thus removed from
the carbon cycle.
The calcification process can be summarized by the following reaction:
Ca
2+
+ 2HCO
3
ļ CaCO
3
+ CO
2
+ H
2
O
373
L. BARSANTI ET AL.
The amount of CO
2
taken up in the carbonate skeletons of marine orga-
nisms has been, over geological time, the largest mechanism for absorbing
CO
2
. At present, it is estimated that about 50*10
15
tonnes of CO
2
occurs as
limestone, 12*10
15
tonnes in organic sediments, and 38*10
12
tonnes as
dissolved inorganic carbonate.
Among the marine organisms responsible for calcification, coccolitophores
play a major role, especially Emiliania huxleyi, (Jordan and Chamberlain,
1997). When the blooms of this haptophyte appear over large expanses of
the ocean (white water phenomenon), myriad effects on the water and on
the atmosphere above can be observed. Although each cell is invisibly small,
there can be as many as a thousand billion billion (10
21
) of them in a large
bloom, and the population as a whole has an enormous impact. E. huxley
blooms are processed through the food web, with viruses, bacteria and zo-
oplankton all contributing to their demise and decomposition. Some debris
from the bloom survives to sink to the ocean floor, taking chemicals out of
the water column. While they live and when they die, the phytoplankton cells
leak chemicals into the water. A bloom can be thought of as a massive
chemical factory, extracting dissolved carbon dioxide, nitrate, phosphate,
etc. from the water, and at the same time injecting other chemicals such as
oxygen, ammonia, DMS (dimethyl sulfide) and other dissolved organic
compounds into the water, (Gabric et al., 2001; Lomans et al., 2002). At the
same time, this chemical factory pumps large volumes of organic matter
and calcium carbonate into the deep ocean and to the ocean floor, (Fasham,
2003; Sarmiento and Gruber, 2004). Some of this calcium carbonate even-
tually ends up as chalk or limestone marine sedimentary rocks, perhaps to
cycle through the Earth’s crust and to reappear millions of years later as
mountains, hills and cliffs, (Anbar and Knoll, 2002). Coccolithophorids are
primarily found at low abundance in tropical and subtropical seas, and at
higher concentrations at high latitudes in midsummer, following diatom
blooms, (Iida et al., 2002). Hence, export of inorganic carbon by diatoms in
spring at high latitudes can be offset by an efflux of carbon to the atmos-
phere with the formation of coccolithophore blooms later in the year.
Coccolithophores influence regional and global temperature, since they
can affect ocean albedo (i.e. a ratio of scattered to incident electromagnetic
radiation power) and ocean heat retention, and causing a sort of greenhouse
warming effect. Coccoliths do not absorb photons, but they are still optically
important since they act like tiny reflecting surfaces, diffusely reflecting the
photons (Fukushima et al., 2000).
A typical coccolith bloom (containing 100 mg m
–3
of calcite carbon) can
increase the ocean albedo from 7.5% to 9.7% . A global satellite study by
Brown and Yoder (1994) detected an annual area of blooms of 1.4*10
6
km
2
;
374
HOW ODD ALGAE CAN BE
if each bloom is assumed to persist for about a month, then this annual
coverage will increase the global annual average planetary albedo by
(9.7–7.5)
*
(1/12)
*
(1.4/510) = 0.001%
where 510*10
6
km
2
is the surface area of the Earth.
This is a lower bound on the total impact, because sub-bloom concen-
tration coccolith light scattering will have an impact, over much larger areas
(estimated maximum albedo impact = 0.21%). A 0.001% albedo change
corresponds to a 0.002 W m
–2
reduction in incoming solar energy, whereas
an albedo change of 0.21% causes a reduction of 0.35 W m
–2
. These two
numbers can be compared to the climate forcing due to anthro-pogenic
addition of CO
2
since the 1700’s, estimated to be about 2.5 W m
–2
.
Coccolith light scattering is therefore a factor of only secondary importance
in the radiative budget of the Earth. However, this scattering causes more
heat and light than usual to be pushed back into the atmosphere; it causes
more of the remaining heat to be trapped near to the ocean surface, and only
allows a much smaller fraction of the total heat to penetrate to deeper in
the water. Because it is the near-surface water which exchanges heat with
the atmosphere, all three of the effects just described conspire to mean that
coccolithophore blooms may tend to make the overall water column dra-
matically cooler over an extended period, even though this may initially be
masked by a warming of the surface skin of the ocean (the top few meters),
(Tyrrell, 2002).
As above said, coccolithophores are unique in that they take up bicar-
bonate (HCO
3
), with which to form the calcium carbonate of their coccoliths.
There are three forms of dissolved carbon in seawater: CO
2
, HCO
3
and CO
3
;
and carbon can shift very easily from being in one of these dissolved forms
to being in another. How much of the total carbon is in each form is de-
termined mainly by the alkalinity and by the water temperature. When the
seawater carbon system is perturbed by coccolithophore cells removing
HCO
3
to form coccoliths, this causes a re-arrangement of how much carbon
is in each dissolved form, and this rearrangement takes place more or less
instantaneously. The removal of 2 HCO
3
molecules and the addition of one
CO
2
molecule changes the alkalinity and this indirectly causes more of the
dissolved carbon to be pushed into the CO
2
form. Although the total dis-
solved carbon is obviously reduced by removal of dissolved carbon (bicar-
bonate ions) into solid calcium carbonate, yet the total effect, paradoxically,
is to produce more dissolved CO
2
in the water. In this way, coccolithophore
blooms tend to exacerbate global warming (by causing increased atmospheric
CO
2
), rather than to ameliorate it, as is the case when dissolved CO
2
goes into
new organic biomass (Chuck et al., 2005). However, additional properties
375
L. BARSANTI ET AL.
of coccoliths may make the situation yet more complicated. Coccolith calcite
is rather dense (2.7 kg per liter compared to seawater density of 1.024 kg
per liter), and the presence of coccoliths in zooplankton faecal pellets and
‘marine snow’ (the two main forms in which biogenic matter sinks to the
deep ocean) causes them to sink more rapidly. Slow-sinking organic matter
may also adhere to the surfaces of coccoliths, hitching a fast ride out of the
surface waters. If organic matter sinks faster then there is less time for it to
be attacked by bacteria and so more of the locked-in carbon will be able to
escape from the surface waters, depleting the surface CO
2
. This co-transport
of organic matter with coccoliths has been suggested to offset the atmospheric
CO
2
increase that would otherwise be caused, and make coccolithophore blo-
oms act to oppose global warming, rather than to intensify it (Neil, 2001).
5.2. BIOLUMINESCENCE
The phenomenon of dinoflagellate bioluminescence has been observed by
sailors from the days of the earliest voyages. That each fleck of the spark-
ling luminescence present in the sea was the flash from a single creature of
minute size rather than the phosphorescence of a chemical substance was
known before the end of the eighteenth century (Harvey, 1952, 1957). The
light emitting properties of some of the dinoflagellates became apparent
because these organisms were on occasion so very plentiful. One of the ear-
liest to be recognized was Noctiluca (Baker, 1753; de Quatrefages, 1850)
because of its large size and the great brightness of its luminescence, as well
as its common occurrence along the shores of Europe. The “red tides” of
Gonyaulax polyedra on the west coast of the United States and the extreme-
ely bright luminescence which accompanied them led to the identification
of this dinoflagellate as luminescent (Kofoid, 1911). Moreover, these micro-
algae are considered responsible for luminous trails observed around moving
ships, dolphins and breaking waves (Rohr et al., 1998, 2002).
Among the relative few species, the luminescence of which has already
been well established, there are: Fragilidium heterolobum, Gonyaulax cate-
nella, Gonyaulax hyaline, Gonyaulax polyedra, Gonyaulax sphaeroidea,
Lingulodinium polyedrum, Noctiluca miliaris, Peridinium brochi, Peridinium
conicum, Peridinium depressum, Peridinium pentagonum, Pyrodinium baha-
mense, Pyrocystis lunula, Pyrocystis noctiluca (Sweeney, 1963).
Three stimuli have been observed to trigger the phenomenon of bio-
luminescence:
x mechanical stimuli – when shear forces, such as those caused by the
stirring of water from the wake of a boat, a swimming fish or a breaking
wave, deform the cell membrane, the dinoflagellates responds in less
than 20 ms with a short flash lasting approximately 100 msec. Deformation
376
HOW ODD ALGAE CAN BE
of the cell surface by forces as small as 10
–6
dyne can trigger dino-
flagellate luminescence (Hickman et al., 1980; Widder and Case, 1981;
Cussatlegras and Le Gal, 2004). The total mechanically stimulated bio-
luminescence has been measured in different species and varies from
10
8
photons cell
–1
in Gonyaulax sp. (Seliger et al., 1969) to 6*10
10
photons cell
–1
in Pyrocystis sp. (Swift et al., 1985; Batchelder et al.,
1992). The light emission is in the blue wavelengths, with the maximum
centered around 473–478 nm (Swift et al., 1973; Hastings and Morin,
1991).
x chemical stimuli – reducing the pH of their external medium by adding
acid can cause some dinoflagellates to glow continuously.
x temperature stimuli – some species of dinoflagellate, such as G. polyhedra,
will be induced to glow if the temperature is lowered.
Whatever the stimulus, the mechanism by which dinoflagellates emit
light, though not completely understood, is always the same, with both a
electrical and a chemical component to the initiation of a flash. The elec-
trical process consists in an action potential during which the inside of the
vacuolar membrane becomes hyperpolarized (it has more negative voltage
with respect to resting potential). This sets up the conditions for the che-
mical reaction. The actual chemical reaction by which light is produced
involves a substrate called luciferin and an enzyme called luciferase, which
are sequestered into out-pocketings of the vacuolar membrane called scintil-
lons. The cellular localization and ultrastructural features of these subcellu-
lar organelles have been elucidated using immunocytochemical techniques
(Nicolas et al., 1987a). These small (about 0.5 µm) spherical organelles,
about 400 per cell, (Fogel and Hastings, 1972; Nicolas et al., 1987b; Fritz
et al., 1990) have a specialized dense matrix and are topologically a part of
the cytoplasmic compartment, since as above said, they occur as evagina-
tions protruding into the cell vacuole. The action potential extrudes hydrogen
ions into the scintillons and lower their pH from 8 to 6. Under these acidic
conditions, luciferin is released from its binding protein and is thus acti-
vated. Luciferase catalyses the oxidation of luciferin, resulting in light and
an intermediate called oxyluciferin. Energy in the form of ATP must be
provided to the system to regenerate luciferin.
The most studied of the many bioluminescent dinoflagellates is Gonyaulax
polyedra. Because its luciferin reacts with the luciferases of all dinoflagellates
tested so far, it is likely to be representative of the group at large. The struc-
ture of dinoflagellate luciferin, determined from Pyrocystis lunula, shows
no similarity to any other luciferin (Nakamura et al., 1989). It is a linear
tetrapyrrole probably derived from chlorophyll and very sensitive to autoxi-
dation. The site of oxidation on the chromophore depends on whether
377
L. BARSANTI ET AL.
the reaction is luciferase-catalyzed, and luminescence accompanies only
the enzymatic reaction. The reaction product is not fluorescent, in contrast
to unoxidized luciferin, which fluoresces brightly with a spectrum matching
that of the bioluminescence (Ȝ
max
about 470 nm) (Hastings, 1978; Wilson
and Hasting, 1998). This paradox is not yet resolved. One possibility is that
the bioluminescence is emitted by an excited transient intermediate, as in
the bacterial reaction. Another is that an excited state formed in the reaction
transfers its energy to still unreacted luciferin. However, studies indicate
that only one luciferin molecule is required for light emission and the bio-
luminescence intensity in the in vitro reaction decays monoexponentially.
Two proteins are involved in Gonyaulax bioluminescence. One is a luciferin
binding protein (LBP), a dimer of two identical 75.5 kDa subunits, which
sequesters luciferin at a physiological pH, protecting it from autoxidation,
and releases it as the pH drops to 6 (Morse et al., 1989). The other, a luci-
ferase (LCF) (137 kDa), is inactive at pH 8 and becomes active exactly in
the pH range at which the LBP makes luciferin available for the reaction.
The two proteins and luciferin are tightly packaged inside the scintillons
(Nicolas et al., 1991, Desjardins and Morse, 1993).
Bioluminescence is an expression of circadian rhythmicity, a pheno-
menon regulated on a daily cycle. In the absence of light, dinoflagellates exhibit
peaks and valleys of bioluminescence. However, the biological clock can
be ‘entrained’ by light exposure, shifting the peaks of luminescence to
different times of day. Circadian control of cellular processes represents an
adaptive advantage for dinoflagellates because they are vertical migrators
in the water column. By keeping time, they can anticipate sunrise and be
poised to start photosynthesizing at the surface as soon as light is available.
Luminescence in G. polyedra and other dinoflagellates is regulated by
an endogenous circadian clock, and is maximum during the dark (night)
phase with light emission that can be 100 times brighter at night than during
the day, (Johnson and Hastings, 1986). Remarkably, both luciferase and
luciferin-binding protein in G. polyedra are destroyed at the end of the night
phase and then synthesized again in the next cycle. Moreover, the scintil-
lons themselves are broken down and reformed each day (Fritz et al., 1990;
Suk Seo and Fritz, 2000); the circadian cycle may actually be viewed as a
daily differentiation of certain cellular processes. Synthesis and destruction
is not the only mode of regulation, even in dinoflagellates. For example,
in Pyrocystis, the amount of luciferase remains constant over the cycle
(Knaust et al., 1998), but its cellular location and responsiveness change
from night to day (Widder and Case, 1982).
Bioluminescence represents a community beneficial gain (Burkenroad,
1943; Esaias and Curl, 1972; Abrahams and Townsend, 1993). In this way,
the “burglar alarm” hypothesis states that dinoflagellates which sense a
378
HOW ODD ALGAE CAN BE
predator emit a flash to alarm a secondary predator that will spot and eat
the first predator. In this way, dinoflagellate bioluminescence increases
predation on crustacean grazers by fishes, hence reducing the grazing
pressure on dinoflagellates.
6. Conclusions
In this review are described some oddities and curiosities of the algal world;
however, algae should not be considered only as curious creatures with
marginal roles in specific niches of the environment, since they do possess
specific and important roles in global ecology and in the dynamic equi-
librium of the biosphere. They have played key roles in shaping Earth’s
biogeochemistry and contemporary human economy, and these roles are
becoming ever more significant as human impacts on ecosystems results in
massive alteration of biogeochemical cycling of chemical elements. Just
think about the Earth’s initial atmosphere, 80% N
2
, 10% CO/CO
2
, 10% H
2
,
(by volume): no free O
2
appeared until the development of oxygenic photo-
synthesis by cyanobacteria, transforming the atmosphere composition in
the actual 78% N
2
, 21% O
2,
0.036% CO
2
and other minor gases. Or the
petroleum and natural gas we consume as fuels, plastics, dyes, etc… in our
everyday life; these fossilized hydrocarbons are mostly formed by the de-
position of organic matter consisting of the remains of several freshwater
marine microalgae. These remains contain bacterially- and chemically resis-
tant, high aliphatic biopolymers (algaenans) and long-chain hydrocarbons
that are selectively preserved upon sedimentation and diagenesis and make
significant contribution to kerogens, a source of petroleum under appropri-
ate geochemical condition. Moreover, we are still using the remains of
calcareous microorganisms, deposited over millions of years in ancient ocean
basins, for building material. Diatomaceous oozes are mined as addictives
for reflective paints, polishing materials, abrasives and for insulation. The
fossil organic carbon, skeletal remains, and oxygen are the cumulative
remains of algae export production that has occurred uninterrupted for over
3 billions years in the upper ocean.
Algae have been utilized by man for hundreds of years as food for
humans, fodder, remedies and fertilizers. Ancient records show that people
collected macroalgae for food as long as 500 BC in China and one thousand
of years later in Europe, whereas microalgae such as Arthrospira have a
history of human consumption in Mexico and Africa. In the fourteenth
century the Atzecs harvested Arthrospira from Lake Texcoco and used to
make a sort of dry cake called tecuitlatl, and very likely the use of this
cyanobacterium as food in Chad dates back to the same period, or even ear-
lier, to the Kanem Empire (Ninth century).
379
L. BARSANTI ET AL.
Nowadays, algae are commercially exploited for the extraction of hydro-
colloids, as food for humans and animals, fertilizers, cosmetics, nutraceutical
and farmaceutical. Moreover, as million years ago, they are still important
for the biogeochemical cycling of the chemical elements they uptake, assi-
milate, and produce such as Carbon, Oxygen, Nitrogen, Phosphorus, Silicon
and Sulfur. Surging oil prices and shortage of biofuel feed stocks are re-
viving interest in making fuel from algae that could serve as both a viable
energy source and a carbon sink. They are able to produce high level of
hydrocarbons, offering orders of magnitude greater resource potential for
natural oils than any terrestrial crop. In addition, algae consume carbon
dioxide as they grow, so they could be used to capture CO
2
from power
stations and other industrial plants that would otherwise go into the atom-
sphere (Haag, 2007).
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A
ALGADEC; 285; 286; 292-294; 296;
297
algae; 1; 2; 4; 5; 7-10; 13-15; 18; 20;
29; 31-33; 36-38; 40-43; 45; 46-48;
51-57; 66-68; 78-80; 82-88, 94; 95;
97; 98-102; 134; 144; 145; 147; 149
151; 152; 154-160; 162; 163; 166;
167; 172-176; 179; 181; 195; 198;
208; 210; 216; 218; 221-223; 225;
226; 228-236; 238-240; 243-245;
248-251; 253-260; 261; 272; 278;
279-281; 283; 285; 287-289; 290;
292; 294; 296; 298; 301; 302; 304;
307-310; 313; 353-373; 376; 379;
380-391
algal blooms; 4; 161; 173-177; 210-212;
279; 282; 287; 292; 297-299; 302;
307-310; 373; 389
allelopathy; 17; 32; 38; 100; 159-161;
165-169; 174; 175-177
B
barley straw; 17; 37; 38; 40; 41
bioassay; 221; 225; 233
bioluminescence; 354; 376-385; 388-390
biosensor; 281; 285; 286; 289; 290; 291;
294-298; 311-314; 317-319; 326-333
blooms; 4; 17; 29; 31; 34; 37; 40; 42; 43;
45-47; 54; 57; 65; 66; 70; 74; 80; 84;
86; 95-97; 100; 104; 116; 119; 135;
136; 161; 172; 175; 176; 177; 197;
207; 208; 211-214; 218; 263; 283;
297; 302; 306-310; 354; 357; 371;
373-376; 381; 386; 389; 390
C
checklist; 179; 180; 182
cholinesterase; 45; 235-237; 239-244
379; 380; 381; 384; 386; 387; 389;
390
cyanobacteria, toxins; 47
D
distribution; 1; 41; 43; 73; 95; 96; 115;
195; 197; 203; 207; 213; 214; 216;
219; 239; 265; 287; 303; 309; 348;
349; 354; 356; 360; 362; 364; 365;
370; 371; 382; 383; 384; 386; 387;
389; 390
domoic acid; 93; 95; 98; 104; 109;
120-124; 166; 198; 208-210; 282;
301; 304; 307-309
E
electrochemistry; 335; 350
endosymbiosis theory; 1
energy consumption; 247; 249-254; 257
environment; 2; 4; 8; 17-19; 22-26; 28;
30; 31; 36; 40; 47; 49; 61; 111; 121;
124; 125; 132; 135; 160; 162; 165;
167; 222; 228; 229; 232; 234; 247;
248; 253; 258-262; 280-283; 290;
298; 301; 319; 340; 346; 354-358;
371; 379; 381; 391
enzymatic assay; 312; 324; 333
cyanobacteria; 12-14; 17-22; 24; 25; 26;
27-32; 34; 37-43; 45-53; 55; 56; 58;
168; 169; 172-175; 177; 211-215;
220; 235; 237; 243; 358-361; 365;
217-220
extreme environments; 8; 354
360; 362; 364; 365; 367; 369; 370;
Estonian lakes; 211-214; 216;
65-69; 73; 78; 80; 99; 111; 160;
INDEX
393
grazers; 17; 28; 30; 34; 39; 159; 161; 379
growth regulator; 247; 256-259
H
HAB species; 160; 261; 263; 272; 282
HABs; 95; 96; 102; 160; 161; 180; 263;
265; 282; 287; 290; 302; 307; 381
I
immunosensors; 209; 301; 304; 306-309;
347; 350
L
laser-doppler spectrometry; 247; 249
lethal dose; 120; 221; 224
liquid, characterization; 335
M
Mediterranean Sea; 180; 182; 195-197;
209; 210; 261; 269; 272; 273; 282;
301; 308-310; 370
microalgae; 2; 4; 100; 162; 167; 173;
198; 208; 210; 247; 251; 253; 255;
256; 259-261; 272; 286-288; 297;
298; 302; 310; 356; 357; 376;
379-381; 386; 388; 389
Middle Tyrrehnian Sea; 197
molecular techniques; 261; 263; 267;
280; 282
Murcian coast; 179; 180
mutualisms; 354
N
nature water; 235
nutrients; 4; 8; 10; 22; 25; 35; 48; 79;
160; 173; 219; 288; 295; 372
P
PCR; 261; 264; 265; 267-283; 299
phosphatases; 17; 27; 46; 51; 61; 62; 93;
108; 109; 140
phosphorus limitation; 17; 22; 26; 27;
166
phycotoxin traceability; 301
phytoplankton; 4; 26; 37; 51-53; 91; 94;
159; 160; 161; 165; 166; 168; 172;
173; 174-179; 181; 182; 186; 195;
196; 198; 199; 207; 208; 210; 211;
213; 218; 219; 261; 262; 264; 266-
268; 270; 271; 272; 273; 274; 277;
279; 281; 288; 297; 298; 398; 301;
302; 307; 308; 309; 369; 371; 373;
374; 389
pigments distribution; 1
potassium dichromate; 247; 249; 252;
254; 256
primers; 261; 262; 264; 265; 268; 269;
270; 272; 274; 275; 277; 278; 298
protothecosis; 354; 367; 368; 382; 386;
390
Pseudo-nitzschia spp.; 93; 197-199; 209;
269; 306- 308
R
rRNA genes; 262; 278
S
sandwich hybridisation; 286
saxitoxins; 68; 91; 95; 98-100; 104; 105;
110; 112; 115; 116; 159; 166; 301
speed of movement; 247; 249; 251; 253;
254
F
Ferry Box; 286; 295; 298
formaldehyde; 181; 311; 312; 314; 320;
326; 332-333
formaldehyde dehydrogenase; 311; 312;
314; 332-333
G
gene engineering; 312
Gonyostomum semen; 47; 211; 214; 217;
219; 220
INDEX
SW Mediterranean Sea; 179; 195; 196
syndromes; 47; 91; 94; 98; 123; 141; 306
syndromes, therapy; 47
394
123-127; 129; 130; 134; 135; 138-
155; 157-162; 165; 166; 173; 175-
177; 208; 210; 214; 218; 221-226;
228-239; 244; 245; 287; 288; 302;
304; 305; 307-309; 390
treatment; 55; 57; 64-66; 72; 74; 76; 79;
80; 94; 114; 119; 123; 130; 226; 233;
251; 305; 312; 320; 368
U
ultrastructure; 10; 197; 203; 208; 370;
385
W
water blooming; 221; 226; 230; 232;
236; 245; 259
water monitoring; 259; 335; 351
Y
yeast; 312
T
taxonomy; 2; 17; 20-22; 266; 354; 388
toxicity; 17-20; 29-31; 36; 38; 40; 42;
43; 46; 49; 52; 54; 70; 74-76; 91; 94;
99; 100; 101; 103-105; 109; 111; 125;
126; 134; 135; 156; 166; 175; 176;
197-199; 208; 214; 221-226; 229;
233; 236; 244; 247-249; 252; 253;
254; 258; 260; 282; 302; 304; 312;
313
toxins; 4; 17-19; 24; 29; 30; 35-36; 39-
42; 45; 47-49; 51-59; 62-65; 68; 69-
72; 74; 80; 91-95; 97-107; 109-119;
INDEX
395
Aboal Marina
Department of Botany
Faculty of Biology
University of Murcia
Campus de Espinardo
30100, Murcia, Spain
Albertano Patrizia
Department of Biology
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173, Rome, Italy
Barsanti Laura
Istituto di Biofisica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Bouza Nieves
Department of Botany
Faculty of Biology
University of Murcia
Campus de Espinardo
30100, Murcia, Spain
Colijn Franciscus
GKSS Research Centre Geesthacht
GmbH
Max-Planck-Street 1
D-21502, Geesthacht, Germany
Coltelli Primo
ISTI C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Congestri Roberta
Department of Biology
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173, Rome, Italy
Demkiv Olha
Institute of Cell Biology
NAS of Ukraine
Drahomanov Str. 14/16
79005, Lviv, Ucraine
Diercks Sonja
GKSS Research Centre Geesthacht
GmbH
Max-Planck-Street 1
D-21502, Geesthacht, Germany
Evangelista Valtere
Istituto di Biofisica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Fistarol Giovana O.
Dept. of Agriculture Engineering,
UFSC, Florianópolis
Brazil
Frassanito Anna Maria
Istituto di Biofisica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Galluzzi Luca
Centro Biotecnologie
Fano Ateneo
University of Urbino “Carlo Bo”,
Via T. Campanella 1
I-61039, Fano, Italy
Gayda Galyna
Institute of Cell Biology
NAS of Ukraine
Drahomanov Str. 14/16
79005, Lviv, Ukraine
LIST OF CONTRIBUTORS
397
LIST OF CONTRIBUTORS
Gonchar Ɇykhailo
Institute of Cell Biology
NAS of Ukraine
Drahomanov Str. 14/16
79005, Lviv, Ukraine
Granéli Edna
University of Kalmar
Dept. of Marine Sciences
S-391 82, Kalmar, Sweden
Gualtieri Paolo
Istituto di Biofisica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Laugaste Reet
Institute of Agricultural
and Environmental Sciences
Estonian University of Life Science,
Centre for Limnology
61117, Rannu, Tartu County Estonia
Medlin Linda K.
Alfred Wegener Institute for Polar
and Marine Research
Am Handelshafen 12
D-27570, Bremerhaven, Germany
Metfies Katja
GKSS Research Centre Geesthacht
GmbH
Max-Planck-Street 1
D-21502, Geesthacht, Germany
Micheli Laura
Department of Chemical Sciences
and Technologies
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173, Rome, Italy
Moscone Danila
Department of Chemical Sciences
and Technologies
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173 Rome, Italy
Ott Ingmar
Institute of Agricultural
and Environmental Sciences
Estonian University of Life Science,
Centre for Limnology
61117, Rannu, Tartu County Estonia
Palleschi Giuseppe
Department of Chemical Sciences
and Technologies
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173, Rome, Italy
Parshykova Tetiana
Kiev National University named Taras
Shevchenko
Volodymyrska st., 60
01017, Kiev, Ukraine
Paryzhak Solomiya
Ivan Franko National University of Lviv
Hrushevs’kyi Str. 4
79005, Lviv, Ukraine
Istituto di Biofisica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi 1
I-56124, Pisa, Italy
Penna Antonella
Centro Biologia Ambientale, University
of Urbino “Carlo Bo”, Viale Trieste 296,
I-61100, Pesaro, Italy
Polizzano Simona
Department of Biology
University of Rome “Tor Vergata”
Via della Ricerca Scientifica
I-00173, Rome, Italy
Rakko Aimar
Institute of Agricultural
and Environmental Sciences
Estonian University of Life Science,
Centre for Limnology
61117, Rannu, Tartu County Estonia
398
Vincenzo Passarelli
LIST OF CONTRIBUTORS
Salomon Paulo S.
University of Kalmar
Dept. of Marine Sciences
S-391 82, Kalmar, Sweden
Scaravelli Dino
Department of Veterinary Public Health
and Animal Pathology,Veterinary
School, University of Bologna
Viale Vespucci 2,
I-47042, Cesenatico (FC), Italy
Schröder Friedhelm
GKSS Research Centre Geesthacht
GmbH
Max-Planck-Street 1
D-21502, Geesthacht, Germany
Schuhmann Wolfgang
Ruhr-Universität
Universitätsstr. 150
D-44780, Bochum, Germany
Scozzari Andrea
Institute of Geoscience and Earth
Resources C.N.R
Area della Ricerca di Pisa
Via Moruzzi, 1
I-56124, Pisa, Italy
Sirenko Lydia A.
Institute of Hydrobiology NAS of
Ukraine
Geroev Stalingrada pr. 12
04210, Kiev, Ukraine
Tretyakov Vadym
Kiev National University named Taras
Shevchenko
Volodymyrska st., 60
01017, Kiev, Ukraine
Vesentini Nicoletta
Istituto di Fisiologia Clinica C.N.R.
Area della Ricerca di Pisa
Via Moruzzi, 1
I-56124, Pisa, Italy
Vlasenko Vitaliy
Institute of Bioorganic and Oil
Chemistry
NAS of Ukraine
Murmanskaya st., 1
02660, Kiev-94, Ukraine
Whitton Brian A.
School of Biological and Biomedical
Sciences
University of Durham
DH1 3LE, UK
Zaccaroni Annalisa
Department of Veterinary Public Health
and Animal Pathology,Veterinary
School, University of Bologna
Viale Vespucci 2,
I-47042, Cesenatico (FC), Italy
399
... Commercially available ELISA kits offer highly sensitive toxin determination in algal extracts and water [40] but our method has proved to be more rapid (1 vs. 2.5 h), simpler and easy to perform, with good accuracy and reproducibility. Thus, this method has a high potential to be an effective screening analytical technique to "sense" DA directly in algal producers and to trace toxin transfer and magnification through the food chain in real time [41]. ...