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Local differentiation and hybridization in wild rose populations in Western Ukraine

Authors:
  • Tsitsin Main Botanical Garden Of Russian Academy of Science
  • Institute of Ecology of the Carpathians of NAS of Ukraine

Abstract and Figures

Three species of wild roses, viz. Rosa spinosissima, R. gallica, and R. canina s.l., sympatrically co-occur in Western Ukraine. R. canina is the morphologically most diverse of them; its different morphotypes (or morphological species in narrow sense) are characterized by a considerable variability in both vegetative and generative characters. This variability, however, does not correlate with ISSR markers diversity. The latter shows an uneven geographical distribution indicating to a probable differentiation of local populations caused by restricted gene flow. On the contrary, R. gallica shows no sign of such a geographical differentiation. However, both species can rarely hybridize, R. gallica being always the pollen parent. Hybrids are morphologically diverse, but not strictly intermediate between the parental plants, usually deviating towards one or the other of them in their characters. Some of the hybrids or putative backcrosses are indistinguishable from R. gallica itself, what may indicate a probable introgression between the two species. R. spinosissima is a rare species in this area, and it is uniform in its characters and seems to be not involved into any hybridization with other species.
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itteilungen des
ärntner otanikzentrums
lagenfurt
ulfenia 17  xxx–xxx
Local diff erentiation and hybridization in wild rose
populations in Western Ukraine
lina  edorova van  chanzer  lexander  agalo
Summary: ree species of wild roses viz Rosa spinosissimaR. gallicaand R. canina sl sympatrically
cooccur in estern kraine R. canina is the morphologically most diverse of them its diff erent
morphotypes or morphological species in narrow sense are characterized by a considerable variability
in both vegetative and generative characters is variability however does not correlate with 
markers diversity e latter shows an uneven geographical distribution indicating to a probable
diff erentiation of local populations caused by restricted gene fl ow n the contrary R. gallica shows no
sign of such a geographical diff erentiation owever both species can rarely hybridize R. gallica being
always the pollen parent ybrids are morphologically diverse but not strictly intermediate between
the parental plants usually deviating towards one or the other of them in their characters ome of
the hybrids or putative backcrosses are indistinguishable from R. gallica itself what may indicate a
probable introgression between the two species R. spinosissima is a rare species in this area and it is
uniform in its characters and seems to be not involved into any hybridization with other species
Keywords: osaceae Rosa caninaRosa gallicaRosa spinosissima dogroses trnndh 
hybridization population
ild roses are common plants in the south of the ussian lain in general and in estern
kraine in particular  ey grow in diff erent habitats though most of them prefer remnants of
steppe vegetation and forest margins often on slopes of hills or eroded gullies  ey usually form
multispecies stands mostly composed of dogroses belonging to the section aninae  er
though members of other sections like Rosa majalis errm of innamomeae  er or R.
gallica  of allicanae  er sections may be present in such stands as well growing side by
side with the dogroses  e latter are notoriously diffi cult to be taxonomically identifi ed what is
usually attributed to their inherent hybrid nature and the ability to hybridize with each other and
members of other sections      e species of dogroses are commonly
delimited on the basis of a set of correlated morphological characters eir composition is assumed
to be more or less established for entral and estern urope but opinions about astern
uropean species are much more controversial     
 up to a point of view that next to nothing is known about them  
estern kraine is a speciesrich astern uropean area where from many species of dogroses
were described by  esser in the th century and by  hrshanovsky in the th century see
 e nternational lant ames ndex httpwwwipniorgipniplantnamesearchpagedo
oth in herbaria and in the wild dogrose plants occur which are morphologically intermediate
between the described species commonly regarded as hybrids owever hybridization experiments
with dogroses        
     reveal that the  progeny from interspecifi c crosses as a
rule is not morphologically intermediate between the parents ften these hybrid plants are
         
indistinguishable from the maternal plant or may display hip characters similar to those of the
pollen parent or even possess some novel characters depending on the character combinations of
the parental plants ostly matroclinal inheritance in dogroses is due to a very special breeding
system called balanced heterogamy       ll the dog
roses are allopolyploids with n=x x or x n= owever only two genomes of   or  in a
polyploid dogrose nucleus are pairing and forming bivalents during meiosis ese genomes are
transferred both via haploid pollen and polyploid egg cells e   or  unpairing genomes form
univalents during meiosis and are transferred exclusively via egg cells being lost during meiosis
in pollen mother cells uch an unequal meiosis results in a highly skewed mostly matroclinal
character inheritance in dogroses at the morphological     as well as
the molecular level  et al    
tudies of wild populations of dogroses with the use of  markers reveal that marker
polymorphism is more correlated with geographic origin of specimens than with their taxonomic
identity based on morphology   al  is fact may be due to introgression
or to hybridization resulting in the presence of certain hybrid morphotypes arising de novo in
geographically distinct localities where two or more rose species meet and hybridize imilar
patterns are found in sympatric populations of wild roses in ussia and kraine  
     
ence the aim of the present study is to test if morphological species found in this area can be
confirmed genetically and if any of them may spontaneously hybridize with the others
aterials and methods
Population sampling: amples were collected in une  from five localities in viv ernopil
and vanorankivsk administrative regions of kraine in the geographical province of the
odolian elevation e names and geographical coordinates of the localities together with
the names of species and specimen field numbers of each locality are listed in ppendix  e
localities are situated at different distances from each other  – ~  km  – ~  km
 – ~  km – ~  km  – ~  km   ~  km  ~  km so
that the most proximate can be grouped together as follows –  –  eir relative
geographical positions are shown in ig 
total of  individuals were sampled for our study e voucher specimens are deposited
in the erbarium of the ain otanical arden in oscow  e determined the
sampled plants with the key in the lora uropae rientalis   according to
the taxonomic treatment of the genus suggested there Rosa gallica  specimens R. canina 
 R. subcanina hrist  R. tomentosa m  R. caryophyllaceaess  R. spinosissima 
 R. glauca ourr  R. parviuscula hrshan  R. porrectidens hrshan  R. corymbifera
orkh  R. podolica hrshan  ne specimen morphologically deviated from a typical
R. gallica and was marked as a putative hybrid wo specimens of dogroses did not correspond
in their characters to any species in the key and remained undetermined ll the specimens were
examined for  morphological characters listed in ab  e choice of the characters for this
study depended largely on the characters traditionally used as diagnostic for the species in our
sample by other authors particularly by  
ocal differentiation and hybridization in wild rose populations in estern kraine
r haracter nit or states of qualitative characters
ush height cm
eaflet length mm
eaflet width mm
eaflet shape
 – narrow elliptic  – round  – round
with acute tip  – elliptic  – elliptic
with acute tip
eaf texture  – soft  – medium density
 – leathery
eaflet hairyness with simple hairs above  – glabrous  – sparse  – dense
eaflet hairyness with simple hairs underneath  – glabrous  – sparse along nerves
 – sparse on surface  – dense on surface
eaflet hairyness with glandulous hairs above  – glabrous  – sparse  – dense
eaflet hairyness with glandulous hairs
underneath
 – glabrous  – sparse along nerves
 – sparse on surface  – dense on surface
 etal colour  – white  – pale pink  – pink
 – bright pink to magenta
 landulous hairs on pedicel  – glabrous  – sparse  – dense
 landulous hairs on sepals  – glabrous  – sparse  – dense
 ypanthium length mm
 landulous hairs on hypanthium  – glabrous  – sparse  – dense
 edicel length mm
 rickle shape  – absent  – hooked  – sickle
shaped  – acicles
 epal shape  – entire  – slightly dissected
 – pinnate
 tyle head shape  – loose  – dense
 eaf margin dentations  – simple  – double to complex
glandulous
 eaf margin teeth  – without glands  – with one to few
glands  – with many glands
Table 1. orphological characters used in the study
         
DNA extraction: oung leaves were collected from the same plants as the corresponding
herbarium specimens and dried in silica gel  was extracted with the ucleopin lant 
 extraction kit achereyagel ermany following the manufacturers instructions
Marker selection: e used  nter imple equence epeat markers to study 
polymorphisms within and between species and to detect putative interspecific hybrids since
they proved to be adequate and useful for these purposes in our previous studies of wild roses
           
rimers used for  were synthesized and purified in  by yntol td oscow ussia
ey are listed in ab 
or this study we used the trnndh intergenic spacer of chloroplast  which was shown to
be one of the most variable regions of cp  in different groups of flowering plants  et
al  ough this region was not previously sequenced from any member of the genus Rosa
by other authors it proved to be informative in one of our recent studies in wild rose populations
 et al  e primer formulas were taken from   al  and synthesized
by yntol td oscow ussia
ISSR PCR conditions: or amplification of  markers polymerase chain reactions 
were conducted in  l aliquots containing  l of eadytose  aix   of
each d m gl   hotstart maraq olymerase and reaction buffer
ialat td oscow ussia  l deionized water  p primer and  – ng of template
 in a  esearch   ngine yad ermal ycler ioad aboratories
 under the following conditions ° –  min pretreatment ° –  s annealing
temperature –  s °  s + s for each cycle  cycles with a final extension step for min
at ° e annealing temperature for all  primers used was °  control containing
all components except genomic  was included in each set of reactions to prove that no
contamination occurred
  reactions were characterized on  agarose gels in  ×  els were stained with
ethidium bromide and documented digitally using a eloct maging ystem  
Chloroplast DNA PCR conditions and sequencing: e  protocol for trnndh region
amplification slightly differed from that for  markers ° min pretreatment
° –  s ° –  s ° –  s  cycles with final  cycles ° for  s ° for
rimer equence
        
a     
     
      
       
       
Table 2.  primers used for 
ocal differentiation and hybridization in wild rose populations in estern kraine
min  s e lower elongation temperature was used because of the high  content in the
target sequence is improved the work of the polymerase and strongly increased the yield of
the  product oublestranded  products were then purified using centrifugation with
a solution of ammonium acetate in ethanol urified  products were cycle sequenced using
the   igye™ erminator v  kit pplied iosystems and further analyzed on
an    automated sequencer pplied iosystems at the facilities of yntol td
oscow ussia
Analyses of morphological characters: o analyze morphological features we performed rincipal
oordinates nalysis o as implemented in the  v  program  et al 
e same data were analyzed also by cluster analysis using nweighted air roup ethod based
on rithmetic mean  ince both qualitative and quantitative characters were analyzed
together ower similarity measure was used
Analyses of molecular data: e digital image files of  marker electrophoresis results were
analyzed using the ross hecker  software   ach fragment that was
amplified using  primers and visualized as a band in an electrophoretic gel was treated
as a unit character and scored in terms of a binary code  = +– e resulting matrix was
analyzed using o and cluster  analyses as implemented in the  v  program
 et al  accard coefficient was used as the measure of genetic similarity
 sequences were aligned manually using iodit    and manually edited
afterwards e alignment was collapsed into haplotypes using   software  
al 
opulation structure and probability of hybrid origin of particular specimens was analyzed
using ayesian inference with the programs tructure    al  
al  and ewybrids      e program tructure
assesses probability of subdivision of a sample into  populations basing on calculation of allele
frequencies in each of these hypothetical populations using arkov chain onte arlo method
e used the admixture model with correlated allele frequencies and the no admixture model with
independent allele frequencies for the analyses e first model implies genetic relatedness of the
populations compared ardyeinberg equilibrium and linkage equilibrium for the markers
being analyzed e second model implies low genetic relatedness of the populations compared
e analyses using both models were applied to the whole sample and to dogroses separately
using the admixture model e numbers of =– were tested with  replicates per  and 
million arkov chain onte arlo repetitions
e ewybrids program uses a similar algorithm of analysis but implies a different model trying
to assess probability of subdividing the sample into a priori classes of genotypes e used the
default model of hybridization between two diploid species implying six possible genotype classes
sp – first pure species sp – second pure species  – first generation hybrids  – second
generation hybrids x and x – backcrosses e model implies the following distribution
of allele frequencies between the genotype classes sp –  homozygous of the first parent
speciesdiagnostic markers sp  homozygous of the second parent speciesdiagnostic
markers  –  heterozygous   heterozygous + homozygous of both
parent speciesdiagnostic markers x –  heterozygous  homozygous of the first parent
         
speciesdiagnostic markers x –  heterozygous  homozygous of the second parent
speciesdiagnostic markers ike the model used by the tructure program this model also implies
ardyeinberg equilibrium and linkage equilibrium for the markers being analyzed e
analysis was run for   repetitions in several replicates to assess the stability of the results
esults
rincipal coordinate analysis o gives a fairly well resolved picture of groups corresponding
to all the species determined with the key in lora uropae rientalis ig  e first principal
coordinate explains  of distances the second one explains  s anticipated the most
distant groups correspond to R. spinosissimaR. gallicaand R. canina while all the other groups
gradually fill the gap between R. canina and R. gallica e specimen of R. porrectidens falls within
the cloud of specimens of R. canina pecimens determined as R. subcanina form a cloud just
Figure 1. esults of rincipal oordinates nalysis of  morphological characters for  specimens ower similarity
measure  – R. canina – R. subcanina R. sp indet  R. glauca  – R. jundzillii – R. tomentosa
 – R. porrectidens  – R. corymbifera  – R. caryophyllacea  – R. gallica  – R. parviuscula  R. spinosissima
 – R. podolica
ocal differentiation and hybridization in wild rose populations in estern kraine
next to that of R. canina pecimens of R. parviuscula and R. tomentosa are placed closer to R.
gallica than to R. canina ll the other specimens are placed more or less between R. gallica and
R. canina somewhat closer to the latter f the two undetermined specimens one groups with
a specimen of R. podolica the other one groups with R. jundzillii
e results of cluster analysis  of morphological data not shown are similar to those of
o ll the morphological species are clearly distinguished by the set of selected characters and
form separate more or less distanced clusters some with medium to high bootstrap support  
replicates n ig  solid line circles surround groups receiving high  – bootstrap support
haplotype
aa--agaaactaaaattctatttct--------tatttctataccattagactatacaattgg-----a
aa--agaaacgaaaattctatttct--------tatttctataccattagactatacaatttg-----a
ac--agaaactaaaattctatttcttatttctatatttctataccattagactatacaattgg-----a
-c--agaaactaaaattctatttcttatttctatatttctataccattagactatacaattgg-----a
aata---------------------------------------------------------ttggtgc-
Table 3. trnndh haplotypes nly variable positions are shown
Figure 2. esults of rincipal oordinates nalysis of   markers for  specimens accard similarity measure
pecies designation is the same as in ig 
         
in cluster analysis ey are R. spinosissima  R. caryophyllacea  and R. porrectidens
 lusters of R. tomentosa  and R. gallica  receive medium support shown by dashed
line circles everal terminal small clusters uniting couples of specimens from the same locality
are rather highly supported too not shown ll the other clusters receive low to no bootstrap
support what is not surprising given the small number of characters in the matrix evertheless
all the clusters resolve the same groups of specimens as they were determined with the key
hloroplast intergene spacer trnndh was partially sequenced from  specimens of total 
in the sample e length of the sequence varied between  to  bp enank accession
numbers are given in parentheses after specimen numbers in ppendix  e sequences were
manually aligned and the alignment length after editing and introducing gaps was  e
alignment was converted into haplotypes using  software   al  gaps were
treated as the th state ive haplotypes are recognized their differences are shown in ab 
and their distribution among the specimens in igs  and  ost of the specimens possess
haplotype  e specimen of R. glauca bears haplotype  which differs from  by the only
deletion in the th position of the alignment ost specimens of R. gallica possess haplotype 
Figure 3. esults of ayesian analysis in tructure  program posterior probabilities of clusterization of  Rosa
specimens into  groups by  marker composition pecimen numbers are shown below the diagram trnndh
chloroplast haplotypes are designated above the diagram
ocal differentiation and hybridization in wild rose populations in estern kraine
which differs from the  haplotype by a – transition in th position of the alignment and
two indels in positions – and – aplotype  is characteristic of the two specimens
of R. tomentosa and is the closest to the haplotype  differing from it in two transitions –
in th position and – in th position aplotype  is the most distanced from them and
characteristic of the three specimens of R. spinosissima rom the closest haplotype  it differs by
a –  transition in the th position and by four indels one of which is quite large positions
 –
 reactions with six  primers resulted in total  reproducible bands n  specimens
        failed with at least one primer so they were
excluded from further analyses ll the bands appeared to be informative ie no one was present
in all the specimens or in a single specimen o analysis separates specimens of R. spinosissima
R. gallica and R. canina ig  e first principal coordinate explains  of distances the
second one explains  owever specimens determined from their morphology as other
species of sect aninae appear to be either not separable from R. canina itself or are placed in
the scatterplot between R. canina and R. gallica everal R. gallica specimens are deviating toward
R. canina too
ayesian analyses of the total sample with the tructure software reveal that the highest n
value is always achieved for = both under admixture and no admixture models ab 
e diagram in ig  shows posterior probabilities of assigning particular specimens to one
of the groups  for =– or both models used the program divides the sample into two
similar groups under = e first group consists of specimens of R. spinosissima –
and R. gallica – the second group includes all the specimens initially assigned to
R. canina and other species of the aninae section even specimens of R. corymbifera 
R. parviuscula   and R. gallica     show admixed nature as
well as two specimens of R. spinosissima   under the admixture model nder the no
admixture model all the specimens are assigned to one of the two groups with  posterior
probability or the number of groups = the program gives a picture nearly identical to =
odel  n
dmixture allele frequencies correlated
 
 
4 -3020.8
 
 
o admixture allele frequencies independent
 
 
4 -3030.0
 
 
Table 4. e results of the  data analyses in tructure  n values for different 

         
with only the three specimens of R. spinosissima recognized as a separate group e analyses
for = return the same pattern with the major exception that the group representing the sect
aninae species disentangles into two parts however not corresponding to any morphological
species e distribution of trnndh chloroplast haplotypes among the specimens is shown at
the top of the diagram in ig  nder = the specimens of the first group R. spinosissima
bear haplotype  those of the second group most of R. gallica bear haplotype  the specimens
of groups  and  including the admixed ones mostly bear haplotype  wo specimens of
R. tomentosa  and  bearing haplotype  appear to belong to different groups  and 
respectively e specimen of R. glauca with its  haplotype belongs to the third group together
with other haplotype  bearing specimens e analyses for = and further do not change this
pattern though an intermediate group never represented by any specimen belonging to it with
high probability appears under the admixture model
ince ayesian analyses in the program tructure revealed some admixed specimens combining
markers from R. gallica group and Rosa sect aninae group we further analyzed the sample
using another model implemented in the ewybrids program e specimens of R. spinosissima
   were excluded from these analyses e results of the analysis are shown in
ig  with the chloroplast haplotypes indicated for each specimen at the top of the diagram e
program assigns most of the specimens to two parental species corresponding to R. gallica and Rosa
sect aninae respectively nly seven specimens determined as R. corymbiferaR. parviuscula
and R. gallica corresponding to the admixed specimens in the tructure analyses appear to be
 hybrids or backcrosses with high posterior probability lso several specimens of the section
aninae group have small posterior probability of being backcrosses ll the plants of the second
parental species R. gallicabear chloroplast haplotype  while all the putative hybrids bear
haplotype  as most of the first parental species specimens e plants bearing haplotypes  and
 do not otherwise differ from the rest of the first parental species specimens
iscussion
t first glance all morphologically determined species with a few exceptions are more or less
clearly distinct from each other on the basis of a set of morphological characters owever
molecular data are in contradiction with the morphology oth chloroplast and  markers
clearly discriminate between species belonging to different sections of the genus ie between
Figure 4. esults of ayesian analysis in ewybrids program posterior probabilities of clusterization of  Rosa
specimens into genotype classes by  marker composition pecimen numbers are shown below the diagram
trnndh chloroplast haplotypes are designated above the diagram sp – first parental species sp – second parental
species  – first generation hybrids  – second generation hybrids x x – backcrosses

ocal differentiation and hybridization in wild rose populations in estern kraine
R. spinosissimaR. gallicaand dogroses of the section aninae owever they fail to discriminate
between morphological species of the dogroses hloroplast markers discriminate R. tomentosa
from the rest of the aninae section but  markers do not ll the three specimens of
R. tomentosa are assessed with the ewybrids program as pure members of the same parental
species as R. canina with posterior probability   e same relates to the single sampled
clone of R. glauca included in our study ts chloroplast trnndh haplotype  differs from the
rest of the aninae haplotypes by a single mononucleotide indel however  markers analyzed
with the ewybrids program bring this specimen to the same parental species as the rest of the
dogroses with posterior probability of  o analyses conducted using the tucture program
discriminate R. tomentosa and R. glauca from the rest of the dogroses e other specimens of
dogroses determined as R. subcaninaR. caryophyllaceaR. podolicaR. jundzillii and one of the
two specimens of R. porrectidens share the same chloroplast haplotype  and they are assigned
to the same parental species by the ewybrids with posterior probabilities higher than 
o ordination of the ewybrids analysis results shows a clear pattern of distribution of
Figure 5. rdination of the ewybrids analysis results with o analysis by   markers accard similarity
measure  – sp0 – the first parental species  – sp1 – the second parental species  – F2 – second generation hybrid
 – sp0 to less than  probability backcross Bx0 to the first parental species  – Bx0F2 or sp0 with comparable
probabilities  sp0 or Bx0 with less than  probability of being F2 F2 or Bx0 with nearly equal probabilities
 – F2 or Bx1 backcross to the second parental species  sp1 to less than  probability backcross Bx1 to the
second parental species  – R. spinosissima

         
genotype classes ig  pecimens of R. spinosissima not involved in hybridization are equally
distanced from both putative parental species R. gallica and R. canina in a broad sense ybrids
 and x either  or less probably backcrosses to R. gallica are placed in the middle
between the parental species while putative backcrosses are strongly shifted to their corresponding
parental species
t is worth mentioning that all putative hybrids and backcrosses to R. canina x possess
the same chloroplast haplotype  as R. caninawhile all R. gallica including backcrosses x
possess haplotype  is may be interpreted as R. gallica being exclusively the pollen parent in
hybridizations with the exception of the three specimens having –  posterior probability of
being backcrosses to R. gallica and sharing its  haplotype e specimen  assigned  with
 posterior probability is morphologically determined as R. corymbiferais corresponds well
to mostly matroclinal inheritance of morphological characters in the section aninae owever
the specimens assigned as probable  hybrids or backcrosses x are morphologically either
dwarf shrublets R. parviusculaspecimens  and  or rather a typical R. gallica specimens
   e specimen  initially determined as an atypical and probably hybrid
R. gallicafalls into this category as well  possible interpretation for this observation is that
morphological type of R. gallica may reappear through segregation from hybrid progeny
e results achieved via ayesian analyses in tructure and ewybrids we should however
treat with major caution n both cases the underlying models assume populations of diploid
outcrossing species e have not studied chromosome numbers of plants in our sample but
basing on published data from adjacent areas we can reasonably assume that R. gallica and
R. spinosissima in our study are tetraploids with normal meiosis while members of the aninae
section may be tetra to hexaploids with heterogamous meiosis    
       owever the results of the analyses under
all the above mentioned models look quite reasonable with the majority of the specimens being
assigned to separate groups with high posterior probabilities oreover at least for R. spinosissima
and R. gallica these results are strongly correlated with the morphological data e suppose that
deviations of the actual data from the models are not that considerable to render these results as
completely erroneous
e contradiction between morphological and based on  markers subdivisions of the dog
rose group in our analyses may rise a suspicion that the result achieved is artefactual in its nature
due to lack of statistical power in the molecular  data set to discriminate between the dog
rose species e one thing that may lead to such a suspicion is that the R. canina sl group is
subdivided by the tructure program into two parts which neither correspond to morphological
species nor coincide with the distribution of chloroplast haplotypes  and  characteristic of
R. glauca and R. tomentosa respectively owever placing these two groups onto a geographical
map of the area ig  shows that they are not arbitrary e first group marked black in the
pie diagrams is concentrated in  and  parts of the area while the specimens of the second
group grey are mostly concentrated in the  e differences in group membership are roughly
proportional to the distance between the localities is observation may serve as an argument in
favor of interpretation of morphological variability of dogroses in the area under consideration
as mostly intraspecific while the variability in  markers reflects the restricted gene flow
between the geographically distanced localities e complex and yet unclear nature of species in

ocal differentiation and hybridization in wild rose populations in estern kraine
Rosa section aninae makes impossible to draw any final conclusion from our data evertheless
at the adopted level of approximation all the dogrose plants behave as a single species is
partly may explain the fact why some morphotypes of the dogroses are common like R. canina
while others are rare like R. caryophyllacea or R. podolica despite they grow together in the same
habitat bsolutely the same pattern is observed in diploid outcrossing populations of R. majalis
    where morphotypes with glabrous R. glabrifolia   ey
or glandulous R. gorinkensis illd leaves may occur in different proportions in populations of
otherwise morphologically typical R. majalis
onclusions
 Rosa canina is the morphologically most diverse species in the area under consideration ts
different morphotypes are characterized by variously pubescent and glandulous leaves peduncles
hypanthia and loose to dense heads of styles as well as the presence of two rare chloroplast trn
ndh haplotypes characteristic of R. tomentosa and R. glauca. ese species however show no
clear differentiation from the rest of the dogrose specimens studied regarding their  marker
compositions ayesian analyses include them in R. canina with high posterior probabilities
us circumscribed R. canina sl shows clear geographical differentiation between its eastern
and western local populations distanced ca  km from each other probably due to restricted
gene flow
 Rosa gallica shows no sign of geographical differentiation in this area regarding its morphology
or  marker composition owever it rarely hybridizes with dogroses being always the
pollen parent e presence of putative backcrosses indicates to a probable introgression between
R. gallica and the dogroses
Figure 6. eographical distribution of dogrose specimens assigned to groups  and  in the tructure analysis =
e size of circles approximately reflects the number of specimens sampled from each locality black sectors – group
 grey sectors – group 

         
 Rosa spinosissima is the rarest species in this area which is quite uniform in its characters t
does not seem to be involved into any hybridization with other species
cknowledgements
e study was financially supported by  grant no a for the first two
authors
eferences
A E. C. & T E. A. (2002):model based method for identifying species hybrids using
multilocus genetic data – enetics 160 –
B J. B. (2000): ross hecker computer assisted scoring of genetic  data – lant nimal
enome th onf  iego  anuary –  httpwheatpwusdagovjag
paperspaperindexphtml 
B I. O. (2001): Rosa  – n    ed lora uropae rientalis ol 10 –
– t etersburg ir i semya n ussian
C M., P D. & C K. A. (2000):  a computer program to estimate gene
genealogies – ol col 9 –
DC K., V M K., B P., V B E. & V S J. (2008):
orphological and based differentiation within the taxonomical complex section aninae
subgenus Rosa – nn ot 102  
F F. (1951): nfluence of the pollen giver on the production of hips achenes and seeds in the
anina oses – cta orti ergiani 16 –
F D., S M. & P J. (2007): nference of population structure using multilocus
genotype data dominant markers and null alleles – ol col otes 7  –
G A. (1944): e constitution of the Rosa canina complex – ereditas 30  
H T. A. (1999): iodit a userfriendly biological sequence alignment editor and analysis program for
indows  – ucl cids ymp er 41  –
H Ø., H D. A. T. & R P. D. (2001): alaeontological tatistics software package
for education and data analysis alaeontologia lectronica 4  pp – httppalaeo
electronicaorg_pastissue_htm 
H H. (2003):  Rosa – n eber   rsg ustav egi  llustrierte lora von itteleuropa
nd ed and  eil  permatophyta ngiospermae icotyledones  osaceae
osengewächse – – erlin arey uchverlag
K I. (1969): ytology and some chromosome numbers of zechoslovak oses  – olia geobot
phytotax 4  –
K I. & N A. T. (1974): ytological studies of the genus Rosa with special reference
to the section aninae – ereditas 76 –
K I. (1968): Rosa  – n   et al eds lora uropaea ol 2  – – ambridge
ambridge niversity ress
M J. & P R. (1982): aryological studies in the olish representatives of the genus Rosa 
 – cta biol racoviensia er ot 24  –
M J. & P R. (1984): aryological studies in the olish representatives of the genus Rosa 
 – cta biol racoviensia er ot 26  –
P J. K., S M. & DP. (2000): nference of population structure using multilocus
genotype data – enetics 155  –

ocal differentiation and hybridization in wild rose populations in estern kraine
R C. M. & W V. (2003): ale correlated nonmatroclinal character inheritance in reciprocal
hybrids of Rosa section aninae  er osaceae – lant yst vol 241  –
S I. A. & K N. A. (2010): nterspecific hybridization in wild roses Rosa  sect aninae
 – iol ull 37  
S I. A. & V A. V. (2007):  nter imple equence epeat markers reveal natural
intersectional hybridization in wild roses Rosa  sect aninae  er and sect
innamomeae  er – ulfenia 14 –
S I. A., V A. V. & O V. M. (2011):  critical study of wild roses Rosa  from the
homutovskaya steppe reserve – ull osc oc at 116 n press n ussian
S I. A. & V V. N. (2008): ow many species related to Rosa majalis grow in the
uropean part of ussia – ot hurn 93  – n ussian
S J., L E. B., S E. E. & S R. L. (2007): omparison of whole chloroplast genome
sequences to choose noncoding regions for phylogenetic studies in angiosperms the tortoise and
the hare  – mer  ot 94  –
WG. & NH. (2001): kewed distribution of morphological character scores and molecular
markers in three interspecific crosses in Rosa section Caninae – ereditas 134 –
W G., U M. & N H. (1999): orphological and  markers show a highly
skewed distribution in a pair of reciprocal crosses between hemisexual dogrose species Rosa sect
aninae – eor ppl enet 98 –
W V. (2003): onventional taxonomy wild roses – n       
eds ncyclopedia of rose science – – ondon cademic ress
W V. & H F. H. (1997): eproduction and hybridisation in the genus Rosa section
aninae er ehd – ot cta 110 –
W V. & R C. M. (2007): volutionary patterns and processes in the genus Rosa osaceae
and their implications for hostparasite coevolution – l yst vol 266  –
ddresses of the authors
van  chanzer
lina  edorova
erbarium 
sitsin ain otanical arden ussian cademy of ciences
 otanicheskaya str
 oscow
ussia
mail ischanzer@mailru
lexander  agalo
nstitute of cology of the arpathians ational cademy of ciences of kraine
 ozelnitzka str
 viv
kraine

         
Appendix 1. ampled localities and specimens composition enank accession numbers of trnndh sequences
are given in parentheses after specimen numbers
ocality abel eographical
coordinates ample composition
viv region olochiv district near the
hulychi village ature reserve ora
ysoka pine wood margin on a slope
   
   
R. gallica
 
R. podolica

R. subcanina




R. tomentosa
 
viv region olochiv district near the
hervone village ature reserve ora
ysa and ora ypukha mixed wood
margin on a steppe slope
    
   
R. canina
 
R. gallica
 
R. subcanina

 
R. tomentosa

R. sp indet

ernopil region erezhany district near
the utysko village
ature reserve ora olytsya steppe
slopes
    
   
R. canina


 
 
 
 
 

R. corymbifera

 
R. gallica
 
 
 
R. gallica hybr
 
R. jundzillii
 
R. parviuscula
 
 
 
R. porrectidens
 

R. subcanina
 
R. spinosissima
 
 

ocal differentiation and hybridization in wild rose populations in estern kraine
ocality abel eographical
coordinates ample composition
ernopil region idvolochysk district
near the stapie village ature reserve
edobory stony steppe with limestone
outcrops
     
    –
R. gallica
 
 
 
 
 
 
 
R. subcanina
 
 
 


 
R. spinosissima
 
R. canina

 


 
 
 
 
 
 
 
 
R. caryophyllacea

 
R. sp indet
 
 
R. tomentosa
 
R. glauca
 
R. porrectidens

vanorankivsk region alych district
 of ovshev village left bank of
urshtyn reservoir at nyla ypa iv
asova ora hill ational ature ark
alytskyy
    
   
R. canina
 
 
 
 
R. gallica
 
 
 
 
... Sections Banksianae, Bracteatae, Indicae, Laevigatae and Synstylae have 2n=2x, Gallicanae 2n=4x, Carolinae and Pimpinellifoliae 2n=2x and 4x, Caninae 2n=4x, 5x and 6x, and Cinnamomeae 2n=2x, 4x, 6x and 8x. Wissemann and Ritz (2005), Werlemark et al. (1999), Nybom et al., (2004) and Fedorova et al. (2010) claim that all Caninae are allopolyploids with 2n=4x, 5x or 6x, n=7. However, only two genomes of the 4, 5 or 6 in nucleus of the polyploid Canina match and form bivalents during meiosis. ...
... During meiosis 2, 3 or 4 unpaired genomes form univalents, transfer exclusively via egg cells and get lost in pollen mother cells. Such unbalanced meiosis in section Caninae results in a very distorted, mainly matroclinal character of inheritance at the morphological and molecular level respectively (Fedorova et al., 2010). Matroclinal inheritance in Caninae is mostly due to the special reproductive system called "balanced heterogamy" as mentioned by Fagerlind, 1951 andRitz, 2007 (according to Fedorova et al., 2010). ...
... Such unbalanced meiosis in section Caninae results in a very distorted, mainly matroclinal character of inheritance at the morphological and molecular level respectively (Fedorova et al., 2010). Matroclinal inheritance in Caninae is mostly due to the special reproductive system called "balanced heterogamy" as mentioned by Fagerlind, 1951 andRitz, 2007 (according to Fedorova et al., 2010). ...
Article
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Soil degradation resulting from soil salinity and sodicityis a major problem under arid and semiarid climates. Nearly 831 million hectares of land are salt-affected worldwide. The high salt concentration negatively affects soil physical and chemical properties as well as soil microbial activity, thus causing a decline in soil productivity. It has led to the depletion of soil organic carbon, decline in biomass production, contamination of water resources, and emission of greenhouse gases such as CO2 at an accelerated rate. The initial hydration of sodic clays leads to slaking and swelling while continuous hydration results in dispersion of clay particles. Saline and sodic soils usually suffer from poor physical properties, including high bulk density, low macroporosity and aggregate stability. Therefore, management of such soils is challenging. The fundamental issue of soil quality improvement may in a long-term have a aim to restore an earlier state for the required crop production purposes or to limit and/or slowing down the further deterioration, in order to reservations the original values and features of the soil properties. Appropriate tillage is key factor for mitigation of negative effect, while application of organic matter through various sources is another amelioration strategy for salt-affected soils. These procedures affect soil physical, chemical and biological properties. Tillage improves aeration and alleviates compaction while organic matter promotes binding soil particles into aggregates. Present paper present positive aspect of tillage and amendment addition (gypsum, farmyard manure, sulfur) on properties of saline-sodic soils using available literature.
... Zielinski (1982) describes the species from Iran and Azerbaijan, and an expedition in this region also recorded a single occurrence (Rafiqpoor & Lobin 2007). For Western Ukraine, Fedorova, Schanzer & Kagalo (2010) mentioned several occurrences in the Ternopil region. ...
... In Estonia R. spinosissima is found on pseudopodsolic soils (Niinemets 1998); this may be an unusual stand of the species, because it is introduced to this region, but it does show its tolerance of such soil. In the Ukraine it grows on stony steppe with limestone outcrops (Fedorova, Schanzer & Kagalo 2010). Moore (1931) measured soil pH values between 5.8 and 7.6 in stands of the species in different communities on the Isle of Man. ...
Article
1. This account presents information on all aspects of the biology of Rosa spinosissima L. (R. pimpinellifolia L.) that are relevant to understanding its ecological characteristics and behaviour. The main topics are presented within the standard framework of the Biological Flora of the British Isles: distribution, habitat, communities, responses to biotic factors, responses to environment, structure and physiology, phenology, floral and seed characters, herbivores and disease, history, and conservation. 2. Rosa spinosissima is a small, deciduous shrub forming clonal patches from root suckers. In Britain it is common on stabilized coastal dunes, more or less base-rich heaths, and on open, dry habitats on chalk or limestone inland. It is naturally distributed across temperate Europe and western and central Asia. 3. The small leaves and leaflets, in combination with many straight or slightly curved bristles and prickles, and the black hips, make R. spinosissima easily recognizable in Britain. It normally does not exceed 10–40 cm but cultivars often grow taller. 4. The seeds are dispersed by birds and other animals, particularly as the hips are a favoured diet of birds, because of the high vitamin and anthocyanin content. Vegetative spread is frequent through the root suckers. 5. Cultivars are commonly planted for amenity and in gardens. The origin of the cultivars is not known, but genetic exchange of these with natural British populations may lead to introgression with genotypes which are not locally adapted. The invasive Rosa rugosa may be a threat in some coastal habitats as this species is displacing R. spinosissima on the German North Sea coast.
... We have chosen a plastid intergenic spacer (IGS) ndhC-trnV to trace the maternal lineage of roses and to minimize the effects of reticular evolution on phylogenetic reconstruction to reveal the limits and relationships of major groups within the genus. This region was shown as highly variable for different groups of flowering plants (Shaw et al., 2007), including the genus Rosa (Fedorova et al., 2010;Meng et al., 2011;Schanzer et al., 2011Schanzer et al., , 2020Zhu et al., 2015;Zhang et al., 2022). The use of a single marker is often criticized as insufficient for phylogeny reconstruction. ...
... It is also worth mentioning that Rosa gallica is highly popular as an ornamental plant and has a number of derived cultivars (Monder, 2014). However, this taxon has poorly differentiated morphology in its natural geographical range and rarely hybridises with other rose species (Fedorova et al., 2010). Although several studies have presented the characteristics of phytocoenoses comprising Rosa gallica (Towpasz & Cwener, 2002;Valachovič, 2004;Brzeg, 2005;Sărăţeanu et al., 2011;Wójcik et al., 2014) and some features of the species (Wójcik et al., 2014), its habitat requirements are still not fully known. ...
Article
Full-text available
Rosa gallica is a rare, threatened, and legally protected species; hence, research on this species is important for identification of threats and development of protection strategies. The aim of the study was to characterise plant communities with Rosa gallica and to determine the habitat conditions, abundance, and diversity of selected population traits. The study was conducted in 2016-2020 in two localities (Bukowa, Kołaczyce) in Strzyżów Foothills. Twenty phytosociological relevés were made using the Braun-Blanquet method. The habitat conditions were assessed using Ellenberg indicator values. The following parameters were used to evaluate the diversity and quantitative relationships between the species in the analysed communities: Shannon-Wiener diversity (H՛), Evenness (J՛), and Simpson dominance (SIMP) indices. The size of the analysed populations was estimated based on the number of vegetative and generative shoots. Height was measured in 100 randomly selected shoots, and the number of flowers per generative shoot was additionally determined. Rosa gallica was part of the community with Brachypodium pinnatum in the Bukowa locality and occurred in the association Arrhenatheretum elatioris in Kołaczyce. The diversity indices had higher values in Kołaczyce. The population in Bukowa covered an area of 500 m2 and comprised 911 (578 generative and 333 vegetative) shoots. From 1 to 10 flowers per shoot were noted. The population from Kołaczyce occupied a twofold smaller area and was less numerous, i.e. 465 (168 generative and 297 vegetative) shoots were recorded. It was also characterised by less abundant flowering (1-5 flowers per shoot). There were differences in the height of the generative and vegetative shoots. The parameter exhibited higher values in Bukowa (55.17 and 36.95 cm, respectively) than in Kołaczyce (33.79 and 26.79 cm, respectively). All the habitat indices (except for K and R) and the biodiversity indices had higher values in Kołaczyce. The present results show that Rosa gallica occurs in a wide range of habitats varying in light, moisture, and fertility requirements. It grows in different-sized clusters or sometimes produces single shoots. Advanced succession has a negative impact on the conservation status of the population, which is particularly evident in the Kołaczyce locality. Therefore, the conservation of this species will depend on active protection measures.
... For this study we used three DNA regions: nuclear ribosomal internal transcribed spacer 1-2, and plastid psbA-trnH and ndhC-trnV intergenic spacers. These regions were shown as highly variable for different groups of flowering plants (Shaw et al. 2007), including the genus Rosa (Fedorova et al. 2010, Meng et al. 2011, Zhu et al. 2015. The ITS1-2 region was amplified with NNC-18S10 (AGGAGAAGTCGTAACAA) and C26A (GTTTCTTTTCCTCCGCT) primers (Wen & Zimmer 1996). ...
Article
Rosa × archipelagica is a spontaneous hybrid between Rosa rugosa and R. maximowicziana distributed, together with its parental taxa, on the coast of a small Stenina Island in the Peter the Great Gulf, the Sea of Japan (Russian Far East). Its hybrid origin is confirmed by direct electropherogram comparisons of PCR products and maximum likelihood analyses of nuclear ITS 1–2 and plastid intergenic spacers trnH–psbA and ndhC–trnV. The plastome markers indicate R. maximowicziana as the maternal genome donor of Rosa × archipelagica, however, one specimen shows also signs of heteroplasmy. This is the first evidence of possible biparental inheritance of plastids in rose hybrids. The results do not show whether the hybrid plants all belong to F1 or further generations of hybrids.
... Subclusters sharing identical genotype at 6 SSR loci (2-6 individuals with Jaccard similarity = 1) have been observed in all three populations which might be partly the consequence of apomixis which is quite common in dog rose (Nybom et al., 2004). However, considering the substantial variation of pomological traits within these "subgroups of identical genotypes" the inability of microsatellites to distinguish all genotypes could be also due to insufficient number of applied polymorphic SSR loci and matroclinal inheritance observed in dog rose (Fedorova et al., 2010). ...
Article
Full-text available
Dog rose (Rosa canina L.) is a cosmopolitan plant species that due to its nutritional, medical and cosmetic values deserves more attention. Dog roses are cultivated in Croatia on very small scale and most of the rose hip used in the domestic processing industry is imported. In this study, three dog rose F1 progeny populations developed from selected plants collected in Korčula, Malešnica and Prigorje Brdovečko, originating from two climatic regions (P1 - Mediterranean and P2 and P3 - continental) have been studied as a part of a field experiment for two growing seasons, in order to assess the level of genetic variability for pomological and agronomic traits. In addition, genetic variation within and among examined three dog rose populations has been assessed using 6 polymorphic SSR markers. The highest variability, as well as the most desirable agronomic traits were found within the P3 population, while the lowest ones were present in the P1 population. Most desirable properties and highest values for commercially important traits were detected in the genotype RC29 (P3). Molecular data was sufficient to separate three studied populations but not all individuals within the populations. Through selection and hybridization of perspective genotypes of dog roses from Croatia, it would be possible to create clonally propagated varieties suitable for commercial cultivation.
... Subclusters sharing identical genotype at 6 SSR loci (2-6 individuals with Jaccard similarity = 1) have been observed in all three populations which might be partly the consequence of apomixis which is quite common in dog rose (Nybom et al., 2004). However, considering the substantial variation of pomological traits within these "subgroups of identical genotypes" the inability of microsatellites to distinguish all genotypes could be also due to insufficient number of applied polymorphic SSR loci and matroclinal inheritance observed in dog rose (Fedorova et al., 2010). ...
Article
Full-text available
Species of the genus Rosa have always been known for their beauty, healing properties and nutritional value. Since only a small number of properties had been studied, attempts to classify and systematize roses until the 16th century did not give any results. Botanists of the 17th and 18th century paved the way for natural classifications. At the beginning of the 19th century, de Candolle and Lindley considered a larger number of morphological characters. Since the number of described species became larger, division into sections and subsections was introduced in the genus Rosa. Small differences between species and the number of transitional forms lead to taxonomic confusion and created many different classifications. This problem was not solved in the 20th century either. In addition to the absence of clear differences between species, the complexity of the genus is influenced by extensive hybridization and incomplete sorting by origin, as well as polyploidy. Different analytical methods used along with traditional, morphological methods help us clarify the phylogenetic relations within the genus and give a clearer picture of the botanical classification of the genus Rosa. Molecular markers are used the most, especially AFLPs and SSRs. Nevertheless, phylogenetic relationships within the genus Rosa have not been fully clarified. The diversity of the genus Rosa has not been specifically analyzed in Croatia until now.
... Furthermore, because AFLP markers are considered to be widely distributed across the genome this is considered to be a useful molecular marker technique to resolve phylogenetic relationships among closely related plant taxa , Zuriaga et al. 2009, Culumber et al. 2011) including comparisons of different species within the genus Crocus (Surányi et al. 2010, Erol et al. 2011, Larsen et al. 2015. In addition to standard phylogenetic analyses of fingerprinting data, species have been included in Bayesian clustering (BC) based hybridity testing analyses to resolve parentage-an approach found to be highly useful in the identification of hybrid lineages (Fedorova et al. 2010, Schanzer et al. 2012. Combining AFLP data with cpDNA sequences has also been applied to the phylogenetic analysis of many plant species (Després et al. 2003, Arrigo et al. 2011, Lo Presti & Oberprieler 2011. ...
Article
Full-text available
Although dysploidy and polyploidisation events are known to be important drivers in the evolutionary history of the genus Crocus, only a few examples of natural hybrid origins have so far been documented. Here, we describe the phylogenetic affinities of five taxa in the Crocus vernus species complex from the Carpathian Basin in Central Europe. Genetic variability was evaluated using chloroplast DNA sequences of the accD-psaI intergenic spacer and amplified fragment length polymorphism (AFLP) in combination with karyological observations. Genetic diversity and differentiation of the seven investigated Crocus species were also evaluated using AFLP data. We created a phylogenetic hypothesis using both sequences and AFLP fingerprinting data under maximum parsimony (MP). AFLPs were also analysed by means of multivariate statistics using principal coordinate (PCoA) analysis and Bayesian clustering (BC) to test for hybridity. Both the AFLP and plastid phylogenetic trees separated the taxa into two groups: (1) a ‘Balkan’ clade, and; (2) an ‘Adriatic’ clade. The Balkan clade contained Crocus heuffelianus samples and one Crocus vittatus from Croatia as well as Crocus tommasinianus samples from Hungary; the Adriatic clade included Crocus vittatus and Crocus vernus samples from Hungary and Croatia as well as Crocus neapolitanus from Italy. A hard incongruence was found in the placement of the Slovakian Crocus scepusiensis which clustered inside the Balkan clade on our plastid tree, while it fell in the Adriatic clade on the AFLP tree. The same populations occupied intermediate position on the PCoA plot. The BC analysis assigned all Crocus scepusiensis specimens as F1 hybrids, while Crocus vernus and Crocus heuffelianus were assigned as parental species. Together with our cytological investigation that determined a 2n=18 chromosome number of Crocus scepusiensis, we conclude an allopolyploid hybrid origin for this Northern Carpathian taxon as the result of a cross between members of the 2n=10 Balkan clade (e.g., Crocus heuffelianus from Transylvania) and the 2n=8 Adriatic clade (Crocus vernus). A similar origin is postulated for the North Balkan Crocus vittatus (2n=18), which was clustered as an F1 hybrid in the BC analysis; thus, parallel evolution may have taken place in the northern and southern part of the Carpathian Basin beginning from the same parental species but leading to different allopolyploid derivatives.
... The average length is 1146 bp and it ranges from 318-1800 bp. The trnV-ndhC region has been used as a good species-specific marker to differentiate wild Rose populations (Fedorova et al., 2010) and can be used as a barcode to distinguish species of the genus Psiguria (Steele et al., 2010). The region has also been used to gain insights to southeastern Castanea populations with intermediate morphologies (Shaw et al., 2007;Binkley, 2008). ...
Article
Full-text available
By the method of data re-collection and re-assessment, we here test the completeness of distribution areas of the species and species aggregates of Rosa in Eastern Europe as mapped in volume 13 of Atlas Florae Europaeae (AFE), and discuss insights into the issues connected with the data. We found many new occurrences which are additions to the published maps: 1068 records of species and 570 records of species aggregates. The new occurrences are listed with references to the sources, and the updated AFE maps are provided. The greatest increase by new native occurrences was revealed for the species that are widespread or taxonomically complicated, and by new alien occurrences for the species that currently expand their secondary distribution areas. The mapping work published in 2004 is considered good, with minor omissions caused by possible oversights and incomplete sampling. The majority of new additions originated in the period after the original data collection. Nearly the same amount of new data originated from larger and smaller herbarium collections, underlining the value of small collections for chorological studies. We found that only ca 20% of new records based on herbarium specimens have been published, thus highlighting the need for data papers for publication of distributional data. The greatest increase by new records based on herbarium specimens was found for insufficiently studied territories (Belarus, central, northern and eastern parts of Russia), whereas the same level of increase for the territories with reasonably good coverage (Latvia) was achieved by observations. We conclude that the overall sparsity of published records in Eastern Europe is caused by a lower level of data collection rather than by poor data availability, and that floristic surveys based on herbarium specimens cannot compete in speed and density of records with observation-based surveys, which may become the main source of distributional information in the future.
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A comprehensive, but simple-to-use software package for executing a range of standard numerical analysis and operations used in quantitative paleontology has been developed. The program, called PAST (PAleontological STatistics), runs on standard Windows computers and is available free of charge. PAST integrates spreadsheettype data entry with univariate and multivariate statistics, curve fitting, time-series analysis, data plotting, and simple phylogenetic analysis. Many of the functions are specific to paleontology and ecology, and these functions are not found in standard, more extensive, statistical packages. PAST also includes fourteen case studies (data files and exercises) illustrating use of the program for paleontological problems, making it a complete educational package for courses in quantitative methods.
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