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Influence of host genetic origin and geographic location on QPX disease in Northern quahogs (= hard clams)

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QPX (Quahog Parasite Unknown) a protistan pathogen of northern quahogs (=hard clams), Mercenaria mercenaria, has caused disease outbreaks in maritime Canada, and in Massachusetts, New York, New Jersey, and Virginia, USA. Although epizootics have occurred in wild hard clam populations, the parasite has most seriously affected cultured hard clams, suggesting that aquaculture practices may promote or predispose clams to the disease. In this investigation the influence of clam genetic origin and the geographic location at where they are grown on QPX disease susceptibility was examined in a common garden experiment. Aquaculture stocks were acquired from hatcheries in Massachusetts, New Jersey, Virginia, South Carolina, and Florida and spawned at a single hatchery in Virginia. All stocks were originally, although not exclusively, derived from wild hard clam populations from each state. The seed clams were deployed at two sites, New Jersey and Virginia, and evaluated during the subsequent 2.5 y for growth, survival, and QPX disease. At both sites, South Carolina- and Florida-derived clam stocks exhibited significantly higher QPX prevalence and lower survival than New Jersey and Massachusetts clam stocks. Levels in the Virginia stock were intermediate. In Virginia, mortality at the termination of the experiment was 78%, 52%, 36%, 33%, and 20% in the Florida, South Carolina, Virginia, Massachusetts, and New Jersey hard clam stocks, respectively. Mortality was significantly correlated with QPX prevalence. Maximum QPX prevalence in the South Carolina and Florida stocks ranged from 19% to 21% and 27% to 29%, respectively, whereas in the Virginia, New Jersey, and Massachusetts stocks prevalence was 10% or less. Similar trends were observed in New Jersey where mortality at the termination of the experiment was estimated to be 53%, 40%, 20%, 6%, and 4% in the Florida, South Carolina, Virginia, Massachusetts, and New Jersey clam stocks, respectively. QPX prevalence peaked at 18% in the Florida stock, 38% in the South Carolina, 18% in the Virginia, and 5% in the New Jersey and Massachusetts stocks. These results suggest that host genotype is an important determinant in susceptibility to QPX disease. As such, hard clam culturist should consider the genetic origin of clam seed stocks an important component of their QPX disease avoidance/management strategies.
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INFLUENCE OF HOST GENETIC ORIGIN AND GEOGRAPHIC LOCATION ON
QPX DISEASE IN NORTHERN QUAHOGS (=HARD CLAMS),
MERCENARIA MERCENARIA
LISA M. RAGONE CALVO,
1
* SUSAN E. FORD,
2
JOHN N. KRAEUTER,
2
DALE F. LEAVITT,
3
ROXANNA SMOLOWITZ
4
AND EUGENE M. BURRESON
1
1
Virginia Institute of Marine Science, College of William and Mary, P.O. Box 1346, Rt. 1208, Gloucester
Point, VA 23062;
2
Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ 08349;
3
Roger Williams University, Bristol, RI 02809;
4
Marine Biological Laboratory, Woods Hole, MA 02543
ABSTRACT QPX (Quahog Parasite Unknown) a protistan pathogen of northern quahogs (=hard clams), Mercenaria
mercenaria, has caused disease outbreaks in maritime Canada, and in Massachusetts, New York, New Jersey, and Virginia,
USA. Althoughepizootics have occurred in wild hard clam populations, the parasite has most seriously affectedcultured hard clams,
suggesting that aquaculture practices may promote or predispose clams to the disease. In this investigation the influence of clam
genetic origin and the geographic location at where they are grown on QPX disease susceptibility was examined in a common garden
experiment. Aquaculture stocks were acquired from hatcheries in Massachusetts, New Jersey, Virginia,South Carolina, and Florida
and spawned at a single hatchery in Virginia. All stocks were originally, although not exclusively, derived from wild hard clam
populations from each state. The seed clams were deployed at two sites, New Jersey and Virginia, and evaluated during the
subsequent 2.5 y for growth, survival, and QPX disease. At both sites, South Carolina- and Florida-derived clam stocks exhibited
significantly higher QPX prevalence and lower survival than New Jersey and Massachusetts clam stocks. Levels in the Virginia stock
were intermediate. In Virginia, mortality at the termination of the experiment was 78%, 52%, 36%, 33%, and 20% in the Florida,
South Carolina, Virginia, Massachusetts, and New Jersey hard clam stocks, respectively. Mortality was significantly correlated with
QPX prevalence. Maximum QPX prevalence in the South Carolina and Florida stocks ranged from 19% to 21% and 27% to 29%,
respectively, whereas in the Virginia, New Jersey, and Massachusetts stocks prevalence was 10% or less. Similar trends were
observed in New Jersey where mortality at the termination of the experiment was estimated to be 53%, 40%, 20%, 6%, and 4% in
the Florida, South Carolina, Virginia, Massachusetts, and New Jersey clam stocks, respectively. QPX prevalence peaked at 18% in
the Florida stock, 38% in the South Carolina, 18% in the Virginia, and 5% in the New Jersey and Massachusetts stocks. These
results suggest that host genotype is an important determinant in susceptibility to QPX disease. As such, hard clam culturist should
consider the genetic origin of clam seed stocks an important component of their QPX disease avoidance/management strategies.
KEY WORDS: QPX, quahog hard clam, Mercenaria, parasite, disease, genetics, environment, aquaculture
INTRODUCTION
Wild and cultured northern quahogs (=hard clams), Mer-
cenaria mercenaria represent an important natural resource in
coastal and estuarine lagoons along the east coast of the United
States. Wild stocks have long supported commercial and
recreational fisheries in these areas; however, in some regions
harvests have been declining over the last two decades. In
contrast, aquaculture production of hard clams has increased in
the last 25+years. Clams are being cultured along the eastern
seaboard of the United States from Maine to Florida.
Unlike other bivalve aquaculture species, hard clam seed
cannot be found naturally in quantities suitable for commercial
applications, and hard clam aquaculture is solely dependent on
hatchery-produced seed. Commercial hatcheries have devel-
oped from Maine to Florida. These hatcheries supply hundreds
of farms with seed and a significant amount of seed is trans-
ferred between states. Because of industry’s dependence on
hatchery production of juvenile clams, and because clam seed is
often in short supply, growers often plant whatever seed is
available or costs the least when they are ready to plant. The
genetic composition of clam seed can vary significantly from
region to region (Menzel 1989) and genetic data and anecdotal
evidence suggests that growth and survival traits are heritable
(Hilbish 2001). Commercial hatcheries and research institutions
have used selective breeding strategies to enhance hard clam
growth and survival performance; however, rigorous genetic
studies have been limited and there is great potential for marked
enhancement of economically important performance charac-
teristics through further domestication.
Historically disease has not been a problem for the industry,
but in the early1990s QPX emerged as a locally serious disease
problem and has caused significant losses of cultured hard
clams in Massachusetts (Smolowitz et al. 1998), New Jersey
(Ford et al. 2002) and Virginia (Ragone Calvo et al. 1998); and
of wild clams in Massachusetts and New York (Smolowitz
unpublished, Dove et al. 2004). The epizootiology of QPX is
poorly understood. Based on morphological and molecular
analyses, QPX is a protist that has been tentatively classified as
a member of the Thraustochytriidae family within the phylum
Labyrinthulomycota (Whyte et al. 1994, Maas et al. 1999, Ragan
et al. 2000, Stokes et al. 2002). Thraustochytrids are widely
distributed in marine and estuarine environments and typically
are associated with detrital sediments, benthic algae, and marine
plants. Several organisms within the phylum can cause disease
(Polglase 1980, McLean & Porter 1982, Bower 1987).
It seems that QPX, like other thraustochytrids, is widely
distributed in areas from Canada to at least as far south as
Virginia. QPX may be an opportunistic parasite, which may
cause marked morbidity and mortality in clams that are
*Corresponding author. E-mail: calvo@hsrl.rutgers.edu
Current address: Haskin Shellfish Research Laboratory, Rutgers
University, Port Norris, NJ 08349
Journal of Shellfish Research, Vol. 26, No. 1, 109–119, 2007.
109
disadvantaged. The parasite has not been found in hatchery
seed suggesting it is acquired after planting (Ford et al. 1997).
Little is known about interactions between QPX, the hard
clam, and the environment. Severe outbreaks of the disease in
dense wild hard clam populations in Canada, New York, and
New Jersey point to host density as an important factor in QPX
epizootics. Ford et al. (2002) found that QPX prevalence
increased with increased planting density in a field experiment;
however, the trend was not statistically significant. The parasite
appears to be more prevalent in cultured clam plots than in wild
clam populations suggesting that culture practices may increase
the susceptibility of clams to QPX. Increased density might play
an important role, but another aquaculture-associated factor
that seems to be important is seed source. Under present culture
practices aquacultured seed may originate from non-local
stocks and sources. Anecdotal evidence from Massachusetts,
suggested that nonlocal clams imported from New Jersey
suffered greater losses to QPX than local stocks. In New Jersey,
clams originating from South Carolina clam lineages exhibited
heavy QPX infections and suffered mortalities of 26% to 92%,
whereas clams from local New Jersey stocks, planted in adjacent
plots, exhibited few QPX infections and experienced little
mortality (Ford et al. 2002). Ford et al. (2002) suggest that
QPX causes disease and mortality in non-local clam stocks that
may be disadvantaged in some way, perhaps by unfavorable
genotype-environment interactions.
Selection of clam seed may be an achievable management
strategy for QPX disease avoidance. In developing such a
strategy it is important to understand the interactions between
host genetics and QPX disease dynamics. This study examined
the effects of genetic origin of source populations and the
geographic location in which they are grown on host suscepti-
bility and QPX pathogenicity.
METHODS
Nursery and Hatchery Production of Test Stocks
Five clam stocks, representing lines from 5 geographic
origins, Massachusetts (MA), New Jersey (NJ), Virginia
(VA), South Carolina (SC), and Florida (FL), were produced
in spring 1999 at the Virginia Institute of Marine Science
(VIMS). Brood stocks for the study strains were obtained from
commercial and research hatcheries from the respective states.
All of the stocks had been selectively bred for fast growth
through at least several generations and were presently being
used by industry. All stocks were originally, although not
exclusively, derived from wild hard clam populations from each
state. Clams were reared following standard hatchery tech-
niques and clam seed was then grown in upwellers at VIMS in
Wachapreague, VA until planting in October 1999.
Initial Planting and Grow-out of Seed
In October 1999, clam seed was planted at QPX enzootic
areas in Virginia, New Jersey, and Massachusetts. However, we
report here only on the results from the Virginia and New Jersey
sites as significant weather related losses of clam seed occurred
early in the study at the Massachusetts location. The extent of
the loss was initially underestimated and subsequent sample
numbers were too low for rigorous statistical analyses. The
Virginia site was located in an intertidal area of Burton Bay
(37°35#,75°37#) (Fig. 1). Salinity at the site ranged from 28–33
ppt and the sediment was sandy. The New Jersey site was
located in Tuckerton (39°32#,74°20#) in a low intertidal area
with salinity ranging from 29–33 ppt and muddy sediments
(Fig. 1). In each location, four replicate 5 ft 35 ft (1.52 m 3
1.52 m) plots of each strain were planted at a density of 50 clams
Figure 1. Maps showing the locations of the New Jersey and Virginia field sites. Maps derived using http://maps.google.com.
RAGONE CALVO ET AL.110
ft
2
(538 clams m
2
) (1,250 clams per plot, 5,000 per strain,
25,000 per location). These densities are similar to those used by
commercial operations, but are considerably higher than most
reported natural population densities (Fegley 2001). Replicate
plots were distributed according to a randomized block design.
Distance between plots was approximately 0.61 m. Clam seed
was evenly broadcast within the plots and 0.5$(12.7 mm) mesh
netting was secured on top of the plots to reduce predation. The
plots were examined biweekly to monthly and nets were cleaned
as required by collaborating industry members and or project
personnel. Prior to field deployment an initial sample of 60
clams from each stock was examined for parasites and disease
using standard histological methods.
Replanting of the New Jersey Site
Severe winter conditions in early 2000 resulted in significant
losses of clam seed at the New Jersey site. In New Jersey
protective nets were lost as a result of icing and predation by
ducks caused nearly a total loss of the stocks. This site was
replanted in June 2000 with seed from the original spawns of the
MA, NJ, SC and FL stocks, which had overwintered in floats in
Wachapreague, VA. Unfortunately no seed was available from
the originally spawned VA stock. As a substitute a second
Virginia seed stock was obtained from a local commercial
hatchery (Middle Peninsula Aquaculture Corporation, North,
VA). The substitute seed was produced in the summer of 1999
and held through the fall and winter in land-based upwellers at
the commercial hatchery site. The seed was produced from
second-generation brood stock clams that were originally
derived from a cross of moderate salinity North River, Virginia
wild clams and a commercial hatchery stock containing selected
Virginia and Florida clams.
All plots were replanted as described above for the original
planting regimen, receiving 1,250 clams per plot, except for the
Florida stock plots, which received only 716 clams per plot
because of limited availability of seed. Samples taken from the
new plantings were examined in the same manner as initial plants.
Sampling Strategy
Clam size, condition, survival, and QPX prevalence and
intensity were assessed in April/May, August/September, and
November/December 2000; April/May, August and November
2001; and April 2002. On each sample date clams were sampled
from each replicate plot by random coring. Grids were overlaid
over plots and grid blocks were randomly selected for coring.
Core size varied depending on sediment conditions at each
particular site. In Virginia five 15.2-cm diameter cores were
sampled (total area 0.091 m
2
). In New Jersey, which had
muddier sediments, it was necessary to use a smaller core and
ten 10.2-cm diameter cores were taken (total area 0.081 m
2
). The
numbers of live and dead (articulated valves, known as ‘‘boxes’’
and paired disarticulated valves) clams within each core were
enumerated for the determination of survival/mortality rates.
Shell length, height, and width of 25 clams from each plot were
measured. Instantaneous (daily) growth rates were calculated
for each sampling interval. Clam samples for disease diagnosis
(n¼15) and for the determination of condition index (n¼10)
were collected from pooled core samples for each plot, yielding
a composite sample size of 60 for disease diagnosis and 40 for
condition index of each stock at each location.
On the final sample date, all plots were completely dug to
remove all remaining live and dead clams. In New Jersey, plots
were dug manually by rake and hand. In Virginia plots were dug
using a hydraulic dredge. All live and dead clams were
enumerated for calculation of final mortality estimates.
Disease Diagnosis
Gross and histological evaluations of clams sampled at each
sampling period from each plot were conducted in a standard-
ized, systematic method. After samples were collected they were
immediately transported to the respective laboratory, main-
tained at 4°C and usually processed within 18–96 h. Shell size
(length, height, and width), total weight, external shell charac-
teristics (such as localized or generalized checks in the shell,
gaping, chips or any other external characteristic) were noted
for each animal. The clams were then shucked and examined
grossly for any abnormal swellings or nodules in the mantles,
which can signify the presence of QPX. Tissues were fixed in
Davidson’s AFA (alcohol, formalin, and acetic acid) solution
(Shaw & Battle 1957).
Clams <25 mm in shell height were sectioned sagittally and
both sections were embedded, cut face down, for histological
analysis. For larger clams, three tissue pieces were embedded
and sectioned. The first piece was a transverse section
through the clam that included the digestive gland, gonad,
gills, mantle and stomach, and foot (posterior dorsal to
anterior-ventral). The second piece of tissue contained heart,
kidney, and pericardial tissue. The third was a small section
of mantle dissected from the area adjacent to the siphons
where QPX cells often lodge. Tissues were processed in
parafninoneortwoblocks(dependingonanimalsizeand
noted lesions), sectioned at 6 mm and stained using standard
methods. The intensity of QPX was assessed for each of the
five tissue types within an individual section: mantle, gill,
dorsal tissues (heart, kidney, pericardium, and dorsal intes-
tine), ventral tissues (ventral intestine, foot, ganglion, and
sinus), and visceral mass. Intensity was scored based on the
estimated number of live parasites: 1 ¼1–5, 2 ¼6–25, 3 ¼26–
50, and 4 ¼>50 per tissue type. Infection intensity scores for
each of the five tissue locations were summed to yield a QPX
intensity index. Histological and gross observations, along
with morphometric measurements, were tracked for each
individual clam.
Condition Index
Condition index is commonly used to evaluate the overall
condition of the organism. The calculation of the condition
index used in this study normalizes the dry soft tissue mass of
the clam to the shell cavity volume.
Individual clams were labeled and weighed. Clams were
shucked and soft tissues were removed, weighed, and dehy-
drated in a 60°C oven for 48 h, after which they were reweighed.
Condition index (CI) was calculated by the formula
CI ¼tissue dry weight=ðtotal weight shell weightÞð1Þ
in which the shell cavity volume is equated to the weight of the
tissue and fluid contained therein, under the assumption that
they have a specific gravity of approximately 1 (1 gm mL
1
)
(Lawrence & Scott 1982).
INFLUENCE OF HOST GENETICS AND LOCATION ON QPX 111
Water Parameters
Temperature data loggers (Onset Hobo, Bourne, MA) were
deployed at each site for the continuous monitoring of temper-
ature on an hourly basis. Salinity was measured using hand held
refractometers on all sample dates and periodically between
sample dates.
Statistical Analysis
The significance of the effects of clam stock and block on
hard clam growth (length, height, width, whole weight), condi-
tion, survival, and QPX prevalence and intensity index by date
was determined by a two-way analysis of variance (Zar 1984)
using SAS statistical software (SAS Institute Inc, Cary, NC,
USA). Mortality and prevalence values were arcsine trans-
formed prior to analysis and all data were examined for
homogeneity of variance using Cochran test (Winer 1971).
Main effects of stock and block (¼plot) and the interaction
of stock and block were tested for dependent variables (size,
condition, and QPX intensity index) that had within block
subsampling using the type III mean square for the interaction
of stock and block as an error term. Differences in mean
variables between stocks were further examined by Scheffe
´
multiple comparison test. Prevalence and mortality data were
arcsine transformed prior to analysis. Spearman Rank correla-
tion tests were conducted to examine the relationship of QPX
prevalence and mortality. Differences were considered signifi-
cant at a¼0.05.
RESULTS
Temperature
In Virginia mean monthly temperatures during the study
period ranged from 2.9°C to 27.7°C (Fig. 2). In New Jersey
temperatures were generally 1°Cto3°C lower than at the
Virginia site and mean monthly temperature during the study
ranged from 0.1°C to 25.3°C (Fig. 2).
Growth
Average shell length of seed clams at the time of planting at
the Virginia site in October 1999 ranged from 8.6–9.6 mm (Fig.
3). Florida clams appeared larger, but they differed significantly
only from the Virginia stock, which had the smallest mean shell
length of the five stocks. The effect of stock on shell length was
significant in spring, summer, and fall 2000 but not thereafter. On
the final sample date in April 2002, 2.5 y post planting, mean shell
lengths of the five stocks ranged from 48.3–52.0 mm (Table 1 and
Fig. 3). Similar trends were observed for shell height and width,
and whole weight. On nearly all sample dates the effects of block,
and stock by block interactions, on the variables length, height,
and width were significant indicating that the effect of stock on
these variables was to some degree dependent on location within
the block. Daily growth rates for each sampling interval did not
differ significantly among the five clam stocks (Fig. 4).
In New Jersey average shell length of seed clams at the time
of replanting in June 2000 ranged from 9.3–15.9 mm (Fig. 3).
Florida clams were significantly larger than all other stocks at
planting and the VA clams were significantly smaller than all
other stocks, which were statistically similar in size. Over the
course of the study VA clams were consistently the smallest, and
SC and FL were consistently the largest (Fig. 3). On the final
sample date, April 2002, mean shell lengths of the five stocks
ranged from 39.4–46.5 mm (Table 2). Mean shell length of the
FL and SC clams was significantly larger than that of the VA
clams and the SC clams were significantly larger than the MA
clams. Similar trends were observed for mean shell height,
width, and whole weight. As in Virginia, on nearly all sample
dates the effects of block and stock by block interactions on the
variables length, height, and width were significant, indicating
that the effect of stock on these variables was to some degree
dependent on placement within the blocks. Daily growth rates,
calculated for each sampling interval, did not significantly differ
among the five clam stocks (Fig. 4).
Figure 3. Mean shell length (mm) of hard clams from the Virginia (top)
and New Jersey (bottom) grow-out sites from time of planting, fall 1999
for Virginia and spring 2000 for New Jersey, through the termination
of the experiment in spring 2002. Means are contrasted for the 5 clam
stocks tested: Massachusetts ( MA), New Jersey ( NJ), Virginia
(VA), South Carolina ( SC), and Florida ( FL). Error bars
represent standard deviation (n¼3 for Virginia and n¼4 for New
Jersey).
Figure 2. Daily temperature (°C) at the Virginia and New Jersey hard
clam grow-out sites from October 1999 through April 2002.
RAGONE CALVO ET AL.112
Condition
Little variability in condition index was observed among
clam stocks at either site (Fig. 5). Mean condition indices were
highest in summer and spring and lowest in the fall. Statistically
significant differences in condition index among stocks were
observed on some dates, but a consistent trend among stocks
was not apparent. In general the NJ and MA clams had the
highest condition indices at both sites.
Mortality
Differences among strains with respect to survival were
striking, particularly in the second and third year of the
investigation. In Virginia the first estimate of mortality was
made in May 2000, eight months after planting. Mean mortality
at this time ranged from 18% to 32% with no significant
differences among stocks (Fig. 6). Estimated mortality changed
little through October 2000 and ranged from 10% to 45% in
spring and summer 2001. The effect of stock on mortality was
significant in spring 2001, but not in summer 2001. In the spring,
mortality in the FL and MA clams was significantly higher than
that in the SC stock. In fall 2001 differences among stocks were
greater because mortality of FL clams increased from 45% in
August to 60% in November. At this time, mortality in the FL
clams was significantly higher than that in the NJ and MA
stocks, which respectively exhibited 28% and 16% mortality.
At the termination of the experiment in April 2002, based on
total counts of all live and dead clams remaining in the plots,
final mean cumulative mortality was determined to be 78% in
FL, 52% in SC, 36% in VA, 33% in MA, and 20% in NJ clams
(Table 1). Mortality in the FL stock was significantly higher
than all other stocks. Mortality in the SC stock was significantly
higher than in the NJ stock. Total harvest yield demonstrated
similar rankings of losses among stocks (Table 3).
In New Jersey, the first estimate of mortality was made in
November 2000, five months after replanting. Mean mortality of
the five stocks at this time ranged from 14.9% to 40.1%, but no
significant differences among stocks were found (Fig. 6). In May
2001 mean mortality was estimated to be 22.1% in the NJ clams,
23.5% in the MA clams, 40.6% in the VA clams, 42.9% in the SC
clams, and 63.6% in the FL clams. Differences among stocks
were not statistically significant. In November 2001 mortality
was significantly higher in VA, SC, and FL clams (51.3, 60.4, and
77.4%, respectively) than in MA and NJ clams (26.4 and 24.7%).
At the termination of the study, based on total live and dead
counts, mortality was estimated to be 52.7% in FL clams, 39.8%
in SC clams, 19.6% in VA clams, 4.3% in NJ clams, and 6.2% in
MA clams (Table 2). Mortality in the FL stock was significantly
higher than that of MA, NJ, and VA clams, but it did not
significantly differ from the SC stock. Mortality in the SC clams
was significantly higher than MA and NJ, but did not differ
significantly from VA, which did not differ significantly from the
two more northern stocks. As in Virginia, total harvest yield
demonstrated similar ranking of losses among stocks (Table 3).
QPX Prevalence
QPX prevalence is based on individuals having detectable
infections containing live QPX cells. Some additional individuals
had infections containing moribund or dead QPX with no live
QPX cells apparent (Table 4). QPX was not detected in clams
TABLE 1.
Virginia site. Two-way ANOVA for effects of stock and block and multiple comparison (Scheffe
´’s test) for difference between stock
means of variables measured on the final sample date. Means with like scripts do not significantly differ.
Variable Effect df MS FPMean Stock
Shell length Stock 4 208.054 1.96 0.1704 52.03 SC a
Block 3 332.825 16.94 <0.0001 50.04 FL a
Stock 3Block 12 106.128 5.40 <0.0001 49.36 NJ a
48.56 MA a
48.33 VA a
Condition index Stock 4 1.209 0.51 0.7272 6.45 MA a
Block 3 5.708 5.05 0.0022 6.23 SC a
Stock 3Block 12 2.354 2.08 0.0239 6.22 FL a
6.09 NJ a
6.01 VA a
Mortality Stock 4 0.1871 29.57 <0.0001 77.98 FL a
Block 3 0.0182 2.87 0.0846 51.75 SC b
35.78 VA bc
32.70 MA bc
20.44 NJ c
QPX Prevalence Stock 4 0.0017 11.57 0.0006 28.9 FL a
Block 3 0.0031 2.05 0.1652 21.3 SC a
10.0 VA ab
1.7 NJ b
0MAb
QPX intensity Stock 4 12.842 5.92 0.0086 1.33 FL a
Block 3 1.264 0.67 0.5721 0.50 SC a
Stock 3Block 12 2.168 1.15 0.3250 0.23 VA ab
0.10 NJ b
0.00 MA b
INFLUENCE OF HOST GENETICS AND LOCATION ON QPX 113
sampled at the initiation of the experiment in October 1999, nor
in May 2000. In Virginia, clams began to exhibit detectable
infections in July 2000, less than one year after planting (Fig. 7).
Mean prevalence was 11% in FL clams, significantly higher
than in the other four stocks (0% to 3%). No infections were
detected in clams sampled in fall 2000; however, in May 2001
infections were observed in all clam stocks: 10% in SC, 9% in
FL, 7% in NJ, 3% in VA, and 2% in MA. In August 2001 and
November 2001, prevalence remained low in MA, NJ, and VA
clams (0–4%), but significantly increased in SC and FL to 19%
to 20% and 27% to 29% respectively. On the final sample date
in spring 2002, QPX prevalence remained high in the SC and FL
stocks (21% and 29% respectively) and prevalence in the VA
clams increased to 10%. Prevalence in the SC and FL clams was
again significantly higher than in the NJ and MA clam stocks,
but not from that in the VA clams (Table 1). QPX prevalence
significantly correlated with mortality in summer and fall 2001
and spring 2002 (Table 5).
QPX was first observed in clams planted at the New Jersey
site in May 2001, 11 mo after planting. Prevalence at this time
was 10% in FL, 8% in VA, 7% in SC, 2% in MA, and 0% in NJ
(Fig. 6). QPX was detected only in VA and FL stocks in August
2001 at respectively 10% and 5% prevalence. In November
2001 QPX prevalence was 18.3% in FL, 15% in SC and
significantly higher than the 0% in the three more northern
stocks. On the final sample date in April 2002, QPX prevalence
in MA and NJ clams (0 and 5%, respectively) was significantly
lower than that in SC clams (38.3%). Prevalence in the FL
clams (11.7%) and the VA clams (18.3%) did not differ
significantly from the other three stocks. QPX prevalence
significantly correlated with mortality in May, August and
November 2001, and April 2002 (Table 5).
QPX Infection Characterization
Infection intensity, like prevalence, showed no obvious
seasonal pattern. Mean infection intensities were relatively
low until the August 2001 sample in Virginia when intensity
in the FL stock began to climb rapidly and that of the SC stock
began a more gradual increase (Fig. 8). In Virginia, FL and SC
clams generally exhibited the highest QPX intensities among
the five tested stocks. The effect of stock on QPX intensity was
significant on the two final sample dates. In spring 2002,
infection intensities in the FL and SC stocks were significantly
higher than in the NJ, and MA, whereas the intensity in the VA
stock did not significantly differ from the more northern or
southern stocks (Table 1). With the exception of the MA stock,
which had only 4 individuals with detectable infections during
the entire study, the distribution of QPX within host tissues was
fairly consistent among stocks. The most frequently observed
infection location was mantle tissue; between 46% and 52% of
the infected individuals from the FL, SC, VA, and NJ exhibited
infections that were restricted to the mantle. No mantle infec-
tions were observed in the few infected MA clams. Although less
common, in all stocks, infections were also observed in various
combinations involving mantle, gill, visceral mass, dorsal, and
ventral tissues.
In New Jersey also, intensity generally remained <0.5; only
the SC showed a pronounced intensity peak, but not until the
final sample in April 2002 (Fig. 8). Clams from the FL, SC, and
VA stocks generally exhibited similar QPX intensity, which was
higher than that in the MA and NJ stocks (Fig. 8). The effect of
stock on QPX infection intensity was significant only in spring
2002 when intensities in the SC and VA stocks were significantly
higher than that in the NJ and MA clams, whereas intensity in
the FL stock did not differ significantly from the others. Infec-
tions at the New Jersey location, as in Virginia, most commonly
occurred in mantle tissue (48%).
In general, regardless of stock, lower-intensity infections
tended to be localized in mantle tissue, whereas more severe
infections were more likely to be multifocal and encompass
more than one tissue type. There did not appear to be a strong
association between clam stock and the distribution of the
parasite within host tissues at either grow-out location.
DISCUSSION
A common-garden experiment was conducted at two geo-
graphically separate sites to examine the effect of host genetic
origin and geographic location of growout on QPX disease in
hard clams. Progeny of five commercially popular and impor-
tant hard clam stocks from five states were hatchery reared at a
single location and transplanted to grow-out sites in Virginia
and New Jersey. The northern stocks, Massachusetts and New
Jersey, consistently had the lowest QPX levels and the best
survival.
The results of this investigation demonstrate clearly that
susceptibility of hard clams to QPX significantly varies with
stock origin. The northern stocks consistently had the lowest
QPX levels and the best survival. At the New Jersey and
Figure 4. Mean growth per day (mm) of hard clams from the Virginia
(top) and New Jersey (bottom) grow-out sites from time of planting, fall
1999 for Virginia and spring 2000 for New Jersey, through the termination
of the experiment in spring 2002. Means are contrasted for the 5
clam stocks tested: Massachusetts (nMA), New Jersey ( NJ), Virginia
( VA), South Carolina ( SC), and Florida (hFL). Error bars represent
standard deviation (n¼3 for Virginia and n¼4 for New Jersey).
RAGONE CALVO ET AL.114
Virginia sites, the South Carolina and Florida clam stocks
exhibited significantly higher QPX prevalences and lower
survival than the New Jersey and Massachusetts stocks. Clams
from Virginia had QPX prevalence and survival rates that were
intermediate between the ‘‘northern’’ and ‘‘southern’’ stocks.
Though it is premature to state that all Massachusetts or New
Jersey clam stocks are more resistant to QPX than all southern
stocks, our results are supported by anecdotal and published
(Ford et al. 2002) evidence suggesting that clams of southern
origin are more susceptible to QPX than local Virginia, New
Jersey, or Massachusetts stocks. The most severe QPX disease
associated losses of commercially cultured clams in Virginia
occurred in stocks originating from Florida (Ragone Calvo,
unpublished). Reports of clam producers indicate that in New
Jersey and Virginia, QPX epizootics in cultured hard clams have
abated following the voluntary (New Jersey) and mandatory
(Virginia) restrictions on importing clam seed produced from
South Carolina and Florida brood stocks. Likewise in Massa-
chusetts, QPX-associated mortalities of cultured hard clams
have decreased because the practice of importing seed from out-
of-area stocks has ceased (R. Smolowitz, unpublished). Never-
theless, in Massachusetts, significant losses still occur despite
the use of local clam seed, which proved to be highly resistant to
QPX in our study. Other factors, aside from host genotype, such
as environmental conditions and parasite abundance, may
explain the persistent epizootics in Massachusetts.
Variation in resistance to disease by geographically distinct
populations has been demonstrated for oysters (Haskin & Ford
1979, Bushek & Allen 1996), but our study is the first to clearly
document this for hard clams. The marked differences in QPX
susceptibility among stocks, suggests that there is a high degree
of genetic control of this trait. Several studies have indicated
that growth and survival traits in hard clams are heritable
(Hilbish 2001). Quantitative genetic analyses have demon-
strated a high degree of genetic variation in growth rates in
wild and cultured hard clam populations (Hilbish 2001, Camara
et al. 2006). Clams having genes from southern population
appear to exhibit higher growth rates than those having genes
from more northern populations. Additionally, there is some
indication that the magnitude of genetic variation in these traits
depends on the environment in which the hard clams are grown
(Rawson & Hilbish 1991, Camara et al. 2006). Consistently we
found considerably larger differences in mean size among stocks
at the final sampling in New Jersey compared with Virginia (see
Tables 1 and 2). The significant stock x block interactions in our
study indicate that environmental differences over even very
short distances can have a marked effect on clam growth. It
seems that particular stocks responded better to certain very
local conditions (i.e., downstream vs. upstream, offshore vs.
inshore, center vs. edge). Although we found no stock x block
interactions with respect to QPX infections in our experimental
sites, genotype-environment interactions over longer distances
may help explain variation in QPX susceptibility among
different hard clam source populations. Additional common
garden experiments conducted in multiple environments using
more than one stock from each region are required to further
assess this hypothesis.
In comparing the overall performance among stocks within
and between sites it is important to keep in mind that at the New
Jersey site the FL stock, because of limited availability, was
TABLE 2.
New Jersey site. Two-way ANOVA for effects of stock and block and multiple comparison (Scheffe
´’s test) for difference between stock
means of variables measured on the final sample date. Means with like scripts do not significantly differ.
Variable Effect df MS FPMean Stock
Shell length Stock 4 847.240 8.86 0.0014 46.51 SC a
Block 3 14.886 0.53 0.6600 45.02 FL ab
Stock 3Block 12 95.609 3.42 <0.0001 42.48 NJ abc
40.93 MA bc
39.39 VA c
Condition index Stock 4 8.630 0.37 0.8231 7.19 MA a
Block 3 4.064 1.12 0.3424 7.71 FL a
Stock 3Block 12 5.779 1.59 0.0971 7.69 SC a
7.37 NJ a
7.27 VA a
Mortality Stock 4 0.2845 21.78 <0.0001 52.7 FL a
Block 3 0.0086 0.66 0.5942 39.8 SC ab
19.6 VA bc
6.1 MA c
4.3 NJ c
QPX Prevalence Stock 4 0.2467 6.42 0.0053 38.3 SC a
Block 3 0.0493 1.12 0.3805 18.3 VA ab
11.7 FL ab
5.0 NJ b
0MAb
QPX intensity Stock 4 20.2916 7.83 0.0024 1.45 SC a
Block 3 1.7722 1.04 0.3754 0.52 VA a
Stock 3Block 12 2.5916 1.52 0.1161 0.38 FL ab
0.07 NJ b
0.00 MA b
INFLUENCE OF HOST GENETICS AND LOCATION ON QPX 115
planted at about half the density of the other four stocks. One
would expect lower planting densities to result in higher growth
rates as well as to impede parasite transmission resulting in
lower infection rates. In contrast, the FL clams, which were not
only at low density, but larger at the time of planting, did not
maintain a proportionately higher mean shell length in compar-
ison with the other four stocks, and attimes had the highest QPX
and mortality at the site. We must also note that between-site
comparisons of the Virginia source stocks should only be made
with the caveat that the VA stocks used in New Jersey and
Virginia were produced from different brood stocks and under
different conditions. Nevertheless, the relative performance of
the VA and FL stocks at the New Jersey and Virginia sites was
similar.
Initial mortality estimates were made in Virginia in May
2000, eight months after planting and in New Jersey in
November 2000, five months after replanting. At this time
mortality ranged from about 15% to 40%. This initial mortal-
ity was not associated with QPX infections and was likely
related to planting stress or small predators, and in the case of
the Virginia planting, winter-associated stress. The early mor-
tality is consistent with that typically observed in commercial
clam culture operations. In Virginia, QPX prevalence maxima
were 10% in the FL and SC stocks, and <5% in the others
through spring 2001, but beginning that summer, both preva-
lence and intensity began to rise in the FL and SC stocks.
Thereafter, a significant and positive correlation existed
between QPX prevalence and mortality, suggesting an associ-
ation of the mortality with progressively developing QPX
disease. At the New Jersey site, a significant correlation between
QPX prevalence and mortality existed at all sample dates, even
though maximum prevalence never exceeded 10% through
summer 2001. Given the low prevalence it seems unlikely that
the 50% to 60% mortality observed in the FL and SC stocks at
this time can be explained by QPX alone. More likely the
positive correlation between mortality and QPX may have been
a sign of stress in the southern stocks that led to mortality
from factors other than QPX as well as in increased suscepti-
bility to infection.
In Virginia, mortality significantly correlated with QPX prev-
alence on the final three sample dates, summer and fall 2001,
and spring 2002. At this time QPX prevalence in the SC and FL
stocks ranged between 20% and 30% and mortality was
estimated to be from about 30% to 78%. This is consistent with
other studies that have shown the occurrence of high mortality
at relatively low, 20% to 48%, QPX prevalence (Ragone Calvo
et al. 1998; R. Smolowitz, unpublished); however, other studies
have reported high mortality associated with much higher, up to
80%, QPX prevalence (Ford et al. 2002). Few studies have
sampled QPX-infected populations frequently enough to ade-
quately characterize epizootics. To date it seems that the general
pattern of QPX epizootics varies from situation to situation. In
some instances, high mortality is associated with relatively
high prevalence, whereas in other instances, lethal QPX infec-
tions may develop at a constant, low rate over time resulting in
Figure 6. Mean percent mortality of hard clams from the Virginia (top)
and New Jersey (bottom) grow-out sites from time of planting, fall 1999
for Virginia and spring 2000 for New Jersey, through the termination
of the experiment in spring 2002. Means are contrasted for the 5 clam
stocks tested: Massachusetts ( MA), New Jersey ( NJ), Virginia
(VA), South Carolina ( SC), and Florida ( FL). Mortality
on the final sample date was based on collection clams from whole plots,
those on other dates were based on random core samples. Error bars
represent standard error (n¼3 for Virginia and n¼4 for New Jersey).
Figure 5. Mean condition index of hard clams from the Virginia (top) and
New Jersey (bottom) grow-out sites from summer 2000 for Virginia and
fall 2000 for New Jersey through the termination of the experiment in
spring 2002. Means are contrasted for the 5 clam stocks tested:
Massachusetts ( MA), New Jersey ( NJ), Virginia ( VA),
South Carolina ( SC), and Florida ( FL). Error bars represent
standard deviation (n¼3 for Virginia and n¼4 for New Jersey).
RAGONE CALVO ET AL.116
persistent, but low mortality rates. Thus, a large proportion of
the clam population is never detectably infected at any given
time, even though cumulative mortality can be high. In the
present study, spring, summer, and fall sampling over a period of
nearly 3 y enabled an assessment of cumulative mortality during
the entire ‘‘market’’ growing period but perhaps did not enable
detection of an instantaneous peak in mortality, which may have
been evident with a more frequent, monthly sampling scheme.
Field estimation of hard clam mortalities is a challenging
task particularly over a period of 2–3 y or longer. QPX infected
hard clams tend to rise to the sediment surface and may be
washed to net edges and the fragile shells of very small seed
clams that die early in the study may disintegrate by the end of
the study and be lost from mortality counts. The apparent
decline in cumulative mortality between the fall 2001 and spring
2002 samplings in New Jersey may be because of the disinte-
gration of smaller valves during the winter months. Also, hand
raking and digging may less effectively recover small dead clams
relative to coring and sieving even though one would expect
estimates based on the total plot to be more accurate than
estimates based on random core subsamples. Nevertheless, final
sampling mortalities fell into the same rank order as those
obtained by core-sampling the previous fall (Fig. 6).
At both the New Jersey and Virginia sites the most severe
infections were observed in clams from the FL and SC stocks.
Although we did not sample on a frequent basis, we found no
evidence of seasonal pattern in QPX prevalence and intensity
during the 2.5 y of the study. Rather, the prevalence and
intensity pattern in the susceptible clams showed a generally
increasing trend over time. High prevalence and intensity was
not recorded until year two of the study, and the highest mean
intensity was observed on the final sample date in April 2002,
supporting previous studies indicating that the disease typically
affects clams that have been in the field for approximately 12 or
more months (Ford et al. 1997).
The reason for the association of higher QPX susceptibility
with clams of southern origin cannot be determined from the
present study; however, two hypotheses can be proposed. The
first stems from the fact that QPX has never been reported south
of Virginia even though clam aquaculture is extensive along the
southeastern United States coast. The apparent absence of QPX
in this region may be because of its intolerance of high
temperature. In culture, QPX cells grow best at 20°Cto23°C
and suffer 50% mortality at 29°C (Brothers et al. 2000; D.
Bugge
´& B. Allam, SUNY Stony Brook, personal communica-
tion, June 2006). Consequently, southern stocks may never have
been exposed to selective mortality caused by the parasite. In
contrast, northern stocks are likely to have experienced selective
mortality, albeit for an unknown period, that may have
increased resistance in the surviving populations.
A second hypothesis is that stocks of southern origin, which
may be genetically selected for life in a relatively warm
environment, are poorly adapted to the colder temperatures
of the northern climes. Their ability to mount a defense against
invading parasites may be compromised as temperatures
decline. Further, Thraustochytrids inhabit the mantle cavities
of bivalves (Perkins 1973, Porter 1990), and QPX or QPX-like
organisms are present in the pallial fluid of hard clams, as
determined by PCR (Lyons et al. 2005). If activity, including
filtration rate, of southern clams grown in the north declines
faster in the fall and increases more slowly in the spring
TABLE 4.
Percent of examined clams from each site and stock having only
live QPX cells, only dead QPX cells, and both live and dead QPX
cells (sample sizes ranged from 270–360).
Site & Clam
Stock
% Only
Live QPX
% Only
Dead QPX
% Live & Dead
QPX
Virginia
FL 11.5 0 5.2
MA 0.6 1.1 0.6
NJ 0.6 0.3 0.6
SC 3.6 0.6 3.6
VA 1.4 0.3 1.4
New Jersey
FL 4.7 5.8 2.8
MA 0 1.4 0.3
NJ 8.3 0.6 0.6
SC 7.7 0 1.9
VA 4.7 2.3 1.7
TABLE 3.
Final harvest statistics for clams grown in Virginia and New Jersey including: mean and standard deviation of percent mortality, the
total number of live and dead clams removed from plots on the final sample date; mean and standard deviation of percent yield, total
number of live clams sampled during and at the end of the study divided by the initial number planted and multiplied by 100; and mean
and standard deviation of % recovery, the total number of live and dead clams sampled during and at the end of the study divided by the
initial number planted and multiplied by 100. All means based on n¼4 except for Virginia FL which had n¼3.
Site Stock % Mortality SD % Yield SD % Recovery SD
Virginia MA 32.7 7.98 43.2 16.55 61.1 20.6
NJ 20.4 4.52 49.4 14.23 61.1 18.4
VA 35.8 11.27 41.8 4.29 63.4 8.1
SC 51.7 10.04 32.4 5.08 57.6 9.6
FL 77.9 7.33 22.5 4.24 62.2 6.0
New Jersey MA 6.1 4.79 77.5 32.6 84.2 31.1
NJ 4.3 0.73 82.2 12.5 87.4 12.4
VA 19.6 11.68 28.2 19.6 40.0 18.7
SC 39.8 39.79 40.6 6.1 67.9 5.3
FL 52.7 14.14 33.7 6.9 67.6 6.7
INFLUENCE OF HOST GENETICS AND LOCATION ON QPX 117
compared with local stocks, the proliferation and/or accumu-
lation of QPX in the mantle cavity may be favored. It may be
relevant in this respect that no QPX infections were detected in
the fall 2000 samples, but were found at both sites and in most
stocks in the spring of 2001 implying that the parasites had
proliferated to detectable levels at relatively low to moderate
temperatures and that this had happened to the greatest extent
in the southern stocks.
It is not possible, from the available data, to differentiate
between these hypotheses. For instance, the apparent failure
of southern stocks to mount an adequate defense against
QPX could be because of lack of selection for resistance or to
an impaired response at low temperatures. The proposed
mechanisms are not mutually exclusive and both may contrib-
ute to the observed susceptibility differences.
Prior to the emergence of QPX, hard clam aquaculturists
often purchased seed clams from southern hatcheries. The
southern seed was more readily available, less costly, available
earlier in the season allowing earlier planting and a longer
growing season, and/or offered faster growth rates than seed
from more northern hatcheries. In the present study growth
rates of the FL and SC clam stocks did not differ significantly
from the stocks having more northern origins and failed to
support anecdotal evidence suggesting that southern clam
stocks grow faster than northern clam stocks. However,
qualitatively, the southern clams appeared larger than the
northern stocks throughout the study at both sites.
This study clearly demonstrates that the genetic origin of
clam stocks can have profound effects on hard clam suscepti-
bility to QPX disease. As such, hard clam culturist should
consider the geographic origin of clam seed an important
component of their QPX disease avoidance/management strat-
egies. In particular, southern stocks should not be used to
produce seed to be grown in the area where QPX is
enzootic. Our results indicate that two stocks (Massachusetts
and New Jersey) had the best survival in both New Jersey
and Virginia. These could form the basis for a selective
Figure 7. Mean QPX prevalence (%) of hard clams from the Virginia
(top) and New Jersey (bottom) grow-out sites from time of planting,
fall 1999 for Virginia and spring 2000 for New Jersey, through the
termination of the experiment in spring 2002. Means are contrasted for the
5 clam stocks tested: Massachusetts ( MA), New Jersey ( NJ),
Virginia ( VA), South Carolina ( SC), and Florida ( FL).
Error bars represent standard error (n¼3 for Virginia and n¼4 for New
Jersey).
Figure 8. Mean QPX intensity in hard clams from the Virginia (top) and
New Jersey (bottom) grow-out sites from time of planting, fall 1999 for
Virginia and spring 2000 for New Jersey, through the termination of
the experiment in spring 2002. Means are contrasted for the 5 clam
stocks tested: Massachusetts ( MA), New Jersey ( NJ), Virginia
( VA), South Carolina ( SC), and Florida ( FL). Error bars
represent standard deviation (n¼3 for Virginia and n¼4 for New
Jersey).
TABLE 5.
Spearman rank correlation of QPX and clam mortality by
site and date.
Site Date rp
Virginia 7–31–00 0.147 0.5476
5–31–01 0.097 0.6916
8–16–01 0.456 0.0500
11–12–01 0.458 0.0484
4–24–02 0.646 0.0028
New Jersey 5–7–01 0.740 0.0013
8–17–01 0.529 0.0212
11–13–01 0.537 0.0192
4–24–02 0.662 0.0039
RAGONE CALVO ET AL.118
breeding strategy for the development of QPX disease resistant
stocks.
ACKNOWLEDGMENTS
Many individuals contributed to the success of this project.
The authors thank; in Virginia; Rita Crockett for disease
diagnosis, Tom Gallivan and Nate Geyerhahn for oversight
of the field component, the many VIMS staff and students who
assisted with field collections and clam processing, Dr. Standish
Allen and the Aquaculture Genetics and Breeding Center staff
for production of clam seed, cooperating industry members
who supplied brood stock clams, Dr. Mark Camara for
assistance with statistical analyses, and Katherine Davis-Small;
for assistance with administration of the grant. The authors also
thank; in New Jersey; George Mathis for use of his site;
assistance in establishing and maintaining field sites; and for
assisting with collections, Robert Barber for histological pro-
cessing of clams and disease diagnosis, and Beth Mello for
managing field collections and clam processing. This project
was funded by the Saltonstall-Kennedy Program (Grant Num-
ber NA96FD0075). VIMS contribution number 2811.
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INFLUENCE OF HOST GENETICS AND LOCATION ON QPX 119
... In 1992, QPX disease was associated with mortality approaching 80% of marketable stocks in cultured clams of coastal Massachusetts . QPX disease outbreaks have since been reported in wild and cultivated clams in Virginia, Rhode Island, New York, and in additional locations in the Canadian Maritime provinces (Ragone-Calvo et al. 1998, MacCallum and McGladdery 2000, Ford et al. 2002, Dove et al. 2004, Lyons et al. 2007, Ragone-Calvo et al. 2007). The organism responsible for QPX disease has been cultivated (Whyte et al. 1994, Kleinschuster et al. 1998) and shown to cause QPX disease in naïve clams (Dahl and Allam 2007). ...
... One interpretation is that infection probably occurs during the winter (or autumn) and the subsequent seasonal peak in QPX disease results in part from a long period of slow disease progression . High temperature and other factors such as low dissolved oxygen, high clam density, intertidal location and high salinity during the summer months may additionally stress heavily infected clams, leading to mortality (Ford et al. 2002, Lyons et al. 2007, Ragone-Calvo et al. 2007, Perrigault et al. 2012. The decline in QPX disease prevalence from the seasonal peak may reflect mortality of heavily infected clams and/or healing of lightly infected clams , Liu et al. 2016. ...
... The decline in QPX disease prevalence from the seasonal peak may reflect mortality of heavily infected clams and/or healing of lightly infected clams , Liu et al. 2016. Differences in host susceptibility among different clam stocks (Ragone-Calvo et al. 2007, Dahl et al. 2008, 2010, Kraeuter et al. 2011, and potentially in virulence among different strains of QPX (Ragone-Calvo et al. 1998, Qian et al. 2007, Dahl et al. 2008, Perrigault and Allam 2009, may also contribute to differences in disease patterns among locations. ...
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The phylum Labyrinthulomycota comprises diverse marine fungus-like protists that are an abundant and widespread component of the marine microbiota. Despite their ubiquity in marine ecosystems, relatively little is known about the ecology of any of the pathogenic species in the Labyrinthulomycota. Most are thought to exist as saprobes, but many species have been documented as pathogens of marine metazoans and metaphytes. The best studied labyrinthulomycotan pathogen in molluscs is Quahog Parasite Unknown (QPX), which causes mortality events in both wild and cultured hard clams
... Growth Whyte et al. 1994, Smolowitz 2018, Ragone Calvo et al. 1998, Ragone Calvo et al. 2007, Ford et al. 2002 Perkinsus sp., neoplasms Christensen et al. 1974 Blue crab (Callinectes sapidus) ...
... Ford et al. (2002) observed significantly higher QPX presence in clam beds planted at higher densities, but overall disease infection and mortality depended on the seed source; hard clams originating from South Carolina had higher prevalence than seed from New Jersey when grown in New Jersey. The northernmost clam stocks had the highest survival rates and lowest prevalence, suggesting that host genotypes are a determinant of QPX susceptibility in hard clams (Ragone Calvo et al. 2007). ...
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Diseases are important drivers of population and ecosystem dynamics. This review synthesizes the effects of infectious diseases on the population dynamics of nine species of marine organisms in the Chesapeake Bay. Diseases generally caused increases in mortality and decreases in growth and reproduction. Effects of diseases on eastern oyster ( Crassostrea virginica ) appear to be low in the 2000s compared to effects in the 1980s–1990s. However, the effects of disease were not well monitored for most of the diseases in marine organisms of the Chesapeake Bay, and few studies considered effects on growth and reproduction. Climate change and other anthropogenic effects are expected to alter host-pathogen dynamics, with diseases of some species expected to worsen under predicted future conditions (e.g., increased temperature). Additional study of disease prevalence, drivers of disease, and effects on population dynamics could improve fisheries management and forecasting of climate change effects on marine organisms in the Chesapeake Bay.
... Previous investigations demonstrated difference in disease development under different environmental conditions, particularly temperature [6,10,13,14,18]. Overall, QPX was shown to be well adapted to low temperature conditions, causing significantly higher disease levels at temperatures as low as 13°C as compared to 21 or 27°C [12,19]. ...
... > 21°C), the immune response can lead to the neutralization of parasite cells and a complete healing of infected clams [15,28]. More important, prior work showed that clam resistance toward QPX is a genetic trait and depends upon the origin of the brood stock [6,10,11,19,24,29,30]. Although gene expression analyses have been previously performed, no population genetics studies were accomplished to contrast susceptible and resistant populations. ...
Article
Severe losses in aquacultured and wild hard clam (Mercenaria mercenaria) stocks have been previously reported in the northeastern United States due to a protistan parasite called QPX (Quahog Parasite Unknown). Previous work demonstrated that clam resistance to QPX is under genetic control. This study identifies single nucleotide polymorphism (SNP) associated with clam survivorship from two geographically segregated populations, both deployed in an enzootic site. The analysis contrasted samples collected before and after undergoing QPX-related mortalities and relied on a robust draft clam genome assembly. ~200 genes displayed significant variant enrichment at each sampling point in both populations, including 18 genes shared between both populations. Markers from both populations were identified in genes related to apoptosis pathways, protein-protein interaction, receptors, and signaling. This research begins to identify genetic markers associated with clam resistance to QPX disease, leading the way for the development of resistant clam stocks through marker-assisted selection.
... Some breeding work has been conducted with hard clams (Mercenaria mercenaria), but most of this was to develop faster, more uniform growth. There is evidence that some strains of hard clams are better suited for certain environments and have higher resistance to the disease QPX (Quahog Parasite Unknown) (Ragone-Calvo et al., 2007;Kraeuter et al., 2011), but the stocks have not been bred for these characteristics. ...
Chapter
Bivalves, especially reef-forming species (see DeAlteris, 1988, and Figure 1 in Waldbusser et al., 2013), are important habitat formers in many estuaries worldwide (Kirby, 2004; Beck et al., 2009). Bivalve populations (e.g., mus-sels) often have positive synergies with other habitats such as sea grasses (Williams and Heck, 2001; Coen et al., 2011a). Similarly, some oyster species (e.g., Crassostrea gigas), through direct and accidental introductions, are having significant negative impacts on many native species (Europe, Smaal et al., 2005; Nehls and Büttger, 2007; Kochmann et al., 2008). Impacting one habitat can often impact another in various ways. Because of their numerous ecosystem services, they are in many places being enhanced or restored from current often depauperate levels. A major effort in assessing their current status and eventually trends for triaging these recovery efforts (e.g., in the Gulf of Mexico, post-Deepwater Horizon) requires that habitats be mapped in advance and put into a GIS geodatabase (SCDNR, 2008; see http://www.dnr.sc.gov/ GIS/descoysterbed.html). Approaches for their population assessment entails consistent approaches and good designs for monitoring natural and recovering populations. The importance of population connectivity (metapopulations) needs to also be considered for restoration efforts over larger spatial scales (Lipcius et al. 2008, 2009; Schulte et al., 2009). Goals and related success criteria need to be developed whether they are intertidal, shallow, subtidal, or in deeper estuaries and surrounding waters (see http://www.oyster-restoration.org/). Climate change, shoreline erosion (and related fringing habitat loss), changes in native and nonnative (introduced) diseases, competitors, and predator introductions will impact estuaries and the native and cultured bivalves in these systems. Sea level rise, increased hypoxic zones, and other challenges will create habitat winners and losers in estuaries. Oyster reefs are potentially one of the nine important nearshore habitats that will protect coastal communities and infrastructure (Arkema et al., 2013; Grizzle and Coen, 2013). Aquaculture will have an increasing role in bivalve sustainability (Beck et al., 2009; Brumbaugh and Coen, 2009; Dumbauld et al., 2009; NRC, 2010; Shumway, 2011).
... It has also been found in aquaculture populations in Dry Bay, near Tuckerton, and in wild clams in Raritan Bay (Ford et al., 2002). It is known that some aquaculture strains, typically those derived from southern stocks, are more susceptible to this disease than New Jersey or Massachusetts aquaculture stocks (Kraeuter et al., 2011;Ragone-Calvo et al., 2007). While this disease is obviously present in the BB-LEH system, evidence to date suggests that it is not a significant factor in wild clam population dynamics, unless the clams are subject to unfavorable environmental conditions, such as overcrowding, low DO, etc., that increase stress and allow QPX to proliferate. ...
Article
This review examines the historical and current status of hard clam, Mercenaria mercenaria, populations in the Barnegat Bay-Little Egg Harbor (BB-LEH) Estuary using New Jersey State stock assessments and published studies and evaluates their potential for rehabilitation under present environmental conditions. This estuary has experienced increasing urbanization, population growth, bulkheading, and changes in watershed use. Clam populations have decreased markedly since the 1960s, and in LEH, substantial areas are now devoid of clams. Landings of wild-caught hard clams, and commercial and recreational clam licenses have all declined. There is no evidence that eutrophication and hypoxia are directly responsible, and historical fishing pressure has not been adequately documented. Low salinities restrict the distribution of hard clams in northern BB. High-density, microalgal picoplanktonic blooms in summer, characteristic of this ecosystem, can be poor food for hard clams. Brown tides (Aureococcus anophagefferens), which cause concentration-dependent growth inhibition of both larval and juvenile stages and may cause reduced reproductive effort of adults, have recurred in this estuary. Microalgal quality is likely a more critical factor affecting hard clam populations than total biomass. There are ∼67,296 total acres of classified shellfish area in BB-LEH, with 83.8% approved year-round for shellfish growing. Restricted or prohibited harvest areas are generally found along shorelines and creeks, and there have been no recent substantial changes in the percentage of classified waters. With an overall clam abundance of 0.94 clams m⁻² in 2001, densities over a large portion of LEH were then at or below the threshold (∼0.8 clams m⁻²) suggested to be required for the maintenance of a self-sustaining population, pointing to potential recruitment limitation. The 2011 survey suggests a rebound, but there were still large areas devoid of clams (40% of LEH), and 81% of the area was devoid of sublegal clams. The data suggest that an increased mortality rate may be a significant factor in reducing hard clam populations, but the cause(s) remains unknown. The impact of plantings of cultured seed as a stock enhancement strategy has not been quantified. Social connection with the clam resource within these bays, a significant part of the regional ethos, is slowly being lost. A management plan for this species needs to be developed to ensure its sustainability, but it will have to rely on a limited database. Recognized gaps of information and suggested recommendations for future research are also presented.
... Some breeding work has been conducted with hard clams (Mercenaria mercenaria), but most of this was to develop faster, more uniform growth. There is evidence that some strains of hard clams are better suited for certain environments and have higher resistance to the disease QPX (Quahog Parasite Unknown) (Ragone-Calvo et al., 2007;Kraeuter et al., 2011), but the stocks have not been bred for these characteristics. ...
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Background: Quahog Parasite Unknown (QPX) is an opportunistic protistan pathogen of the clam Mercenaria mercenaria. Infections with QPX have caused significant economic losses in the Northeastern United States. Previous research demonstrated a geographic gradient for disease prevalence and intensity, but little information is available on the genetic diversity of the parasite throughout its distribution range. Also, QPX virulence factors are not well understood. This study addresses the occurrence of QPX genetic variants with a particular focus on functions involved in virulence and adaptation to environmental conditions. Results: Analyses were performed using transcriptome-wide single-nucleotide polymorphism (SNP) of four QPX isolates cultured from infected clams collected from disparate locations along the Northeastern United States. For contig assembly and mapping, two different genome builds and four transcriptomes of the parasite were examined. Genomic variants appeared at a differential rate relative to sequenced transcripts at 20.18 and 22.55% occurrence under 1000 base pairs upstream and downstream protein domains respectively and at 57.26% rate in protein domain coding sequences. QPX strains shared 30.50% of the mutations and exhibited a preferential nucleotide substitution towards thymine. Sequence identity suggested relatedness between different QPX strains, with the parasite being possibly introduced to Virginia from the Massachusetts region during clam trading, while QPX could have been naturally present in New York. Diversity in virulence, temperature, and salinity domains suggested a common variability between strains, but with a preferential higher variation in local adaptation genes. This could explain differences in disease prevalence noted in different regions. Overall, the results supported views that this opportunistic parasite might be able to adapt to varying environmental conditions. Conclusion: Relatedness and mutations between the four QPX strains suggested that variability in environmental-related functions favors parasite survival, potentially promoting resilience against stressful conditions. These findings are in agreement with the widespread presence of QPX in the environment. Although QPX levels are enzootic in most areas, an increase in disease outbreaks were often associated with seasonal changes in environmental conditions. A selection mediated by the parasitic life of QPX remains possible, but the effect of the environment on the biology of the parasite appears more obvious.
Chapter
This chapter develops the synchronization control for a class of nonlinear fractional-order systems subjected to input saturation based on the state-feedback control method. Section details the problem formulation. Section presents the synchronization controller based on the saturation function and the state vector. Simulation studies are presented in Section to demonstrate the effectiveness of the developed synchronization control method; some concluding remarks are made in Section .
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Quahog parasite unknown (QPX) is a protistan parasite capable of causing deadly infections in the hard clam Mercenaria mercenaria, one of the most valuable shellfish species in the USA. QPX is an extracellular parasite found mostly in the connective tissue of clam mantle and, in more severe cases of infection, other clam organs. Histopathologic examinations revealed that QPX cells within clam tissues are typically surrounded by hollow areas that have been hypothesized to be, at least in part, a result of extracellular digestion of clam proteins by the para-site. We investigated peptidase activity in QPX extracellular secretions using sodium dodecyl sulfate-polyacrylamide gels containing gelatin as a co-polymerized substrate. Multiple peptidase activity bands of molecular weights ranging from 20 to 100 kDa were detected in QPX secretions derived from a variety of culture media. One major band of approximately 35 kDa was composed of subtilisin-like peptidases that were released by QPX cells in all studied media, suggesting that these are the most common peptidases used by QPX for nutrient acquisition. PCR quantification of mRNA encoding QPX subtilisins revealed that their expression changes with the protein substrate used in the culture media. A fast protein liquid chromatography (FPLC) was used to fractionate QPX extracellular secretions. An FPLC-fraction containing a subtilisin-type serine peptidase was able to digest clam plasma proteins, suggesting that this peptidase might be involved in the disease process, and making it a good candidate for further investigation as a possible virulence factor of the parasite.
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The protozoan oyster parasite Perkinsus marinus causes extensive mortality in eastern oyster (Crassostrea virginica) populations during summer and fall across much of the oyster's distribution. Despite more than 40 yr of research on this particular parasite, no study has unequivocally demonstrated a genetic basis for host resistance to P. marinus nor has it been determined whether or not there are races of Fl marinus that vary in virulence. Using recently developed techniques to culture P. marinus in vitro, we examined the resistance of 4 genetically distinct oyster populations that had different natural histories of exposure to P. marinus and the virulence of 4 geographically distinct isolates of P. marinus. Offspring were produced from each oyster population and reared in a common environment, then exposed to each isolate of P. marinus. Oysters showed levels of resistance roughly corresponding to the duration parental populations had been exposed to P. marinus (Texas > Virginia > New Jersey = Maine), indicating that those populations which have been exposed to P. marinus for more than 40 yr have developed some resistance. Parasites isolated from the Atlantic coast (Mobjack Bay, VA and Delaware Bay, NJ, USA) produced heavier infections than those isolated from the Gulf of Mexico coast (Barataria Bay, LA and South Bay Laguna Madre, TX, USA), indicating that Atlantic isolates were more virulent than Gulf isolates. These data indicate that resistant races of the eastern oyster exist, and imply the existence of virulent parasite races. No statistically significant interaction was detected between oyster populations and parasite isolates. Relative infection intensities among oyster populations remained more or less constant across parasite isolates and vice versa. The lack of a significant interaction between host populations and parasite isolates indicated that mechanisms of resistance and virulence were general, not race-specific.
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A protistan parasite known as QPX (Quahog Parasite Unknown) has been recently associated with disease and mortality of adult hard clams, Mercenaria mercenaria, from Canada to Virginia. There is concern that the organism may be transported in hatchery-reared seed. Tissue sections of 2,203 seed clams (<1-20 mm) from 13 different hatcheries in six states, collected from 1995 to 1997 and examined by pathologists in three laboratories, failed to show QPX or QPX-like organisms. Further, QPX was not detected in a total of 756 hatchery-produced clams examined during their first year of field growout. From this, we conclude that hatchery-produced seed clams are an unlikely source of QPX organisms.
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The taxonomic status of Quahog Parasite Unknown (QPX), a protist causing disease and high mortality in hardclams (Mercenaria mercenaria) from Canada to Virginia, has not been firmly established. The comparison of QPX 18s rDNA sequences with small-subunit rRNA (SSU RNA) sequences available in the public domain places this organism firmly in the phylum Labyrinthulomycota. With the limited SSU data currently available for the order Labyrinthuiida, placement within the family Thraustochytriidae is somewhat more tenuous. Morphological examination also suggests placement in the Labyrinthulomycota. The absence of sagenogenetosomes and ectoplasmic nets suggests that QPX is a more primitive member of the phylum. The placement of QPX SSU sequence basal to all available Labyrinthulomycota SSU sequences other than that of Labyrinthuloides minuta tends to support this assessment.
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A pathological condition occurring in the lesser octopus, Eledone cirrhosa, is described. This results in progressive ulceration of the skin of the animal, followed by oedema of body tissues and death. Light and electron microscope studies of the skin ulcers reveal the constant presence of thraustochytrid-like organism(s) and often, although not in all instances, the presence of a presumed labyrinthulid. Studies are currently in progress to identify both these organisms and to establish the role that they play in the condition described.
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Offspring from half-sib and full-sib families of the hard clam, Mercenaria mercenaria were reared in five locations along the Atlantic Coast to test for the presence of genotype-environment interaction for juvenile growth rate. Location effects upon growth rate variation were prevalent; of the genetic effects, the additive genetic by location variance was predominant with the nonadditive genetic by location component contributing to a lesser degree to the interaction variance. The additive and nonadditive variation over all environments was negligible. Genotype-environment interaction was found to be at least partially due to a change in the amount of genetic variation expressed at each location; with significant additive variation detected at Charleston and Georgetown, SC sites and significant nonadditive variation at Millsboro, DE. Genetic covariance/correlation analysis indicated that reversals in relative family performance across locations were prevalent, implying the possibility of habitat specialization among genotypes. In addition, graphical analysis produced no evidence of a ubiquitously superior genotype. These analyses suggest that genotype-environment interaction should act to constrain the evolution of juvenile growth rate in Mercenaria, preserve any heritable variation associated with this trait and may lead to the development of phenotypic plasticity for growth.
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The ultrastructure of the pathogen producing yellow-spot disease in the dendronotacean nudibranch Tritonia diomedea is described. A lamellar wall of thin scales, the morphology of the Golgi body, the presence of a putative bothrosome, and production of zoospores with mastigonemes indicate that the parasite is in the Thraustochytriaceae, a family of marine protists often included in the lower fungi. Host amoebocytes became greatly flattened and formed a lamellated wall around the parasitic cells, which finally were enclosed in a dense, thick-walled, acellular capsule where they were generally seen to be necrotic. The extensive encapsulation and necrosis suggested that the gastropod may be an unnatural host.
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The evolutionary history of hard clams has clearly been complex and many aspects remain unclear. The population genetics of hard clams in many ways is unremarkable. These species are wide spread and exhibit relatively little inter-specific divergence, as might be expected in a species that has a high dispersal larval stage. On the other hand, hard clams also exhibit patterns of divergence that indicate that their evolutionary history includes episodes of hybridization that has led to differential patterns of selection and introgression between taxa.