Vibrio parahaemolyticus: Incidence, Growth and Survival in Chesapeake Bay Oysters Salina Parveen,...
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Transcript of Vibrio parahaemolyticus: Incidence, Growth and Survival in Chesapeake Bay Oysters Salina Parveen,...
Vibrio parahaemolyticus: Incidence, Growth and Survival in
Chesapeake Bay Oysters
Salina Parveen, Ph.D.Food Science and Technology Program
Department of Agriculture, Food and Resource Sciences
University of Maryland Eastern ShorePrincess Anne, Maryland
Introduction
Vibrio parahaemolyticus (Vp) is a Gram-negative halophillic rod
Grow on or in ordinary media containing 1-8% NaCl
Highly motile in liquid media with polar flagellum
Grow well from 25 to 44°C
(Oliver and Kaper 2001)
Introduction
Optimum temperature for growth is 37°C
Can not proliferate below 10°C
Occurs naturally in marine, coastal and estuarine environments
Isolated from seawaters, sediments and seafoods
(Oliver and Kaper 2001)
A significant cause of bacterial seafood-borne illness
U.S. CDC estimates ~7,880 Vibrio illnesses/year
~2,800 are estimated to be associated with Vp and raw oyster consumption
Common symptom-gastroenteritis with occasional bloody diarrhea
Primary septicemia- individuals with underlying chronic illness(US FDA 2005)
Introduction
Introduction
Pathogenic and non-pathogenic strains
Pathogenic strains of Vp produce a thermostable direct hemolysin (TDH) and thermostable related hemolysin (TRH)
95% of clinical strains produce TDH and TDH was also detected in 47% of oysters
A number of significant Vp illness outbreaks have been reported in the U.S.
Recently, two cases of Vp infections have been reported from Chesapeake Bay oysters
(CDC 1999; Blackstone et al. 2003; Food safety network 2006; Anon. 2008)
Introduction
Several investigators reported the incidence of Vp in the Gulf and Pacific coasts
Seasonal cycle of Vp in sediment and water in the U.S. was first reported by Kaneko and Colwell
Reported that densities of total and pathogenic Vp in shellfish at harvest were directly related to harvest water temperature
No information is available about the incidence of total and pathogenic Vp in Chesapeake Bay oysters
(Kaneko and Colwell, 1973, 1975; Kaysner et al. 1990; DePaola et al. 2003)
Introduction
Recently, Food and Drug Administration (FDA) has published risk assessments for Vp in raw oysters
Identified data gaps that increase the uncertainty of risk assessments
Lack of predictive models for the growth and survival of total and pathogenic Vp in oysters
(Miles et al. 1997; US FDA 2005)
Introduction
Risk assessments have had to make very board extrapolations from bacteriological broth-studies
Effects of temperature and time on the growth and survival of Vp in post-harvest oysters
A single harvest region, limited seasons and to one specific storage temperature
Harvest region, season and the harvest water conditions influence subsequent Vp growth and survival during storage
(Gooch et al. 2002)
Objectives
To determine the incidence of total and pathogenic Vp in oysters and waters in the Chesapeake Bay
To examine the correlation of Vp levels in oysters and waters with environmental parameters
To develop predictive models for the growth and survival of total and pathogenic Vp in oysters as a function of temperature
Objectives
To validate the models with model-independent data, considering season of harvest, geographical harvest area, harvest water salinity and temperature well as Asian oysters
To compare the growth and survival of total and pathogenic Vp in American and Asian oysters
Methodology
Collection of Samples
Oysters (American oyster, Crassostrea virginica) were collected from the Chesapeake Bay, MD and Gulf Coast, AL
Asian Oysters (C. ariakensis) were collected from the Chesapeake Bay, VA
Water temperature, salinity, pH and conductivity were measured, with a model 85 dissolved oxygen conductivity meter
(Cook et al. 2002)
Methodology
Gulf of Mexico
Mississippi Sound
MobileBay
Sampling Sites Cedar Point
Chesapeake Bay
Sampling Sites
Methodology
Chlorophyll content was measured by using YSI chlorophyll sensor
Fecal coliforms by standard methods
Water samples were collected in sterile 1-liter wide mouth containers After harvest, the oysters were shipped to the laboratory
All microbiological analyses were initiated within 24 hours of sample collection
(Cook et al. 2002)
Methodology
Incidence Study
Two separate set of samples of 12 oysters each were analyzed
Growth and Survival Study
Oysters were stored at 5, 10, 15, 20, 25 and 30°C
At selected time intervals, two separate set of
samples of 6 oysters each were analyzed
Methodology Preparation of Samples
12 or 6 oysters (scrubbed, shucked) Added phosphate buffered saline (PBS) and
blended for 90s Serial 10-fold dilutions were prepared in PBS
(DePaola and Kaysner 2004)
Methodology Bacteriological Analysis-A Direct Plating-Colony
Hybridization Original homogenate and 10-fold serial dilutions
spread plated on T1N3
Incubated 16-18 hr at 35C
colony lifts
Hybridization (tlh & tdh), colorimetric detection and
enumeration
(DePaola and Kaysner 2004)
Colonies of Vp
Multiplex Real Time PCR (q-PCR)
Three tubes Most Probable Number (MPN) Method
Enrich oyster homogenate in APW (Alkaline peptone water)
Boil for 10 min.
Analyze by q-PCR (tdh and trh genes)
(Nordstrom et al. 2007)
Methodology
Primary and Secondary Model Development
log10 values and mean and standard deviation were plotted
with Excel spread sheet software
The dynamic model described by Baranyi and Roberts (1994) was used to fit curves to the experimental data and to estimate values for the primary parameters-using DMFit curve-fitting software
lag phase duration (LPD [h]) growth/inactivation rate (GR [log CFU/h]) Maximum population density (MPD [log CFU/g])
Methodology Secondary model was produced using Table Curve 2D
(SPSS Inc., Chicago, IL) with built-in and customized equations
The Ratkowsky square root model was used to model GR
Model performance was measured by bias (Bf) and accuracy (Af) factors
Statistical analysis-Regression analysis
(Baranyi et al. 1999)
Results and Discussion
Incidence of total Vp in oysters at three sites in Chesapeake BayBC:Broad Creek; Chester River:CR; Eastern River (ER)
(Parveen et al. 2008)
0
100
200
300
400
500
600
700
Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct
Month
To
tal V
p (
CF
U/g
)
0
5
10
15
20
25
30
35
Wa
ter
tem
pe
ratu
re (°
C)
BC CR EB Water Temperature
Detection of Vp in oyster and water samples by Direct-plating and real-
time PCR (q-PCR)(June to October)
Gene % of positive
oyster samples
% of positive
water samples
Direct plating q-PCR Direct plating
q-PCR
tlh
(n=15)
100 100 0 100
trh
(n=15)
Not Done 40.0 Not done 40.0
tdh
(n=15)
3% 20.2 0 13.3
Results and Discussion
0
0.5
1
1.5
2
2.5
0 100 200 300
Time (h)
log
CF
U/g
0
1
2
3
4
5
6
0 200 400
Time (h)
log
CF
U/g
The inactivation/growth profile of total Vp in shell stock oysters at 5, 15 and 30°C with primary curve fitting (Chesapeake Bay, 2005)
0
1
2
3
4
5
6
0 50 100
Time (h)
log
CF
U/g
5°C 15°C 30°C
Results and Discussion
Primary growth/inactivation parameters for the temperature ranged from 5-30°C. GR- Growth/inactivation rate; LPD- Lag phase duration; MPD-Maximum population density; ND-Not detected; CNBD-Could not
be determined
Storage GR LPD MPDTemperature (log CFU/h) (h) (CFU/g) (°C) 2005 2006 2005 2006 2005 2006
51015202530
-0.002 -0.001 0.054 0.107 0.280 0.264
-0.001-0.002 0.022 0.058 0.177 0.175
NDNDNDND10.664.07
NDNDNDNDNDND
CNBDCNBD 4.55 5.05 6.03 5.40
CNBDCNBD 4.40 6.50 6.69 5.52
Results and Discussion
Predicted and observed growth rate (GR) of total Vp in shell stock oystersCB-Chesapeake Bay
Results and Discussion
Bf=exp
Af=exp
Model Performance-Bias (Bf) and Accuracy (Af) Factors
Bf=1.00Af=1.03
Where m is number of observations, p is predicted, o is observed and μ is growth rate
m
k
op
m
kk
1
)()(
m
m
k
opkk
1
2)()(
Results and Discussion
Predicted and observed growth rate (GR) of total Vp in shell stock oystersCB-Chesapeake Bay; GC-Gulf Coast
Results and Discussion
Validation of Models
Oysters Bf Af
CB-American oysters
CB-Asian oysters
GC-American oysters
Combined
1.02
1.02
1.03
1.02
1.04
1.05
1.06
1.05
Results and Discussion
P>0.05
Effects of harvest temperature and salinity on growth rate
Results and Discussion
P>0.05
P> 0.05Effects of harvest regions/seasons on growth rate
P> 0.05
Results and Discussion
Comparison of growth and survival of total and pathogenic Vp in American oysters
Results and Discussion
Comparison of growth and survival of total and pathogenic Vp in
Asian oysters
Results and Discussion
Comparison of growth and survival of total and pathogenic Vp in
American and Asian oysters
Conclusions
Total Vp was detected in 79% of the samples using direct plating-colony hybridization method at densities ranging from 1.5x101 to 6.0x102 cfu/g
Levels of total Vp at all sites followed a seasonal trend with higher levels in the warmer months
Real time PCR was able to detect significant number of pathogenic Vp in water samples
Conclusions
Total Vp was slowly inactivated at 5°C and 10°C
Maximum GR was observed at 25°C
MPD displayed a peak form at 25°C
No significant LPD was observed The bias (Bf) and accuracy (Af) factors were 1.00
and 1.03, respectively
Conclusions
The Bf and Af factors for the growth rates determined in Gulf Coast oysters during the summer, fall and spring were 1.02 and 1.04; 1.02 and 1.04 and 1.03 and 1.07, respectively
The Bf and Af factors for the growth rates in Asian oysters were 1.02 and 1.05, respectively
These results suggest that the model developed for the growth and survival of total Vp in Chesapeake Bay oysters are valid for, and predictive of, growth occurring in oysters harvested from Gulf Coast over multiple seasons as well as in Asian oysters
Harvest region/season, temperature and salinity had no effects on GR
Conclusions GR of pathogenic Vp were higher than those observed
for total Vp in American and Asian oysters at 10,15, 20, 25, & 30°C
These results also indicate that total and pathogenic Vp multiplied more rapidly in American oysters than Asian oysters
The results of this study will assist risk managers and the seafood industry in designing more effective food safety systems
Further confirmation and mechanism of pathogenic Vp GR require additional study as this may substantially affect risk predictions and impact of controls
Current Studies
Development of predictive models for the growth and survival of pathogenic Vp in oysters
Development of predictive models for the growth and survival of V. vulnificus (Vv) in oysters
Investigation of the effects of storage condition on sensory and textural characteristics of oysters
Future Studies
Secondary models will be incorporated into spreadsheet format and into the USDA Pathogen Modeling Program
(PMP; www.arserrc.gov/mfs/pathogen.htm)
Raw data sets will be archived in ComBase (http://wyndmoor.arserrc.gov/combase/), an international database of predictive microbiology information
Acknowledgements
UMES
Ligia DaSilvaChanelle White
Apsara Hettiarachchi
Meshack Mudoh Jurgen Schwarz Tom Rippen Geoff Rutto
FDA MDE VIMSAngelo DePaola Kathy BrohawnAngelo DePaola Kathy Brohawn S. S. Allen Allen John Bowers John Bowers Bill Beatty Bill BeattyJessica Jones Jessica Jones John McKay John McKay Jeff KrantzJeff Krantz and and
othersothers
Univ. of Tasmania, AustraliaUniv. of Tasmania, AustraliaMark TamplinMark Tamplin
The Maryland Watermen’s Association,The Maryland Watermen’s Association, Inc.Inc.United States Department of Agriculture National Research Initiative grant # 2006-35201-16644
QUESTIONS