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Advanced surveillance for oyster diseases
Marty Deveney, Jessica Buss, Kathryn Wiltshire AAHL Fish Diseases Laboratory Kevin Ellard DPIPWE 16 August 2019
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Marine molecular surveillance
Filtration Extraction control Sample control Preserve buffer Collection-Plankton Tows Marine molecular surveillance Inhibition control Interpretation DNA Extraction Plankton samples are spiked with the positive control, filtered on board the sampling vessel or in the laboratory, DNA is extracted from the sample, tested by qPCR and this provides results on presence or absence of the target organism in the sample. These results need to be interpreted in a biologically meaningful context, bearing in mind the pest status of the test site, seasonality, sampling sensitivity, water currents and other environmental factors. qPCR -target(s) -3 controls Results
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OsHV-1 environmental surveillance
Hobart Port / Derwent River samples January 2016 Tested after February 2016 OsHV-1 outbreak 3 confirmed positives from 30 samples Assess utility of environmental surveillance
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Adelaide ‘control’ from 2016 to the end of 2017
But then . . . One indeterminate (1/2 tests positive) re-tested negative (0/4) 600+ oyster samples tests negative
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2018 – POMS in Port Adelaide February 2018 OsHV-1 microvariant outbreak Growing areas free Port River oyster tissue surveillance Feb 18-Jan 19 Sample Date Detections Samples Apparent prevalence 21-Feb-18 16 25 64.0% 02-Mar-18 143 208 68.8% 24-Apr-18 32 50.0% 28-May-18 17 53.1% 26-Jun-18 12 31 38.7% 14-Aug-18 37.5% 12-Sep-18 11 37 29.7% 23-Oct-18 6 46 13.0% 26-Nov-18 13 33 39.4% 20-Dec-18 23 71.9% 22-Jan-19 7 36 19.4% Bayesian LCM both tests ‘or’ rule DSe 0.9 (95%CI 0.81 – 0.94) DSp 0.94 (95%CI 0.86 – 1.00)
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Plankton surveillance Nov 17-Jan 19
Population Season Negative Martenot only Jenkins only Both positive Apparent occurrence SA - wild Summer 65 2 1 5.8% Autumn 38 3 15.6% Winter 15 0.0% Spring 52 7.1% Tas - farm 39 16 5 35.0% 14 9 44.0% 20 4.8% 33 4 15.4% Tas - wild 36 7 23.4% 25 8 32.4% 3.8% 27 Detections when transmission is occurring Bayesian LCM both tests ‘or’ rule DSe 0.83 (95%CI 0.57 – 0.95) DSp 0.91 (95%CI 0.86 – 0.96)
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Samples to detect 7% prevalence
Target SSE Test applied Number of samples Mean (95% CI) 0.8 Jenkins 98 (187 – 60) Martenot 28 (42 – 24) Both tests 27 (38 – 23) 0.95 182 (348 – 111) 52 (78 – 44) 49 (71 – 43) Basis of an area surveillance method using eDNA Need to understand analytical sensitivity better
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Flow cytometry test for OsHV-1
James Paterson, Sarah Giles, Jim Mitchell – Flinders University Designed around Merck Muse
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Flow cytometry test for OsHV-1
Adapted for OsHV-1 Optimised for detection Validating
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Field PCR for OsHV-1 Biomeme Franklin No technical background needed
Sarah Catalano, Kathryn Wiltshire, Jessica Buss, Marty Deveney Biomeme Franklin No technical background needed Results in <2h
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Field PCR for OsHV-1 Duplexed OIE/EMAI tests Chemistry works
Validating against samples tested with lab qPCR
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Conclusions eDNA is a viable method for surveillance for OsHV-1
area surveillance assessing viral load assessing risk posed by shipping at ports Flow cytometry method: counts in water (experienced operators) Field PCR provides analytical capacity for anyone
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Thanks Future Oysters CRC-P, DIIS, FRDC, DAWR
Sarah Culloty, Sharon Lynch (University College Cork, Ireland) DAWR / The National System / NIMPIS, Ingo Ernst, Peter Stoutjestijk, James Forwood, Susie Kropman et al. NBC, SA, Qld, NT, NSW, TAS Governments, NBC MISA, Staff at SARDI Aquatic Sciences (Marine Ecosystems) and SARDI Crop Science (Molecular Diagnostics) Biosecurity SA, Flinders Ports, AMLR and KI NRM Boards MolTools, ICMB X organisers US DoA CoastalSEES, EU ICON programs MPI NZ, Brian Jones, Jeannine Fischer, Jen Brunton, Richard Fraser, Anjali Pande Cawthron Institute, Susie Wood CSIRO Mark Crane Joshua Mackie AMSA, AMSA ABC Four Corners
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Risk OsHV-1 prevalence in biofouling Pacific Oysters 8-25%
Pacific Oysters common in biofouling communities
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When biosecurity works nothing happens
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