This report presents results from Pambula River, one of the estuaries selected as part of Stage 1 of the NSW Oyster Industry Transformation Project 2017-2021. To predict the impact of rainfall on potentially pathogenic bacteria, Harmful Algal Blooms (HABs) and oyster disease, precise environmental data with a high temporal frequency were collected and modelled. Combined with state-of-the-art molecular genetic methods, this information will help to improve efficiency and transparency in food safety regulation, provide predictive information and provide insights for more informed and responsive management of shellfish aquaculture.
The project team installed a real-time sensor in the Pambula River harvest area, recording high-resolution temperature, salinity and depth data. Oyster farmers collected weekly biological samples (690 environmental DNA samples and 306 deployed/retrieved oysters for growth assessment) from the sensor site. The team developed a rapid molecular qPCR (quantitative polymerase chain reaction) assay for E. coli, which could directly compare to the currently used plate count by commercial laboratories. They also developed specific qPCR assays that could determine which animals were contributing to the E. coli load in the river system. The team used these assays to observe trends in faecal pollution and modelled these in relation to environmental variables (salinity, temperature, rainfall etc.), to develop predictive models. Finally, they developed an additional model to link oyster growth with environmental variables and assessed its predictive capability.