Lipophilic Toxins in WA - Clear and present danger: monitoring and management of lipophilic shellfish toxins in Washington State

Lipophilic shellfish toxins comprise an extensive suite of compounds including those associated with the human syndromes known as diarrhetic shellfish poisoning (DSP) and azaspiracid shellfish poisoning (AZP). As a result of recent bloom events and subsequent human intoxications in Washington State (USA) due to DSP, there is a critical and urgent need for State public health officials to be able to monitor and accurately quantify harmful algal bloom (HAB) species associated with DSP and azaspiracid shellfish poisoning (AZP) and their toxins. There is now evidence that lipophilic toxins associated with DSP and AZP are present in water and/or shellfish, including oysters and mussels from Puget Sound and razor clams from the WA coast.Tight partnership with WDOH, the SoundToxins program, Olympic Region Harmful Algal Blooms (ORHAB) partnership, and Puget Sound shellfish growers (including the Jamestown S’Klallam tribe and other tribal representatives) will facilitate the study of the seasonal variability of lipophilic toxins and toxin-producing species at 10 geographically-distinct sites within Washington State waters where seawater or shellfish have recently been contaminated with these toxins. Stakeholder support throughout the project will ensure the transition of this project to the State at the end of 3 years as we have successfully demonstrated with ORHAB. Implementing routine lipophilic biotoxin monitoring will be a critical first step towards ensuring public safety while also enabling Washington State shellfish growers to sell their product to the European Union once trade is re-established.

Contains information regarding toxin producing species and toxin measurements in shellfish and seawater samples. Also includes associated environmental data.

Subject to Public Access to Research Results (PARR): Yes

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These data were collected and processed in accordance with established protocols and best practices under the direction of the project’s Principal Investigator. Contact the dataset Data Manager for full QA/QC methodology.

No Delay

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