An On-Farm Workflow for Predictive Management of Paralytic Shellfish Toxin-Producing Harmful Algal Blooms for the Aquaculture Industry.
Ruvindy, R
Ajani, PA
Ashlin, S
Hallegraeff, G
Klemm, K
Bolch, CJ
Ugalde, S
Van Asten, M
Woodcock, S
Tesoriero, M
Murray, SA
- Publisher:
- AMER CHEMICAL SOC
- Publication Type:
- Journal Article
- Citation:
- Environ Sci Technol, 2024, 58, (16), pp. 6924-6933
- Issue Date:
- 2024-04-23
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An On-Farm Workflow for Predictive Management of Paralytic Shellfish Toxin-Producing Harmful Algal Blooms for the Aquaculture Industry.pdf | Accepted version | 673.96 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Ruvindy, R | |
dc.contributor.author | Ajani, PA | |
dc.contributor.author | Ashlin, S | |
dc.contributor.author | Hallegraeff, G | |
dc.contributor.author | Klemm, K | |
dc.contributor.author | Bolch, CJ | |
dc.contributor.author | Ugalde, S | |
dc.contributor.author | Van Asten, M | |
dc.contributor.author |
Woodcock, S https://orcid.org/0000-0003-4903-3164 |
|
dc.contributor.author | Tesoriero, M | |
dc.contributor.author | Murray, SA | |
dc.date.accessioned | 2024-09-09T04:11:30Z | |
dc.date.available | 2024-09-09T04:11:30Z | |
dc.date.issued | 2024-04-23 | |
dc.identifier.citation | Environ Sci Technol, 2024, 58, (16), pp. 6924-6933 | |
dc.identifier.issn | 0013-936X | |
dc.identifier.issn | 1520-5851 | |
dc.identifier.uri | http://hdl.handle.net/10453/180756 | |
dc.description.abstract | Paralytic shellfish toxins (PSTs) produced by marine dinoflagellates significantly impact shellfish industries worldwide. Early detection on-farm and with minimal training would allow additional time for management decisions to minimize economic losses. Here, we describe and test a standardized workflow based on the detection of sxtA4, an initial gene in the biosynthesis of PSTs. The workflow is simple and inexpensive and does not require a specialized laboratory. It consists of (1) water collection and filtration using a custom gravity sampler, (2) buffer selection for sample preservation and cell lysis for DNA, and (3) an assay based on a region of sxtA, DinoDtec lyophilized quantitative polymerase chain reaction (qPCR) assay. Water samples spiked with Alexandrium catenella showed a cell recovery of >90% when compared to light microscopy counts. The performance of the lysis method (90.3% efficient), Longmire's buffer, and the DinoDtec qPCR assay (tested across a range of Alexandrium species (90.7-106.9% efficiency; r2 > 0.99)) was found to be specific, sensitive, and efficient. We tested the application of this workflow weekly from May 2016 to 30th October 2017 to compare the relationship between sxtA4 copies L-1 in seawater and PSTs in mussel tissue (Mytilus galloprovincialis) on-farm and spatially (across multiple sites), effectively demonstrating an ∼2 week early warning of two A. catenella HABs (r = 0.95). Our tool provides an early, accurate, and efficient method for the identification of PST risk in shellfish aquaculture. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | AMER CHEMICAL SOC | |
dc.relation | Food Agility CRC LimitedFA076 | |
dc.relation | http://purl.org/au-research/grants/arc/FT120100704 | |
dc.relation | http://purl.org/au-research/grants/arc/DP120103199 | |
dc.relation.ispartof | Environ Sci Technol | |
dc.relation.isbasedon | 10.1021/acs.est.3c10502 | |
dc.rights | info:eu-repo/semantics/embargoedAccess | |
dc.rights | This document is the Accepted Manuscript version of a Published Work that appeared in final form in Environ Sci Technol, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://pubs.acs.org/doi/10.1021/acs.est.3c10502 | |
dc.subject.classification | Environmental Sciences | |
dc.subject.mesh | Aquaculture | |
dc.subject.mesh | Harmful Algal Bloom | |
dc.subject.mesh | Dinoflagellida | |
dc.subject.mesh | Marine Toxins | |
dc.subject.mesh | Workflow | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Shellfish | |
dc.subject.mesh | Farms | |
dc.subject.mesh | Shellfish Poisoning | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Dinoflagellida | |
dc.subject.mesh | Marine Toxins | |
dc.subject.mesh | Aquaculture | |
dc.subject.mesh | Shellfish | |
dc.subject.mesh | Shellfish Poisoning | |
dc.subject.mesh | Harmful Algal Bloom | |
dc.subject.mesh | Workflow | |
dc.subject.mesh | Farms | |
dc.subject.mesh | Aquaculture | |
dc.subject.mesh | Harmful Algal Bloom | |
dc.subject.mesh | Dinoflagellida | |
dc.subject.mesh | Marine Toxins | |
dc.subject.mesh | Workflow | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Shellfish | |
dc.subject.mesh | Farms | |
dc.subject.mesh | Shellfish Poisoning | |
dc.title | An On-Farm Workflow for Predictive Management of Paralytic Shellfish Toxin-Producing Harmful Algal Blooms for the Aquaculture Industry. | |
dc.type | Journal Article | |
utslib.citation.volume | 58 | |
utslib.location.activity | United States | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Science | |
pubs.organisational-group | University of Technology Sydney/Faculty of Science/School of Life Sciences | |
pubs.organisational-group | University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences | |
utslib.copyright.status | embargoed | * |
utslib.copyright.embargo | 2025-04-12T00:00:00+1000Z | |
dc.date.updated | 2024-09-09T04:11:28Z | |
pubs.issue | 16 | |
pubs.publication-status | Published | |
pubs.volume | 58 | |
utslib.citation.issue | 16 |
Abstract:
Paralytic shellfish toxins (PSTs) produced by marine dinoflagellates significantly impact shellfish industries worldwide. Early detection on-farm and with minimal training would allow additional time for management decisions to minimize economic losses. Here, we describe and test a standardized workflow based on the detection of sxtA4, an initial gene in the biosynthesis of PSTs. The workflow is simple and inexpensive and does not require a specialized laboratory. It consists of (1) water collection and filtration using a custom gravity sampler, (2) buffer selection for sample preservation and cell lysis for DNA, and (3) an assay based on a region of sxtA, DinoDtec lyophilized quantitative polymerase chain reaction (qPCR) assay. Water samples spiked with Alexandrium catenella showed a cell recovery of >90% when compared to light microscopy counts. The performance of the lysis method (90.3% efficient), Longmire's buffer, and the DinoDtec qPCR assay (tested across a range of Alexandrium species (90.7-106.9% efficiency; r2 > 0.99)) was found to be specific, sensitive, and efficient. We tested the application of this workflow weekly from May 2016 to 30th October 2017 to compare the relationship between sxtA4 copies L-1 in seawater and PSTs in mussel tissue (Mytilus galloprovincialis) on-farm and spatially (across multiple sites), effectively demonstrating an ∼2 week early warning of two A. catenella HABs (r = 0.95). Our tool provides an early, accurate, and efficient method for the identification of PST risk in shellfish aquaculture.
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