Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data
The decline in wild-caught fisheries paired with increasing global seafood demand is pushing the need for seafood sustainability to the forefront of national and regional priorities. Validation of species identity is a crucial early step, yet conventional monitoring and surveillance tools are limite...
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Format: | Article |
Language: | English |
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MDPI AG
2021-06-01
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Series: | Foods |
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Online Access: | https://www.mdpi.com/2304-8158/10/6/1425 |
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author | Demian A. Willette Gabriela Navarrete-Forero Zachary Gold Apollo Marco D. Lizano Leonardo Gonzalez-Smith Giovanna Sotil |
author_facet | Demian A. Willette Gabriela Navarrete-Forero Zachary Gold Apollo Marco D. Lizano Leonardo Gonzalez-Smith Giovanna Sotil |
author_sort | Demian A. Willette |
collection | DOAJ |
description | The decline in wild-caught fisheries paired with increasing global seafood demand is pushing the need for seafood sustainability to the forefront of national and regional priorities. Validation of species identity is a crucial early step, yet conventional monitoring and surveillance tools are limited in their effectiveness because they are extremely time-consuming and require expertise in fish identification. DNA barcoding methods are a versatile tool for the genetic monitoring of wildlife products; however, they are also limited by requiring individual tissue samples from target specimens which may not always be possible given the speed and scale of seafood operations. To circumvent the need to individually sample organisms, we pilot an approach that uses forensic environmental DNA (eDNA) metabarcoding to profile fish species composition from the meltwater in fish holds on industrial and artisanal fishing vessels in Ecuador. Fish identified genetically as present were compared to target species reported by each vessel’s crew. Additionally, we contrasted the geographic range of identified species against the satellite-based fishing route data of industrial vessels to determine if identified species could be reasonably expected in the catch. |
first_indexed | 2024-03-10T10:14:53Z |
format | Article |
id | doaj.art-9dcb6687d2744e56974d9c524e90baf5 |
institution | Directory Open Access Journal |
issn | 2304-8158 |
language | English |
last_indexed | 2024-03-10T10:14:53Z |
publishDate | 2021-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Foods |
spelling | doaj.art-9dcb6687d2744e56974d9c524e90baf52023-11-22T00:53:31ZengMDPI AGFoods2304-81582021-06-01106142510.3390/foods10061425Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking DataDemian A. Willette0Gabriela Navarrete-Forero1Zachary Gold2Apollo Marco D. Lizano3Leonardo Gonzalez-Smith4Giovanna Sotil5Biology Department, Loyola Marymount University, Los Angeles, CA 90045-2659, USACentro del Agua y Desarrollo Sustentable, Escuela Superior Politécnica del Litoral, 090902 Guayaquil, EcuadorDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USAFaculty of Bioscience & Aquaculture, Nord University, 8026 Bodø, NorwayBiology Department, Loyola Marymount University, Los Angeles, CA 90045-2659, USALaboratorio de Genética Molecular, Instituto del Mar del Perú-IMARPE, Callao 01, Lima, PeruThe decline in wild-caught fisheries paired with increasing global seafood demand is pushing the need for seafood sustainability to the forefront of national and regional priorities. Validation of species identity is a crucial early step, yet conventional monitoring and surveillance tools are limited in their effectiveness because they are extremely time-consuming and require expertise in fish identification. DNA barcoding methods are a versatile tool for the genetic monitoring of wildlife products; however, they are also limited by requiring individual tissue samples from target specimens which may not always be possible given the speed and scale of seafood operations. To circumvent the need to individually sample organisms, we pilot an approach that uses forensic environmental DNA (eDNA) metabarcoding to profile fish species composition from the meltwater in fish holds on industrial and artisanal fishing vessels in Ecuador. Fish identified genetically as present were compared to target species reported by each vessel’s crew. Additionally, we contrasted the geographic range of identified species against the satellite-based fishing route data of industrial vessels to determine if identified species could be reasonably expected in the catch.https://www.mdpi.com/2304-8158/10/6/1425environmental samplescommercial fishingseafoodspecies identificationmetabarcodingtraceability |
spellingShingle | Demian A. Willette Gabriela Navarrete-Forero Zachary Gold Apollo Marco D. Lizano Leonardo Gonzalez-Smith Giovanna Sotil Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data Foods environmental samples commercial fishing seafood species identification metabarcoding traceability |
title | Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data |
title_full | Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data |
title_fullStr | Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data |
title_full_unstemmed | Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data |
title_short | Characterizing Industrial and Artisanal Fishing Vessel Catch Composition Using Environmental DNA and Satellite-Based Tracking Data |
title_sort | characterizing industrial and artisanal fishing vessel catch composition using environmental dna and satellite based tracking data |
topic | environmental samples commercial fishing seafood species identification metabarcoding traceability |
url | https://www.mdpi.com/2304-8158/10/6/1425 |
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