Characterizing industrial and artisanal fishing vessel catch composition using environmental dna and satellite-based tracking data

Demian A. Willette; Gabriela Navarrete-Forero; Zachary Gold; Apollo Marco D. Lizano; Leonardo Gonzalez-Smith; Giovanna Sotil

doi:10.3390/foods10061425

Characterizing industrial and artisanal fishing vessel catch composition using environmental dna and satellite-based tracking data

Demian A. Willette, Gabriela Navarrete-Forero, Zachary Gold, Apollo Marco D. Lizano, Leonardo Gonzalez-Smith, Giovanna Sotil

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Article number	1425
Journal	Foods
Volume	10
Issue number	6
DOIs	https://doi.org/10.3390/foods10061425
State	Published - Jun 2021

Bibliographical note

Funding Information:
Funding: This research was funded in part by a U.S. Fulbright Global Scholar Award to D.A.W., and funding from the Loyola Marymount University Seaver College of Science and Engineering also to D.A.W.

Funding Information:
This research was funded in part by a U.S. Fulbright Global Scholar Award to D.A.W., and funding from the Loyola Marymount University Seaver College of Science and Engineering also to D.A.W.The authors extend tremendous gratitude to the Escuela Superior Polt?cnica del Litoral and the University of the Philippines Marine Science Institute, who hosted the associated eDNA/IUU fishing research workshops that helped conduct this research, and the 22 workshop participants from Ecuador, Peru, and the Philippines. D.A.W. especially thanks host faculty Rachel Gotanco, Mudjie Santos, and Luis Dominguez for their kindness and collaboration, and thanks Margarita Joaquin for logistical support.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

Commercial fishing
Environmental samples
Metabarcoding
Seafood
Species identification
Traceability
Tuna

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10.3390/foods10061425

Cite this

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title = "Characterizing industrial and artisanal fishing vessel catch composition using environmental dna and satellite-based tracking data",

abstract = "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{\textquoteright}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.",

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author = "Willette, {Demian A.} and Gabriela Navarrete-Forero and Zachary Gold and Lizano, {Apollo Marco D.} and Leonardo Gonzalez-Smith and Giovanna Sotil",

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AU - Gonzalez-Smith, Leonardo

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N2 - 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.

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Characterizing industrial and artisanal fishing vessel catch composition using environmental dna and satellite-based tracking data

Abstract

Bibliographical note

Keywords

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