Evidence map›Paper›PMID 34205462›Full record

ArticleFoods (Basel, Switzerland)2021

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

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 4 countries.

Demian A WilletteBiology Department, Loyola Marymount University, Los Angeles, CA 90045-2659, USA.ORCID 0000-0002-2843-9715
Gabriela Navarrete-ForeroCentro del Agua y Desarrollo Sustentable, Escuela Superior Politécnica del Litoral, 090902 Guayaquil, Ecuador.
Zachary GoldDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
Apollo Marco D LizanoFaculty of Bioscience & Aquaculture, Nord University, 8026 Bodø, Norway.ORCID 0000-0002-8216-3078
Leonardo Gonzalez-SmithBiology Department, Loyola Marymount University, Los Angeles, CA 90045-2659, USA.ORCID 0000-0002-7585-6407
Giovanna SotilLaboratorio de Genética Molecular, Instituto del Mar del Perú-IMARPE, Callao 01, Lima, Peru.
Loyola Marymount University · USEscuela Superior Politecnica del Litoral · ECInstituto del Mar del Peru · PENord University · NOUniversity of California, Los Angeles · US

Funding

United States Fulbright Global Scholar Program xxx
6 · The paper itself

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.

Indexed as

commercial fishingenvironmental samplesmetabarcodingseafoodspecies identificationtraceabilitytuna

Identifiers

PMID34205462
PMCPMC8235475
OpenAlexW3174730036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.