Evidence map›Paper›PMID 32760549›Full record

ArticleEcology and evolution2020

Marine water environmental DNA metabarcoding provides a comprehensive fish diversity assessment and reveals spatial patterns in a large oceanic area.

Natalia Fraija-Fernández, Marie-Catherine Bouquieaux, Anaïs Rey, Iñaki Mendibil, Unai Cotano, Xabier Irigoien, María Santos, Naiara Rodríguez-Ezpeleta

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

8 authors.

Natalia Fraija-FernándezAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Sukarrieta Spain.
Marie-Catherine BouquieauxAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Sukarrieta Spain.
Anaïs ReyAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Sukarrieta Spain.
Iñaki MendibilAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Sukarrieta Spain.
Unai CotanoAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Pasaia Spain.
Xabier IrigoienAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Pasaia Spain.
María SantosAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Pasaia Spain.
Naiara Rodríguez-EzpeletaAZTI, Marine Research Basque Research and Technology Alliance (BRTA) Sukarrieta Spain.ORCID https://orcid.org/0000-0001-6735-6755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for monitoring marine fish (including bony fishes and elasmobranchs) diversity mostly rely on trawling surveys, which are invasive, costly, and time-consuming. Moreover, these methods are selective, targeting a subset of species at the time, and can be inaccessible to certain areas. Here, we used environmental DNA (eDNA), the DNA present in the water column as part of shed cells, tissues, or mucus, to provide comprehensive information about fish diversity in a large marine area. Further, eDNA results were compared to the fish diversity obtained in pelagic trawls. A total of 44 5 L-water samples were collected onboard a wide-scale oceanographic survey covering about 120,000 square kilometers in Northeast Atlantic Ocean. A short region of the 12S rRNA gene was amplified and sequenced through metabarcoding generating almost 3.5 million quality-filtered reads. Trawl and eDNA samples resulted in the same most abundant species (European anchovy, European pilchard, Atlantic mackerel, and blue whiting), but eDNA metabarcoding resulted in more detected bony fish and elasmobranch species (116) than trawling (16). Although an overall correlation between fishes biomass and number of reads was observed, some species deviated from the common trend, which could be explained by inherent biases of each of the methods. Species distribution patterns inferred from eDNA metabarcoding data coincided with current ecological knowledge of the species, suggesting that eDNA has the potential to draw sound ecological conclusions that can contribute to fish surveillance programs. Our results support eDNA metabarcoding for broad-scale marine fish diversity monitoring in the context of Directives such as the Common Fisheries Policy or the Marine Strategy Framework Directive.

Indexed as

ActinopterygiiElasmobranchiienvironmental DNAmarine fish surveysmetabarcoding

Identifiers

PMID32760549
PMCPMC7391350

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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.