Evidence map›Paper›PMID 33790382›Full record

ArticleScientific reports2021

eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters.

Eva Garcia-Vazquez, Oriane Georges, Sara Fernandez, Alba Ardura

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

4 authors.

Eva Garcia-VazquezDepartment of Functional Biology, University of Oviedo, C/Julian Claveria S/N, 33006, Oviedo, Spain.
Oriane GeorgesDepartment of Functional Biology, University of Oviedo, C/Julian Claveria S/N, 33006, Oviedo, Spain.
Sara FernandezDepartment of Natural Sciences, School of Science and Computing, Marine and Freshwater Research Centre, Galway-Mayo Institute of Technology, Dublin Road, Galway, H91 T8NW, Ireland.
Alba ArduraDepartment of Functional Biology, University of Oviedo, C/Julian Claveria S/N, 33006, Oviedo, Spain. arduraalba@uniovi.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zooplankton community inventories are the basis of fisheries management for containing fish larvae and their preys; however, the visual identification of early-stage larvae (the "missing biomass") is difficult and laborious. Here, eDNA metabarcoding was employed to detect zooplankton species of interest for fisheries from open and coastal waters. High-Throughput sequencing (HTS) from environmental samples using small water volumes has been proposed to detect species of interest whose DNA is the most abundant. We analyzed 6-L water samples taken from subtropical and tropical waters using Cytochrome oxidase I (COI) gene as metabarcode. In the open ocean, several commercial fish larvae and invertebrate species important in fish diet were found from metabarcodes and confirmed from individual barcoding. Comparing Atlantic, Mediterranean, Red Sea, and Pacific samples we found a lower taxonomic depth of OTU assignments in samples from tropical waters than in those from temperate ones, suggesting large gaps in reference databases for those areas; thus a higher effort of zooplankton barcoding in tropical oceans is highly recommended. This and similar simplified sampling protocols could be applied in early detection of species important for fisheries.

Indexed as

BiodiversityBiomassDNA Barcoding, TaxonomicFood ChainHigh-Throughput Nucleotide SequencingAnimalsEnvironmental MonitoringOceans and SeasZooplankton

Identifiers

PMID33790382
PMCPMC8012656

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Registered trials

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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.