Evidence map›Paper›PMID 30358106›Full record

ArticleMolecular ecology resources2019

Metabarcoding of shrimp stomach content: Harnessing a natural sampler for fish biodiversity monitoring.

Andjin Siegenthaler, Owen S Wangensteen, Ana Z Soto, Chiara Benvenuto, Laura Corrigan, Stefano Mariani

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 93 citations in OpenAlex.

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  13. Profiling Analysis of Filter FeederInternational journal of environmental research and public health · 2022
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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

6 authors at 2 institutions in 1 country.

Andjin SiegenthalerEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID http://orcid.org/0000-0003-3480-4747
Owen S WangensteenEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID http://orcid.org/0000-0001-5593-348X
Ana Z SotoEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.
Chiara BenvenutoEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID http://orcid.org/0000-0002-8378-8168
Laura CorriganEnvironment Agency, Tyneside House, Newcastle upon Tyne, UK.
Stefano MarianiEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID http://orcid.org/0000-0002-5329-0553
University of Salford · GBEnvironment Agency · GB

Funding

Mersey Gateway Environmental TrustNatural Environment Research Council NE/N005759/1Santander Advantage FundUniversity of Salford Manchester
6 · The paper itself

Abstract

Given their positioning and biological productivity, estuaries have long represented key providers of ecosystem services and consequently remain under remarkable pressure from numerous forms of anthropogenic impact. The monitoring of fish communities in space and time is one of the most widespread and established approaches to assess the ecological status of estuaries and other coastal habitats, but traditional fish surveys are invasive, costly, labour intensive and highly selective. Recently, the application of metabarcoding techniques, on either sediment or aqueous environmental DNA, has rapidly gained popularity. Here, we evaluate the application of a novel, high-throughput DNA-based monitoring tool to assess fish diversity, based on the analysis of the gut contents of a generalist predator/scavenger, the European brown shrimp, Crangon crangon. Sediment and shrimp samples were collected from eight European estuaries, and DNA metabarcoding (using both 12S and COI markers) was carried out to infer fish assemblage composition. We detected 32 teleost species (16 and 20, for 12S and COI, respectively). Twice as many species were recovered using metabarcoding than by traditional net surveys. By comparing and interweaving trophic, environmental DNA and traditional survey-based techniques, we show that the DNA-assisted gut content analysis of a ubiquitous, easily accessible, generalist species may serve as a powerful, rapid and cost-effective tool for large-scale, routine estuarine biodiversity monitoring.

Indexed as

BiodiversityGastrointestinal ContentsAnimalsCrangonidaeDNA Barcoding, TaxonomicElectron Transport Complex IVEstuariesEuropeFeeding BehaviorFishesHigh-Throughput Nucleotide SequencingMetagenomicsRNA, RibosomalCox7a2 protein, ratElectron Transport Complex IVRNA, RibosomalRNA, ribosomal, 12Sbiodiversity monitoringCrangon crangonDNAenvironmental assessmentfish communitiestrophic metabarcoding

Identifiers

PMID30358106
PMCPMC7379652
OpenAlexW2898433265

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.