Evidence map›Paper›PMID 30276912›Full record

ArticleMolecular ecology2019

DNA metabarcoding unveils multiscale trophic variation in a widespread coastal opportunist.

Andjin Siegenthaler, Owen S Wangensteen, Chiara Benvenuto, Joana Campos, Stefano Mariani

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 51 citations in OpenAlex.

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  9. Review
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  12. From metabarcoding to metaphylogeography: separating the wheat from the chaff.Ecological applications : a publication of the Ecological Society of America · 2020
    Article
  13. GenBank is a reliable resource for 21st century biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
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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

5 authors at 2 institutions in 2 countries.

Andjin SiegenthalerEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID 0000-0003-3480-4747
Owen S WangensteenEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID 0000-0001-5593-348X
Chiara BenvenutoEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID 0000-0002-8378-8168
Joana CamposCIIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal.ORCID 0000-0002-7214-6901
Stefano MarianiEcosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, UK.ORCID 0000-0002-5329-0553
University of Salford · GBUniversidade do Porto · PT

Funding

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

Abstract

A thorough understanding of ecological networks relies on comprehensive information on trophic relationships among species. Since unpicking the diet of many organisms is unattainable using traditional morphology-based approaches, the application of high-throughput sequencing methods represents a rapid and powerful way forward. Here, we assessed the application of DNA metabarcoding with nearly universal primers for the mitochondrial marker cytochrome c oxidase I in defining the trophic ecology of adult brown shrimp, Crangon crangon, in six European estuaries. The exact trophic role of this abundant and widespread coastal benthic species is somewhat controversial, while information on geographical variation remains scant. Results revealed a highly opportunistic behaviour. Shrimp stomach contents contained hundreds of taxa (>1,000 molecular operational taxonomic units), of which 291 were identified as distinct species, belonging to 35 phyla. Only twenty ascertained species had a mean relative abundance of more than 0.5%. Predominant species included other abundant coastal and estuarine taxa, including the shore crab Carcinus maenas and the amphipod Corophium volutator. Jacobs' selectivity index estimates based on DNA extracted from both shrimp stomachs and sediment samples were used to assess the shrimp's trophic niche indicating a generalist diet, dominated by crustaceans, polychaetes and fish. Spatial variation in diet composition, at regional and local scales, confirmed the highly flexible nature of this trophic opportunist. Furthermore, the detection of a prevalent, possibly endoparasitic fungus (Purpureocillium lilacinum) in the shrimp's stomach demonstrates the wide range of questions that can be addressed using metabarcoding, towards a more robust reconstruction of ecological networks.

Indexed as

DNA Barcoding, TaxonomicEcologyEnvironmental MonitoringAmphipodaAnimalsBrachyuraDNAElectron Transport Complex IVEstuariesFeeding BehaviorFishesGastrointestinal ContentsPhylogeographyDNAElectron Transport Complex IVcommunity ecologycrustaceansdiet analysisenvironmental DNAfood websmetabarcoding

Identifiers

PMID30276912
PMCPMC7380037
OpenAlexW2889989344

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.