Evidence map›Paper›PMID 37126549›Full record

ArticleScience advances2023

DNA metabarcoding highlights cyanobacteria as the main source of primary production in a pelagic food web model.

Andreas Novotny, Baptiste Serandour, Susanne Kortsch, Benoit Gauzens, Kinlan M G Jan, Monika Winder

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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  10. Genomic Insights intoJournal of microbiology and biotechnology · 2023
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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.

Andreas NovotnyDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-8910-6183
Baptiste SerandourDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
Susanne KortschSpatial Foodweb Ecology Group, Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-6495-4781
Benoit GauzensGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.ORCID 0000-0001-7748-0362
Kinlan M G JanDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-5579-0017
Monika WinderDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9467-3035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models that estimate rates of energy flow in complex food webs often fail to account for species-specific prey selectivity of diverse consumer guilds. While DNA metabarcoding is increasingly used for dietary studies, methodological biases have limited its application for food web modeling. Here, we used data from dietary metabarcoding studies of zooplankton to calculate prey selectivity indices and assess energy fluxes in a pelagic resource-consumer network. We show that food web dynamics are influenced by prey selectivity and temporal match-mismatch in growth cycles and that cyanobacteria are the main source of primary production in the investigated coastal pelagic food web. The latter challenges the common assumption that cyanobacteria are not supporting food web productivity, a result that is increasingly relevant as global warming promotes cyanobacteria dominance. While this study provides a method for how DNA metabarcoding can be used to quantify energy fluxes in a marine food web, the approach presented here can easily be extended to other ecosystems.

Indexed as

CyanobacteriaFood ChainAnimalsDNA Barcoding, TaxonomicEcosystemZooplankton

Identifiers

PMID37126549
PMCPMC10132751

What OpenQuestion holds

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LicenceCC BY
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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.