Evidence map›Paper›PMID 33580209›Full record

ArticleThe ISME journal2021

Bacterial microbiota similarity between predators and prey in a blue tit trophic network.

Hélène Dion-Phénix, Anne Charmantier, Christophe de Franceschi, Geneviève Bourret, Steven W Kembel, Denis Réale

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.9field-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

18 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Spatial Variation ofPlants (Basel, Switzerland) · 2021
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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 2 countries.

Hélène Dion-PhénixDépartement des sciences biologiques, Université du Québec à Montréal, Montréal, QC, Canada. dion-phenix.helene@courrier.uqam.ca.ORCID http://orcid.org/0000-0003-4877-9968
Anne CharmantierCEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.ORCID http://orcid.org/0000-0002-0691-2647
Christophe de FranceschiCEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.
Geneviève BourretDépartement des sciences biologiques, Université du Québec à Montréal, Montréal, QC, Canada.
Steven W KembelDépartement des sciences biologiques, Université du Québec à Montréal, Montréal, QC, Canada.ORCID http://orcid.org/0000-0001-5224-0952
Denis RéaleDépartement des sciences biologiques, Université du Québec à Montréal, Montréal, QC, Canada.ORCID http://orcid.org/0000-0002-0419-7125
Université du Québec à Montréal · CACentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trophic networks are composed of many organisms hosting microbiota that interact with their hosts and with each other. Yet, our knowledge of the factors driving variation in microbiota and their interactions in wild communities is limited. To investigate the relation among host microbiota across a trophic network, we studied the bacterial microbiota of two species of primary producers (downy and holm oaks), a primary consumer (caterpillars), and a secondary consumer (blue tits) at nine sites in Corsica. To quantify bacterial microbiota, we amplified 16S rRNA gene sequences in blue tit feces, caterpillars, and leaf samples. Our results showed that hosts from adjacent trophic levels had a more similar bacterial microbiota than hosts separated by two trophic levels. Our results also revealed a difference between bacterial microbiota present on the two oak species, and among leaves from different sites. The main drivers of bacterial microbiota variation within each trophic level differed across spatial scales, and sharing the same tree or nest box increased similarity in bacterial microbiota for caterpillars and blue tits. This study quantifies host microbiota interactions across a three-level trophic network and illustrates how the factors shaping bacterial microbiota composition vary among different hosts.

Indexed as

MicrobiotaSongbirdsAnimalsBacteriaFranceRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID33580209
PMCPMC8115664
OpenAlexW3128180079

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.