Evidence map›Paper›PMID 31964727›Full record

ArticlemBio2020

Microbiomes Reduce Their Host's Sensitivity to Interspecific Interactions.

Sara L Jackrel, Kathryn C Schmidt, Bradley J Cardinale, Vincent J Denef

Abstract read
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. The study of host-microbiome (co)evolution across levels of selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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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.

Sara L Jackrel *Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA sjackrel@ucsd.edu vdenef@umich.edu.
Kathryn C Schmidt *Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.
Bradley J CardinaleSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
Vincent J DenefDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA sjackrel@ucsd.edu vdenef@umich.edu.ORCID 0000-0001-7830-8572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria associated with eukaryotic hosts can affect host fitness and trophic interactions between eukaryotes, but the extent to which bacteria influence the eukaryotic species interactions within trophic levels that modulate biodiversity and species coexistence is mostly unknown. Here, we used phytoplankton, which are a classic model for evaluating interactions between species, grown with and without associated bacteria to test whether the bacteria alter the strength and type of species interactions within a trophic level. We demonstrate that host-associated bacteria alter host growth rates and carrying capacity. This did not change the type but frequently changed the strength of host interspecific interactions by facilitating host growth in the presence of an established species. These findings indicate that microbiomes can regulate their host species' interspecific interactions. As between-species interaction strength impacts their ability to coexist, our findings show that microbiomes have the potential to modulate eukaryotic species diversity and community composition.

Indexed as

Host-Pathogen InteractionsMicrobial InteractionsMicrobiotaBiodiversityHost Specificitybiodiversityeukaryotic species interactionsmicrobiomespecies coexistence

Identifiers

PMID31964727
PMCPMC6974562

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.