Evidence map›Paper›PMID 25909977›Full record

ArticleThe ISME journal2015

Dietary input of microbes and host genetic variation shape among-population differences in stickleback gut microbiota.

Chris C R Smith, Lisa K Snowberg, J Gregory Caporaso, Rob Knight, Daniel I Bolnick

Abstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing 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

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

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111 more citing papers are in PubMed but not listed here.

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.

Chris C R SmithDepartment of Integrative Biology, University of Texas at Austin, One University Station C0990, Austin, TX, USA.
Lisa K SnowbergDepartment of Integrative Biology, University of Texas at Austin, One University Station C0990, Austin, TX, USA.
J Gregory CaporasoDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
Rob KnightDepartment of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-0975-9019
Daniel I BolnickHoward Hughes Medical Institute & Department of Integrative Biology, University of Texas at Austin, One University Station C0990, Austin, TX, USA.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

To explain differences in gut microbial communities we must determine how processes regulating microbial community assembly (colonization, persistence) differ among hosts and affect microbiota composition. We surveyed the gut microbiota of threespine stickleback (Gasterosteus aculeatus) from 10 geographically clustered populations and sequenced environmental samples to track potential colonizing microbes and quantify the effects of host environment and genotype. Gut microbiota composition and diversity varied among populations. These among-population differences were associated with multiple covarying ecological variables: habitat type (lake, stream, estuary), lake geomorphology and food- (but not water-) associated microbiota. Fish genotype also covaried with gut microbiota composition; more genetically divergent populations exhibited more divergent gut microbiota. Our results suggest that population level differences in stickleback gut microbiota may depend more on internal sorting processes (host genotype) than on colonization processes (transient environmental effects).

Indexed as

DietGastrointestinal MicrobiomeAnimalsBritish ColumbiaEstuariesGenetics, PopulationGenetic VariationGenotypeGeographyIntestinesLakesRiversRNA, Ribosomal, 16SSmegmamorphaWater MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID25909977
PMCPMC4611514

What OpenQuestion holds

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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.