Evidence map›Paper›PMID 41420109›Full record

ArticleOecologia2025

Marmot gut microbiomes are stable against dietary variation.

Cecilia McCormick, Samuel Degregori, Gina C Johnson, Daniel T Blumstein, Paul H Barber

Abstract read
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In one paragraph

Article in Oecologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cecilia McCormick *Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095-1606, USA. cecimccormick@g.ucla.edu.ORCID http://orcid.org/0009-0007-4190-6641
Samuel Degregori *Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095-1606, USA.
Gina C JohnsonDepartment of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095-1606, USA.
Daniel T BlumsteinDepartment of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095-1606, USA.
Paul H BarberDepartment of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095-1606, USA.

Funding

National Science Foundation 1557130
6 · The paper itself

Abstract

Animal gut microbiomes, particularly those of herbivorous mammals, are strongly shaped by the host diet. However, how dietary composition impacts gut microbiome variation across a population of wild hosts is unknown. To examine the relationship between gut microbiome composition and diet composition across individuals, we employed a multi-omic approach leveraging both 16S rRNA amplicon sequencing and plant DNA metabarcoding (tRNL primer) in 39 wild yellow-bellied marmot fecal samples from the Rocky Mountains. We utilized the 16 s rRNA primer to target microbes and the tRNL primer to target plants. Our results indicate that the marmot gut microbiomes appear to be stable against dietary variation, even across individuals with significantly different diets. We also show that colony membership significantly impacts marmot dietary variation, while age does not. Thus, while diet clearly plays a significant role in shaping mammalian gut microbiomes, our study suggests that diet composition within the same species has a minimal impact on gut microbiome variation, particularly in the absence of experimental manipulations and dietary interventions.

Indexed as

DietGastrointestinal MicrobiomeMarmotaAnimalsFecesRNA, Ribosomal, 16SRNA, Ribosomal, 16SDietDNA metabarcodingEcologyGut microbiomeMarmots

Identifiers

What OpenQuestion holds

Textmetadata
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.