Evidence map›Paper›PMID 26565698›Full record

ArticlePloS one2015

Variation in Taxonomic Composition of the Fecal Microbiota in an Inbred Mouse Strain across Individuals and Time.

Yana Emmy Hoy, Elisabeth M Bik, Trevor D Lawley, Susan P Holmes, Denise M Monack, Julie A Theriot, David A Relman

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Influence of Water Delivery Method on the Gut Microbiome in Laboratory Mice (Mus musculus).Journal of the American Association for Laboratory Animal Science : JAALAS · 2025
    Article
  5. Article
  6. Frontiers in immunology · 2023
    Article
  7. Article
  8. Article
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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

7 authors.

Yana Emmy HoyDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
Elisabeth M BikDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
Trevor D LawleyDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
Susan P HolmesDepartment of Statistics, Stanford University, Stanford, California, United States of America.
Denise M MonackDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
Julie A TheriotDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
David A RelmanDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
NIH Director's Pioneer AwardDP1OD000964 · OD · STANFORD UNIVERSITY · PI RELMAN, DAVID A. · 2006 to 2010
$3.4M
Howard Hughes Medical InstituteNIGMS NIH HHS P50 GM107615NIH HHS DP1 OD000964NIH HHS DP1OD000964
6 · The paper itself

Abstract

Genetics, diet, and other environmental exposures are thought to be major factors in the development and composition of the intestinal microbiota of animals. However, the relative contributions of these factors in adult animals, as well as variation with time in a variety of important settings, are still not fully understood. We studied a population of inbred, female mice fed the same diet and housed under the same conditions. We collected fecal samples from 46 individual mice over two weeks, sampling four of these mice for periods as long as 236 days for a total of 190 samples, and determined the phylogenetic composition of their microbial communities after analyzing 1,849,990 high-quality pyrosequencing reads of the 16S rRNA gene V3 region. Even under these controlled conditions, we found significant inter-individual variation in community composition, as well as variation within an individual over time, including increases in alpha diversity during the first 2 months of co-habitation. Some variation was explained by mouse membership in different cage and vendor shipment groups. The differences among individual mice from the same shipment group and cage were still significant. Overall, we found that 23% of the variation in intestinal microbiota composition was explained by changes within the fecal microbiota of a mouse over time, 12% was explained by persistent differences among individual mice, 14% by cage, and 18% by shipment group. Our findings suggest that the microbiota of controlled populations of inbred laboratory animals may not be as uniform as previously thought, that animal rearing and handling may account for some variation, and that as yet unidentified factors may explain additional components of variation in the composition of the microbiota within populations and individuals over time. These findings have implications for the design and interpretation of experiments involving laboratory animals.

Indexed as

AnimalsBacteriaDietFecesFemaleGenetic VariationMetagenomeMiceMice, Inbred StrainsMicrobiotaModels, StatisticalNucleotidesPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNATime FactorsNucleotidesRNA, Ribosomal, 16S

Identifiers

PMID26565698
PMCPMC4643986

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Registered trials

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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.