Evidence map›Paper›PMID 39511304›Full record

ArticleCommunications biology2024

Early-life gut microbiota assembly patterns are conserved between laboratory and wild mice.

Eveliina Hanski, Aura Raulo, Sarah C L Knowles

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  12. Frontiers in cellular and infection microbiology · 2025
    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

3 authors.

Eveliina HanskiDepartment of Biology, University of Oxford, Oxford, Oxfordshire, UK. eveliina.hanski@biology.ox.ac.uk.ORCID 0000-0002-1952-8724
Aura RauloDepartment of Biology, University of Oxford, Oxford, Oxfordshire, UK.
Sarah C L KnowlesDepartment of Biology, University of Oxford, Oxford, Oxfordshire, UK. sarah.knowles@biology.ox.ac.uk.ORCID 0000-0002-2368-4623

Funding

European Research Council 851550National Geographic Society EC-58520R-19Natural Environment Research Council NE/L011867/1
6 · The paper itself

Abstract

Assembly of the mammalian gut microbiota during early life is known to shape key aspects of organismal development, including immunity, metabolism and behaviour. While house mice (Mus musculus) are the major laboratory model organism for gut microbiota research, their artificial lab-based lifestyle could fundamentally alter ecological processes of microbiota assembly and dynamics, in ways that affect their usefulness as a model system. To examine this, here we directly compared patterns of gut microbiota assembly in house mice from the lab and from the wild, making use of a tractable, individually-marked wild population where we could examine patterns of gut microbiota assembly during early life. Despite lab and wild mice harbouring taxonomically distinct communities, we identify striking similarities in multiple patterns of their gut microbiota assembly. Specifically, age-related changes in both alpha and beta diversity, as well as the abundance of predominant phyla and aerotolerance of the microbiota followed parallel trajectories in both settings. These results suggest some degree of intrinsic programme in gut microbiota assembly that transcends variation in taxonomic profiles, and the genetic and environmental background of the host. They further support the notion that despite their artificial environment, lab mice can provide meaningful insights into natural microbiota ecological dynamics in early life and their interplay with host development.

Indexed as

Gastrointestinal MicrobiomeAnimalsAnimals, LaboratoryAnimals, WildBacteriaFemaleMaleMice

Identifiers

PMID39511304
PMCPMC11543677

What OpenQuestion holds

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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.