Cited by 52Gut microbiota and healthMicrobial Community Ecology and PhysiologyInsect symbiosis and bacterial influences

Social and environmental transmission spread different sets of gut microbes in wild mice

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Raulo, Aura, Bürkner, Paul-Christian, Finerty, Genevieve E., Dale, Jarrah, Hanski, Eveliina, English, Holly M., Lamberth, Curt, Firth, Josh A. +2 more·2024·Nature Ecology & Evolution

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Abstract

Gut microbes shape many aspects of organismal biology, yet how these key bacteria transmit among hosts in natural populations remains poorly understood. Recent work in mammals has emphasized either transmission through social contacts or indirect transmission through environmental contact, but the relative importance of different routes has not been directly assessed. Here we used a novel radio-frequency identification-based tracking system to collect long-term high-resolution data on social relationships, space use and microhabitat in a wild population of mice ( Apodemus sylvaticus ), while regularly characterizing their gut microbiota with 16S ribosomal RNA profiling. Through probabilistic modelling of the resulting data, we identify positive and statistically distinct signals of social and environmental transmission, captured by social networks and overlap in home ranges, respectively. Strikingly, microorganisms with distinct biological attributes drove these different transmission signals. While the social network effect on microbiota was driven by anaerobic bacteria, the effect of shared space was most influenced by aerotolerant spore-forming bacteria. These findings support the prediction that social contact is important for the transfer of microorganisms with low oxygen tolerance, while those that can tolerate oxygen or form spores may be able to transmit indirectly through the environment. Overall, these results suggest social and environmental transmission routes can spread biologically distinct members of the mammalian gut microbiota.

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  • Similar problems, and a need for phylogenetic methods, arise when using data from other omic methods, such as transcriptomics, metagenomics or metabolomics.

    “Similar problems, and a need for phylogenetic methods, arise when using data from other omic methods, such as transcriptomics, metagenomics or metabolomics61–64.”

    From A phylogenetic approach to comparative genomics (2025) · cites this paper as [63]

    Methods (Statistical analyses; page not provided) says the authors accounted for phylogenetic non-independence among bacterial genera, supporting the need for a phylogenetic approach in this microbiota analysis. Methods (Microbiota profiling; page not provided) describes 16S rRNA sequencing, not transcriptomics, metagenomics or metabolomics; the paper does not establish the claimed need across those methods. (LLM, conf=0.87)

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Authors
Raulo, A., Bürkner, P.-C., Finerty, G. E., Dale, J., Hanski, E., English, H. M., Lamberth, C., Firth, J. A., Coulson, T., & Knowles, S. C. L.
Affiliations
  • University of Turku (FI)
  • TU Dortmund University (DE)
  • University of Konstanz (DE)
  • University of Oxford (GB)
  • University College Dublin (IE)
  • University of Leeds (GB)
Corresponding author
Raulo, Aura
Venue
Nature Ecology & Evolution
Published
2024-05-01
Volume
8
Issue
5
Pages
972-985
ISSN
2397-334X (ISSN-L)
OpenAlex
W4396558958
Cited by
52
References
4
Citations by year
2026: 22 · 2025: 22 · 2024: 8
FWCI
6.73
Type
journal article
Language
en
Open access
Locations
  • Nature Ecology & Evolution (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • UTUPub (University of Turku) (submittedVersion)
  • UTUPub (University of Turku) (submittedVersion, cc-by)
  • KOPS (University of Konstanz) (submittedVersion, cc-by)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by)
Funders
  • University of Oxford (GAF1617_CB_ MPLS_1053243)
  • NERC Environmental Bioinformatics Centre (NE.L011867/1)
  • National Centre for the Replacement Refinement and Reduction of Animals in Research (NC/R001103/1)
  • EC | Horizon 2020 Framework Programme (n° 851550)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
  • Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect symbiosis and bacterial influences
Keywords
gut microbiota, microbial transmission, social transmission, environmental transmission, Apodemus sylvaticus, wild mice, social networks, home range overlap, microhabitat, anaerobic bacteria, spore-forming bacteria, oxygen tolerance, space use
MeSH terms
Gastrointestinal Microbiome, Animals, Bacteria, Female, Male, RNA, Ribosomal, 16S, Social Behavior, Murinae, Mice

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