Publication:
A global survey of taxa-metabolic associations across mouse microbiome communities.

dc.contributor.authorYilmaz, Bahtiyar
dc.contributor.authorBaertschi, Isabel
dc.contributor.authorMeier, Karin H U
dc.contributor.authorLe Gac, Constance
dc.contributor.authorJordi, Sebastian B U
dc.contributor.authorBlack, Caitlin
dc.contributor.authorLi, Jiaqi
dc.contributor.authorLindholm, Anna K
dc.contributor.authorKönig, Barbara
dc.contributor.authorSauer, Uwe
dc.contributor.authorStelling, Jörg
dc.contributor.authorMacpherson, Andrew J
dc.date.accessioned2025-12-19T13:41:46Z
dc.date.available2025-12-19T13:41:46Z
dc.date.issued2025-11-12
dc.description.abstractHost-microbiota mutualism is rooted in the exchange of dietary and metabolic molecules. Microbial diversity broadens the metabolite pool, with each taxon contributing distinct compounds in varying proportions. In the human microbiome, high variability in consortial composition is largely compensated by similar metabolic functions across different taxa. However, the extent of compensation in lower diversity mouse models, and whether vivaria are metabolically equivalent, is unknown. We provide a searchable resource of microbiome composition variability across 51 murine vivaria and 12 wild mouse colonies worldwide, with vivarium-specific variants mapped according to predicted 3D structures for each microbial species. Our matched metabolomics data show that realized metabolic potential has relatively low variability, providing functional evidence for metabolic compensation. Additionally, variability is related to taxonomic composition rather than vivarium, revealing taxa-metabolite associations that are potentially relevant to phenotypic differences between vivaria. Collectively, this resource offers tools to strengthen microbiome studies and collaborative science.
dc.description.peerreviewed
dc.description.tableofcontentsWe are grateful to Daniel Mucida and Gregory Donaldson (Rockefeller University), Ruslan Medzhitov (Yale University School of Medicine), Miguel P. Soares (Instituto Gulbenkian de Cieˆ ncia), Jo Spencer and William Guesdon (King’s College London), Anita S.F. Chong and Qiang Wang (University of Chicago), Mathilde J.H. Girard-Madoux and Elisabeth Wieduwild (Aix-Marseille Universite´ ), Chris J. Janse (Leiden University Medical Center), Mario Bonalli (University of Zurich), and Henrik Rasmussen (Oslo University Hospital) for generously providing samples. Shotgun metagenomic sequencing was conducted on UBELIX, the HPC cluster at the University of Bern, with sequencing performed by the University of Bern’s NGS Platform. We further thank Matthew R. Olm (University of Colorado Boulder) and Alexander Crits-Christoph (University of California) for guidance on inStrain pipeline and Francesco Asnicar and Nicola Segata (Universita` di Trento) for support with HUMAnN pipeline. This research was funded by the Swiss National Science Foundation (SNF Starting grant TMSGI3_211300 to B.Y.; SNF Sinergia CRSII3_154414 and CRSII5_177164 to A.J.M., U.S., and J.S.). Additionally, A.J.M. received support from the European Research Council under the HHMM-Neonates Project (grant number 742195).
dc.format.number(11)
dc.format.page1960-1976
dc.format.volume33
dc.identifier.citationCell Host Microbe. 2025 Nov 12;33(11):1960-1976
dc.identifier.journalCell Host and Microbe
dc.identifier.pubmedID41187758
dc.identifier.urihttps://hdl.handle.net/20.500.12105/27097
dc.language.isoeng
dc.publisherCell Press
dc.relation.isreferencedbyPubMed
dc.relation.publisherversionhttps://doi.org/10.1016/j.chom.2025.10.010
dc.repisalud.institucionCNIC
dc.repisalud.orgCNICCNIC::Grupos de investigación::Moléculas Reguladoras de los Procesos Inflamatorios
dc.rights.accessRightsopen access
dc.rights.licenseAttribution-ShareAlike 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectfunctional complementation
dc.subjectgenome-scale model
dc.subjectmetabolomics
dc.subjectmetagenomics
dc.subjectsub-strain variants
dc.subjectwild mice microbiota
dc.titleA global survey of taxa-metabolic associations across mouse microbiome communities.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication

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