Comprehensive mouse microbiota genome catalog reveals major difference to its human counterpart.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
03 2022
Historique:
received: 17 08 2021
accepted: 21 02 2022
revised: 18 03 2022
pubmed: 9 3 2022
medline: 13 4 2022
entrez: 8 3 2022
Statut: epublish

Résumé

Mouse is the most used model for studying the impact of microbiota on its host, but the repertoire of species from the mouse gut microbiome remains largely unknown. Accordingly, the similarity between human and mouse microbiomes at a low taxonomic level is not clear. We construct a comprehensive mouse microbiota genome (CMMG) catalog by assembling all currently available mouse gut metagenomes and combining them with published reference and metagenome-assembled genomes. The 41'798 genomes cluster into 1'573 species, of which 78.1% are uncultured, and we discovered 226 new genera, seven new families, and one new order. CMMG enables an unprecedented coverage of the mouse gut microbiome exceeding 86%, increases the mapping rate over four-fold, and allows functional microbiota analyses of human and mouse linking them to the driver species. Comparing CMMG to microbiota from the unified human gastrointestinal genomes shows an overlap of 62% at the genus but only 10% at the species level, demonstrating that human and mouse gut microbiota are largely distinct. CMMG contains the most comprehensive collection of consistently functionally annotated species of the mouse and human microbiome to date, setting the ground for analysis of new and reanalysis of existing datasets at an unprecedented depth.

Identifiants

pubmed: 35259160
doi: 10.1371/journal.pcbi.1009947
pii: PCOMPBIOL-D-21-01510
pmc: PMC8932566
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1009947

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Silas Kieser (S)

Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Centre Medical Universitaire, Geneva, Switzerland.
Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Swiss Institute of Bioinformatics, Geneva, Switzerland.

Evgeny M Zdobnov (EM)

Swiss Institute of Bioinformatics, Geneva, Switzerland.
Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Centre Medical Universitaire, Geneva, Switzerland.
Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland.

Mirko Trajkovski (M)

Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Centre Medical Universitaire, Geneva, Switzerland.
Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland.

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Classifications MeSH