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Updated: Oct 1, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Comprehensive mouse microbiota genome catalog reveals major difference to its human counterpart
Silas Kieser1,2,3, Evgeny M Zdobnov3,4,5, Mirko Trajkovski1,2,5
1Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Centre Medical Universitaire, Geneva, Switzerland.
The comprehensive mouse microbiota genome catalog reveals distinct human and mouse gut species. This resource enhances microbiome analysis and understanding of host-microbe interactions.
Area of Science:
- Microbiome research
- Genomics
- Comparative biology
Background:
- The mouse gut microbiome's species composition is largely unknown, hindering comparative studies with human microbiomes.
- Understanding mouse gut microbiota is crucial as it's a primary model for host-microbe interaction research.
Purpose of the Study:
- To construct a comprehensive genome catalog for the mouse gut microbiome.
- To assess the similarity between human and mouse gut microbial communities at a species level.
- To improve functional analysis of host-microbe interactions.
Main Methods:
- Assembled available mouse gut metagenomes and reference genomes.
- Combined with metagenome-assembled genomes to create the Comprehensive Mouse Microbiota Genome (CMMG) catalog.
- Clustered genomes into species and annotated functions.
Main Results:
- The CMMG catalog contains 41,798 genomes, clustering into 1,573 species, with 78.1% uncultured.
- Discovered 226 new genera, seven new families, and one new order.
- Achieved over 86% coverage of the mouse gut microbiome, increasing mapping rates four-fold.
- Human and mouse gut microbiomes show 62% genus overlap but only 10% species overlap, indicating significant divergence.
Conclusions:
- The CMMG catalog provides unprecedented coverage and depth for mouse gut microbiome research.
- Human and mouse gut microbiomes are largely distinct at the species level.
- This resource facilitates detailed functional analyses and reanalysis of existing microbiome datasets.
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