Human health and disease have increasingly been shown to be impacted by the gut microbiota, and mouse models are essential for investigating these effects. However, the compositions of human and ...mouse gut microbiotas are distinct, limiting translation of microbiota research between these hosts. To address this, we constructed the Mouse Gastrointestinal Bacteria Catalogue (MGBC), a repository of 26,640 high-quality mouse microbiota-derived bacterial genomes. This catalog enables species-level analyses for mapping functions of interest and identifying functionally equivalent taxa between the microbiotas of humans and mice. We have complemented this with a publicly deposited collection of 223 bacterial isolates, including 62 previously uncultured species, to facilitate experimental investigation of individual commensal bacteria functions in vitro and in vivo. Together, these resources provide the ability to identify and test functionally equivalent members of the host-specific gut microbiotas of humans and mice and support the informed use of mouse models in human microbiota research.
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•MGBC allows functional translation between human and mouse microbiotas•Previously uncultured isolates expand culture collection of mouse gut microbes•Bioinformatic toolkit maps taxonomic locations of microbial functions of interest
Beresford-Jones et al. find that while less than 3% of bacterial species are shared between human and mouse gut microbiotas, they can identify the closest functionally related species between these host-specific microbiotas using the bacterial genome catalog they developed. This will facilitate translation of microbiota-related research between humans and mice.
Experimental mouse models are central to basic biomedical research; however, variability exists across genetically identical mice and mouse facilities making comparisons difficult. Whether specific ...indigenous gut bacteria drive immunophenotypic variability in mouse models of human disease remains poorly understood. We performed a large-scale experiment using 579 genetically identical laboratory mice from a single animal facility, designed to identify the causes of disease variability in the widely used dextran sulphate sodium mouse model of inflammatory bowel disease. Commonly used treatment endpoint measures-weight loss and intestinal pathology-showed limited correlation and varied across mouse lineages. Analysis of the gut microbiome, coupled with machine learning and targeted anaerobic culturing, identified and isolated two previously undescribed species, Duncaniella muricolitica and Alistipes okayasuensis, and demonstrated that they exert dominant effects in the dextran sulphate sodium model leading to variable treatment endpoint measures. We show that the identified gut microbial species are common, but not ubiquitous, in mouse facilities around the world, and suggest that researchers monitor for these species to provide experimental design opportunities for improved mouse models of human intestinal diseases.
Abstract
The gut microbiota has been identified as a leading cause of irreproducibility in mouse models, but current resources are insufficient to address this core challenge in immunology research. ...Furthermore, although mouse models are central tools for biomedical science, it is not known how the bacteria in the mouse gut – important determinants of immunological phenotypes – affect their ability to recapitulate human disease. To better characterise the mouse gut microbiota and facilitate its functional and taxonomic comparison to the human microbiota, we developed the Mouse Microbial Genome Collection (MMGC), the most comprehensive representation of the global laboratory mouse microbiome to date. The MMGC is a repository of 276 genomes from cultured isolates and 18,075 non-redundant, near-complete metagenome-assembled genomes (MAGs) reassembled from 1,960 mouse metagenomes.
Using the MMGC, we define species-level signatures of inter-institutional variation in the mouse gut microbiota and provide a roadmap to achieve more relevant and reproducible mouse models. In addition, we confirm that while only 2.65% of bacterial species are common to human and mouse gut microbiotas, over 80% of annotatable functions are shared between hosts. The MMGC further enables the identification of functionally equivalent taxa in the mouse and human gut microbiotas, which we illustrate by comparing the pathways for butyrate synthesis and drug metabolism as proof-of-concept examples. In conclusion, the MMGC facilitates unprecedented insights into the mouse gut microbiota and enhances the use of mouse models in immunology research by providing access to the conservation status and taxonomic locations of microbial functions of interest.
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