Novel gut pathobionts confound results in a widely used mouse model of human inflammatory disease

Abstract

The mammalian gut microbiota consists of hundreds of anaerobic bacterial species that shape intestinal homeostasis and influence host immune responses. Although the causal roles of specific human gut bacterial species in health and disease are emerging, the role of indigenous gut bacteria in driving immunophenotypic variability in mouse models of human disease remains poorly understood. We performed a large-scale experiment using 579 laboratory mice designed to identify and validate the causes of disease variability in the widely used dextran sulphate sodium (DSS) mouse model of inflammatory bowel disease. Using microbiome analysis, coupled with machine learning and targeted anaerobic culturing, we identified and isolated the novel gut pathobiont species Duncaniella muricolitica and Alistipes okayasuensis and fulfilled Koch’s postulates in mice to show that each pathobiont exerts dominant effects in the DSS model leading to variable treatment responses. We show these pathobiont species are common, but not ubiquitous, in mouse facilities around the world, raising experimental design opportunities for improved mouse models of human intestinal diseases.