Species-specific CD4 + T cells Enable Prediction of Mucosal Immune Phenotypes from Microbiota Composition

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ABSTRACT How bacterial strains within a complex human microbiota collectively shape intestinal T cell homeostasis is not well-understood. Methods that quickly identify effector strains or species that drive specific mucosal T cell phenotypes are needed to define general principles for how the microbiota modulates host immunity. We colonize germ-free mice with defined communities of cultured strains and profile antigen-specific responses directed towards individual strains ex vivo . We find that lamina propria T cells are specific to bacterial strains at the species level and can discriminate between strains of the same species. Ex vivo restimulations consistently identify the strains within complex communities that induce Th17 responses in vivo providing the potential to shape baseline immune tone via community composition. Using an adoptive transfer model of colitis, we find that lamina propria T cells respond to different bacterial strains in conditions of inflammation versus homeostasis. Collectively, our approach represents a novel method for efficiently predicting the relative impact of individual bacterial strains within a complex community and for parsing microbiota-dependent phenotypes into component fractions. SIGNIFICANCE Determining the mechanisms by which the gut microbiome modulates the host immune system has translational potential for treating or preventing immune mediated disease. A key challenge is identifying the immunogenic bacterial strains in the setting of a complex microbiota. We use a combination of anaerobic culturing, in vitro T cell assays, gnotobiotic mouse models, and ex vivo T cell restimulations to explore the influence of species and strain diversity on the specificity of mucosal T cells. Our approach efficiently predicts the relative impact of individual bacterial strains within a complex community and can be used to parse microbiota-dependent phenotypes into component fractions.

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