Paired sequencing of IgA-bound bacteria reveals widespread associations between adaptive immunity and gut microbiome gene expression.
Sauers, L. A.; Lim, K. A. L. Y.; Zhang, X.; Morrisroe, C.; Smiga, M.; Hepworth, M. R.; Coyte, K. Z.
Show abstract
Immunoglobulin A (IgA) is the most abundant antibody within the mammalian gut, where it binds to both pathogenic and commensal microbes. Despite its prevalence, the impact of IgA upon the biology and behavior of individual microbes remains poorly understood. Here we present Paired Immunoglobulin Sequencing (PIg-seq), a high-throughput method to identify IgA-associated changes in bacterial gene expression. Using PIg-seq we uncover widespread, and in many cases previously unrecognized, transcriptional responses associated with IgA-binding within the mouse gut. While many of these associations are conserved across diverse bacterial lineages, others vary dramatically even between closely related strains, revealing striking strain-level heterogeneity. Most notably, IgA binding is associated with altered expression of bacterial conjugation genes, and multiple prophages, suggesting an exciting link between adaptive immunity and horizontal gene transfer. Together, our findings establish IgA as a key regulator of microbial behavior, with potential consequences for both the ecology and the evolution of the gut microbiome.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Prevalent Gut Phages Encode Modular Adhesins Mediating Epithelial Binding and Endoplasmic Reticulum Trafficking 95%
- Pneumococcus suppresses host inflammatory response through COMMD2 mediated NF-κB degradation by aggrephagy 95%
- Postnatal intestinal epithelial maturation by LSD1 controls the small intestinal immune cell composition independently from the microbiota 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.