Polymorphic Immune Mechanisms Regulate Commensal Repertoire
- PMID: 31618625
- PMCID: PMC6904226
- DOI: 10.1016/j.celrep.2019.09.010
Polymorphic Immune Mechanisms Regulate Commensal Repertoire
Abstract
Environmental influences (infections and diet) strongly affect a host's microbiota. However, host genetics may influence commensal communities, as suggested by the greater similarity between the microbiomes of identical twins compared to non-identical twins. Variability of human genomes and microbiomes complicates the understanding of polymorphic mechanisms regulating the commensal communities. Whereas animal studies allow genetic modifications, they are sensitive to influences known as "cage" or "legacy" effects. Here, we analyze ex-germ-free mice of various genetic backgrounds, including immunodeficient and major histocompatibility complex (MHC) congenic strains, receiving identical input microbiota. The host's polymorphic mechanisms affect the gut microbiome, and both innate (anti-microbial peptides, complement, pentraxins, and enzymes affecting microbial survival) and adaptive (MHC-dependent and MHC-independent) pathways influence the microbiota. In our experiments, polymorphic mechanisms regulate only a limited number of microbial lineages (independently of their abundance). Our comparative analyses suggest that some microbes may benefit from the specific immune responses that they elicit.
Keywords: IgA-seq; MHC and microbiota; SFB; commensal repertoire and host genetics; defensins; microbiome; microbiota composition.
Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
DECLARATION OF INTERESTS
The authors declare no competing interests.
Figures
Comment in
-
Genetic Variation Shapes Murine Gut Microbiota via Immunity.Trends Immunol. 2020 Jan;41(1):1-3. doi: 10.1016/j.it.2019.11.009. Epub 2019 Dec 3. Trends Immunol. 2020. PMID: 31806285
References
-
- Bacchetti De Gregoris T, Aldred N, Clare AS, and Burgess JG (2011). Improvement of phylum- and class-specific primers for real-time PCR quantification of bacterial taxa. J. Microbiol. Methods 86, 351–356. - PubMed
-
- Bray NL, Pimentel H, Melsted P, and Pachter L (2016). Near-optimal probabilistic RNA-seq quantification. Nat. Biotechnol 34, 525–527. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Molecular Biology Databases
Research Materials
Miscellaneous
