Document Type
Article
Publication Date
8-30-2016
Publication Title
mSystems
Volume
1
Issue
4
Pages
1-16
Abstract
Many studies have demonstrated the importance of the gut microbiota in healthy and disease states. However, establishing the causality of host-microbiota interactions in humans is still challenging. Here, we describe a novel experimental system to define the transcriptional response induced by the microbiota for human cells and to shed light on the molecular mechanisms underlying host-gut microbiota interactions. In primary human colonic epithelial cells, we identified over 6,000 genes whose expression changed at various time points following coculturing with the gut microbiota of a healthy individual. Among the differentially expressed genes we found a 1.8-fold enrichment of genes associated with diseases that have been previously linked to the microbiome, such as obesity and colorectal cancer. In addition, our experimental system allowed us to identify 87 host single nucleotide polymorphisms (SNPs) that show allele-specific expression in 69 genes. Furthermore, for 12 SNPs in 12 different genes, allele-specific expression is conditional on the exposure to the microbiota. Of these 12 genes, 8 have been associated with diseases linked to the gut microbiota, specifically colorectal cancer, obesity, and type 2 diabetes. Our study demonstrates a scalable approach to study host-gut microbiota interactions and can be used to identify putative mechanisms for the interplay between host genetics and the microbiota in health and disease.
Recommended Citation
Richards AL, Burns MB, Alazizi A, Barreiro LB, Pique-Regi R, Blekhman R, Luca F. 2016. Genetic and transcriptional analysis of human host response to healthy gut microbiota. mSystems 1(4):e00067-16. doi: 10.1128/mSystems.00067-16
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© Allison L Richards, et al. 2016
Comments
Author Posting. © The Authors 2016. This article is posted here by permission of the American Society for Microbiology for personal use, not for redistribution. The article was published in mSystems, vol. 1, no. 4, 2016, https://doi.org/10.1128/mSystems.00067-16.