微生物群
生物
基因组
人类遗传学
人体微生物群
人类微生物组计划
基因组
遗传学
人口
进化生物学
基因分型
长双歧杆菌
遗传变异
计算生物学
焦测序
双歧杆菌
DNA测序
基因
基因型
医学
乳酸菌
细菌
环境卫生
作者
Raivo Kolde,Eric A. Franzosa,Ali Rahnavard,A. Brantley Hall,Hera Vlamakis,Christine Stevens,Mark J. Daly,Ramnik J. Xavier,Curtis Huttenhower
出处
期刊:Genome Medicine
[Springer Nature]
日期:2018-01-29
卷期号:10 (1): 6-6
被引量:187
标识
DOI:10.1186/s13073-018-0515-8
摘要
Despite the increasing recognition that microbial communities within the human body are linked to health, we have an incomplete understanding of the environmental and molecular interactions that shape the composition of these communities. Although host genetic factors play a role in these interactions, these factors have remained relatively unexplored given the requirement for large population-based cohorts in which both genotyping and microbiome characterization have been performed.We performed whole-genome sequencing of 298 donors from the Human Microbiome Project (HMP) healthy cohort study to accompany existing deep characterization of their microbiomes at various body sites. This analysis yielded an average sequencing depth of 32x, with which we identified 27 million (M) single nucleotide variants and 2.3 M insertions-deletions.Taxonomic composition and functional potential of the microbiome covaried significantly with genetic principal components in the gastrointestinal tract and oral communities, but not in the nares or vaginal microbiota. Example associations included validation of known associations between FUT2 secretor status, as well as a variant conferring hypolactasia near the LCT gene, with Bifidobacterium longum abundance in stool. The associations of microbial features with both high-level genetic attributes and single variants were specific to particular body sites, highlighting the opportunity to find unique genetic mechanisms controlling microbiome properties in the microbial communities from multiple body sites.This study adds deep sequencing of host genomes to the body-wide microbiome sequences already extant from the HMP healthy cohort, creating a unique, versatile, and well-controlled reference for future studies seeking to identify host genetic modulators of the microbiome.
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