| Literature DB >> 29129355 |
Jing Li1, Ruiqing Fu2, Yajun Yang3, Hans-Peter Horz4, Yaqun Guan5, Yan Lu6, Haiyi Lou6, Lei Tian2, Shijie Zheng6, Hongjiao Liu7, Meng Shi2, Kun Tang6, Sijia Wang6, Shuhua Xu8.
Abstract
Distinct enterotypes have been observed in the human gut but little is known about the genetic basis of the microbiome. Moreover, it is not clear how many genetic differences exist between enterotypes within or between populations. In this study, both the 16S rRNA gene and the metagenomes of the gut microbiota were sequenced from 48 Han Chinese, 48 Kazaks, and 96 Uyghurs, and taxonomies were assigned after de novo assembly. Single nucleotide polymorphisms were also identified by referring to data from the Human Microbiome Project. Systematic analysis of the gut communities in terms of their abundance and genetic composition was also performed, together with a genome-wide association study of the host genomes. The gut microbiota of 192 subjects was clearly classified into two enterotypes (Bacteroides and Prevotella). Interestingly, both enterotypes showed a clear genetic differentiation in terms of their functional catalogue of genes, especially for genes involved in amino acid and carbohydrate metabolism. In addition, several differentiated genera and genes were found among the three populations. Notably, one human variant (rs878394) was identified that showed significant association with the abundance of Prevotella, which is linked to LYPLAL1, a gene associated with body fat distribution, the waist-hip ratio and insulin sensitivity. Taken together, considerable differentiation was observed in gut microbes between enterotypes and among populations that was reflected in both the taxonomic composition and the genetic makeup of their functional genes, which could have been influenced by a variety of factors, such as diet and host genetic variation.Entities:
Keywords: 16S rRNA; Enterotype; Genome-wide association study; Metagenome; Next-generation sequencing
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Year: 2017 PMID: 29129355 DOI: 10.1016/j.syapm.2017.09.006
Source DB: PubMed Journal: Syst Appl Microbiol ISSN: 0723-2020 Impact factor: 4.022