Stratification of athletes' gut microbiota: the multifaceted hubs associated with dietary factors, physical characteristics and performance. Issue 1 (9th November 2020)

• Record Type: Journal Article
• Authors: Han, Maozhen; Yang, Kun; Yang, Pengshuo; Zhong, Chaofang; Chen, Chaoyun; Wang, Song; Lu, Qunwei; Ning, Kang
• Is Part Of: Gut microbes. Volume 12:Issue 1(2020)
• Publication Date: 2020-11-09
• Subjects: Athlete gut microbiota -- enterotype -- random forest classifier -- dietary factors -- physical characteristics -- athletic performances; Gastrointestinal system -- Microbiology -- Periodicals; Microbiology -- Periodicals; Intestine, Small -- Periodicals; 616.3
• DOI: 10.1080/19490976.2020.1842991
• Languages: English
• ISSNs: 1949-0984

Abstract

ABSTRACT: Gut microbial communities of athletes differ from that of sedentary persons in both diversity and the presence of certain taxa. However, it is unclear to what degree elite athletes and non-elite athletes harbor different gut microbial community patterns and if we can effectively monitor the potential of athletes based on microbiota. A team of professional female rowing athletes in China was recruited and 306 fecal samples were collected from 19 individuals, which were separated into three cohorts: adult elite athlete's (AE), youth elite athlete's (YE), and youth non-elite athlete's (YN). The differences in gut microbiome among different cohorts were compared, and their associations with dietary factors, physical characteristics, and athletic performance were investigated. The microbial diversities of elite athletes were higher than those of youth non-elite athletes. The taxonomical, functional, and phenotypic compositions of AE, YE and YN were significantly different. Additionally, three enterotypes with clear separation were identified in athlete's fecal samples, with majority of elite athletes stratified into enterotype 3. And this enterotype-dependent gut microbiome is strongly associated with athlete performances. These differences in athlete gut microbiota lead to establishment of a random forest classifier based on taxonomical and functional biomarkers, capable of differentiating elite athletes and non-elite athletes with high accuracy. Finally, these versatilities of athlete microbial communities of athletes were found to be associated with dietary factors and physical characteristics, which can in concert explain 41% of the variability in gut microbiome.