npj Biofilms and Microbiomes (Sep 2021)

Chinese gut microbiota and its associations with staple food type, ethnicity, and urbanization

  • Jing Lu,
  • Li Zhang,
  • Qixiao Zhai,
  • Jianxin Zhao,
  • Hao Zhang,
  • Yuan-Kun Lee,
  • Wenwei Lu,
  • Mingkun Li,
  • Wei Chen

DOI
https://doi.org/10.1038/s41522-021-00245-0
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 12

Abstract

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Abstract The gut microbiota could affect human health and disease. Although disease-associated microbiota alteration has been extensively investigated in the Chinese population, a nationwide Chinese gut microbiota baseline is still lacking. Here we performed 16 S rRNA gene sequencing on fecal samples from 2678 healthy Chinese individuals, who belonged to eight ethnic groups and resided in 63 counties/cities of 28 provinces. We identified four enterotypes, three of which were enriched for Prevotella, Bacteroides, and Escherichia, respectively, whereas the fourth one had no dominant genus. By assessing the association between the gut microbiota and 20 variables belonging to six categories, geography, demography, diet, urbanization, lifestyle, and sampling month, we revealed that geography explained the largest microbiota variation, and clarified the distinct patterns in the associations with staple food type, ethnicity, and urban/rural residence. Specifically, the gut microbiota of Han Chinese and ethnic minority groups from the same sites was more alike than that of the same ethnic minority groups from different sites. Individuals consuming wheat as staple food were predicted to have more microbial genes involving in glucan 1,3-beta-glucosidase and S-adenosyl-l-methionine biosynthesis than those who consumed rice, based on functional prediction. Besides, an appreciable effect of urbanization on decreased intra-individual diversity, increased inter-individual diversity, and increased proportion of the Bacteroides enterotype was observed. Collectively, our study provided a nationwide gut microbiota baseline of the Chinese population and knowledge on important covariates, which are fundamental to translational microbiota research.