Diversity and enterotype in gut bacterial community of adults in Taiwan

Chao Liang, Han Chi Tseng, Hui Mei Chen, Wei Chi Wang, Chih Min Chiu, Jen Yun Chang, Kuan Yi Lu, Shun Long Weng, Tzu Hao Chang, Chao Hsiang Chang, Chen Tsung Weng, Hwei Ming Wang, Hsien Da Huang

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Background: Gastrointestinal microbiota, particularly gut microbiota, is associated with human health. The biodiversity of gut microbiota is affected by ethnicities and environmental factors such as dietary habits or medicine intake, and three enterotypes of the human gut microbiome were announced in 2011. These enterotypes are not significantly correlated with gender, age, or body weight but are influenced by long-term dietary habits. However, to date, only two enterotypes (predominantly consisting of Bacteroides and Prevotella) have shown these characteristics in previous research; the third enterotype remains ambiguous. Understanding the enterotypes can improve the knowledge of the relationship between microbiota and human health. Results: We obtained 181 human fecal samples from adults in Taiwan. Microbiota compositions were analyzed using next-generation sequencing (NGS) technology, which is a culture-independent method of constructing microbial community profiles by sequencing 16S ribosomal DNA (rDNA). In these samples, 17,675,898 sequencing reads were sequenced, and on average, 215 operational taxonomic units (OTUs) were identified for each sample. In this study, the major bacteria in the enterotypes identified from the fecal samples were Bacteroides, Prevotella, and Enterobacteriaceae, and their correlation with dietary habits was confirmed. A microbial interaction network in the gut was observed on the basis of the amount of short-chain fatty acids, pH value of the intestine, and composition of the bacterial community (enterotypes). Finally, a decision tree was derived to provide a predictive model for the three enterotypes. The accuracies of this model in training and independent testing sets were 97.2 and 84.0%, respectively. Conclusions: We used NGS technology to characterize the microbiota and constructed a predictive model. The most significant finding was that Enterobacteriaceae, the predominant subtype, could be a new subtype of enterotypes in the Asian population.

Original languageEnglish
Article number932
JournalBMC Genomics
Volume18
DOIs
Publication statusPublished - Jan 25 2017

Keywords

  • 16S rDNA
  • Enterotype
  • Gut microbiome
  • Next-generation sequencing
  • Predictive model

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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