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台湾成年人肠道细菌群落的多样性与肠型

Diversity and enterotype in gut bacterial community of adults in Taiwan.

作者信息

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

机构信息

Institute of Bioinformatics and Systems Biology, National Chiao Tung University, HsinChu, Taiwan.

Tseng Han-Chi's General Hospital, Nantou, Taiwan.

出版信息

BMC Genomics. 2017 Jan 25;18(Suppl 1):932. doi: 10.1186/s12864-016-3261-6.

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.

摘要

背景

胃肠道微生物群,尤其是肠道微生物群,与人类健康相关。肠道微生物群的生物多样性受种族以及饮食习惯或药物摄入等环境因素的影响,2011年公布了人类肠道微生物组的三种肠型。这些肠型与性别、年龄或体重无显著相关性,但受长期饮食习惯的影响。然而,迄今为止,在以往研究中只有两种肠型(主要由拟杆菌属和普氏菌属组成)表现出这些特征;第三种肠型仍不明确。了解肠型有助于增进对微生物群与人类健康之间关系的认识。

结果

我们从台湾成年人中获取了181份人类粪便样本。使用下一代测序(NGS)技术分析微生物群组成,这是一种通过对16S核糖体DNA(rDNA)进行测序来构建微生物群落图谱的非培养方法。在这些样本中,共测序了17,675,898条测序读数,每个样本平均鉴定出215个可操作分类单元(OTU)。在本研究中,从粪便样本中鉴定出的肠型中的主要细菌为拟杆菌属、普氏菌属和肠杆菌科,并证实了它们与饮食习惯的相关性。基于短链脂肪酸的含量、肠道pH值和细菌群落组成(肠型)观察到肠道中的微生物相互作用网络。最后,推导了一个决策树以提供三种肠型的预测模型。该模型在训练集和独立测试集中的准确率分别为97.2%和84.0%。

结论

我们使用NGS技术对微生物群进行了表征并构建了一个预测模型。最显著的发现是,占主导地位的亚型肠杆菌科可能是亚洲人群中肠型的一种新亚型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e4/5310273/d4acbe15db98/12864_2016_3261_Fig1_HTML.jpg

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