发表状态 | 已发表Published |
题名 | Understanding Horizontal Gene Transfer network in human gut microbiota |
作者 | |
发表日期 | 2020-07-09 |
发表期刊 | Gut Pathogens
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ISSN/eISSN | 1757-4749 |
卷号 | 12期号:1 |
摘要 | Background: Horizontal Gene Transfer (HGT) is the process of transferring genetic materials between species. Through sharing genetic materials, microorganisms in the human microbiota form a network. The network can provide insights into understanding the microbiota. Here, we constructed the HGT networks from the gut microbiota sequencing data and performed network analysis to characterize the HGT networks of gut microbiota. Results: We constructed the HGT network and perform the network analysis to two typical gut microbiota datasets, a 283-sample dataset of Mother-to-Child and a 148-sample dataset of longitudinal inflammatory bowel disease (IBD) metagenome. The results indicated that (1) the HGT networks are scale-free. (2) The networks expand their complexities, sizes, and edge numbers, accompanying the early stage of lives; and microbiota established in children shared high similarity as their mother (p-value = 0.0138), supporting the transmission of microbiota from mother to child. (3) Groups harbor group-specific network edges, and network communities, which can potentially serve as biomarkers. For instances, IBD patient group harbors highly abundant communities of Proteobacteria (p-value = 0.0194) and Actinobacteria (p-value = 0.0316); children host highly abundant communities of Proteobacteria (p-value = 2.8785 $$e^{-5}$$ e - 5) and Actinobacteria (p-value = 0.0015), and the mothers host highly abundant communities of Firmicutes (p-value = 8.0091 $$e^{-7}$$ e - 7). IBD patient networks contain more HGT edges in pathogenic genus, including Mycobacterium, Sutterella, and Pseudomonas. Children's networks contain more edges from Bifidobacterium and Escherichia. Conclusion: Hence, we proposed the HGT network constructions from the gut microbiota sequencing data. The HGT networks capture the host state and the response of microbiota to the environmental and host changes, and they are essential to understand the human microbiota. |
关键词 | Community analysis HGT network Network evolving Scale free Von Newman entropy |
DOI | 10.1186/s13099-020-00370-9 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Gastroenterology & Hepatology ; Microbiology |
WOS类目 | Gastroenterology & Hepatology ; Microbiology |
WOS记录号 | WOS:000551914000001 |
Scopus入藏号 | 2-s2.0-85088399885 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9046 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Li, Shuai Cheng |
作者单位 | Department of Computer Science,City University of Hong Kong,Hong Kong,Hong Kong |
推荐引用方式 GB/T 7714 | Li, Chen,Chen, Jiaxing,Li, Shuai Cheng. Understanding Horizontal Gene Transfer network in human gut microbiota[J]. Gut Pathogens, 2020, 12(1). |
APA | Li, Chen, Chen, Jiaxing, & Li, Shuai Cheng. (2020). Understanding Horizontal Gene Transfer network in human gut microbiota. Gut Pathogens, 12(1). |
MLA | Li, Chen,et al."Understanding Horizontal Gene Transfer network in human gut microbiota". Gut Pathogens 12.1(2020). |
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