Cargando…
Understanding Horizontal Gene Transfer network in human gut microbiota
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 netw...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346641/ https://www.ncbi.nlm.nih.gov/pubmed/32670414 http://dx.doi.org/10.1186/s13099-020-00370-9 |
_version_ | 1783556437997256704 |
---|---|
author | Li, Chen Chen, Jiaxing Li, Shuai Cheng |
author_facet | Li, Chen Chen, Jiaxing Li, Shuai Cheng |
author_sort | Li, Chen |
collection | PubMed |
description | 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[Formula: see text] ) and Actinobacteria (p-value = 0.0015), and the mothers host highly abundant communities of Firmicutes (p-value = 8.0091[Formula: see text] ). 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. |
format | Online Article Text |
id | pubmed-7346641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73466412020-07-14 Understanding Horizontal Gene Transfer network in human gut microbiota Li, Chen Chen, Jiaxing Li, Shuai Cheng Gut Pathog Research 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[Formula: see text] ) and Actinobacteria (p-value = 0.0015), and the mothers host highly abundant communities of Firmicutes (p-value = 8.0091[Formula: see text] ). 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. BioMed Central 2020-07-09 /pmc/articles/PMC7346641/ /pubmed/32670414 http://dx.doi.org/10.1186/s13099-020-00370-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Chen Chen, Jiaxing Li, Shuai Cheng Understanding Horizontal Gene Transfer network in human gut microbiota |
title | Understanding Horizontal Gene Transfer network in human gut microbiota |
title_full | Understanding Horizontal Gene Transfer network in human gut microbiota |
title_fullStr | Understanding Horizontal Gene Transfer network in human gut microbiota |
title_full_unstemmed | Understanding Horizontal Gene Transfer network in human gut microbiota |
title_short | Understanding Horizontal Gene Transfer network in human gut microbiota |
title_sort | understanding horizontal gene transfer network in human gut microbiota |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346641/ https://www.ncbi.nlm.nih.gov/pubmed/32670414 http://dx.doi.org/10.1186/s13099-020-00370-9 |
work_keys_str_mv | AT lichen understandinghorizontalgenetransfernetworkinhumangutmicrobiota AT chenjiaxing understandinghorizontalgenetransfernetworkinhumangutmicrobiota AT lishuaicheng understandinghorizontalgenetransfernetworkinhumangutmicrobiota |