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Large-scale metabolic interaction network of the mouse and human gut microbiota
The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microb...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320173/ https://www.ncbi.nlm.nih.gov/pubmed/32591517 http://dx.doi.org/10.1038/s41597-020-0516-5 |
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author | Lim, Roktaek Cabatbat, Josephine Jill T. Martin, Thomas L. P. Kim, Haneul Kim, Seunghyeon Sung, Jaeyun Ghim, Cheol-Min Kim, Pan-Jun |
author_facet | Lim, Roktaek Cabatbat, Josephine Jill T. Martin, Thomas L. P. Kim, Haneul Kim, Seunghyeon Sung, Jaeyun Ghim, Cheol-Min Kim, Pan-Jun |
author_sort | Lim, Roktaek |
collection | PubMed |
description | The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not. Here, we constructed a literature-curated, interspecies network of the mammalian gut microbiota for mouse and human hosts, called NJC19. This network is an extensive data resource, encompassing 838 microbial species (766 bacteria, 53 archaea, and 19 eukaryotes) and 6 host cell types, interacting through 8,224 small-molecule transport and macromolecule degradation events. Moreover, we compiled 912 negative associations between organisms and metabolic compounds that are not transportable or degradable by those organisms. Our network may facilitate experimental and computational endeavors for the mechanistic investigations of host-associated microbial communities. |
format | Online Article Text |
id | pubmed-7320173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73201732020-06-30 Large-scale metabolic interaction network of the mouse and human gut microbiota Lim, Roktaek Cabatbat, Josephine Jill T. Martin, Thomas L. P. Kim, Haneul Kim, Seunghyeon Sung, Jaeyun Ghim, Cheol-Min Kim, Pan-Jun Sci Data Data Descriptor The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not. Here, we constructed a literature-curated, interspecies network of the mammalian gut microbiota for mouse and human hosts, called NJC19. This network is an extensive data resource, encompassing 838 microbial species (766 bacteria, 53 archaea, and 19 eukaryotes) and 6 host cell types, interacting through 8,224 small-molecule transport and macromolecule degradation events. Moreover, we compiled 912 negative associations between organisms and metabolic compounds that are not transportable or degradable by those organisms. Our network may facilitate experimental and computational endeavors for the mechanistic investigations of host-associated microbial communities. Nature Publishing Group UK 2020-06-26 /pmc/articles/PMC7320173/ /pubmed/32591517 http://dx.doi.org/10.1038/s41597-020-0516-5 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article. |
spellingShingle | Data Descriptor Lim, Roktaek Cabatbat, Josephine Jill T. Martin, Thomas L. P. Kim, Haneul Kim, Seunghyeon Sung, Jaeyun Ghim, Cheol-Min Kim, Pan-Jun Large-scale metabolic interaction network of the mouse and human gut microbiota |
title | Large-scale metabolic interaction network of the mouse and human gut microbiota |
title_full | Large-scale metabolic interaction network of the mouse and human gut microbiota |
title_fullStr | Large-scale metabolic interaction network of the mouse and human gut microbiota |
title_full_unstemmed | Large-scale metabolic interaction network of the mouse and human gut microbiota |
title_short | Large-scale metabolic interaction network of the mouse and human gut microbiota |
title_sort | large-scale metabolic interaction network of the mouse and human gut microbiota |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320173/ https://www.ncbi.nlm.nih.gov/pubmed/32591517 http://dx.doi.org/10.1038/s41597-020-0516-5 |
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