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Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics
Functional redundancy is a key ecosystem property representing the fact that different taxa contribute to an ecosystem in similar ways through the expression of redundant functions. The redundancy of potential functions (or genome-level functional redundancy [Formula: see text] ) of human microbiome...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257714/ https://www.ncbi.nlm.nih.gov/pubmed/37301875 http://dx.doi.org/10.1038/s41467-023-39149-2 |
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author | Li, Leyuan Wang, Tong Ning, Zhibin Zhang, Xu Butcher, James Serrana, Joeselle M. Simopoulos, Caitlin M. A. Mayne, Janice Stintzi, Alain Mack, David R. Liu, Yang-Yu Figeys, Daniel |
author_facet | Li, Leyuan Wang, Tong Ning, Zhibin Zhang, Xu Butcher, James Serrana, Joeselle M. Simopoulos, Caitlin M. A. Mayne, Janice Stintzi, Alain Mack, David R. Liu, Yang-Yu Figeys, Daniel |
author_sort | Li, Leyuan |
collection | PubMed |
description | Functional redundancy is a key ecosystem property representing the fact that different taxa contribute to an ecosystem in similar ways through the expression of redundant functions. The redundancy of potential functions (or genome-level functional redundancy [Formula: see text] ) of human microbiomes has been recently quantified using metagenomics data. Yet, the redundancy of expressed functions in the human microbiome has never been quantitatively explored. Here, we present an approach to quantify the proteome-level functional redundancy [Formula: see text] in the human gut microbiome using metaproteomics. Ultra-deep metaproteomics reveals high proteome-level functional redundancy and high nestedness in the human gut proteomic content networks (i.e., the bipartite graphs connecting taxa to functions). We find that the nested topology of proteomic content networks and relatively small functional distances between proteomes of certain pairs of taxa together contribute to high [Formula: see text] in the human gut microbiome. As a metric comprehensively incorporating the factors of presence/absence of each function, protein abundances of each function and biomass of each taxon, [Formula: see text] outcompetes diversity indices in detecting significant microbiome responses to environmental factors, including individuality, biogeography, xenobiotics, and disease. We show that gut inflammation and exposure to specific xenobiotics can significantly diminish the [Formula: see text] with no significant change in taxonomic diversity. |
format | Online Article Text |
id | pubmed-10257714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102577142023-06-12 Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics Li, Leyuan Wang, Tong Ning, Zhibin Zhang, Xu Butcher, James Serrana, Joeselle M. Simopoulos, Caitlin M. A. Mayne, Janice Stintzi, Alain Mack, David R. Liu, Yang-Yu Figeys, Daniel Nat Commun Article Functional redundancy is a key ecosystem property representing the fact that different taxa contribute to an ecosystem in similar ways through the expression of redundant functions. The redundancy of potential functions (or genome-level functional redundancy [Formula: see text] ) of human microbiomes has been recently quantified using metagenomics data. Yet, the redundancy of expressed functions in the human microbiome has never been quantitatively explored. Here, we present an approach to quantify the proteome-level functional redundancy [Formula: see text] in the human gut microbiome using metaproteomics. Ultra-deep metaproteomics reveals high proteome-level functional redundancy and high nestedness in the human gut proteomic content networks (i.e., the bipartite graphs connecting taxa to functions). We find that the nested topology of proteomic content networks and relatively small functional distances between proteomes of certain pairs of taxa together contribute to high [Formula: see text] in the human gut microbiome. As a metric comprehensively incorporating the factors of presence/absence of each function, protein abundances of each function and biomass of each taxon, [Formula: see text] outcompetes diversity indices in detecting significant microbiome responses to environmental factors, including individuality, biogeography, xenobiotics, and disease. We show that gut inflammation and exposure to specific xenobiotics can significantly diminish the [Formula: see text] with no significant change in taxonomic diversity. Nature Publishing Group UK 2023-06-10 /pmc/articles/PMC10257714/ /pubmed/37301875 http://dx.doi.org/10.1038/s41467-023-39149-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Leyuan Wang, Tong Ning, Zhibin Zhang, Xu Butcher, James Serrana, Joeselle M. Simopoulos, Caitlin M. A. Mayne, Janice Stintzi, Alain Mack, David R. Liu, Yang-Yu Figeys, Daniel Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title | Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title_full | Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title_fullStr | Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title_full_unstemmed | Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title_short | Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
title_sort | revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257714/ https://www.ncbi.nlm.nih.gov/pubmed/37301875 http://dx.doi.org/10.1038/s41467-023-39149-2 |
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