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A computational method to dissect colonization resistance of the gut microbiota against pathogens
The mammalian gut microbiome protects the host through colonization resistance (CR) against the incursion of exogenous and often harmful microorganisms, but identifying the exact microbes responsible for the gut microbiota-mediated CR against a particular pathogen remains a challenge. To address thi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545914/ https://www.ncbi.nlm.nih.gov/pubmed/37751698 http://dx.doi.org/10.1016/j.crmeth.2023.100576 |
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author | Ke, Shanlin Xiao, Yandong Weiss, Scott T. Chen, Xinhua Kelly, Ciarán P. Liu, Yang-Yu |
author_facet | Ke, Shanlin Xiao, Yandong Weiss, Scott T. Chen, Xinhua Kelly, Ciarán P. Liu, Yang-Yu |
author_sort | Ke, Shanlin |
collection | PubMed |
description | The mammalian gut microbiome protects the host through colonization resistance (CR) against the incursion of exogenous and often harmful microorganisms, but identifying the exact microbes responsible for the gut microbiota-mediated CR against a particular pathogen remains a challenge. To address this limitation, we developed a computational method: generalized microbe-phenotype triangulation (GMPT). We first systematically validated GMPT using a classical population dynamics model in community ecology and demonstrated its superiority over baseline methods. We then tested GMPT on simulated data generated from the ecological network inferred from a real community (GnotoComplex microflora) and real microbiome data on two mouse studies on Clostridioides difficile infection. We demonstrated GMPT’s ability to streamline the discovery of microbes that are potentially responsible for microbiota-mediated CR against pathogens. GMPT holds promise to advance our understanding of CR mechanisms and facilitate the rational design of microbiome-based therapies for preventing and treating enteric infections. |
format | Online Article Text |
id | pubmed-10545914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105459142023-10-04 A computational method to dissect colonization resistance of the gut microbiota against pathogens Ke, Shanlin Xiao, Yandong Weiss, Scott T. Chen, Xinhua Kelly, Ciarán P. Liu, Yang-Yu Cell Rep Methods Article The mammalian gut microbiome protects the host through colonization resistance (CR) against the incursion of exogenous and often harmful microorganisms, but identifying the exact microbes responsible for the gut microbiota-mediated CR against a particular pathogen remains a challenge. To address this limitation, we developed a computational method: generalized microbe-phenotype triangulation (GMPT). We first systematically validated GMPT using a classical population dynamics model in community ecology and demonstrated its superiority over baseline methods. We then tested GMPT on simulated data generated from the ecological network inferred from a real community (GnotoComplex microflora) and real microbiome data on two mouse studies on Clostridioides difficile infection. We demonstrated GMPT’s ability to streamline the discovery of microbes that are potentially responsible for microbiota-mediated CR against pathogens. GMPT holds promise to advance our understanding of CR mechanisms and facilitate the rational design of microbiome-based therapies for preventing and treating enteric infections. Elsevier 2023-08-29 /pmc/articles/PMC10545914/ /pubmed/37751698 http://dx.doi.org/10.1016/j.crmeth.2023.100576 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Ke, Shanlin Xiao, Yandong Weiss, Scott T. Chen, Xinhua Kelly, Ciarán P. Liu, Yang-Yu A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title | A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title_full | A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title_fullStr | A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title_full_unstemmed | A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title_short | A computational method to dissect colonization resistance of the gut microbiota against pathogens |
title_sort | computational method to dissect colonization resistance of the gut microbiota against pathogens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545914/ https://www.ncbi.nlm.nih.gov/pubmed/37751698 http://dx.doi.org/10.1016/j.crmeth.2023.100576 |
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