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Variable habitat conditions drive species covariation in the human microbiota

Two species with similar resource requirements respond in a characteristic way to variations in their habitat—their abundances rise and fall in concert. We use this idea to learn how bacterial populations in the microbiota respond to habitat conditions that vary from person-to-person across the huma...

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Detalles Bibliográficos
Autores principales: Fisher, Charles K., Mora, Thierry, Walczak, Aleksandra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407567/
https://www.ncbi.nlm.nih.gov/pubmed/28448493
http://dx.doi.org/10.1371/journal.pcbi.1005435
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author Fisher, Charles K.
Mora, Thierry
Walczak, Aleksandra M.
author_facet Fisher, Charles K.
Mora, Thierry
Walczak, Aleksandra M.
author_sort Fisher, Charles K.
collection PubMed
description Two species with similar resource requirements respond in a characteristic way to variations in their habitat—their abundances rise and fall in concert. We use this idea to learn how bacterial populations in the microbiota respond to habitat conditions that vary from person-to-person across the human population. Our mathematical framework shows that habitat fluctuations are sufficient for explaining intra-bodysite correlations in relative species abundances from the Human Microbiome Project. We explicitly show that the relative abundances of closely related species are positively correlated and can be predicted from taxonomic relationships. We identify a small set of functional pathways related to metabolism and maintenance of the cell wall that form the basis of a common resource sharing niche space of the human microbiota.
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spelling pubmed-54075672017-05-14 Variable habitat conditions drive species covariation in the human microbiota Fisher, Charles K. Mora, Thierry Walczak, Aleksandra M. PLoS Comput Biol Research Article Two species with similar resource requirements respond in a characteristic way to variations in their habitat—their abundances rise and fall in concert. We use this idea to learn how bacterial populations in the microbiota respond to habitat conditions that vary from person-to-person across the human population. Our mathematical framework shows that habitat fluctuations are sufficient for explaining intra-bodysite correlations in relative species abundances from the Human Microbiome Project. We explicitly show that the relative abundances of closely related species are positively correlated and can be predicted from taxonomic relationships. We identify a small set of functional pathways related to metabolism and maintenance of the cell wall that form the basis of a common resource sharing niche space of the human microbiota. Public Library of Science 2017-04-27 /pmc/articles/PMC5407567/ /pubmed/28448493 http://dx.doi.org/10.1371/journal.pcbi.1005435 Text en © 2017 Fisher et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fisher, Charles K.
Mora, Thierry
Walczak, Aleksandra M.
Variable habitat conditions drive species covariation in the human microbiota
title Variable habitat conditions drive species covariation in the human microbiota
title_full Variable habitat conditions drive species covariation in the human microbiota
title_fullStr Variable habitat conditions drive species covariation in the human microbiota
title_full_unstemmed Variable habitat conditions drive species covariation in the human microbiota
title_short Variable habitat conditions drive species covariation in the human microbiota
title_sort variable habitat conditions drive species covariation in the human microbiota
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407567/
https://www.ncbi.nlm.nih.gov/pubmed/28448493
http://dx.doi.org/10.1371/journal.pcbi.1005435
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