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Glycoside Hydrolases across Environmental Microbial Communities

Across many environments microbial glycoside hydrolases support the enzymatic processing of carbohydrates, a critical function in many ecosystems. Little is known about how the microbial composition of a community and the potential for carbohydrate processing relate to each other. Here, using 1,934...

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Detalles Bibliográficos
Autores principales: Berlemont, Renaud, Martiny, Adam C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5218504/
https://www.ncbi.nlm.nih.gov/pubmed/27992426
http://dx.doi.org/10.1371/journal.pcbi.1005300
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author Berlemont, Renaud
Martiny, Adam C.
author_facet Berlemont, Renaud
Martiny, Adam C.
author_sort Berlemont, Renaud
collection PubMed
description Across many environments microbial glycoside hydrolases support the enzymatic processing of carbohydrates, a critical function in many ecosystems. Little is known about how the microbial composition of a community and the potential for carbohydrate processing relate to each other. Here, using 1,934 metagenomic datasets, we linked changes in community composition to variation of potential for carbohydrate processing across environments. We were able to show that each ecosystem-type displays a specific potential for carbohydrate utilization. Most of this potential was associated with just 77 bacterial genera. The GH content in bacterial genera is best described by their taxonomic affiliation. Across metagenomes, fluctuations of the microbial community structure and GH potential for carbohydrate utilization were correlated. Our analysis reveals that both deterministic and stochastic processes contribute to the assembly of complex microbial communities.
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spelling pubmed-52185042017-01-19 Glycoside Hydrolases across Environmental Microbial Communities Berlemont, Renaud Martiny, Adam C. PLoS Comput Biol Research Article Across many environments microbial glycoside hydrolases support the enzymatic processing of carbohydrates, a critical function in many ecosystems. Little is known about how the microbial composition of a community and the potential for carbohydrate processing relate to each other. Here, using 1,934 metagenomic datasets, we linked changes in community composition to variation of potential for carbohydrate processing across environments. We were able to show that each ecosystem-type displays a specific potential for carbohydrate utilization. Most of this potential was associated with just 77 bacterial genera. The GH content in bacterial genera is best described by their taxonomic affiliation. Across metagenomes, fluctuations of the microbial community structure and GH potential for carbohydrate utilization were correlated. Our analysis reveals that both deterministic and stochastic processes contribute to the assembly of complex microbial communities. Public Library of Science 2016-12-19 /pmc/articles/PMC5218504/ /pubmed/27992426 http://dx.doi.org/10.1371/journal.pcbi.1005300 Text en © 2016 Berlemont, Martiny 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
Berlemont, Renaud
Martiny, Adam C.
Glycoside Hydrolases across Environmental Microbial Communities
title Glycoside Hydrolases across Environmental Microbial Communities
title_full Glycoside Hydrolases across Environmental Microbial Communities
title_fullStr Glycoside Hydrolases across Environmental Microbial Communities
title_full_unstemmed Glycoside Hydrolases across Environmental Microbial Communities
title_short Glycoside Hydrolases across Environmental Microbial Communities
title_sort glycoside hydrolases across environmental microbial communities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5218504/
https://www.ncbi.nlm.nih.gov/pubmed/27992426
http://dx.doi.org/10.1371/journal.pcbi.1005300
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