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Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition

Phylogenetic profiling has been widely used for comparing bacterial communities, but has so far been impossible to apply to viruses because of the lack of a single marker gene analogous to 16S rRNA. Here we developed a reference tree approach for matching viral sequences and applied it to the larges...

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Detalles Bibliográficos
Autores principales: Caporaso, J. Gregory, Knight, Rob, Kelley, Scott T.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044705/
https://www.ncbi.nlm.nih.gov/pubmed/21383980
http://dx.doi.org/10.1371/journal.pone.0016900
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author Caporaso, J. Gregory
Knight, Rob
Kelley, Scott T.
author_facet Caporaso, J. Gregory
Knight, Rob
Kelley, Scott T.
author_sort Caporaso, J. Gregory
collection PubMed
description Phylogenetic profiling has been widely used for comparing bacterial communities, but has so far been impossible to apply to viruses because of the lack of a single marker gene analogous to 16S rRNA. Here we developed a reference tree approach for matching viral sequences and applied it to the largest viral datasets available. The resulting technique, Shotgun UniFrac, was used to compare host-associated and non-host-associated phage communities (130 total metagenomes), and revealed a profound split similar to that found with bacterial communities. This new informatics approach complements analysis of bacterial communities and promises to provide new insights into viral community dynamics, such as top-down versus bottom-up control of bacterial communities by viruses in a range of systems.
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spelling pubmed-30447052011-03-07 Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition Caporaso, J. Gregory Knight, Rob Kelley, Scott T. PLoS One Research Article Phylogenetic profiling has been widely used for comparing bacterial communities, but has so far been impossible to apply to viruses because of the lack of a single marker gene analogous to 16S rRNA. Here we developed a reference tree approach for matching viral sequences and applied it to the largest viral datasets available. The resulting technique, Shotgun UniFrac, was used to compare host-associated and non-host-associated phage communities (130 total metagenomes), and revealed a profound split similar to that found with bacterial communities. This new informatics approach complements analysis of bacterial communities and promises to provide new insights into viral community dynamics, such as top-down versus bottom-up control of bacterial communities by viruses in a range of systems. Public Library of Science 2011-02-24 /pmc/articles/PMC3044705/ /pubmed/21383980 http://dx.doi.org/10.1371/journal.pone.0016900 Text en Caporaso 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Caporaso, J. Gregory
Knight, Rob
Kelley, Scott T.
Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title_full Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title_fullStr Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title_full_unstemmed Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title_short Host-Associated and Free-Living Phage Communities Differ Profoundly in Phylogenetic Composition
title_sort host-associated and free-living phage communities differ profoundly in phylogenetic composition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044705/
https://www.ncbi.nlm.nih.gov/pubmed/21383980
http://dx.doi.org/10.1371/journal.pone.0016900
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