Cargando…

The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology

Bacteria and their viruses (phage) are fundamental drivers of many ecosystem processes including global biogeochemistry and horizontal gene transfer. While databases and resources for studying function in uncultured bacterial communities are relatively advanced, many fewer exist for their viral coun...

Descripción completa

Detalles Bibliográficos
Autores principales: Hurwitz, Bonnie L., Sullivan, Matthew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585363/
https://www.ncbi.nlm.nih.gov/pubmed/23468974
http://dx.doi.org/10.1371/journal.pone.0057355
_version_ 1782261156170170368
author Hurwitz, Bonnie L.
Sullivan, Matthew B.
author_facet Hurwitz, Bonnie L.
Sullivan, Matthew B.
author_sort Hurwitz, Bonnie L.
collection PubMed
description Bacteria and their viruses (phage) are fundamental drivers of many ecosystem processes including global biogeochemistry and horizontal gene transfer. While databases and resources for studying function in uncultured bacterial communities are relatively advanced, many fewer exist for their viral counterparts. The issue is largely technical in that the majority (often 90%) of viral sequences are functionally ‘unknown’ making viruses a virtually untapped resource of functional and physiological information. Here, we provide a community resource that organizes this unknown sequence space into 27 K high confidence protein clusters using 32 viral metagenomes from four biogeographic regions in the Pacific Ocean that vary by season, depth, and proximity to land, and include some of the first deep pelagic ocean viral metagenomes. These protein clusters more than double currently available viral protein clusters, including those from environmental datasets. Further, a protein cluster guided analysis of functional diversity revealed that richness decreased (i) from deep to surface waters, (ii) from winter to summer, (iii) and with distance from shore in surface waters only. These data provide a framework from which to draw on for future metadata-enabled functional inquiries of the vast viral unknown.
format Online
Article
Text
id pubmed-3585363
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-35853632013-03-06 The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology Hurwitz, Bonnie L. Sullivan, Matthew B. PLoS One Research Article Bacteria and their viruses (phage) are fundamental drivers of many ecosystem processes including global biogeochemistry and horizontal gene transfer. While databases and resources for studying function in uncultured bacterial communities are relatively advanced, many fewer exist for their viral counterparts. The issue is largely technical in that the majority (often 90%) of viral sequences are functionally ‘unknown’ making viruses a virtually untapped resource of functional and physiological information. Here, we provide a community resource that organizes this unknown sequence space into 27 K high confidence protein clusters using 32 viral metagenomes from four biogeographic regions in the Pacific Ocean that vary by season, depth, and proximity to land, and include some of the first deep pelagic ocean viral metagenomes. These protein clusters more than double currently available viral protein clusters, including those from environmental datasets. Further, a protein cluster guided analysis of functional diversity revealed that richness decreased (i) from deep to surface waters, (ii) from winter to summer, (iii) and with distance from shore in surface waters only. These data provide a framework from which to draw on for future metadata-enabled functional inquiries of the vast viral unknown. Public Library of Science 2013-02-28 /pmc/articles/PMC3585363/ /pubmed/23468974 http://dx.doi.org/10.1371/journal.pone.0057355 Text en © 2013 Hurwitz, Sullivan 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
Hurwitz, Bonnie L.
Sullivan, Matthew B.
The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title_full The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title_fullStr The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title_full_unstemmed The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title_short The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology
title_sort pacific ocean virome (pov): a marine viral metagenomic dataset and associated protein clusters for quantitative viral ecology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585363/
https://www.ncbi.nlm.nih.gov/pubmed/23468974
http://dx.doi.org/10.1371/journal.pone.0057355
work_keys_str_mv AT hurwitzbonniel thepacificoceanviromepovamarineviralmetagenomicdatasetandassociatedproteinclustersforquantitativeviralecology
AT sullivanmatthewb thepacificoceanviromepovamarineviralmetagenomicdatasetandassociatedproteinclustersforquantitativeviralecology
AT hurwitzbonniel pacificoceanviromepovamarineviralmetagenomicdatasetandassociatedproteinclustersforquantitativeviralecology
AT sullivanmatthewb pacificoceanviromepovamarineviralmetagenomicdatasetandassociatedproteinclustersforquantitativeviralecology