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vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria
Taxonomic classification of archaeal and bacterial viruses is challenging, yet also fundamental for developing a predictive understanding of microbial ecosystems. Recent identification of hundreds of thousands of new viral genomes and genome fragments, whose hosts remain unknown, requires a paradigm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419219/ https://www.ncbi.nlm.nih.gov/pubmed/28480138 http://dx.doi.org/10.7717/peerj.3243 |
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author | Bolduc, Benjamin Jang, Ho Bin Doulcier, Guilhem You, Zhi-Qiang Roux, Simon Sullivan, Matthew B. |
author_facet | Bolduc, Benjamin Jang, Ho Bin Doulcier, Guilhem You, Zhi-Qiang Roux, Simon Sullivan, Matthew B. |
author_sort | Bolduc, Benjamin |
collection | PubMed |
description | Taxonomic classification of archaeal and bacterial viruses is challenging, yet also fundamental for developing a predictive understanding of microbial ecosystems. Recent identification of hundreds of thousands of new viral genomes and genome fragments, whose hosts remain unknown, requires a paradigm shift away from traditional classification approaches and towards the use of genomes for taxonomy. Here we revisited the use of genomes and their protein content as a means for developing a viral taxonomy for bacterial and archaeal viruses. A network-based analytic was evaluated and benchmarked against authority-accepted taxonomic assignments and found to be largely concordant. Exceptions were manually examined and found to represent areas of viral genome ‘sequence space’ that are under-sampled or prone to excessive genetic exchange. While both cases are poorly resolved by genome-based taxonomic approaches, the former will improve as viral sequence space is better sampled and the latter are uncommon. Finally, given the largely robust taxonomic capabilities of this approach, we sought to enable researchers to easily and systematically classify new viruses. Thus, we established a tool, vConTACT, as an app at iVirus, where it operates as a fast, highly scalable, user-friendly app within the free and powerful CyVerse cyberinfrastructure. |
format | Online Article Text |
id | pubmed-5419219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54192192017-05-05 vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria Bolduc, Benjamin Jang, Ho Bin Doulcier, Guilhem You, Zhi-Qiang Roux, Simon Sullivan, Matthew B. PeerJ Bioinformatics Taxonomic classification of archaeal and bacterial viruses is challenging, yet also fundamental for developing a predictive understanding of microbial ecosystems. Recent identification of hundreds of thousands of new viral genomes and genome fragments, whose hosts remain unknown, requires a paradigm shift away from traditional classification approaches and towards the use of genomes for taxonomy. Here we revisited the use of genomes and their protein content as a means for developing a viral taxonomy for bacterial and archaeal viruses. A network-based analytic was evaluated and benchmarked against authority-accepted taxonomic assignments and found to be largely concordant. Exceptions were manually examined and found to represent areas of viral genome ‘sequence space’ that are under-sampled or prone to excessive genetic exchange. While both cases are poorly resolved by genome-based taxonomic approaches, the former will improve as viral sequence space is better sampled and the latter are uncommon. Finally, given the largely robust taxonomic capabilities of this approach, we sought to enable researchers to easily and systematically classify new viruses. Thus, we established a tool, vConTACT, as an app at iVirus, where it operates as a fast, highly scalable, user-friendly app within the free and powerful CyVerse cyberinfrastructure. PeerJ Inc. 2017-05-03 /pmc/articles/PMC5419219/ /pubmed/28480138 http://dx.doi.org/10.7717/peerj.3243 Text en ©2017 Bolduc 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Bolduc, Benjamin Jang, Ho Bin Doulcier, Guilhem You, Zhi-Qiang Roux, Simon Sullivan, Matthew B. vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title | vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title_full | vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title_fullStr | vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title_full_unstemmed | vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title_short | vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria |
title_sort | vcontact: an ivirus tool to classify double-stranded dna viruses that infect archaea and bacteria |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419219/ https://www.ncbi.nlm.nih.gov/pubmed/28480138 http://dx.doi.org/10.7717/peerj.3243 |
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