Gene sharing networks to automate genome-based prokaryotic viral taxonomy
Abstract
Viruses of bacteria and archaea impact natural, engineered and human ecosystems, but their study is hampered by the lack of a universal or scalable taxonomic framework. Furthermore we introduce vConTACT v2.0, a network-based application to establish prokaryotic virus taxonomy that scales to thousands of uncultivated virus genomes, and integrates distance-based hierarchical clustering and confidence scores for all taxonomic predictions. Performance tests demonstrated significant improvements over the original tool and near-identical (96%) correspondence to current International Committee on Taxonomy of Viruses (ICTV) viral taxonomy where genus-level assignments are available. Beyond these “known viruses”, vConTACT v2.0 suggested automatic genus assignments for 1,364 previously unclassified reference viruses, with perfectly scoring assignments submitted as new taxonomic proposals to ICTV. Scaling experiments with 15,280 global ocean large viral genome fragments demonstrated that the reference network was rapidly scalable and robust to adding large-scale viral metagenomic datasets. Together these efforts provide a critically-needed, systematically classified reference network and an accurate, scalable, and automatable taxonomic analysis tool.
- Authors:
-
[1];
[3];
[4];
[7];
[8];
[1]
- The Ohio State Univ., Columbus, OH (United States)
- National Institutes of Health, Fort Detrick, Frederick, MD (United States)
- USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
- Univ. of Liverpool, Liverpool (United Kingdom)
- National Inst. of Health (NIH), Bethesda, MD (United States)
- Univ. of Guelph, Guelph, ON (Canada)
- Inst. Pasteur, Paris (France)
- Univ. of the West of England, Bristol (United Kingdom)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1569046
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Biotechnology
- Additional Journal Information:
- Journal Volume: 37; Journal Issue: 6; Journal ID: ISSN 1087-0156
- Publisher:
- Springer Nature
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 54 ENVIRONMENTAL SCIENCES
Citation Formats
Jang, Ho Bin, Bolduc, Benjamin, Zablocki, Olivier, Kuhn, Jens H., Roux, Simon, Adriaenssens, Evelien M., Brister, J. Rodney, Kropinski, Andrew M., Krupovic, Mart, Turner, Dann, and Sullivan, Matthew B. Gene sharing networks to automate genome-based prokaryotic viral taxonomy. United States: N. p., 2019.
Web. doi:10.1101/533240.
Jang, Ho Bin, Bolduc, Benjamin, Zablocki, Olivier, Kuhn, Jens H., Roux, Simon, Adriaenssens, Evelien M., Brister, J. Rodney, Kropinski, Andrew M., Krupovic, Mart, Turner, Dann, & Sullivan, Matthew B. Gene sharing networks to automate genome-based prokaryotic viral taxonomy. United States. https://doi.org/10.1101/533240
Jang, Ho Bin, Bolduc, Benjamin, Zablocki, Olivier, Kuhn, Jens H., Roux, Simon, Adriaenssens, Evelien M., Brister, J. Rodney, Kropinski, Andrew M., Krupovic, Mart, Turner, Dann, and Sullivan, Matthew B. Tue .
"Gene sharing networks to automate genome-based prokaryotic viral taxonomy". United States. https://doi.org/10.1101/533240. https://www.osti.gov/servlets/purl/1569046.
@article{osti_1569046,
title = {Gene sharing networks to automate genome-based prokaryotic viral taxonomy},
author = {Jang, Ho Bin and Bolduc, Benjamin and Zablocki, Olivier and Kuhn, Jens H. and Roux, Simon and Adriaenssens, Evelien M. and Brister, J. Rodney and Kropinski, Andrew M. and Krupovic, Mart and Turner, Dann and Sullivan, Matthew B.},
abstractNote = {Viruses of bacteria and archaea impact natural, engineered and human ecosystems, but their study is hampered by the lack of a universal or scalable taxonomic framework. Furthermore we introduce vConTACT v2.0, a network-based application to establish prokaryotic virus taxonomy that scales to thousands of uncultivated virus genomes, and integrates distance-based hierarchical clustering and confidence scores for all taxonomic predictions. Performance tests demonstrated significant improvements over the original tool and near-identical (96%) correspondence to current International Committee on Taxonomy of Viruses (ICTV) viral taxonomy where genus-level assignments are available. Beyond these “known viruses”, vConTACT v2.0 suggested automatic genus assignments for 1,364 previously unclassified reference viruses, with perfectly scoring assignments submitted as new taxonomic proposals to ICTV. Scaling experiments with 15,280 global ocean large viral genome fragments demonstrated that the reference network was rapidly scalable and robust to adding large-scale viral metagenomic datasets. Together these efforts provide a critically-needed, systematically classified reference network and an accurate, scalable, and automatable taxonomic analysis tool.},
doi = {10.1101/533240},
journal = {Nature Biotechnology},
number = 6,
volume = 37,
place = {United States},
year = {Tue Jan 29 00:00:00 EST 2019},
month = {Tue Jan 29 00:00:00 EST 2019}
}
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