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Article . 2019 . Peer-reviewed
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Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks

Authors: Jang, Ho Bin; Bolduc, Benjamin; Zablocki, Olivier; Kuhn, Jens H.; Roux, Simon; Adriaenssens, Evelien M.; Brister, J. Rodney; +5 Authors

Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks

Abstract

Microbiomes from every environment contain a myriad of uncultivated archaeal and bacterial viruses, but studying these viruses is hampered by the lack of a universal, scalable taxonomic framework. We present vConTACT v.2.0, a network-based application utilizing whole genome gene-sharing profiles for virus taxonomy that integrates distance-based hierarchical clustering and confidence scores for all taxonomic predictions. We report near-identical (96%) replication of existing genus-level viral taxonomy assignments from the International Committee on Taxonomy of Viruses for National Center for Biotechnology Information virus RefSeq. Application of vConTACT v.2.0 to 1,364 previously unclassified viruses deposited in virus RefSeq as reference genomes produced automatic, high-confidence genus assignments for 820 of the 1,364. We applied vConTACT v.2.0 to analyze 15,280 Global Ocean Virome genome fragments and were able to provide taxonomic assignments for 31% of these data, which shows that our algorithm is scalable to very large metagenomic datasets. Our taxonomy tool can be automated and applied to metagenomes from any environment for virus classification.

Countries
Belgium, United States, France
Keywords

570, Classification and taxonomy, PHAGE, Genome, Viral, Microbiology, CLASSIFICATION, Genetics, TOOL, Bacteriophages, Gene Regulatory Networks, Viral, Phylogeny, [SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/Virology, virus classification, archaeal and bacterial virus taxonomy, scalable framework, gene-sharing networks, Genome, Science & Technology, ARCHAEAL VIRUSES, Biological Sciences, Classification, 004, Computational biology and bioinformatics, Infectious Diseases, Biotechnology & Applied Microbiology, Prokaryotic Cells, Viruses, EVOLUTIONARY, ICTV BACTERIAL, POPULATIONS, UPDATE, Metagenome, ECOGENOMICS, Centre for Research in Biosciences, Metagenomics, Infection, Life Sciences & Biomedicine, Software, Biotechnology, GENERATION

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    769
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
769
Top 0.1%
Top 1%
Top 0.1%
Green
bronze