TY - JOUR
T1 - Virus Taxonomy in the Age of Metagenomics
AU - Simmonds, Peter
AU - Adams, Mike
AU - Benkő, Mária
AU - Breitbart, Mya
AU - Brister, J. Rodney
AU - Carstens, Eric
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The number and diversity of viral sequences that are identified in metagenomic data far exceeds that of experimentally characterized virus isolates. In a recent workshop, a panel of experts discussed the proposal that, with appropriate quality control, viruses that are known only from metagenomic data can, and should be, incorporated into the official classification scheme of the International Committee on Taxonomy of Viruses (ICTV). Although a taxonomy that is based on metagenomic sequence data alone represents a substantial departure from the traditional reliance on phenotypic properties, the development of a robust framework for sequence-based virus taxonomy is indispensable for the comprehensive characterization of the global virome. In this Consensus Statement article, we consider the rationale for why metagenomic sequence data should, and how it can, be incorporated into the ICTV taxonomy, and present proposals that have been endorsed by the Executive Committee of the ICTV.
AB - The number and diversity of viral sequences that are identified in metagenomic data far exceeds that of experimentally characterized virus isolates. In a recent workshop, a panel of experts discussed the proposal that, with appropriate quality control, viruses that are known only from metagenomic data can, and should be, incorporated into the official classification scheme of the International Committee on Taxonomy of Viruses (ICTV). Although a taxonomy that is based on metagenomic sequence data alone represents a substantial departure from the traditional reliance on phenotypic properties, the development of a robust framework for sequence-based virus taxonomy is indispensable for the comprehensive characterization of the global virome. In this Consensus Statement article, we consider the rationale for why metagenomic sequence data should, and how it can, be incorporated into the ICTV taxonomy, and present proposals that have been endorsed by the Executive Committee of the ICTV.
UR - https://digitalcommons.usf.edu/msc_facpub/698
U2 - 10.1038/nrmicro.2016.177
DO - 10.1038/nrmicro.2016.177
M3 - Article
C2 - 28134265
VL - 15
JO - Nature Reviews Microbiology
JF - Nature Reviews Microbiology
ER -