4.7 Review

Virus taxonomy in the age of metagenomics

Journal

NATURE REVIEWS MICROBIOLOGY
Volume 15, Issue 3, Pages 161-168

Publisher

NATURE PORTFOLIO
DOI: 10.1038/nrmicro.2016.177

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Funding

  1. Wellcome Trust [WT108418AIA]
  2. Hungarian Scientific Research Fund (OTKA) [NN107632, K100163]
  3. European Union [653316]
  4. EU [FA1407]
  5. Mississippi State University (MSU)-Mississippi Agricultural and Forestry Experiment Station (MAFES) Strategic Research Initiative grants
  6. US National Heart, Lung, and Blood Institute (NHLBI) [R01 HL105770]
  7. Intramural Research Program of the US National Institutes of Health (NIH), US National Library of Medicine
  8. Assembling the Tree of Life Programme of the US National Science Foundation [DEB-1239976]
  9. Gordon and Betty Moore Foundation [3790]
  10. Battelle Memorial Institute
  11. US National Institute of Allergy and Infectious Diseases (NIAID) [HHSN272200700016I]
  12. MRC [MC_UU_12014/12, MC_UU_12014/3] Funding Source: UKRI
  13. Direct For Biological Sciences
  14. Division Of Environmental Biology [1239976] Funding Source: National Science Foundation
  15. Medical Research Council [MC_UU_12014/3, MC_UU_12014/12] Funding Source: researchfish

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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.

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