Genomic signatures for predicting the zoonotic potential of novel viruses

Jason T Ladner

doi:10.1371/journal.pbio.3001403

Genomic signatures for predicting the zoonotic potential of novel viruses

PLoS Biol. 2021 Sep 29;19(9):e3001403. doi: 10.1371/journal.pbio.3001403. eCollection 2021 Sep.

Author

Jason T Ladner¹

Affiliation

¹ The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.

Abstract

Powered by metagenomics, viral discovery is outpacing our capacity for the downstream characterization needed to fully assess zoonotic potential. A study published in PLOS Biology uses machine learning to prioritize novel viruses based only on genomic signatures.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Genome, Viral / genetics
Machine Learning
Metagenomics
Viruses* / genetics

Grants and funding

JTL was supported by the State of Arizona Technology and Research Initiative Fund (TRIF), administered by the Arizona Board of Regents, through Northern Arizona University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.