An omics-based framework for assessing the health risk of antimicrobial resistance genes

Autor: An-Ni Zhang, Jeffry M. Gaston, Chengzhen L. Dai, Shijie Zhao, Mathilde Poyet, Mathieu Groussin, Xiaole Yin, Li-Guan Li, Mark C. M. van Loosdrecht, Edward Topp, Michael R. Gillings, William P. Hanage, James M. Tiedje, Katya Moniz, Eric J. Alm, Tong Zhang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-25096-3
Popis: Antibiotic resistance genes are common but not all are of high risk to human health. Here, the authors develop an omics-based framework for ranking genes by risk that incorporates level of enrichment in human associated environments, gene mobility, and host pathogenicity.
Databáze: Directory of Open Access Journals