Nature Communications (Aug 2021)
An omics-based framework for assessing the health risk of antimicrobial resistance genes
- 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
Affiliations
- An-Ni Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong
- Jeffry M. Gaston
- Chengzhen L. Dai
- Department of Biological Engineering, Massachusetts Institute of Technology
- Shijie Zhao
- Department of Biological Engineering, Massachusetts Institute of Technology
- Mathilde Poyet
- Department of Biological Engineering, Massachusetts Institute of Technology
- Mathieu Groussin
- Department of Biological Engineering, Massachusetts Institute of Technology
- Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong
- Li-Guan Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong
- Mark C. M. van Loosdrecht
- Department of Biotechnology, Delft University of Technology
- Edward Topp
- London Research and Development Centre (LRDC), Agriculture and Agri-Food Canada
- Michael R. Gillings
- Department of Biological Sciences, Macquarie University
- William P. Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health
- James M. Tiedje
- Department of Plant, Soil and Microbial Sciences and of Microbiology and Molecular Genetics, Michigan State University
- Katya Moniz
- Department of Biological Engineering, Massachusetts Institute of Technology
- Eric J. Alm
- Department of Biological Engineering, Massachusetts Institute of Technology
- Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong
- DOI
- https://doi.org/10.1038/s41467-021-25096-3
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 11
Abstract
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.
