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Lookup NU author(s): Professor David GrahamORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Surveillance of antibiotic resistance genes (ARGs) has been increasingly conducted in environmental sectors to complement the surveys in human and animal sectors under the “One-Health” framework. However, there are substantial challenges in comparing and synthesizing the results of multiple studies that employ different test methods and approaches in bioinformatic analysis. In this article, we consider the commonly used quantification units (ARG copy per cell, ARG copy per genome, ARG density, ARG copy per 16S rRNA gene, RPKM, coverage, PPM, etc.) for profiling ARGs and suggest a universal unit (ARG copy per cell) for reporting such biological measurements of samples and improving the comparability of different surveillance efforts.
Author(s): Yin X, Chen X, Jiang XT, Yang Y, Li B, Shum MHH, Lam TTY, Leung GM, Rose J, SanchezCid C, Vogel TM, Walsh F, Berendonk TU, Midega J, Uchea C, Frigon D, Wright GD, Bezuidenhout C, Picao RC, Ahammad SZ, Nielsen PH, Hugenholtz P, Ashbolt NJ, Corno G, FattaKassinos D, Burgmann H, Schmitt H, Cha HJ, Pruden A, Smalla K, Cytryn E, Zhang Y, Yang M, Zhu YG, Dechesne A, Smets BF, Graham DW, Gillings MR, Gaze WH, Manaia CM, Loosdrecht MCM, Alvarez PJJ, Blaser MJ, Tiedje JM, Topp E, Zhang T
Publication type: Article
Publication status: Published
Journal: Environmental Science & Technology
Year: 2023
Volume: 57
Issue: 26
Pages: 9713-9721
Print publication date: 04/07/2023
Online publication date: 13/06/2023
Acceptance date: 22/05/2023
Date deposited: 30/08/2023
ISSN (print): 0013-936X
ISSN (electronic): 1520-5851
Publisher: American Chemical Society
URL: https://doi.org/10.1021/acs.est.3c00159
DOI: 10.1021/acs.est.3c00159
ePrints DOI: 10.57711/w9j7-k737
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