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Toward a Universal Unit for Quantification of Antibiotic Resistance Genes in Environmental Samples

Authors :
Yin, Xiaole
Chen, Xi
Jiang, Xiao-Tao
Yang, Ying
Li, Bing
Shum, Marcus Ho-Hin
Lam, Tommy T. Y.
Leung, Gabriel M.
Rose, Joan
Sanchez-Cid, Concepcion
Vogel, Timothy M.
Walsh, Fiona
Berendonk, Thomas U.
Midega, Janet
Uchea, Chibuzor
Frigon, Dominic
Wright, Gerard D.
Bezuidenhout, Carlos
Picão, Renata C.
Ahammad, Shaikh Z.
Nielsen, Per Halkjær
Hugenholtz, Philip
Ashbolt, Nicholas J.
Corno, Gianluca
Fatta-Kassinos, Despo
Bürgmann, Helmut
Schmitt, Heike
Cha, Chang-Jun
Pruden, Amy
Smalla, Kornelia
Cytryn, Eddie
Zhang, Yu
Yang, Min
Zhu, Yong-Guan
Dechesne, Arnaud
Smets, Barth F.
Graham, David W.
Gillings, Michael R.
Gaze, William H.
Manaia, Célia M.
van Loosdrecht, Mark C. M.
Alvarez, Pedro J. J.
Blaser, Martin J.
Tiedje, James M.
Topp, Edward
Zhang, Tong
Source :
Environmental Science & Technology; 20230101, Issue: Preprints
Publication Year :
2023

Abstract

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.

Details

Language :
English
ISSN :
0013936X and 15205851
Issue :
Preprints
Database :
Supplemental Index
Journal :
Environmental Science & Technology
Publication Type :
Periodical
Accession number :
ejs63288200
Full Text :
https://doi.org/10.1021/acs.est.3c00159