Global environmental resistome: Distinction and connectivity across diverse habitats benchmarked by metagenomic analyses

Xiaole YIN, Liguan LI, Xi CHEN, Yang-Yu LIU, Tommy Tsan-Yuk LAM, Edward TOPP, Tong ZHANG

Research output: Contribution to journalArticlespeer-review

10 Citations (Scopus)

Abstract

The widely distributed antibiotic resistance genes (ARGs) were unevenly proliferated in various habitats. Great endeavors are needed to resolve the resistome features that can differentiate or connect different habitats. This study retrieved a broad spectrum of resistome profiles from 1723 metagenomes categorized into 13 habitats, encompassing industrial, urban, agricultural, and natural environments, and spanning most continents and oceans. The resistome features (ARG types, subtypes, indicator ARGs, and emerging mobilizable ARGs: mcr and tet(X)) in these habitats were benchmarked via a standardized workflow. We found that wastewater and wastewater treatment works were characterized to be reservoirs of more diverse genotypes of ARGs than any other habitats including human and livestock fecal samples, while fecal samples were with higher ARG abundance. Bacterial taxonomy composition was significantly correlated with resistome composition across most habitats. Moreover, the source-sink connectivities were disentangled by developing the resistome-based microbial attribution prediction model. Environmental surveys with standardized bioinformatic workflow proposed in this study will help comprehensively understand the transfer of ARGs in the environment, thus prioritizing the critical environments with high risks for intervention to tackle the problem of ARGs. Copyright © 2023 Published by Elsevier Ltd. All rights reserved.

Original languageEnglish
Article number119875
JournalWater Research
Volume235
Early online dateMar 2023
DOIs
Publication statusPublished - May 2023

Citation

Yin, X., Li, L., Chen, X., Liu, Y.-Y., Lam, T. T.-Y., Topp, E., & Zhang, T. (2023). Global environmental resistome: Distinction and connectivity across diverse habitats benchmarked by metagenomic analyses. Water Research, 235, Article 119875. https://doi.org/10.1016/j.watres.2023.119875

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