TY - JOUR
T1 - Highly Resolved Community Sewage Metagenomics Unveiling Landscape and Transmission Patterns of Antibiotic Resistome in Hong Kong Populations
AU - Ding, Jiahui
AU - Wang, Mengying
AU - Xu, Xiaoqing
AU - Wang, Dou
AU - Chen, Xi
AU - Li, Shuxian
AU - Zheng, Xiawan
AU - Che, You
AU - Deng, Yu
AU - Lam, Tommy T. Y.
AU - Li, Liguan
AU - Zhang, Tong
PY - 2026/2/27
Y1 - 2026/2/27
N2 - The increasing global burden of antimicrobial resistance (AMR) has been identified as a critical public health crisis, necessitating the development of robust, real-time surveillance frameworks to evaluate AMR dynamics. Sewage surveillance is emerging as a promising tool that utilizes sewage fingerprinting to provide comprehensive and unbiased information on antibiotic resistance genes (ARGs) within human populations. Here, we conducted a large-scale, year-long field surveillance of resistome in the community sewage using both short- and long-read metagenomic sequencing. We examined samples collected from 95 geographically distributed sites across Hong Kong, covering a population of 4.8 million residents, during summer and winter seasons. Our findings revealed distinct seasonal patterns through high-resolution resistome profiling. We found that the resistome structures shifted from the community sewage collected at sewer manholes to the influent of wastewater treatment plants (WWTPs), driven by taxonomic variation. Notably, community sewage exhibited a significantly higher similarity to the resistome of human feces than WWTP influent, which provides insights for selecting suitable sampling sites for epidemiological ARG surveillance. The application of long-read sequencing markedly enhanced our understanding of the phylogenetic diversity of ARG hosts and uncovered a broad spectrum of potentially mobile ARGs with varied genetic backgrounds. Furthermore, we observed multiple local ARG transmission patterns and subsequently evaluated their potential threats to public health based on the gene trees to inform future epidemiological control strategies. Overall, this work expands our current understanding of community sewage for population-level AMR monitoring and establishes a baseline for advancing sewage surveillance efforts to better combat AMR. © 2026 The Author(s). Advanced Science published by Wiley-VCH GmbH.
AB - The increasing global burden of antimicrobial resistance (AMR) has been identified as a critical public health crisis, necessitating the development of robust, real-time surveillance frameworks to evaluate AMR dynamics. Sewage surveillance is emerging as a promising tool that utilizes sewage fingerprinting to provide comprehensive and unbiased information on antibiotic resistance genes (ARGs) within human populations. Here, we conducted a large-scale, year-long field surveillance of resistome in the community sewage using both short- and long-read metagenomic sequencing. We examined samples collected from 95 geographically distributed sites across Hong Kong, covering a population of 4.8 million residents, during summer and winter seasons. Our findings revealed distinct seasonal patterns through high-resolution resistome profiling. We found that the resistome structures shifted from the community sewage collected at sewer manholes to the influent of wastewater treatment plants (WWTPs), driven by taxonomic variation. Notably, community sewage exhibited a significantly higher similarity to the resistome of human feces than WWTP influent, which provides insights for selecting suitable sampling sites for epidemiological ARG surveillance. The application of long-read sequencing markedly enhanced our understanding of the phylogenetic diversity of ARG hosts and uncovered a broad spectrum of potentially mobile ARGs with varied genetic backgrounds. Furthermore, we observed multiple local ARG transmission patterns and subsequently evaluated their potential threats to public health based on the gene trees to inform future epidemiological control strategies. Overall, this work expands our current understanding of community sewage for population-level AMR monitoring and establishes a baseline for advancing sewage surveillance efforts to better combat AMR. © 2026 The Author(s). Advanced Science published by Wiley-VCH GmbH.
KW - antimicrobial resistance
KW - ARG mobility
KW - genetic context
KW - host tracking
KW - nanopore sequencing
KW - sewage surveillance
UR - https://www.scopus.com/pages/publications/105031513265
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105031513265&origin=recordpage
U2 - 10.1002/advs.202508389
DO - 10.1002/advs.202508389
M3 - RGC 21 - Publication in refereed journal
SN - 2198-3844
JO - Advanced Science
JF - Advanced Science
M1 - e08389
ER -