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Enhanced Extraction of Low-Molecular Weight DNA from Wastewater for Comprehensive Assessment of Antimicrobial Resistance
Published on: July 19, 2024
Citywide metagenomics reveals microbial community and resistome dynamics in urban wastewater
Zhiying Xu1, Jiabao Xing2, Xiaohong Zeng3
1State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen Institute of Public Health and Health Sciences, School of Public Health, Xiamen University, Xiamen, China.
Abstract:
Urban wastewater systems connect hospitals, residential communities, transport hubs, and wastewater treatment plants, creating opportunities for the dissemination of microorganisms and antibiotic resistance genes (ARGs). Here, we conduct a three-month, citywide metagenomic survey of wastewater in Xiamen, China, comprising 252 samples from seven hospital sites (n = 16), 27 residential sites (n = 55), 16 wastewater treatment plant sites (n = 159), and individual international flights (n = 22). Genome-resolved analyses reveal source-specific microbial community structures, resistome profiles, lineage-sharing patterns, and associations between ARGs and mobile genetic elements across wastewater sources. Hospital wastewater harbors the most diverse resistome, while international flight wastewater introduces microbial taxa and ARGs absent from local wastewater networks. Wastewater treatment plants accumulate ARGs from multiple upstream sources, exhibiting frequent lineage sharing and signals of potential horizontal gene transfer. Compared with within-environment sharing, cross-environment lineage sharing is associated with lower nucleotide diversity, consistent with possible genetic bottlenecks. Among potential correlates, pH shows strong non-linear associations with microbial diversity and resistome composition. These findings indicate that urban wastewater systems function as interconnected networks for microbial and ARG dissemination and identify potential hotspots for targeted antimicrobial resistance surveillance.
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