School of Life Science, Anhui Medical University, Hefei, Anhui 230032, China.
Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Science, Wuhan 430077, China; University of Chinese Academy of Sciences, Beijing 100049, China.
J Hazard Mater. 2022 Feb 15;424(Pt D):127745. doi: 10.1016/j.jhazmat.2021.127745. Epub 2021 Nov 10.
The increasing pollution of urban drinking water sources by antibiotic resistance genes (ARGs) threatens human health worldwide. However, the distribution and influencing factors of ARGs, especially how to reveal the risks of ARGs in this environment remains unclear. Hence, Chaohu Lake was selected as an example to investigate the characteristics of ARGs and explore the interactions among physicochemical factors, microorganisms, and ARGs by metagenomic approach. In this work, 75 ARG subtypes with an average of 30.4 × /Gb (ranging from 15.2 ×/Gb to 57.9 ×/Gb) were identified, and multidrug and bacA were most frequent in Chaohu Lake. Non-random co-occurrence patterns and potential host bacteria of ARGs were revealed through co-occurrence networks. Microbial community and mobile genetic elements (MGEs) were the major direct factors in ARG profiles. The dissemination of ARGs was mainly driven by plasmids. Considering the interactions among MGEs, human bacterial pathogens, and ARGs, antibiotic resistome risk index (ARRI) was proposed to manifest the risks of ARGs. Overall, our work systemically investigated the composition and associated factors of ARGs and built ARRI to estimate the potential risks of ARGs in a typical urban drinking water source, providing an intuitive indicator for managing similar lakes.
城市饮用水源中抗生素耐药基因（ARGs）的污染日益严重，威胁着全球人类的健康。然而，ARGs 的分布和影响因素，特别是如何揭示这种环境中的 ARGs 风险，仍然不清楚。因此，选择巢湖作为一个例子，通过宏基因组学方法研究 ARGs 的特征，并探索理化因素、微生物和 ARGs 之间的相互作用。在这项工作中，鉴定出 75 种 ARG 亚型，平均每个基因组 30.4×/Gb（范围为 15.2×/Gb 至 57.9×/Gb），其中多药和 bacA 在巢湖最为常见。通过共现网络揭示了 ARGs 的非随机共现模式和潜在宿主细菌。微生物群落和移动遗传元件（MGEs）是 ARG 谱的主要直接因素。ARGs 的传播主要由质粒驱动。考虑到 MGEs、人类细菌病原体和 ARGs 之间的相互作用，提出了抗生素耐药组风险指数（ARRI）来表现 ARGs 的风险。总的来说，我们系统地研究了 ARGs 的组成和相关因素，并建立了 ARRI 来估计典型城市饮用水源中 ARGs 的潜在风险，为管理类似湖泊提供了直观的指标。
