Li Xuan, Xie Jiahao, Ding Cheng, Du Hongqiu, Gao Shuhong, Ma Weixing, Liang Feng, Zhang Haihan, Wang Aijie
College of Environmental Science & Engineering, Yancheng Institute of Technology, Yancheng 224051, PR China; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China.
College of Environmental Science & Engineering, Yancheng Institute of Technology, Yancheng 224051, PR China.
Sci Total Environ. 2023 Nov 25;901:166055. doi: 10.1016/j.scitotenv.2023.166055. Epub 2023 Aug 3.
The development of effective and feasible engineering technologies to control the transmission of antibiotic resistance genes (ARGs) and pathogenic antibiotic-resistant bacteria (PARB) form drinking water sources is urgently needed for ensuring drinking water safety. In this study, metagenomic analysis was applied to systematically explore the full profiles, removal, and potential health risks of antibiotic resistomes in a large constructed wetlands-reservoir ecosystem (CWs-R) for drinking water source improvement. A total of 343 ARG subtypes belonging to 18 ARG types were identified from water and sediment samples in the CWs-R ecosystem, with an average abundance of 0.339 copies/cell, and bacitracin and multidrug resistance genes were the predominant ARG types in the water and sediment, respectively. The CWs-R ecosystem showed an excellent removal efficiency of ARGs and mobile genetic elements (MGEs) in water, with the total removal rate reaching 64.82 % and 77.09 %, respectively, among which the emergent plant zone and ecological storage unit played major roles. The metagenomic assembly tracked many mobile ARGs and opportunistic pathogens in the CWs-R ecosystem and identified 19 contigs as ARG-carrying pathogens, including Staphylococcus aureus, Salmonella enterica, Escherichia coli, and Klebsiella pneumonia. Overall, the CWs-R ecosystem has an important role in reducing the potential public health risks posed by antibiotic resistomes in drinking water sources but still cannot fully eliminate them. Therefore, we further classified water and sediment samples in the CWs-R ecosystem and identified potential ARGs and PARB indicators based on the metagenomic analysis results by considering the potential for horizontal transfer of ARGs to opportunistic pathogens. Taken together, this work demonstrates the CWs-R ecosystem as an economical and feasible engineering technology to reduce the dissemination of antibiotic resistomes in the drinking water source, provides useful information for monitoring and controlling antibiotic resistance in similar water sources, and ensures biosafety of drinking water.
为确保饮用水安全，迫切需要开发有效且可行的工程技术来控制抗生素抗性基因（ARGs）和致病性抗生素抗性细菌（PARB）从饮用水源的传播。在本研究中，应用宏基因组分析系统地探索了大型人工湿地 - 水库生态系统（CWs - R）中抗生素抗性组的完整概况、去除情况及潜在健康风险，以改善饮用水源。从CWs - R生态系统的水和沉积物样本中鉴定出属于18种ARG类型的343种ARG亚型，平均丰度为0.339拷贝/细胞，杆菌肽和多药抗性基因分别是水和沉积物中的主要ARG类型。CWs - R生态系统对水中的ARGs和移动遗传元件（MGEs）具有出色的去除效率，总去除率分别达到64.82%和77.09%，其中挺水植物区和生态储水区发挥了主要作用。宏基因组组装追踪了CWs - R生态系统中的许多移动ARGs和机会性病原体，并鉴定出19个重叠群为携带ARG的病原体，包括金黄色葡萄球菌、肠炎沙门氏菌、大肠杆菌和肺炎克雷伯菌。总体而言，CWs - R生态系统在降低饮用水源中抗生素抗性组带来的潜在公共健康风险方面具有重要作用，但仍无法完全消除这些风险。因此，我们进一步对CWs - R生态系统中的水和沉积物样本进行分类，并根据宏基因组分析结果，考虑ARGs向机会性病原体水平转移的可能性，确定了潜在的ARGs和PARB指标。综上所述，这项工作证明了CWs - R生态系统是一种经济可行的工程技术，可减少饮用水源中抗生素抗性组的传播，为监测和控制类似水源中的抗生素抗性提供了有用信息，并确保了饮用水的生物安全性。
