State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESP), Beijing Key Laboratory for Emerging Organic Contaminants Control (BKLEOC), Beijing Laboratory for Environmental Frontier Technologies (BLEFT), School of Environment, Tsinghua University, Beijing 100084, China.
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
Sci Total Environ. 2021 Jul 15;778:146131. doi: 10.1016/j.scitotenv.2021.146131. Epub 2021 Mar 1.
Human activities in rural areas, such as livestock farming, aquaculture, and rural domestic sewage discharge, may result in antibiotic resistance genes (ARGs) pollution in rural rivers. A systematic monitoring in different seasons was conducted in a typical agriculture-polluted river with Real-Time Quantitative PCR. A total of 11 ARGs and 2 related mobile genetic elements (MGEs) were detected at all sites with relative abundances of 6.9 × 10-0.2 copies/16S rRNA copies. Among them, sul1, sul2 and int1 were the dominant target genes in water samples. tetW, ermB, and floR were more abundant in November (the dry season), while other ARGs, MGEs and 16s rRNA were at a higher absolute abundance in warm seasons. There was less spatial variation of ARGs in the dry season than in the other two seasons. Furthermore, the relative abundance of ARGs was higher at sampling sites adjoining pollution sources. In addition, cluster analysis implied that ARGs in upstream sediments may be released into surface water and migrate downstream in the direction of river flow. There was no significant correlation between ARGs and their corresponding antibiotics. However, the total concentration of tetracycline was significantly correlated with the non-paired ARGs, including sul3, floR, and ermB. At the same time, heavy metals (Zn, Pb, Cd, Cr, As) and other environmental parameters (permanganate index, pH, DO) may apply selective pressure on the spread of ARGs, according to redundancy and Pearson's correlation analysis.
人类在农村地区的活动，如畜牧业、水产养殖和农村生活污水排放，可能导致农村河流中的抗生素抗性基因（ARGs）污染。本研究采用实时定量 PCR 技术，对一个典型的农业污染河流进行了不同季节的系统监测。在所有采样点均检测到 11 种 ARGs 和 2 种相关的移动遗传元件（MGEs），相对丰度为 6.9×10-0.2 拷贝/16S rRNA 拷贝。其中，sul1、sul2 和 int1 是水样中的优势靶基因。tetW、ermB 和 floR 在 11 月（旱季）更为丰富，而其他 ARGs、MGEs 和 16s rRNA 在温暖季节的绝对丰度更高。旱季的 ARGs 空间变异性小于其他两个季节。此外，靠近污染源的采样点 ARGs 相对丰度更高。聚类分析表明，上游沉积物中的 ARGs 可能会释放到地表水中，并沿河流流向迁移到下游。ARGs 与其相应抗生素之间没有显著相关性。然而，四环素的总浓度与非配对的 ARGs（sul3、floR 和 ermB）显著相关。同时，冗余分析和 Pearson 相关性分析表明，重金属（Zn、Pb、Cd、Cr、As）和其他环境参数（高锰酸盐指数、pH、DO）可能对 ARGs 的传播施加了选择压力。
