中国北方城市河流中的抗生素抗性组及其驱动因素。
Antibiotic resistome and its driving factors in an urban river in northern China.
机构信息
College of Environmental Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100871, China.
Beijing International Scientific and Technological Cooperation Base of Water Pollution Control Techniques for Antibiotics and Resistance Genes, Beijing Key Laboratory of Aqueous Typical Pollutants Control and Water Quality Safeguard, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.
出版信息
Sci Total Environ. 2022 Sep 10;838(Pt 3):156536. doi: 10.1016/j.scitotenv.2022.156536. Epub 2022 Jun 6.
Urban rivers dynamically interfered by anthropogenic activities are considered as a vital reservoir of antibiotic resistance genes (ARGs). Here, a total of 198 ARGs and 12 mobile genetic elements (MGEs) were profiled in water and sediment from the Chaobai river, Beijing. The total abundances of ARGs (1.01 × 10-4.58 × 10 copies/L in water and 2.92 × 10-3.34 × 10 copies/g in sediment), which were dominated by beta-lactamase genes, exhibited significant seasonal variations (p < 0.05). Significant linear correlations between the total abundances of ARGs and MGEs were observed in both water and sediment (p < 0.01). Variance partitioning analysis disclosed that environmental variables (i.e., water temperature (WT), dissolved oxygen (DO), nutrients, metals, etc.) and antibiotics were the main contributors to the variations of ARGs and MGEs, and explained 55-80 % and 27-67 % of the total variations in ARGs and MGEs, respectively. The partial least-squares path model revealed the ARG abundances in water and sediment were affected by environmental variables and antibiotics both directly and indirectly but by MGEs directly. Moreover, random forest algorithm explored that WT, Ni, DO, Co, and polyether and macrolide antibiotics were the main drivers (>10 %) of ARGs dissemination in water, whereas the transposase genes of Tp614, tnpA, and IS613 were the main drivers of ARGs dissemination in both water and sediment. This study provides a comprehensive understanding of the driving factors for the ARGs dissemination in an urban river, which is of great significance for risk management of antibiotic resistome.
受人为活动动态干扰的城市河流被认为是抗生素耐药基因(ARGs)的重要储存库。在这里,对来自北京潮白河的水和沉积物中的 198 个 ARGs 和 12 个移动遗传元件(MGEs)进行了分析。ARGs 的总丰度(水中为 1.01×10-4.58×10 拷贝/L,沉积物中为 2.92×10-3.34×10 拷贝/g),主要由β-内酰胺酶基因主导,表现出显著的季节性变化(p<0.05)。在水和沉积物中均观察到 ARGs 和 MGEs 的总丰度之间存在显著的线性相关性(p<0.01)。方差分解分析表明,环境变量(即水温(WT)、溶解氧(DO)、营养物质、金属等)和抗生素是 ARGs 和 MGEs 变化的主要贡献者,分别解释了 ARGs 和 MGEs 总变化的 55-80%和 27-67%。偏最小二乘路径模型表明,水和沉积物中的 ARG 丰度受环境变量和抗生素的直接和间接影响,但仅受 MGEs 的直接影响。此外,随机森林算法探讨了 WT、Ni、DO、Co 和聚醚和大环内酯类抗生素是水中 ARGs 传播的主要驱动因素(>10%),而 Tp614、tnpA 和 IS613 的转座酶基因是水和沉积物中 ARGs 传播的主要驱动因素。本研究提供了对城市河流中 ARGs 传播的驱动因素的全面了解,这对于抗生素耐药组的风险管理具有重要意义。