摘要
      淡水环境中抗生素耐药性基因（ARGs）的广泛污染正成为对人类健康和生态安全的严重挑战。快速有效地监测ARGs污染对控制ARGs具有重要意义。水、底泥和鱼类都被用来指示水生环境中的ARG污染。然而，目前尚不清楚水生环境食物链中的大型底栖无脊椎动物是否可以成为ARG污染的指标。在本研究中，我们证明了包括tetA基因、sul2基因和km基因在内的ARGs分布在微山湖摇蚊科幼虫中。ARG的分布与动物物种、身体部位、采样地点、时间、城市环境、畜牧业、南水北调、食物链、抗生素和蓄水有关。基于结构方程模型（SEM）和摇蚊科幼虫ARG-sul2的分布，建立了微山湖ARG污染的数学模型预测。研究发现，蓄水、金属元素、抗生素和温度等影响因素与ARG污染的预测密切相关。这项研究为淡水环境中的ARG污染提供了一个新的指标和预测ARG污染的方法。
Abstract
The widespread contamination of antibiotic resistance genes (ARGs) in freshwater environment are becoming a serious challenge to human health and ecological safety. Rapid and efficient monitoring of ARGs pollution is of great significance to ARGs control. Water, bottom mud, and fish have all been used to indicate ARG contamination in aquatic environments. However, it is unclear whether macrobenthic invertebrates in the food chain of aquatic environments can be indicators of ARG contamination. In this study, we demonstrated that ARGs including tetA gene, sul2 gene, and km gene were distributed in Chironomidae larvae in Weishan Lake. The ARG distribution was related to animal species, body parts, sampling sites, time, urban environment, animal farming, south-to-north water diversion, food chain, antibiotics, and water storage. Mathematical model predictions of ARG contamination in Weishan Lake were constructed based on the structural equation model (SEM) and the distribution of ARG sul2 in Chironomidae larvae. Influencing factors such as water storage, metal elements, antibiotic, and temperature were found to be closely related to the prediction of ARG contamination. This study provided a new indicator for ARG contamination in freshwater environments and a method to predict ARGs contamination.

https://www.sciencedirect.com/science/article/abs/pii/S0043135422008090