摘要
      为了控制抗生素抗性基因（ARGs）在人工湿地中的扩散，探索影响ARGs去除的主要因素并了解其机制至关重要。尽管近年来已经进行了大量研究来确定影响人工湿地去除ARGs的因素，但使用已发表的数据并将其纳入综合比较和分析的尝试仍然有限。本研究构建了文献收集、数据提取和统计分析（LDS）的框架。利用该框架确定了影响人工湿地去除抗生素和ARGs的主要因素。结果表明，营养物质、人工湿地类型和水力负荷是影响大多数抗生素去除的主要因素。影响ARGs去除最多的主要因素是移动遗传元素、植物、人工湿地的体积和运行时间。人工湿地净化后，抗生素的风险系数显著降低，而大多数ARGs的相对丰度没有显著变化。线性混合模型的分析结果表明，抗生素与出水中ARGs的关系比进水中的关系更密切。LDS框架为基于数据挖掘的污染物去除影响因素研究提供了一个新的平台。
Abstract
In order to control antibiotic resistance genes (ARGs) diffusion in constructed wetlands, it is critical to explore the main factors influencing ARGs removal and understand its mechanism. Despite the fact that numerous studies have been conducted to determine the factors influencing ARGs removal by constructed wetlands in recent years, attempts to use published data and incorporate them into a comprehensive comparison and analysis are still limited. A framework for literature collection, data extraction and statistical analysis (LDS) was constructed in this study. The main factors influencing antibiotics and ARGs removal by constructed wetlands were identified using this framework. The results showed that nutrients, types of constructed wetlands and hydraulic loading were the principal factors influencing the removal of most antibiotics. The principal factors influencing the most ARGs removal were mobile genetic elements, plants, volume of constructed wetlands and running time. After purification by constructed wetlands, the risk coefficient of antibiotics decreased significantly, while the relative abundance of most ARGs did not change significantly. The analysis results of linear mixed model showed that the relationship between antibiotics and ARGs in effluent was closer than that in influent. LDS framework provides a new platform for the study of influencing factors of pollutant removal based on data mining.

https://www.sciencedirect.com/science/article/abs/pii/S0045653523000218