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人工湿地中的抗生素耐药基因:驱动指标与风险评估。

Antibiotic resistance genes in constructed wetlands: Driving indicators and risk assessment.

机构信息

State Environmental Protection Key Laboratory of Estuarine and Coastal Environment, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China; College of Resources and Environment, Yunnan Agricultural University, Kunming, Yunnan 650201, PR China.

State Environmental Protection Key Laboratory of Estuarine and Coastal Environment, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China.

出版信息

J Hazard Mater. 2023 Oct 5;459:132314. doi: 10.1016/j.jhazmat.2023.132314. Epub 2023 Aug 15.

DOI:10.1016/j.jhazmat.2023.132314
PMID:37595473
Abstract

Constructed wetlands (CWs) were responsible for the in-depth purification of wastewater, providing an ideal environment for the transport, acquisition, and dissemination of antibiotic resistance genes (ARGs). A better understanding of influencing factors and risks of ARGs in CWs was deemed indispensable. In this research, the abundance of ARGs and mobile genetic elements (MGEs) was determined to be higher in summer and spring, ranging from 53.7 to 8.51 × 10 and 30.9-6.02 × 10 copies/mL, respectively. Seasonal variation significantly influenced the abundance of ARGs and MGEs, as well as the co-occurrence patterns among ARGs, MGEs and bacteria. However, the environmental gradients, from the influent (CW01) to the effluent (CW10), did not impose significant effects on the abundance of ARGs and MGEs. Furthermore, the ratios of pathogenic bacteria to ARG hosts and ARG risks index decreased by 50.4% and 88.54% along with the environmental gradients, indicating that CWs could act as barriers to the transfer of ARGs. Partial least squares-path modeling (PLSPM) revealed that temperature was the main driving factor of ARGs, followed by MGEs, stable and differential bacteria. This finding effectively and innovatively explored the driving indicators for the variations and risks of ARGs caused by spatial-temporal variations, providing new insights into the evaluation and control of ARGs in CWs.

摘要

人工湿地(CWs)负责对污水进行深度净化,为抗生素抗性基因(ARGs)的迁移、获取和传播提供了理想的环境。更好地了解 CWs 中 ARGs 的影响因素和风险是必不可少的。在这项研究中,确定 ARGs 和移动遗传元件(MGEs)的丰度在夏季和春季较高,分别为 53.7 到 8.51×10 和 30.9 到 6.02×10 拷贝/mL。季节变化显著影响 ARGs 和 MGEs 的丰度以及 ARGs、MGEs 和细菌之间的共现模式。然而,从进水(CW01)到出水(CW10)的环境梯度对 ARGs 和 MGEs 的丰度没有显著影响。此外,病原菌与 ARG 宿主的比值和 ARG 风险指数沿环境梯度分别下降了 50.4%和 88.54%,表明 CWs 可以作为 ARGs 转移的屏障。偏最小二乘路径模型(PLSPM)表明,温度是 ARGs 的主要驱动因素,其次是 MGEs、稳定和差异细菌。这一发现有效地和创新性地探索了时空变化引起的 ARGs 变化和风险的驱动指标,为 CWs 中 ARGs 的评价和控制提供了新的思路。

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