收稿日期: 2024-07-29
录用日期: 2024-07-29
网络出版日期: 2024-11-29
基金资助
国家重点研发计划青年科学家项目 (2022YFC3105800); 国家自然科学基金 (42230505, 42206148,42476153)
Geographical pattern and driving mechanism of antibiotics and antibiotic resistance genes in estuarine sediment of China
Received date: 2024-07-29
Accepted date: 2024-07-29
Online published: 2024-11-29
河口是抗生素抗性基因(antibiotic resistance genes, ARGs)的重要汇集区域, 但对于河口环境中ARGs的地理格局和主要驱动因素了解不足. 为此, 本研究通过高通量定量聚合酶链反应(high-throughput quantitative polymerase chain reaction, HT-qPCR)技术研究了中国16个典型河口在干湿季节的ARGs赋存特征, 并结合统计分析揭示了多种因素对ARGs的影响. 结果表明, 干季ARGs丰度高于湿季, 且ARGs丰度随纬度升高呈增加趋势. 人类活动、可移动基因元件、肠道微生物、抗生素浓度、理化性质和气候变量对ARGs的赋存有显著影响. 其中, 气候变量和人类活动对ARGs影响最显著. 影响ARGs的最重要气候变量是温度, 温度升高使得ARGs丰度降低. 研究证实, 人类活动和气候因素共同驱动了河口ARGs的丰度变化, 可为未来气候变化和社会经济发展背景下ARGs的控制政策提供依据.
尹国宇 , 郑栋升 , 李晔 , 黄晔 , 刘敏 . 中国河口沉积物抗生素及抗性基因地理格局和驱动机制[J]. 华东师范大学学报(自然科学版), 2024 , 2024(6) : 86 -98 . DOI: 10.3969/j.issn.1000-5641.2024.06.008
Estuaries are important convergence areas of antibiotic resistance genes (ARGs), but the geographical pattern and main drivers of ARGs in estuarine environments are poorly understood. Therefore, high-throughput quantitative polymerase chain reaction (HT-qPCR) was used to study the prevalence of ARGs in 16 estuaries of China in dry and wet seasons, and statistical analysis was utilized to reveal the influence of various factors on the prevalence of ARGs. The results showed that the abundance of ARGs was higher in the dry season than the wet season, and the abundance of ARGs increased with latitude. Human activities, mobile genetic elements, gut microbes, antibiotic concentrations, physicochemical properties, and climate variables had significant effects on the prevalence of ARGs. Climate variables and human activities had the most significant influence on ARGs. The most important climate variable affecting ARGs was temperature, with an increasing temperature reducing the abundance of ARGs. This study confirmed that human activities and climate factors jointly drive the changes in ARG abundance in estuaries. These findings provide a basis for the development of control policies for ARGs in the context of climate change and socio-economic development in the future.
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