Journal of East China Normal University(Natural Science) ›› 2024, Vol. 2024 ›› Issue (6): 86-98.doi: 10.3969/j.issn.1000-5641.2024.06.008

• Environmental Processes and Mechanisms • Previous Articles     Next Articles

Geographical pattern and driving mechanism of antibiotics and antibiotic resistance genes in estuarine sediment of China

Guoyu YIN1(), Dongsheng ZHENG2, Ye LI1, Ye HUANG1, Min LIU1,*()   

  1. 1. Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China
    2. Department of Earth System Science, Tsinghua University, Beijing 100084, China
  • Received:2024-07-29 Accepted:2024-07-29 Online:2024-11-25 Published:2024-11-29
  • Contact: Min LIU E-mail:gyyin@geo.ecnu.edu.cn;mliu@geo.ecnu.edu.cn

Abstract:

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.

Key words: antibiotics, antibiotic resistance genes, estuarine sediment, human activities, climate variables

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