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Seasonal hydrological dynamics affected the diversity and assembly process of the antibiotic resistome in a canal network.
Zhang, Tao; Gui, Qiyao; Gao, Yuexiang; Wang, Zhiyuan; Kong, Ming; Xu, Sai.
Afiliação
  • Zhang T; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China.
  • Gui Q; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China; College of Environment, Hohai University, Nanjing, 210024, China.
  • Gao Y; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China.
  • Wang Z; The National Key Laboratory of Water Disaster Prevention, Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China.
  • Kong M; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China. Electronic address: kongming@nies.org.
  • Xu S; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China; Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
Environ Res ; 252(Pt 2): 118841, 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38582418
ABSTRACT
The significant threat of antibiotic resistance genes (ARGs) to aquatic environments health has been widely acknowledged. To date, several studies have focused on the distribution and diversity of ARGs in a single river while their profiles in complex river networks are largely known. Here, the spatiotemporal dynamics of ARG profiles in a canal network were examined using high-throughput quantitative PCR, and the underlying assembly processes and its main environmental influencing factors were elucidated using multiple statistical analyses. The results demonstrated significant seasonal dynamics with greater richness and relative abundance of ARGs observed during the dry season compared to the wet season. ARG profiles exhibited a pronounced distance-decay pattern in the dry season, whereas no such pattern was evident in the wet season. Null model analysis indicated that deterministic processes, in contrast to stochastic processes, had a significant impact on shaping the ARG profiles. Furthermore, it was found that Firmicutes and pH emerged as the foremost factors influencing these profiles. This study enhanced our comprehension of the variations in ARG profiles within canal networks, which may contribute to the design of efficient management approaches aimed at restraining the propagation of ARGs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Rios Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Rios Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China