Literature DB >> 32622239

Antibiotic resistomes in drinking water sources across a large geographical scale: Multiple drivers and co-occurrence with opportunistic bacterial pathogens.

Ziming Han1, Yu Zhang2, Wei An3, Junying Lu4, Jianying Hu5, Min Yang6.   

Abstract

Antibiotic resistance genes (ARGs) can survive the water treatment process. However, the prevalence patterns, key drivers, and relationships with opportunistic pathogens of the antibiotic resistome harbored in drinking water sources remain unclear. Herein, 53 drinking water samples collected across a large geographical scale in China were characterized based on ARGs, mobile genetic elements (MGEs), bacterial communities, antibiotics, and opportunistic bacterial pathogens. A total of 265 unique ARGs and MGEs were detected by high-throughput quantitative polymerase chain reaction (HT-qPCR), and 101 genes were shared among over 50% of samples. ARG abundance was higher in rivers than in reservoirs or groundwater, and ARG similarity showed a distance-decay relationship at the >4 000 km scale. Four out of the five detected opportunistic pathogens (i.e., Escherichia coli, Mycobacterium spp., Clostridium perfringens, and Bacillus cereus group) were potential hosts of ARGs. Based on multivariate statistics, our results demonstrated that the factors influencing the antibiotic resistome in drinking water sources were multiple and interactive. The bacterial community greatly contributed to ARG structure, and antibiotic concentrations and MGEs also affected ARG proliferation. The structural equation model indicated that geographical location and sample types (i.e., river, reservoir, and groundwater) had indirect effects on ARGs by changing the bacterial community and antibiotic concentration. Holistic consideration of natural and anthropogenic factors is recommended to understand antibiotic resistome variation in drinking water sources at a large geographical scale. Furthermore, large-scale diverse samples are suggested to minimize the potential influence of accident or stochasticity. Our findings provide insight into water quality risks induced by drinking water antibiotic resistomes.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance genes; High-throughput qPCR; Opportunistic pathogens; Water safety; Waterborne disease

Year:  2020        PMID: 32622239     DOI: 10.1016/j.watres.2020.116088

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  6 in total

Review 1.  Antibiotic Resistance in the Drinking Water: Old and New Strategies to Remove Antibiotics, Resistant Bacteria, and Resistance Genes.

Authors:  Ana Catarina Duarte; Sílvia Rodrigues; Andrea Afonso; António Nogueira; Paula Coutinho
Journal:  Pharmaceuticals (Basel)       Date:  2022-03-24

Review 2.  Structure of Bacterial Community with Resistance to Antibiotics in Aquatic Environments. A Systematic Review.

Authors:  Ana María Sánchez-Baena; Luz Dary Caicedo-Bejarano; Mónica Chávez-Vivas
Journal:  Int J Environ Res Public Health       Date:  2021-02-27       Impact factor: 3.390

Review 3.  Antibiotic resistome from the One-Health perspective: understanding and controlling antimicrobial resistance transmission.

Authors:  Dae-Wi Kim; Chang-Jun Cha
Journal:  Exp Mol Med       Date:  2021-03-01       Impact factor: 8.718

4.  Research on Ecoenvironmental Quality Evaluation System Based on Big Data Analysis.

Authors:  Pingheng Li
Journal:  Comput Intell Neurosci       Date:  2022-03-07

5.  Propagation of antibiotic resistance genes during anaerobic digestion of thermally hydrolyzed sludge and their correlation with extracellular polymeric substances.

Authors:  Seyed Mohammad Mirsoleimani Azizi; Basem S Zakaria; Nervana Haffiez; Bipro Ranjan Dhar
Journal:  Sci Rep       Date:  2022-04-25       Impact factor: 4.996

Review 6.  Biogeographical Patterns of Bacterial Communities and Their Antibiotic Resistomes in the Inland Waters of Southeast China.

Authors:  Peiju Fang; Peng Xiao; Fengjiao Tan; Yuanyuan Mo; Huihuang Chen; Uli Klümper; Thomas U Berendonk; Jun Yang
Journal:  Microbiol Spectr       Date:  2022-06-23
  6 in total

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