Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum

被引:4
作者
Read, Daniel S. [1 ]
Gweon, H. Soon [1 ,2 ]
Bowes, Michael J. [1 ]
Anjum, Muna F. [3 ]
Crook, Derrick W. [4 ]
Chau, Kevin K. [4 ]
Shaw, Liam P. [4 ,5 ]
Hubbard, Alasdair [4 ,6 ]
Abuoun, Manal [3 ]
Tipper, Holly J. [1 ]
Hoosdally, Sarah J. [4 ]
Bailey, Mark J. [1 ]
Walker, A. Sarah [4 ]
Stoesser, Nicole [4 ]
机构
[1] UK Ctr Ecol & Hydrol UKCEH, Benson Lane,Crowmarsh Gifford, Wallingford OX10 8BB, England
[2] Univ Reading, Sch Biol Sci, Reading, England
[3] Anim & Plant Hlth Agcy, Dept Bacteriol, Addlestone KT15 3NB, Surrey, England
[4] Univ Oxford, Nuffield Dept Med, Oxford, England
[5] Univ Oxford, Dept Biol, 11a Mansfield Rd, Oxford OX1 3SZ, England
[6] Nottingham Trent Univ, Dept Biosci, Nottingham NG11 8NS, England
关键词
Antimicrobial resistance; Resistome; Wastewater; River; Sediment; ANTIBIOTIC-RESISTANCE; RISK-ASSESSMENT; DYNAMICS; HEALTH;
D O I
10.1016/j.watres.2024.122204
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Antimicrobial resistance (AMR) is a global health hazard. Although clinical and agricultural environments are well-established contributors to the evolution and dissemination of AMR, research on wastewater treatment works (WwTWs) has highlighted their potential role as disseminators of AMR in freshwater environments. Using metagenomic sequencing and analysis, we investigated the changes in resistomes and associated mobile genetic elements within untreated wastewater influents and treated effluents of five WwTWs, and sediments collected from corresponding river environments in Oxfordshire, UK, across three seasonal periods within a year. Our analysis demonstrated a high diversity and abundance of antimicrobial resistance genes (ARGs) in untreated wastewater influents, reflecting the varied anthropogenic and environmental origins of wastewater. WwTWs effectively reduced AMR in the final effluent, with an average 87 % reduction in normalised ARG abundance and an average 63 % reduction in richness. However, wastewater effluents significantly impacted the antimicrobial resistome of the receiving rivers, with an average 543 % increase in ARG abundance and a 164 % increase in richness from upstream sediments to downstream sediments. The normalised abundance of the human gutassociated bacteriophage crAssphage was highly associated with both ARG abundance and richness. We observed seasonal variation in the resistome of raw influent which was not found in the effluent-receiving sediments. We illustrate the potential of WwTWs as focal points for disseminating ARGs and resistanceselecting chemicals, contributing to the elevation of environmental AMR. Our study emphasises the need for a comprehensive understanding of the anthropogenic impacts on AMR evolution and dissemination in wastewater and river environments, informing efforts to mitigate this growing public health crisis.
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页数:12
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共 60 条
[1]   Macrolides from rare actinomycetes: Structures and bioactivities [J].
Al-Fadhli, Ammar A. ;
Threadgill, MichaelD. ;
Mohammed, Faez ;
Sibley, Paul ;
Al-Ariqi, Wadie ;
Parveen, Ifat .
INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2022, 59 (02)
[2]   Validated predictive modelling of the environmental resistome [J].
Amos, Gregory C. A. ;
Gozzard, Emma ;
Carter, Charlotte E. ;
Mead, Andrew ;
Bowes, Mike J. ;
Hawkey, Peter M. ;
Zhang, Lihong ;
Singer, Andrew C. ;
Gaze, William H. ;
Wellington, Elizabeth M. H. .
ISME JOURNAL, 2015, 9 (06) :1467-1476
[3]  
AMR Industry Alliance AMR Alliance Science-Based, 2024, PNEC Targets for Risk Assessments
[4]   Concentrations of antibiotics predicted to select for resistant bacteria: Proposed limits for environmental regulation [J].
Bengtsson-Palme, Johan ;
Larsson, D. G. Joakim .
ENVIRONMENT INTERNATIONAL, 2016, 86 :140-149
[5]   Evidence for wastewaters as environments where mobile antibiotic resistance genes emerge [J].
Berglund, Fanny ;
Ebmeyer, Stefan ;
Kristiansson, Erik ;
Larsson, D. G. Joakim .
COMMUNICATIONS BIOLOGY, 2023, 6 (01)
[6]   Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data [J].
Bowes, M. J. ;
Loewenthal, M. ;
Read, D. S. ;
Hutchins, M. G. ;
Prudhomme, C. ;
Armstrong, L. K. ;
Harman, S. A. ;
Wickham, H. D. ;
Gozzard, E. ;
Carvalho, L. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 569 :1489-1499
[7]   Ecotoxicological assessment of antibiotics: A call for improved consideration of microorganisms [J].
Brandt, Kristian K. ;
Amezquita, Alejandro ;
Backhaus, Thomas ;
Boxall, Alistair ;
Coors, Anja ;
Heberer, Thomas ;
Lawrence, John R. ;
Lazorchak, James ;
Schoenfeld, Jens ;
Snape, Jason R. ;
Zhu, Yong-Guan ;
Topp, Edward .
ENVIRONMENT INTERNATIONAL, 2015, 85 :189-205
[8]  
Chau K., 2022, High resolution characterisation of short-term temporal variability in the taxonomic and resistome composition of wastewater influent, DOI [10.1101/2022.07.08.499324, DOI 10.1101/2022.07.08.499324]
[9]   Seasonal variation of contaminant concentrations in wastewater treatment works effluents and river waters [J].
Comber, S. D. W. ;
Gardner, M. J. ;
Ellor, B. .
ENVIRONMENTAL TECHNOLOGY, 2020, 41 (21) :2716-2730
[10]   UpSetR: an R package for the visualization of intersecting sets and their properties [J].
Conway, Jake R. ;
Lex, Alexander ;
Gehlenborg, Nils .
BIOINFORMATICS, 2017, 33 (18) :2938-2940