Genomic evaluation of multidrug-resistant extended-spectrum β-Lactamase (ESBL)-producing Escherichia coli from irrigation water and fresh produce in South Africa : a cross-sectional analysis

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dc.contributor.author Richter, Loandi
dc.contributor.author Duvenage, Stacey
dc.contributor.author Du Plessis, Erika Margarete
dc.contributor.author Msimango, Thabang
dc.contributor.author Dlangalala, Manana
dc.contributor.author Mathavha, Muneiwa Tshidino
dc.contributor.author Molelekoa, Tintswalo
dc.contributor.author Kgoale, Degracious M.
dc.date.accessioned 2025-01-17T05:26:07Z
dc.date.available 2025-01-17T05:26:07Z
dc.date.issued 2024-08
dc.description.abstract Escherichia coli, both commensal and pathogenic, can colonize plants and persist in various environments. It indicates fecal contamination in water and food and serves as a marker of antimicrobial resistance. In this context, 61 extended-spectrum βlactamase (ESBL)-producing E. coli from irrigation water and fresh produce from previous studies were characterized using whole genome sequencing (Illumina MiSeq). The Center for Genomic Epidemiology and Galaxy platforms were used to determine antimicrobial resistance genes, virulence genes, plasmid typing, mobile genetic elements, multilocus sequence typing (MLST), and pathogenicity prediction. In total, 19 known MLST groups were detected among the 61 isolates. Phylogroup B1 (ST58) and Phylogroup E (ST9583) were the most common sequence types. The six ST10 (serotype O101:H9) isolates carried the most resistance genes, spanning eight antibiotic classes. Overall, 95.1% of the isolates carried resistance genes from three or more classes. The blaCTX‑M‑1, blaCTX‑M‑14, and blaCTX‑M‑15 ESBL genes were associated with mobile genetic elements, and all of the E. coli isolates showed a >90% predicted probability of being a human pathogen. This study provided novel genomic information on environmental multidrug-resistant ESBL-producing E. coli from fresh produce and irrigation water, highlighting the environment as a reservoir for multidrug-resistant strains and emphasizing the need for ongoing pathogen surveillance within a One Health context. en_US
dc.description.department Plant and Soil Sciences en_US
dc.description.sdg SDG-03:Good heatlh and well-being en_US
dc.description.sdg SDG-06:Clean water and sanitation en_US
dc.description.sponsorship The Water Research Commission (WRC), the Partnerships for Enhanced Engagement in Research (PEER), the Department of Science and Innovation (DSI), the National Research Foundation (NRF), y the UK Department of Health and Social Care. en_US
dc.description.uri http://scialert.net/jindex.php?issn=1994-7887 en_US
dc.description.uri https://pubs.acs.org/journal/esthag en_US
dc.identifier.citation Richter, L., Duvenage, S., Du Plessis, E.M. et al. 2024, 'Genomic evaluation of multidrug-resistant extended-spectrum β-Lactamase (ESBL)-producing Escherichia coli from irrigation water and fresh produce in South Africa : a cross-sectional analysis', Environmental Science and Technology, vol. 58, no. 32, pp. 14059-14594, doi: 10.1021/acs.est.4c02431. en_US
dc.identifier.issn 1994-7887 (print)
dc.identifier.issn 2077-2181 (online)
dc.identifier.other 10.1021/acs.est.4c02431
dc.identifier.uri http://hdl.handle.net/2263/100118
dc.language.iso en en_US
dc.publisher American Chemical Society en_US
dc.rights © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License. en_US
dc.subject One health en_US
dc.subject Food safety en_US
dc.subject Environmental surveillance en_US
dc.subject ExPEC en_US
dc.subject SDG-03: Good health and well-being en_US
dc.subject SDG-06: Clean water and sanitation en_US
dc.subject Antimicrobial resistance (AMR) en_US
dc.subject Whole genome sequencing (WGS) en_US
dc.subject Extended-spectrum β-lactamase (ESBL) en_US
dc.subject Escherichia coli en_US
dc.title Genomic evaluation of multidrug-resistant extended-spectrum β-Lactamase (ESBL)-producing Escherichia coli from irrigation water and fresh produce in South Africa : a cross-sectional analysis en_US
dc.type Article en_US


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