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  5. High-Throughput Qpcr Profiling of Antimicrobial Resistance and Bacterial Loads in Wastewater and Receiving Environments: A Risk Assessment

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Preprint
English
2025

High-Throughput Qpcr Profiling of Antimicrobial Resistance and Bacterial Loads in Wastewater and Receiving Environments: A Risk Assessment

0 Datasets

0 Files

English
2025
DOI: 10.2139/ssrn.5069811

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Davey L Jones
Davey L Jones

Bangor University

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Reshma Silvester
Nick Woodhall
William Nurmi
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Abstract

Wastewater treatment plants (WWTPs) are hot spots for the acquisition and spread of antimicrobial resistance (AMR). This regional-based study quantified antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), and bacteria in hospital and community-derived wastewater and receiving environments, using high-throughput qPCR (HT-qPCR). This is the first study to apply Resistomap's Antibiotic Resistance Gene Index (ARGI) to find the overall ARG load in wastewater for AMR risk assessment. ARGI of WWTPs ranged from 2.0 to 2.3, indicating higher relative ARG levels than the mean European ARGI of 2.0, but lower than the global mean of 2.4. The highest diversity and abundance of ARGs were observed in untreated hospital and community wastewater. The reduction of total ARGs during wastewater treatment (0.2- 2 logs) and bacteria (0.3-1.5 logs) varied spatio-temporally across the WWTPs. Despite a decrease in ARG and bacterial abundance in treated effluents, substantial loads were still released into receiving environments. Notably, ARG levels in coastal sediments were comparable to those in untreated wastewater, and most ARGs were shared between wastewater and receiving environments, highlighting the impact of wastewater discharge on these ecosystems. Sewage outfall exposure increased ARGs in shellfish, emphasising risks to shellfish hygiene. This study provides evidence to inform policymaking, emphasising advanced wastewater treatment methods and combined storm overflow (CSO) management to mitigate ARG release, protecting water users and the food chain.

How to cite this publication

Reshma Silvester, Nick Woodhall, William Nurmi, Windi Muziasari, Kata Farkas, Gareth Cross, Shelagh K. Malham, Davey L Jones (2025). High-Throughput Qpcr Profiling of Antimicrobial Resistance and Bacterial Loads in Wastewater and Receiving Environments: A Risk Assessment. , DOI: 10.2139/ssrn.5069811.

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Publication Details

Type

Preprint

Year

2025

Authors

8

Datasets

0

Total Files

0

Language

English

DOI

10.2139/ssrn.5069811

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