{"title":"ROS-Induced Stress Promotes Enrichment and Emergence of Antibiotic Resistance in Conventional Activated Sludge Processes","authors":"Bharat Manna, Xueyang Zhou, Naresh Singhal","doi":"10.1016/j.watres.2025.123366","DOIUrl":null,"url":null,"abstract":"Since the Great Oxidation Event 2.4 billion years ago, microorganisms have evolved sophisticated responses to oxidative stress. These ancient adaptations remain relevant in modern engineered systems, particularly in conventional activated sludge (CAS) processes, which serve as significant reservoirs of antibiotic resistance genes (ARGs). While ROS-induced stress responses are known to promote ARG enrichment/emergence in pure cultures, their impact on ARG dynamics in wastewater treatment processes remains unexplored. Shotgun-metagenomics analysis of two hospital wastewater treatment plants showed that only 35-53% of hospital effluent resistome was retained in final effluent. Despite this reduction, approximately 29-36% of ARGs in CAS showed higher abundance than upstream stages, of which 20-22% emerged <em>de novo</em>. Beta-lactamases and efflux pumps constituted nearly 47-53% of these enriched ARGs. These ARGs exhibited significant correlations (<em>p</em> < 0.05) with ROS stress response genes (<em>oxyR, soxR, sodAB, katG</em> and <em>ahpCF</em>). The CAS resistome determined 58-75% of the effluent ARG profiles, indicating treatment processes outweigh influent composition in shaping final resistome. Proof-of-concept batch reactor experiments confirmed increased ROS and ARG levels under high dissolved oxygen (8 mg/L) compared to low oxygen (2 mg/L) concentrations. Untargeted metaproteomics revealed higher expression of resistant proteins (<em>e.g.</em>, OXA-184, OXA-576, PME-1, RpoB2, Tet(W/32/O)) under elevated ROS levels. Our findings demonstrate that CAS processes actively shape effluent resistome through ROS-mediated selection, indicating that treatment processes, rather than initial wastewater composition, determine final ARG profiles. This study indicates that the emergence of ARGs needs to be considered as an integral aspect of wastewater treatment design and operation to prevent antibiotic resistance dissemination.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"24 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.123366","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Since the Great Oxidation Event 2.4 billion years ago, microorganisms have evolved sophisticated responses to oxidative stress. These ancient adaptations remain relevant in modern engineered systems, particularly in conventional activated sludge (CAS) processes, which serve as significant reservoirs of antibiotic resistance genes (ARGs). While ROS-induced stress responses are known to promote ARG enrichment/emergence in pure cultures, their impact on ARG dynamics in wastewater treatment processes remains unexplored. Shotgun-metagenomics analysis of two hospital wastewater treatment plants showed that only 35-53% of hospital effluent resistome was retained in final effluent. Despite this reduction, approximately 29-36% of ARGs in CAS showed higher abundance than upstream stages, of which 20-22% emerged de novo. Beta-lactamases and efflux pumps constituted nearly 47-53% of these enriched ARGs. These ARGs exhibited significant correlations (p < 0.05) with ROS stress response genes (oxyR, soxR, sodAB, katG and ahpCF). The CAS resistome determined 58-75% of the effluent ARG profiles, indicating treatment processes outweigh influent composition in shaping final resistome. Proof-of-concept batch reactor experiments confirmed increased ROS and ARG levels under high dissolved oxygen (8 mg/L) compared to low oxygen (2 mg/L) concentrations. Untargeted metaproteomics revealed higher expression of resistant proteins (e.g., OXA-184, OXA-576, PME-1, RpoB2, Tet(W/32/O)) under elevated ROS levels. Our findings demonstrate that CAS processes actively shape effluent resistome through ROS-mediated selection, indicating that treatment processes, rather than initial wastewater composition, determine final ARG profiles. This study indicates that the emergence of ARGs needs to be considered as an integral aspect of wastewater treatment design and operation to prevent antibiotic resistance dissemination.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.