ROS-induced stress promotes enrichment and emergence of antibiotic resistance in conventional activated sludge processes

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-02-22 DOI:10.1016/j.watres.2025.123366
Bharat Manna , Xueyang Zhou , Naresh Singhal
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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.

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活性氧诱导的应激促进传统活性污泥工艺中抗生素耐药性的富集和产生
自从24亿年前的大氧化事件以来,微生物已经进化出了对氧化应激的复杂反应。这些古老的适应性在现代工程系统中仍然相关,特别是在传统的活性污泥(CAS)过程中,它是抗生素抗性基因(ARGs)的重要储存库。虽然已知ros诱导的应激反应可以促进纯培养物中ARG的富集/出现,但它们对废水处理过程中ARG动态的影响仍未被探索。对两家医院污水处理厂进行的散弹-宏基因组学分析表明,最终出水中仅保留35-53%的医院污水抗性组。尽管减少了,但CAS中约29-36%的arg丰度高于上游阶段,其中20-22%是从头出现的。β -内酰胺酶和外排泵占这些富集ARGs的近47-53%。这些arg表现出显著的相关性(p <;0.05),表达ROS应激反应基因(oxyR、soxR、sodAB、katG和ahpCF)。CAS抗性组决定了58-75%的出水ARG分布,表明处理过程在形成最终抗性组方面超过了进水成分。概念验证批次反应器实验证实,与低氧浓度(2 mg/L)相比,高溶解氧(8 mg/L)下ROS和ARG水平增加。在ROS水平升高的情况下,未靶向的宏蛋白质组学显示抗性蛋白(如OXA-184、OXA-576、PME-1、RpoB2、Tet(W/32/O))的表达增加。我们的研究结果表明,CAS过程通过ros介导的选择积极地塑造废水抗性组,这表明处理过程,而不是最初的废水成分,决定了最终的ARG分布。本研究表明,ARGs的出现需要作为废水处理设计和操作的一个组成部分来考虑,以防止抗生素耐药性的传播。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
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