Resistance induction potency assessment of antibiotic production wastewater and associated resistome shaping mechanisms

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-05-12 DOI:10.1016/j.watres.2025.123811

Sun Miao, Yanyan Zhang, Linjun Wu, Yongjun Wang, Jiane Zuo

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Abstract

Antibiotic production wastewater (APW) contains multiple substances known to select for and facilitate horizontal gene transfer (HGT) of antibiotic resistance genes (ARGs); however, whether these substances can induce the evolution of antibiotic resistance in real wastewater environments and the fate of such resistance induction potency during the treatment process are poorly understood, nor are its relationship with wastewater quality parameters and function in shaping the antibiotic resistome. In this study, the impacts of filter-sterilized APW and municipal wastewater on the resistance selection of Escherichia coli and the transfer dynamics of conjugative RP4 plasmid-borne ARGs across indigenous sludge communities were evaluated. The resistance development and transfer processes were accelerated in APW owing to enhanced growth inhibition, oxidative stress, and membrane permeability, with antibiotic concentrations much lower than their minimum inhibition concentrations. The effects were reduced simultaneously with the removal of COD and NH₃-N, but APW effluents still exhibited significant resistance induction potency with wastewater quality parameters meeting discharge standards. In contrast, municipal wastewater did not result in any detectable changes. Based on the metagenomic assembly and binning, stronger resistance induction potency in the antibiotic production wastewater treatment plant endowed indigenous sludge and effluent with greater accumulation, genetic mobility, and pathogenic accessibility of ARGs than in the municipal wastewater treatment plant. Antibiotic resistome assembly was determined primarily by deterministic processes, driven jointly by resistance induction potency, mobilome variance, and microbiome shifts. These results provide novel insights into the application of bioassays to comprehensively evaluate the antibiotic resistance induction effects of APW and their relationships with the resistome to manage risks during the treatment process.

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抗生素生产废水的耐药诱导效价评价及相关抗性组形成机制

抗生素生产废水（APW）含有多种已知可选择和促进抗生素抗性基因（ARGs）水平基因转移（HGT）的物质；然而，这些物质是否能在真实的废水环境中诱导抗生素耐药性的演变，以及在处理过程中这种耐药性诱导效力的命运，以及其与废水水质参数的关系以及在形成抗生素抗性组中的作用，都尚不清楚。在本研究中，我们评估了过滤灭菌的APW和城市污水对大肠杆菌耐药性选择的影响，以及共轭RP4质粒携带的ARGs在本地污泥群落中的转移动态。在APW中，由于生长抑制、氧化应激和膜通透性增强，抗生素浓度远低于其最低抑制浓度，加速了耐药性的发展和转移过程。随着COD和NH3-N的去除，这种影响同时减弱，但在废水水质参数满足排放标准的情况下，APW出水仍表现出显著的抗诱导能力。相比之下，城市污水没有导致任何可检测到的变化。基于宏基因组组装和分组，抗生素生产废水处理厂较强的耐药诱导能力赋予了本地污泥和出水比城市污水处理厂更大的ARGs积累、遗传流动性和致病可及性。抗生素耐药组组装主要由确定性过程决定，由耐药诱导效力、移动组变异和微生物组变化共同驱动。这些结果为应用生物测定法综合评价APW的抗生素耐药诱导效应及其与抵抗组的关系以管理治疗过程中的风险提供了新的见解。

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来源期刊

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.