Neglected role of virus-host interactions driving antibiotic resistance genes reduction in an urban river receiving treated wastewater

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Xiaojie Yan , Yuan Xin , Liying Zhu , Qihe Tang , Min Chen , Yuansong Wei , Junya Zhang , Hans Hermann Richnow
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Abstract

Treated wastewater from wastewater treatment plants (WWTPs) is a major contributor to the transfer of antibiotic resistance genes (ARGs) into urban rivers. However, the role of viral communities in this process remains poorly understood. This study focused on North Canal in Beijing, China, which receives over 80 % of its water from treated wastewater, to investigate the impact of viral communities on ARGs transfer. Results showed significant seasonal variation in the abundance and composition of ARGs, with 30 high-risk ARGs detected, accounting for 1.50 % ± 1.28 % of total ARGs. The assembly of ARGs in North Canal followed a stochastic process of homogenizing dispersal, with conjugative mobility playing a key role in horizontal gene transfer with Pseudomonas as primary host for HGT. The potential conjugative mobility of ARGs is significantly higher in wet season (69.4 % ± 17.3 %) compared to dry season (42.9 % ± 17.1 %), with conjugation frequencies ranging from 1.18 × 10–6 to 2.26 × 10–4. Viral species accumulation curves approaching saturation indicated the well captured viral diversity, and no phages carrying ARGs were found among 27,523 non-redundant viral operational taxonomic units. Most of the phages (89.2 % ± 3.8 %) were lytic in North Canal, which were observed to contribute to ARGs reduction by lysing their host bacteria, reflected by higher virus-host ratio and demonstrated by the phage lysis assays in treated wastewater and receiving river. We provided compelling evidence that phage-host interactions can reduce ARGs through host lysis, highlighting their potential role in mitigating ARG transmission in urban rivers receiving treated wastewater.

Abstract Image

Abstract Image

在接收处理过的废水的城市河流中,病毒-宿主相互作用驱动抗生素抗性基因减少的被忽视的作用
污水处理厂(WWTPs)处理后的废水是抗生素抗性基因(ARGs)转移到城市河流的主要贡献者。然而,病毒群落在这一过程中的作用仍然知之甚少。本研究以中国北京北运河为研究对象,研究了病毒群落对ARGs转移的影响,该运河80%以上的用水来自处理过的废水。结果ARGs丰度和组成存在明显的季节变化,共检出高危ARGs 30例,占总ARGs的1.50%±1.28%。北运河ARGs的聚集遵循均匀扩散的随机过程,共轭迁移在水平基因转移中起关键作用,假单胞菌是HGT的主要宿主。雨季ARGs的共轭迁移率(69.4%±17.3%)显著高于旱季(42.9%±17.1%),共轭频率范围为1.18 × 10-6 ~ 2.26 × 10-4。在27523个非冗余的病毒操作分类单位中,没有发现携带ARGs的噬菌体。北运河中大部分噬菌体(89.2%±3.8%)为溶菌体,通过裂解宿主细菌来降低ARGs,处理后的废水和接收河中噬菌体的病毒-宿主比较高。我们提供了令人信服的证据,证明噬菌体-宿主相互作用可以通过宿主裂解减少ARG,强调了它们在接收处理过的废水的城市河流中减少ARG传播的潜在作用。
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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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