National-Scale Insights into AMR Transmission Along the Wastewater-Environment Continuum

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Margaret E. Knight, Kata Farkas, Adriana Kiss, Davey L. Jones
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Abstract

The circulation of antimicrobial resistance (AMR) bacteria between human populations and the environment is a key driver of the global AMR burden, with wastewater acting as a major route of transmission. In this nationwide study, influent and effluent samples were collected from 47 municipal wastewater treatment plants (WWTPs) across Wales, covering areas of varying sociodemographics and representing approximately 66% of the population connected to the main sewer network. Additionally, 76 river and estuarine sediment samples were collected upstream and downstream of the WWTPs, as well as from nearby recreational beaches. High-throughput qPCR was used to quantify 76 antimicrobial resistance genes (ARGs), 10 mobile genetic elements and 5 pathogens. Our analyses revealed that the absolute abundance and composition of the influent resistome was influenced by increasing WWTP catchment population size and density. Significant shifts in the resistome were observed following the wastewater treatment process, with the biological treatment stage identified as a critical determinant of AMR removal efficiency. WWTPs using biological filter beds were found to be more effective in reducing ARG relative abundances compared to those employing activated sludge processes. Despite the presence of ARGs in the effluent, the abundance and diversity of the river sediment resistomes did not increase downstream of the WWTPs. However, the presence of a resistome was found in all sediment samples, with varying compositions influenced by WWTP size and sediment source. Altogether, these findings highlight the complex and interconnected factors that shape the resistome across the wastewater-environment continuum, highlighting the need for comprehensive, nationwide surveillance studies to inform targeted interventions and mitigate the spread of AMR.

Abstract Image

抗菌药耐药性 (AMR) 细菌在人类和环境之间的传播是造成全球 AMR 负担的主要原因,而废水则是主要的传播途径。在这项全国性研究中,我们从威尔士的 47 家市政污水处理厂 (WWTP) 采集了进水和出水样本,这些污水处理厂覆盖了不同社会人口分布的地区,约占接入主污水管网人口的 66%。此外,还在污水处理厂的上游和下游以及附近的休闲海滩收集了 76 份河流和河口沉积物样本。我们使用高通量 qPCR 对 76 个抗菌药耐药性基因 (ARG)、10 个移动遗传因子和 5 种病原体进行了定量分析。我们的分析表明,进水抗药性基因组的绝对丰度和组成受污水处理厂集水区人口规模和密度增加的影响。在废水处理过程中,我们观察到抗药性组发生了显著变化,生物处理阶段被认为是决定 AMR 去除效率的关键因素。与采用活性污泥法的污水处理厂相比,采用生物滤床的污水处理厂能更有效地降低 ARG 的相对丰度。尽管污水中存在 ARGs,但在污水处理厂下游,河流沉积物抗性体的丰度和多样性并未增加。不过,在所有沉积物样本中都发现了抗性组,其组成受污水处理厂规模和沉积物来源的影响而各不相同。总之,这些发现凸显了在废水-环境连续体中形成抗药性组的复杂而相互关联的因素,强调了进行全面的全国性监测研究的必要性,以便为有针对性的干预措施提供信息,并减缓 AMR 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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