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利用大肠杆菌的系统发育分组和微生物来源追踪(非特异性物种、人类特异性、牛特异性拟杆菌标记物)来阐明加拿大安大略省东南部的水文(地质)污染机制。

The use of E. coli phylogrouping and microbial source tracking (non-species specific, human-specific, bovine-specific bacteroidales markers) to elucidate hydro(geo)logical contamination mechanisms in southeastern Ontario, Canada.

机构信息

School of Environmental Studies, Queen's University, Kingston, Ontario, Canada; Public Health Ontario, Kingston, Ontario, Canada.

Technological University Dublin, Dublin, Ireland.

出版信息

Environ Pollut. 2024 Dec 15;363(Pt 1):125080. doi: 10.1016/j.envpol.2024.125080. Epub 2024 Oct 5.

Abstract

In Ontario, monitoring, maintenance, and treatment of private drinking systems (e.g. wells) are the responsibility of the well owner. Fecal contamination of drinking water threatens public health, particularly in rural communities which are often fully reliant on unregulated private groundwater as a primary drinking water source. Private well users face a higher risk of acute gastrointestinal illness compared to those served by municipally operated systems (Murphy et al., 2016). Accordingly, the current study sought to characterize the fecal indicator, E. coli, isolated from southeastern Ontario private groundwater wells, including phylogroups and host source. Results were examined in the context of antecedent climate and local hydrogeological setting to elucidate likely contaminant sources and pathways. A total of 737 E. coli isolates from 260 private wells were assigned to phylogroups using the Clermont PCR phylotyping method, with likely host source determined using host-specific Bacteroidales 16S rRNA RT qPCR assays. Multivariate models were developed for the main E. coli phylogroups (A, B1, B2, and D) and all microbial source tracking markers. Models were coupled for interpretation where possible, based on associations between phylogroups and MST markers. Preferential subsurface flow, and to a lesser degree, overland flow, were likely mechanisms of contamination across all models. Distinct temporal associations were found based on the fecal source. Multiple models were developed and will be discussed, in an attempt to elucidate source-specific contamination mechanisms, in support of risk assessment and appropriate protective actions.

摘要

在安大略省,私人饮用水系统(如水井)的监测、维护和处理是水井所有者的责任。饮用水的粪便污染威胁着公共健康,特别是在农村社区,这些社区通常完全依赖不受监管的私人地下水作为主要饮用水源。与那些由市营系统供水的人相比,私人水井使用者患急性胃肠道疾病的风险更高(Murphy 等人,2016 年)。因此,本研究旨在描述安大略省东南部私人地下水中分离出的粪便指示菌大肠杆菌,包括其菌群和宿主来源。结果是在考虑到先前的气候和当地水文地质背景的情况下进行检查的,以阐明可能的污染物来源和途径。使用 Clermont PCR 分型方法对 260 口私人水井中的 737 株大肠杆菌进行了菌群分组,并用宿主特异性 Bacteroidales 16S rRNA RT qPCR 检测确定了可能的宿主来源。为主要大肠杆菌菌群(A、B1、B2 和 D)和所有微生物源追踪标记物开发了多元模型。尽可能根据菌群和 MST 标记之间的关联对模型进行了耦合解释。优先的地下水流,以及较小程度的地表水流,可能是所有模型中污染的机制。基于粪便来源,发现了不同的时间关联。将开发并讨论多个模型,以试图阐明特定来源的污染机制,支持风险评估和适当的保护措施。

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