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Incorporating Expert Judgments in Utility Evaluation of Bacteroidales qPCR Assays for Microbial Source Tracking in a Drinking Water Source

机译:在饮用水源中微生物源追踪的细菌qPCR分析实用性评估中纳入专家判断

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摘要

Several assays for the detection of host-specific genetic markers of the order Bacteroidales have been developed and used for microbial source tracking (MST) in environmental waters. It is recognized that the source-sensitivity and source-specificity are unknown and variable when introducing these assays in new geographic regions, which reduces their reliability and use. A Bayesian approach was developed to incorporate expert judgments with regional assay sensitivity and specificity assessments in a utility evaluation of a human and a ruminant-specific qPCR assay for MST in a drinking water source. Water samples from Lake Radasjon were analyzed for E. coli, intestinal enterococci and somatic coliphages through cultivation and for human (BacH) and ruminant-specific (BacR) markers through qPCR assays. Expert judgments were collected regarding the probability of human and ruminant fecal contamination based on fecal indicator organism data and subjective information. Using Bayes formula, the conditional probability of a true human or ruminant fecal contamination given the presence of BacH or BacR was determined stochastically from expert judgments and regional qPCR assay performance, using Beta distributions to represent uncertainties. A web-based computational tool was developed for the procedure, which provides a measure of confidence to findings of host-specific markers and demonstrates the information value from these assays.
机译:已经开发了几种用于检测拟杆菌属宿主特异性遗传标记的测定方法,并将其用于环境水域中的微生物来源跟踪(MST)。人们认识到,将这些检测方法引入新的地理区域时,其来源敏感性和来源特异性未知且可变,这降低了它们的可靠性和使用率。开发了一种贝叶斯方法,将专家判断与区域化验灵敏度和特异性评估相结合,用于饮用水源中MST的人和反刍动物特异性qPCR分析的效用评估。通过培养分析了Radasjon湖的水样中的大肠杆菌,肠球菌和体细胞噬菌体,并通过qPCR分析法分析了人(BacH)和反刍动物特异性(BacR)标记。根据粪便指示物数据和主观信息,收集了有关人类和反刍动物粪便污染可能性的专家判断。使用贝叶斯公式,根据专家判断和区域qPCR分析性能,使用Beta分布表示不确定性,随机确定给定BacH或BacR存在的情况下真实人类或反刍动物粪便污染的条件概率。为此程序开发了一个基于Web的计算工具,该工具可对宿主特异性标记物的发现进行置信度测量,并展示来自这些测定的信息价值。

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  • 来源
    《Environmental Science & Technology》 |2015年第3期|1311-1318|共8页
  • 作者单位

    Tyrens AB, Lilla Badhusgatan 2, SE-411 21 Gothenburg, Sweden;

    Water Environment Technology, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

    Interuniversity Center Water & Health, Institute of Chemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1a/166-5-2, A-1060 Vienna, Austria;

    Department of Mathematical Sciences, University of Gothenburg and Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

    Department of Chemistry and Molecular Biology, Microbiology, University of Gothenburg, SE-405 30 Gothenburg, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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