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Enterococcus spp. 和 Escherichia coli 可培养细胞和分子标记物在淡水和海水环境中的差异衰减及其持久性的预测。

Differential decay and prediction of persistence of Enterococcus spp. and Escherichia coli culturable cells and molecular markers in freshwater and seawater environments.

机构信息

Rivages Pro Tech, 2, Allée Théodore Monod, 64210, Bidart, France.

Suez, CIRSEE, 38 rue du président Wilson, 78230, Le Pecq, France.

出版信息

Int J Hyg Environ Health. 2019 May;222(4):695-704. doi: 10.1016/j.ijheh.2019.04.011. Epub 2019 May 13.

Abstract

To quantify the impact of fecal pollution on the microbiological bathing water quality, predictive modeling is being increasingly used in which the decay rate of the fecal indicators plays an important role. The decay of sewage-sourced enterococci and Escherichia coli culturable cells and their associated molecular markers (16SrRNA) quantified by Quantitative Reverse transcription PCR were measured in controlled microcosms as well in in situ conditions using different water types, from marine waters to fresh waters with intermediate salinity. All bacterial decays were fitted to a first order decay model. In the laboratory study, the light radiation was the most influent factor affecting E. coli and enterococci survival by culture methods although environmental conditions weakly impacted the decay of molecular markers. The results also indicated differential persistence of genetic markers and culturable organisms of fecal indicator bacteria in different water systems. For each bacteria indicator and analytical method, four equations were obtained to predict the time required to have a 90% reduction (T90) according irradiance, salinity and temperature parameters. The weighted model RMSE (Root Mean Square Error) calculated for all field experiments showed that quantification obtained with the equations defined by laboratory-based study compared reasonably well with in-situ observed quantification (0.4 and 0.2 log by standard culture methods for E. coli and Enterococcus spp. and 0.6 and 0.3 log by RT-qPCR for E. coli and Enterococcus spp. respectively). The modeling tool can be used to predict the presence of fecal pollution in marine and fresh waters in combination with either culture based- or rapid molecular methods.

摘要

为了量化粪便污染对微生物沐浴水质的影响,预测模型越来越多地被应用,其中粪便指标的衰减率起着重要作用。通过定量逆转录 PCR 定量测量了控制微宇宙中和原位条件下不同水类型(从海水到中等盐度的淡水)中可培养的污水肠球菌和大肠杆菌以及其相关分子标记物(16SrRNA)的衰减。所有细菌衰减均拟合为一级衰减模型。在实验室研究中,尽管环境条件对分子标记物的衰减影响较弱,但光照是通过培养方法影响大肠杆菌和肠球菌存活的最主要因素。结果还表明,遗传标记物和粪便指示菌的可培养生物在不同水系统中的持久性存在差异。对于每种细菌指示物和分析方法,都获得了四个方程式,以根据辐照度、盐度和温度参数预测达到 90%减少所需的时间(T90)。所有现场实验的加权模型 RMSE(均方根误差)表明,基于实验室研究定义的方程与原位观察到的定量结果相比,定量结果相当吻合(用标准培养方法对大肠杆菌和肠球菌属进行定量,分别为 0.4 和 0.2 对数,用 RT-qPCR 对大肠杆菌和肠球菌属进行定量,分别为 0.6 和 0.3 对数)。该建模工具可与基于培养的或快速分子方法相结合,用于预测海洋和淡水中粪便污染的存在。

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