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Differential decay of human faecal Bacteroides in marine and freshwater

机译:人类粪便中的拟杆菌在海洋和淡水中的衰变

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摘要

Genetic markers from Bacteroides and other faecal bacteria are being tested for inclusion in regulations to quantify aquatic faecal contamination and estimate public health risk. For the method to be used quantitatively across environments, persistence and decay of markers must be understood. We measured concentrations of contaminant molecular markers targeting Enterococcus and Bacteroides spp. in marine and freshwater microcosms spiked with human sewage and exposed to either sunlight or dark treatments. We used Bayesian statistics with a delayed Chick-Watson model to estimate kinetic parameters for target decay. DNA- and RNA-based targets decayed at approximately the same rate. Molecular markers persisted (could be detected) longer in marine water. Sunlight increased the decay rates of cultured indicators more than those of molecular markers; sunlight also limited persistence of molecular markers. Within each treatment, Bacteroides markers had similar decay profiles, but some Bacteroides markers significantly differed in decay rates. The role of extracellular DNA in persistence appeared unimportant in the microcosms. Because conditions were controlled, microcosms allowed the effects of specific environmental variables on marker persistence and decay to be measured. While marker decay profiles in more complex environments would be expected to vary from those observed here, the differences we measured suggest that water matrix is an important factor affecting quantitative source tracking and microbial risk assessment applications.
机译:正在测试将拟杆菌和其他粪便细菌的遗传标记纳入法规中,以量化水生粪便的污染并评估公共健康风险。为了在整个环境中定量使用该方法,必须了解标记的持久性和衰减性。我们测量了针对肠球菌和拟杆菌属的污染物分子标记物的浓度。在海洋和淡水的缩影中掺入了人类的污水,​​并暴露于日光或黑暗处理之下。我们使用贝叶斯统计量和延迟的Chick-Watson模型来估计目标衰减的动力学参数。基于DNA和RNA的靶标以大约相同的速率衰减。分子标记物在海水中持续存在(可以被检测到)的时间更长。阳光比分子标记增加了培养指标的衰减率。阳光也限制了分子标记的持久性。在每种处理中,拟杆菌的标记物具有相似的衰变特征,但某些拟杆菌的标记物的衰变率显着不同。在微观世界中,细胞外DNA在持久性中的作用似乎并不重要。因为条件是受控的,所以缩影允许测量特定环境变量对标记物持久性和衰减的影响。尽管在更复杂的环境中标记物的衰减曲线可能会与此处观察到的有所不同,但我们测得的差异表明,水基质是影响定量来源跟踪和微生物风险评估应用的重要因素。

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