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Temporal Assessment of the Impact of Exposure to Cow Feces in Two Watersheds by Multiple Host-Specific PCR Assays

机译:通过多个宿主特异性PCR分析法评估两个流域中牛粪暴露的时间影响

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Exposure to feces in two watersheds with different management histories was assessed by tracking cattle feces bacterial populations using multiple host-specific PCR assays. In addition, environmental factors affecting the occurrence of these markers were identified. Each assay was performed using DNA extracts from water and sediment samples collected from a watershed directly impacted by cattle fecal pollution (WS1) and from a watershed impacted only through runoff (WS2). In WS1, the ruminant-specific Bacteroidales 16S rRNA gene marker CF128F was detected in 65% of the water samples, while the non-16S rRNA gene markers Bac1, Bac2, and Bac5 were found in 32 to 37% of the water samples. In contrast, all source-specific markers were detected in less than 6% of the water samples from WS2. Binary logistic regressions (BLRs) revealed that the occurrence of Bac32F and CF128F was significantly correlated with season as a temporal factor and watershed as a site factor. BLRs also indicated that the dynamics of fecal-source-tracking markers correlated with the density of a traditional fecal indicator (P < 0.001). Overall, our results suggest that a combination of 16S rRNA gene and non-16S rRNA gene markers provides a higher level of confidence for tracking unknown sources of fecal pollution in environmental samples. This study also provided practical insights for implementation of microbial source-tracking practices to determine sources of fecal pollution and the influence of environmental variables on the occurrence of source-specific markers.
机译:通过使用多种宿主特异性PCR分析法跟踪牛粪细菌种群,评估了两个具有不同管理历史的流域的粪便暴露情况。此外,还确定了影响这些标记物发生的环境因素。每次检测均使用DNA和水提取物提取物进行的DNA提取,水和沉积物是从直接受到牛粪污染影响的流域(WS1)和仅受径流影响的流域(WS2)收集的。在WS1中,在65%的水样本中检测到了反刍动物特有的细菌16S rRNA基因标记CF128F,而在16%的水样中发现了非16S rRNA基因标记Bac1,Bac2和Bac5。水样本。相反,在少于WS2的水样本的6%中检测到了所有特定于源的标记。二进制logistic回归(BLR)显示,Bac32F和CF128F的发生与季节(作为时间因素)和分水岭(作为地点因素)显着相关。 BLRs还表明,粪便源追踪标记的动态与传统粪便指示剂的密度相关(P <0.001)。总体而言,我们的研究结果表明,结合使用16S rRNA基因和非16S rRNA基因标记可提供更高的置信度,以追踪环境样品中未知的粪便污染源。这项研究还为实施微生物源追踪实践提供了实用的见解,以确定粪便污染的来源以及环境变量对特定来源标记物的影响。

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