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Bacterial Source Tracking in Impaired Watersheds: Evaluation of Culture-Dependent and -Independent Methods for Increased Source Specificity and Improved Management

机译:受损流域中细菌来源的追踪:评估文化依赖性和非依赖性方法以提高来源特异性和改善管理

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摘要

Bacterial contamination due to excessive levels of bacteria is a confounding problem and remediation of impaired watersheds relies on the detection of fecal indicator bacteria and then assessing the source of said bacteria. Bacterial source tracking (BST) is an approach for assessing potential sources of this contamination. The purpose of this study was to utilize both cultivation-independent and ?dependent methods to improve the ability to track sources of fecal contamination. First, E. coli community composition was assessed across three standard water quality assessments including USEPA Methods 1603 and 1604, and Colilert?, to determine their impact on BST library-based performance. Results indicate that the three assessed methods of enumeration and isolation may select for different populations of E. coli and standardized methods may be warranted if library-dependent BST is part of a research plan. Next, BST techniques were used to enumerate and characterize E. coli communities across various dairy manure management techniques used in the Leon River watershed in central Texas to determine effectiveness of BST efforts in tracking contamination from dairy manure. Results of this study indicated that manure and effluent management strategies which employed means to remove solids from the manure tended to decrease the levels of E. coli in the effluent. Some E. coli genotypes were found across the managerial treatments even though there were no clear seasonal trends or site groupings among the dataset. The vast majority of the isolates classified using the Texas E. coli BST library were correctly classified back to their major source class, thus increasing confidence in the methods currently being utilized to track dairy fecal contributions in this Central Texas watershed. Finally, deer bacterial fecal communities from south and central Texas were analyzed using 454-pyrosequencing to assess the potential for the development of a deer-specific BST marker. Microbial communities did not cluster by site or year suggesting that deer fecal communities in these Texas regions are stable over time and could be amenable to marker development.
机译:由于过量细菌引起的细菌污染是一个混杂的问题,流域受损的修复要依靠粪便指示细菌的检测,然后评估所述细菌的来源。细菌来源跟踪(BST)是一种评估这种污染潜在来源的方法。这项研究的目的是利用不依赖培养的方法和依赖?的方法来提高追踪粪便污染源的能力。首先,通过包括USEPA方法1603和1604以及Colilert?在内的三项标准水质评估对大肠杆菌群落组成进行了评估,以确定它们对基于BST库的性能的影响。结果表明,三种评估的枚举和分离方法可以为不同的大肠杆菌群选择,并且如果依赖库的BST是研究计划的一部分,则可能需要标准化的方法。接下来,BST技术被用于枚举和表征德克萨斯州中部莱昂河分水岭所使用的各种奶牛粪便管理技术中的大肠杆菌群落,以确定BST努力追踪奶牛粪便污染的有效性。这项研究的结果表明,粪便和废水处理策略采用了从粪便中去除固体的方法,往往会降低废水中的大肠杆菌水平。即使在数据集中没有明显的季节性趋势或站点分组,在整个管理过程中也发现了一些大肠杆菌基因型。使用Texas E. coli BST文库分类的绝大多数分离株已正确分类回到其主要来源类别,从而提高了对目前用于追踪该德克萨斯中部流域奶牛粪便贡献的方法的信心。最后,使用454-焦磷酸测序对得克萨斯州南部和中部地区的鹿粪便菌群进行了分析,以评估开发鹿特异性BST标记物的潜力。微生物群落没有按地点或年份聚类,这表明这些得克萨斯州地区的鹿粪便群落随着时间的推移是稳定的,并可能适应标记的发展。

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    Martin Emily C;

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  • 年度 2013
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  • 正文语种 en
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