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Clustering Of Water Bodies In Unpolluted And Polluted Environments Based On Escherichia Coli Phylogroup Abundance Using A Simple Interaction Database.

机译:使用简单的交互数据库,基于大肠杆菌的植物群的富集度,在无污染和受污染的环境中对水体进行聚类。

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摘要

Different types of water bodies, including lakes, streams, and coastal marine waters, are often susceptible to fecal contamination from a range of point and nonpoint sources, and have been evaluated using fecal indicator microorganisms. The most commonly used fecal indicator is Escherichia coli, but traditional cultivation methods do not allow discrimination of the source of pollution. The use of triplex PCR offers an approach that is fast and inexpensive, and here enabled the identification of phylogroups. The phylogenetic distribution of E. coli subgroups isolated from water samples revealed higher frequencies of subgroups A1 and B23 in rivers impacted by human pollution sources, while subgroups D1 and D2 were associated with pristine sites, and subgroup B1 with domesticated animal sources, suggesting their use as a first screening for pollution source identification. A simple classification is also proposed based on phylogenetic subgroup distribution using the w-clique metric, enabling differentiation of polluted and unpolluted sites.
机译:不同类型的水体,包括湖泊,溪流和沿海海水,通常容易受到来自各种点源和非点源的粪便污染,并已使用粪便指示剂微生物进行了评估。最常用的粪便指示剂是大肠杆菌,但传统的耕种方法无法区分污染源。三重PCR的使用提供了一种快速且廉价的方法,在这里可以鉴定系统群。从水样中分离出的大肠杆菌亚群的系统发育分布表明,在受人类污染源影响的河流中,A1和B23亚群的发生频率较高,而D1和D2亚群与原始地点相关,而B1亚群与家养动物源相关,表明它们的使用作为对污染源识别的首次筛选。还提出了使用w-clique指标基于系统发生亚组分布进行简单分类的方法,可以区分受污染和未受污染的地点。

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