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Clustering of water bodies in unpolluted and polluted environments based on Escherichia coli phylogroup abundance using a simple interaction database

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...

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Detalles Bibliográficos
Autores principales: de Castro Stoppe, Nancy, Silva, Juliana Saragiotto, Torres, Tatiana Teixeira, Carlos, Camila, Hachich, Elayse Maria, Sato, Maria Inês Zanoli, Saraiva, Antonio Mauro, Ottoboni, Laura Maria Mariscal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261969/
https://www.ncbi.nlm.nih.gov/pubmed/25505844
http://dx.doi.org/10.1590/S1415-47572014005000016
Descripción
Sumario: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 A(1) and B2(3) in rivers impacted by human pollution sources, while subgroups D(1) and D(2) 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.