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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Stoppe, Nancy De Castro [1, 2] ; Silva, Juliana Saragiotto [2, 3] ; Torres, Tatiana Teixeira [4, 2] ; Carlos, Camila [1] ; Hachich, Elayse Maria [5] ; Zanoli Sato, Maria Ines [5] ; Saraiva, Antonio Mauro [2, 6] ; Mariscal Ottoboni, Laura Maria [1]
Total Authors: 8
Affiliation:
[1] Univ Estadual Campinas, Ctr Biol Mol & Engn Genet, BR-13083875 Campinas, SP - Brazil
[2] Univ Sao Paulo, Nucleo Pesquisa Biodiversidade & Computacao, Sao Paulo - Brazil
[3] Inst Fed Educ Ciencia & Tecnol Mato Grosso, Cuiaba, MT - Brazil
[4] Univ Sao Paulo, Inst Biociencias, Dept Genet & Biol Evolut, Sao Paulo - Brazil
[5] Co Tecnol Saneamento Ambiental, Dept Anal Ambientais, Sao Paulo - Brazil
[6] Univ Sao Paulo, Escola Politecn, Dept Engn Computacao & Sistemas Digitais, Sao Paulo, SP - Brazil
Total Affiliations: 6
Document type: Journal article
Source: GENETICS AND MOLECULAR BIOLOGY; v. 37, n. 4, p. 694-701, 2014.
Web of Science Citations: 3
Abstract

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 B2(3) 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. (AU)

FAPESP's process: 10/15222-0 - MARKERS PROSPECTION FOR FECAL CONTAMINATION SOURCE TRACKING ON SUPERFICIAL WATERS IN SÃO PAULO STATE
Grantee:Nancy de Castro Stoppe
Support Opportunities: Scholarships in Brazil - Doctorate