dc.creatorCarlos, C
dc.creatorAlexandrino, F
dc.creatorStoppe, NC
dc.creatorSato, MIZ
dc.creatorOttoboni, LMM
dc.date2012
dc.dateJAN
dc.date2014-07-30T19:16:35Z
dc.date2015-11-26T16:55:47Z
dc.date2014-07-30T19:16:35Z
dc.date2015-11-26T16:55:47Z
dc.date.accessioned2018-03-28T23:43:11Z
dc.date.available2018-03-28T23:43:11Z
dc.identifierJournal Of Environmental Management. Academic Press Ltd- Elsevier Science Ltd, v. 93, n. 1, n. 38, n. 43, 2012.
dc.identifier0301-4797
dc.identifier1095-8630
dc.identifierWOS:000297971000005
dc.identifier10.1016/j.jenvman.2011.08.012
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/73272
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/73272
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1277211
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionRepetitive element sequence-based polymerase chain reaction (rep-PCR) is one of the commonest methods used to identify sources of fecal contamination of water systems. In this work, BOX-A1R-based repetitive extragenic palindromic-PCR (BOX-PCR) was used to discriminate Escherichia coli strains originating from different animals and water sources, and the suitability of the technique for bacterial source tracking (BST) was evaluated. A total of 214 strains from humans, 150 strains from animals, 55 strains from sewage and 77 strains from water bodies were analyzed by the BOX-PCR technique. When maximum similarity between the fingerprints was used, a correct classification rate of 84% was achieved for strains from human and animal sources. Furthermore, 95% of the strains found in sewage were classified as being from human sources by at least one of the four classification tools used. Classification of the strains found in water bodies in the State of Sao Paulo was based on the fingerprints obtained for human and animal sources. Most of the sampling sites appeared to be affected by mixed sources of fecal contamination. The use of BOX-PCR for BST could be especially valuable in developing countries, where simplicity and cost are important considerations. (C) 2011 Elsevier Ltd. All rights reserved.
dc.description93
dc.description1
dc.description38
dc.description43
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFAPESP [2007/55312-6, 2007/57025-4]
dc.languageen
dc.publisherAcademic Press Ltd- Elsevier Science Ltd
dc.publisherLondon
dc.publisherInglaterra
dc.relationJournal Of Environmental Management
dc.relationJ. Environ. Manage.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectBacterial source tracking
dc.subjectBOX-PCR
dc.subjectEscherichia coli
dc.subjectFecal contamination
dc.subjectBacterial Source Tracking
dc.subjectExtragenic Palindromic-pcr
dc.subjectRepetitive Dna-sequences
dc.subjectComposite Data Sets
dc.subjectDiscriminant-analysis
dc.subjectWild-animals
dc.subjectIdentification
dc.subjectPopulations
dc.subjectPollution
dc.subjectPatterns
dc.titleUse of Escherichia coli BOX-PCR fingerprints to identify sources of fecal contamination of water bodies in the State of Sao Paulo, Brazil
dc.typeArtículos de revistas


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