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dc.contributor.CRUESPUniversidade Estadual de Campinaspt_BR
dc.typeArtigo de periódicopt_BR
dc.titleParity among interpretation methods of MLEE patterns and disparity among clustering methods in epidemiological typing of Candida albicanspt_BR
dc.contributor.authorBoriollo, MFGpt_BR
dc.contributor.authorRosa, EARpt_BR
dc.contributor.authorGoncalves, RBpt_BR
dc.contributor.authorHofling, JFpt_BR
unicamp.authorUniv Estadual Campinas, Dent Sch Piracicaba, Dept Oral Diagnost, Lab Microbiol & Immunol, BR-13414903 Piracicaba, SP, Brazil Pontifical Catholic Univ Parana, Ctr Biol & Hlth Sci, Stomatol Lab, Curitiba, Parana, Brazilpt_BR
dc.subjectCandida albicanspt_BR
dc.subjectMLEE patternspt_BR
dc.subjectinterpretation methodspt_BR
dc.subjectcluster analysispt_BR
dc.subject.wosMultilocus Enzyme Electrophoresispt_BR
dc.subject.wosAmplified Polymorphic Dnapt_BR
dc.subject.wosHiv-infected Patientspt_BR
dc.subject.wosAntifungal Susceptibilitiespt_BR
dc.subject.wosOropharyngeal Candidiasispt_BR
dc.subject.wosGenic Heterozygositypt_BR
dc.description.abstractThe typing of C. albicans by MLEE (multilocus enzyme electrophoresis) is dependent on the interpretation of enzyme electrophoretic patterns, and the study of the epidemiological relationships of these yeasts can be conducted by cluster analysis. Therefore, the aims of the present study were to first determine the discriminatory power of genetic interpretation (deduction of the allelic composition of diploid organisms) and numerical interpretation (mere determination of the presence and absence of bands) of MLEE patterns, and then to determine the concordance (Pearson product-moment correlation coefficient) and similarity (Jaccard similarity coefficient) of the groups of strains generated by three cluster analysis models, and the discriminatory power of such models as well [model A: genetic interpretation, genetic distance matrix of Nei (d(ij)) and UPGMA dendrogram; model B: genetic interpretation, Dice similarity matrix (S-D1) and UPGMA dendrogram; model C: numerical interpretation, Dice similarity matrix (S-D2) and UPGMA dendrogram]. MLEE was found to be a powerful and reliable tool for the typing of C. albicans due to its high discriminatory power (>0.9). Discriminatory power indicated that numerical interpretation is a method capable of discriminating a greater number of strains (47 versus 43 subtypes), but also pointed to model B as a method capable of providing a greater number of groups, suggesting its use for the typing of C. albicans by MLEE and cluster analysis. Very good agreement was only observed between the elements of the matrices S-D1 and S-D2, but a large majority of the groups generated in the three UPGMA dendrograms showed similarity S-J between 4.8% and 75%, suggesting disparities in the conclusions obtained by the cluster assays. (C) 2005 Elsevier B.V. All rights
dc.relation.ispartofJournal Of Microbiological Methodspt_BR
dc.relation.ispartofabbreviationJ. Microbiol. Methodspt_BR
dc.publisherElsevier Science Bvpt_BR
dc.identifier.citationJournal Of Microbiological Methods. Elsevier Science Bv, v. 64, n. 3, n. 346, n. 365, 2006.pt_BR
dc.sourceWeb of Sciencept_BR
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