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dc.contributor.authorGomes Boriollo, Marcelo Fabiano-
dc.contributor.authorDias, Ricardo Antunes-
dc.contributor.authorFiorini, Joao Evangelista-
dc.contributor.authorSilva Oliveira, Nelma de Mello-
dc.contributor.authorPalomari Spolidorio, Denise Madalena-
dc.contributor.authorBarbosa de Souza, Henrique Marques-
dc.contributor.authorde Oliveira Figueira, Antonio Vargas-
dc.contributor.authorPizzirani-Kleiner, Aline Aparecida-
dc.date.accessioned2014-05-20T13:46:14Z-
dc.date.accessioned2016-10-25T17:00:01Z-
dc.date.available2014-05-20T13:46:14Z-
dc.date.available2016-10-25T17:00:01Z-
dc.date.issued2010-09-01-
dc.identifierhttp://dx.doi.org/10.1016/j.mimet.2010.06.012-
dc.identifier.citationJournal of Microbiological Methods. Amsterdam: Elsevier B.V., v. 82, n. 3, p. 265-281, 2010.-
dc.identifier.issn0167-7012-
dc.identifier.urihttp://hdl.handle.net/11449/16339-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/16339-
dc.description.abstractVarious molecular systems are available for epidemiological, genetic, evolutionary, taxonomic and systematic studies of innumerable fungal infections, especially those caused by the opportunistic pathogen C. albicans. A total of 75 independent oral isolates were selected in order to compare Multilocus Enzyme Electrophoresis (MLEE), Electrophoretic Karyotyping (EK) and Microsatellite Markers (Simple Sequence Repeats - SSRs), in their abilities to differentiate and group C. albicans isolates (discriminatory power), and also, to evaluate the concordance and similarity of the groups of strains determined by cluster analysis for each fingerprinting method. Isoenzyme typing was performed using eleven enzyme systems: Adh, Sdh, M1p, Mdh, Idh, Gdh, G6pdh, Asd, Cat, Po, and Lap (data previously published). The EK method consisted of chromosomal DNA separation by pulsed-field gel electrophoresis using a CHEF system. The microsatellite markers were investigated by PCR using three polymorphic loci: EF3, CDC3, and HIS3. Dendrograms were generated by the SAHN method and UPGMA algorithm based on similarity matrices (S(SM)). The discriminatory power of the three methods was over 95%, however a paired analysis among them showed a parity of 19.7-22.4% in the identification of strains. Weak correlation was also observed among the genetic similarity matrices (S(SM)(MLEE) x S(SM)(EK) x S(SM)(SSRs)). Clustering analyses showed a mean of 9 +/- 12.4 isolates per cluster (3.8 +/- 8 isolates/taxon) for MLEE, 6.2 +/- 4.9 isolates per cluster (4 +/- 4.5 isolates/taxon) for SSRs, and 4.1 +/- 2.3 isolates per cluster (2.6 +/- 2.3 isolates/taxon) for EK. A total of 45 (13%), 39(11.2%), 5 (1.4%) and 3 (0.9%) clusters pairs from 347 showed similarity (Si) of 0.1-10%, 10.1-20%, 20.1-30% and 30.1-40%, respectively. Clinical and molecular epidemiological correlation involving the opportunistic pathogen C. albicans may be attributed dependently of each method of genotyping (i.e., MLEE, EK, and SSRs) supplemented with similarity and grouping analysis. Therefore, the use of genotyping systems that give results which offer minimum disparity, or the combination of the results of these systems, can provide greater security and consistency in the determination of strains and their genetic relationships. (C) 2010 Elsevier B.V. All rights reserved.en
dc.format.extent265-281-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectCandida albicansen
dc.subjectCluster Analysisen
dc.subjectElectrophoretic Karyotypingen
dc.subjectEpidemiological Trackingen
dc.subjectMicrosatellite Markersen
dc.subjectMultilocus Enzyme Electrophoresisen
dc.titleDisparity between Multilocus Enzyme Electrophoresis, Microsatellite Markers and Pulsed-Field Gel Electrophoresis in epidemiological tracking of Candida albicansen
dc.typeoutro-
dc.contributor.institutionUniv Alfenas-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.description.affiliationUniv Alfenas, Lab Mol Biol & Genet, Sch Med Sci, Fac Med Sci, BR-37130000 Alfenas, MG, Brazil-
dc.description.affiliationUniv Alfenas, Lab Biol & Physiol Microorganisms, Fac Med Sci, BR-37130000 Alfenas, MG, Brazil-
dc.description.affiliationState Univ São Paulo, Lab Oral Microbiol, Dept Oral Pathol & Physiol, Fac Ordontol Araraquara, São Paulo, Brazil-
dc.description.affiliationUniv São Paulo, Ctr Nucl Energy Agr, Lab Plant Improvement, Piracicaba, SP, Brazil-
dc.description.affiliationUniv São Paulo, Dept Genet, Escola Super Agr Luiz Queiroz, Piracicaba, SP, Brazil-
dc.description.affiliationUnespState Univ São Paulo, Lab Oral Microbiol, Dept Oral Pathol & Physiol, Fac Ordontol Araraquara, São Paulo, Brazil-
dc.identifier.doi10.1016/j.mimet.2010.06.012-
dc.identifier.wosWOS:000282113000012-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofJournal of Microbiological Methods-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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