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Journal of Clinical Microbiology, November 2004, p. 5007-5014, Vol. 42, No. 11
0095-1137/04/$08.00+0     DOI: 10.1128/JCM.42.11.5007-5014.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.

Detection and Selection of Microsatellites in the Genome of Paracoccidioides brasiliensis as Molecular Markers for Clinical and Epidemiological Studies

Érika Nascimento,1 Roberto Martinez,2 André Rodrigues Lopes,1 Luciano Angelo de Souza Bernardes,1 Carolina Pomponio Barco,3 Maria Helena S. Goldman,4 John W. Taylor,5 Juan G. McEwen,6 Marina Pasetto Nobrega,3 Francisco G. Nobrega,3 and Gustavo H. Goldman1*

Faculdade de Ciências Farmacêuticas de Ribeirão Preto,1 Faculdade de Medicina de Ribeirão Preto,2 Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, São Paulo,4 Universidade do Vale do Paraíba, UNIVAP, Vale do Paraíba, Brazil,3 Department of Plant and Microbial Biology, University of California, Berkeley, California,5 Corporacion para Investigaciones Biológicas and Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia6

Received 5 April 2004/ Returned for modification 13 June 2004/ Accepted 5 July 2004

Paracoccidioides brasiliensis, a thermodimorphic fungus, is the causative agent of the prevalent systemic mycosis in Latin America, paracoccidioidomycosis (PCM). Here, we describe the microsatellite patterns observed in a collection of P. brasiliensis random sequence tags. We identified 1,117 microsatellite patterns in about 3.8 Mb of unique sequences (0.47% of the total DNA used in the analysis). The majority of these microsatellites (87.5%) are found in noncoding sequences. We used two polymorphic microsatellites located on noncoding and coding sequences, as well as two microsatellites located on introns, as molecular markers to discriminate P. brasiliensis isolates, to look for relationships between the genetic background of the strains and the types of human disease they cause. We did not observe any correlation between the clinical form of human PCM and four simple sequence repeat patterns analyzed.


* Corresponding author. Mailing address: Departamento de Ciências Farmacêuticas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. do Café S/N, CEP 14040-903, Ribeirão Preto, São Paulo, Brazil. Phone: 0055-016-6024280/81. Fax: 0055-016-6331092. E-mail address: ggoldman{at}usp.br.


Journal of Clinical Microbiology, November 2004, p. 5007-5014, Vol. 42, No. 11
0095-1137/04/$08.00+0     DOI: 10.1128/JCM.42.11.5007-5014.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.




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