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

Author:

Nascimento Érika1,Martinez Roberto2,Rodrigues Lopes André1,de Souza Bernardes Luciano Angelo1,Pomponio Barco Carolina3,Goldman Maria Helena S.4,Taylor John W.5,McEwen Juan G.6,Pasetto Nobrega Marina3,Nobrega Francisco G.3,Goldman Gustavo H.1

Affiliation:

1. Faculdade de Ciências Farmacêuticas de Ribeirão Preto

2. Faculdade de Medicina de Ribeirão Preto

3. Universidade do Vale do Paraíba, UNIVAP, Vale do Paraíba, Brazil

4. Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, São Paulo

5. Department of Plant and Microbial Biology, University of California, Berkeley, California

6. Corporacion para Investigaciones Biológicas and Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia

Abstract

ABSTRACT 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.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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