Transcriptome characterization of the dimorphic and pathogenic fungus Paracoccidioides brasiliensis by EST analysis

• Autor(a) principal: Felipe, Maria Sueli Soares
• Data de Publicação: 2003
• Outros Autores: Andrade, Rosângela Vieira de, Silva, Silvana Petrofeza da, Maranhão, Andrea Queiroz, Torres, Fernando Araripe Gonçalves, Andrade, Patrícia Albuquerque de, Arraes, Fabrício Barbosa Monteiro, Arruda, Maricilia Conceição Cardoso de, Azevedo, M. O., Baptista, Alessandra Jorge, Bataus, Luiz Artur Mendes, Borges, Clayton Luiz, Campos, Elida Geralda, Cruz, Marcio Rojas da, Daher, Bruno Sahium, Dantas, Alessandra da Silva, Ferreira, Marisa Alvares da Silva Velloso, Ghil, Guilherme Vulpe, Jesuíno, Rosália Santos Amorim, Kyaw, Cynthia Maria, Leitão, L., Martins, Cláudia Renata Fernandes, Moraes, Lidia Maria Pepe de, Neves, Edvaldo Oliveira, Nicola, André Moraes, Alves, E. S., Parente, Juliana Alves, Pereira, Maristela, Fonseca, Marcio José Poças, Resende, Renato de Oliveira, Ribeiro, Bergmann Morais, Saldanha, Rosana Regina de, Santos, S. C., Silva-Pereira, Ildinete, Silva, Marcos Antônio dos Santos, Silveira, Erica Duarte, Soares, Renata de Bastos Ascenço, Souza, Diorge Paulo de, De-Souza, Marlene Teixeira, Andrade, Edmar Vaz de, Xavier, Mauro Aparecido de Sousa, Veiga, Henrique Pinheiro, Venancio, Emerson José, Carvalho, Maria José Albuquerque de, Oliveira, Adilton Guedes, Inoue, M. K., Almeida Junior, Nalvo Franco de, Walter, Maria Emília Machado Telles, Soares, Célia Maria de Almeida, Brigido, Marcelo de Macedo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UCB
• Texto Completo: http://twingo.ucb.br:8080/jspui/handle/10869/603; https://repositorio.ucb.br:9443/jspui/handle/123456789/7870
• topic: ESTs; Transcriptome; Functional genomics; Human pathogenic fungus; Dimorphism; Paracocidioides brasiliensis

Paracoccidioides brasiliensis is a pathogenic fungus that undergoes a temperaturedependent cell morphology change from mycelium (22 ◦C) to yeast (36 ◦C). It is assumed that this morphological transition correlates with the infection of the human host. Our goal was to identify genes expressed in the mycelium (M) and yeast (Y) forms by EST sequencing in order to generate a partial map of the fungus transcriptome. Individual EST sequences were clustered by the CAP3 program and annotated using Blastx similarity analysis and InterPro Scan. Three different databases, GenBank nr, COG (clusters of orthologous groups) and GO (gene ontology) were used for annotation. A total of 3938 (Y = 1654 and M = 2274) ESTs were sequenced and clustered into 597 contigs and 1563 singlets, making up a total of 2160 genes, which possibly represent one-quarter of the complete gene repertoire in P. brasiliensis. From this total, 1040 were successfully annotated and 894 could be classified in 18 functional COG categories as follows: cellular metabolism (44%); information storage and processing (25%); cellular processes — cell division, posttranslational modifications, among others (19%); and genes of unknown functions (12%). Computer analysis enabled us to identify some genes potentially involved in the dimorphic transition and drug resistance. Furthermore, computer subtraction analysis revealed several genes possibly expressed in stage-specific forms of P. brasiliensis. Further analysis of these genes may provide new insights into the pathology and differentiation of P. brasiliensis. All EST sequences have been deposited in GenBank under Accession Nos CA580326–CA584263.