
Transcriptome characterization of the dimorphic and pathogenic fungus Paracoccidioides brasiliensis by EST analysis
2003; Wiley; Volume: 20; Issue: 3 Linguagem: Inglês
10.1002/yea.964
ISSN1097-0061
AutoresMaria Sueli Soares Felipe, Rosângela Vieira de Andrade, S. S. Petrofeza, Andréa Queiróz Maranhão, Fernando Araripe Gonçalves Torres, Patrícia Albuquerque, Fabrício Barbosa Monteiro Arraes, Maria Augusta Arruda, Maristela O. Azevedo, Alessandra J Baptista, Luiz Artur Mendes Bataus, Clayton Luiz Borges, Élida G. Campos, Márcio Rojas da Cruz, Bruno S. Daher, Alessandra da Silva Dantas, Marisa A. S. V. Ferreira, G. V. Ghil, Rosália Santos Amorim Jesuíno, Cynthia Maria Kyaw, Luciana Pereira Colares Leitão, Cláudio Martins, Lídia Maria Pepe de Moraes, Edvaldo Oliveira Neves, André Moraes Nicola, Eduardo Alves, Juliana Alves Parente, Maristela Pereira, Márcio José Poças-Fonseca, Renato O. Resende, Bergmann Morais Ribeiro, Rosana Regina de Saldanha, Eduardo S. A. Santos, Ildinete Silva-Pereira, M. A. S. Silva, Edgar Silveira, Isabella C. Simões, Roberta Soares, Diorge P. Souza, Marlene Teixeira De‐Souza, Edmar Vaz de Andrade, Mauro Aparecido de Sousa Xavier, Henrique Veiga, Emerson José Venâncio, Maria J.A. de Carvalho, Adilton G. Oliveira, M. Inoue, Nalvo F. Almeida, Maria Emília M. T. Walter, Cláudio M. Soares, Marcelo M. Brígido,
Tópico(s)Plant-Microbe Interactions and Immunity
ResumoAbstract Paracoccidioides brasiliensis is a pathogenic fungus that undergoes a temperature‐dependent 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 ( c lusters of o rthologous g roups) and GO ( g ene o ntology) 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. Copyright © 2003 John Wiley & Sons, Ltd.
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