Transcriptional profiling reveals the expression of novel genes in response to various stimuli in the human dermatophyte Trichophyton rubrum

Nalu T. A. Peres(Universidade de Ribeirão Preto), Pablo Rodrigo Sanches(Universidade de Ribeirão Preto), Juliana Pfrimer Falcão(Universidade de São Paulo), Henrique C.S. Silveira(Universidade de Ribeirão Preto), Fernanda G. Paião(Universidade de Ribeirão Preto), Fernanda CA Maranhão(Universidade de Ribeirão Preto), Diana E. Gras(Universidade de Ribeirão Preto), Fernando Segato(Universidade de Ribeirão Preto), Rodrigo Anselmo Cazzaniga(Universidade de Ribeirão Preto), Mendelson Mazucato(Universidade de Ribeirão Preto), Jeny R. Cursino‐Santos(Universidade de Ribeirão Preto), Roseli Aquino-Ferreira(Universidade de Ribeirão Preto), Antônio Rossi(Universidade de Ribeirão Preto), Nilce Maria Martinez-Rossi(Universidade de Ribeirão Preto)
BMC Microbiology
February 8, 2010
Cited by 66Open Access
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Abstract

BACKGROUND: Cutaneous mycoses are common human infections among healthy and immunocompromised hosts, and the anthropophilic fungus Trichophyton rubrum is the most prevalent microorganism isolated from such clinical cases worldwide. The aim of this study was to determine the transcriptional profile of T. rubrum exposed to various stimuli in order to obtain insights into the responses of this pathogen to different environmental challenges. Therefore, we generated an expressed sequence tag (EST) collection by constructing one cDNA library and nine suppression subtractive hybridization libraries. RESULTS: The 1388 unigenes identified in this study were functionally classified based on the Munich Information Center for Protein Sequences (MIPS) categories. The identified proteins were involved in transcriptional regulation, cellular defense and stress, protein degradation, signaling, transport, and secretion, among other functions. Analysis of these unigenes revealed 575 T. rubrum sequences that had not been previously deposited in public databases. CONCLUSION: In this study, we identified novel T. rubrum genes that will be useful for ORF prediction in genome sequencing and facilitating functional genome analysis. Annotation of these expressed genes revealed metabolic adaptations of T. rubrum to carbon sources, ambient pH shifts, and various antifungal drugs used in medical practice. Furthermore, challenging T. rubrum with cytotoxic drugs and ambient pH shifts extended our understanding of the molecular events possibly involved in the infectious process and resistance to antifungal drugs.


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