Inferência de rede de regulação da expressão de genes relacionados ao biofilme de Candida albicans influenciados pelo ácido lático

Abstract

Candida albicans is commensal yeast of different anatomical sites of man, but in host imunosuppressed cases become pathogenic, affecting mainly oropharyngeal mucosa and urogenital tract. One of the main problems faced today in relation to infections caused by this fungus is the formation of the biofilm, a microbial community consisting of cells from one or more species protected by an extracellular matrix and with different phenotype compared to planktonic cells. In the case of women, beyond C. albicans, Streptococcus agalactiae bacteria, producing lactic acid, can cause infections vulvovaginal mucous membrane and initial studies indicate that these two micro-organisms can form mixed biofilms. Thus, the present study used data transcriptome of C. albicans cultured in the presence of lactic acid and inferred using the software DimReduction, predictions networks of gene expression related to the formation of this biofilm yeast target genes from 3: GPD2 (orf19 .691), ACH1 (orf19.3171) and GCN4 (orf19.1358). After reviewing the 3 networks of regulation was possible to state that the statistical inference with the highest correlation with biological inference of biofilm formation in C. albicans was that contained the GCN4 gene (orf19.1358) SEC6 (orf19.5463), GPX2 (orf19.85) orf19.7490, CTP1 (Orf19.5870) and Orf19.6668. These genes are related mainly to membership, hyphae formation, and extracellular matrix production, metabolic pathway of carbohydrates and cell cycle necessary for the formation and maturation of biofilm. These data open up prospects for the molecular understanding of the influence of lactic acid in the formation of biofilms in C. albicans.