Abstract

SOLIS, Christian  and  NEGRON, Luisa. Bioinformatic analysis of Mycobacterium tuberculosis metabolism under hypoxic conditions. An. Fac. med. [online]. 2008, vol.69, n.3, pp.167-170. ISSN 1025-5583.

Objective: To predict by using bioinformatic tools Mycobacterium tuberculosis (MT) metabolic pathways under hypoxic conditions. Design: Biology analysis. Setting: Instituto de Química Biológica, Microbiología y Biotecnología Marco Antonio Garrido Malo Biological, Microbiologic and Biotechnologic Chemistry Institute, Faculty of Pharmacy and Biochemistry, UNMSM. Biologic material: Mycobacterium tuberculosis genes. Methods: The study began with the selection of 355 genes of MT H37Rv whose expression has been shown by other studies is induced by hypoxic conditions and 359 genes whose expression was repressed. Up and down expressed genes were comparatively analyzed, localizing genes of each group within the MT genome and predicting some physicochemical properties (isoelectric point and hydrophobic moment) for their protein products. In order to assign a metabolic or regulatory pathway to each gene, Kyoto Encyclopedia of Genes and Genomes (KEGG) and PATH-A sequence analysis tool were used. Main outcome measures: Metabolic pathways in Mycobacterium tuberculosis genes under hypoxia conditions. Results: From the initial 355 up expressed genes, it was possible to assign metabolic pathways to only 95 using KEGG and 57 using PATH-A. Conclusions: There were no differences between up and down expressed genes for their genome distribution and values for studied physicochemical properties of their protein products. The comparative analysis of the assigned metabolic pathways to down and up-expressed genes revealed that under hypoxic conditions several metabolic pathways related to ATP spent were down-expressed, being induced some genes whose proteins participate in central metabolism pathways such as the pyruvate metabolism, glycolysis and citric acid cycle.

Keywords : Mycobacterium tuberculosis; hypoxia; latency; metabolic pathways.

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