Abstract:
Mycobacterial species are one of the most important pathogens and among these members of non-tuberculous mycobacteria (NTM) and mycobacterial tuberculousis complex (MTC) are the causative agent of a relatively milder form of Tuberculosis. Traditional methods for identification of these groups of pathogens are time consuming, lack specificity and sensitivity and furthermore lead to the misidentification due to high similarity index. Therefore, more rapid, specific and
cost-effective methods are required for the accurate identification of Mycobacterium species in routine diagnostics. In our study, we identified molecular markers in order to differentiate closely related cousin species of genus Mycobacterium including M. bovis, M. avium, M. leprae and M. tuberculosis. The nucleotide sequences of selected unique markers, i.e., enzymes (used previously in various biochemical tests for the identification of M. species) were selected and their ORFs were retrieved and selected functional proteins of respective biosynthetic pathways were compared in-silico. Result suggested that the variations in nucleotide sequences of the selected enzymes can be directly used for M. species discrimination in one step PCR test. We believe that the in-silico identification and storage of these distinctive characteristics of individual M. species will help in more precise recognition of pathogenic strains and hence specie specific targeted therapy.
