BACKGROUND & OBJECTIVES: Identification of mycobacteria to the species level is of therapeutic significance. Conventional methods are laborious and time consuming so we did 16S rRNA sequencing using a commercial MicroSeq sequencing kit, which includes DNA sequencing with software package for identification and phylogenetic analysis of clinical mycobacterial isolates. METHODS: A total of 47 mycobacteria were tested by both conventional and genotypic method using commercially available MicroSeq 500 amplification kit assay. The identification was determined by comparing the 500 bp amplified product of 16S rDNA sequence to the MicroSeq database. RESULTS: The phenotypic identification was concordant with genotypic identification in 33 (70.2%) isolates of 14 Mycobacterium tuberculosis, 11 M. fortuitum, 7 M. abscessus and 1 M. duvalii. For the discrepant isolates, identification was possible only by DNA sequencing in 14 (29.7%) isolates. The 14 discrepant isolates were 5 M. farcinogenes, 3 M. genavense, 2 M. species. nov and 1 each of M. fortuitum, M. immuogenum, M. simiae and M. wolinskyi. Of these, five were uncommon species that were difficult to identify by phenotypic method. INTERPRETATION & CONCLUSION: The MicroSeq DNA sequencing is an excellent tool for species identification of mycobacteria, which reduces the turn around time, makes repeat analysis easy as compared to phenotypic identification specially for mycobacterial isolates with ambiguous biochemical profiles.
BACKGROUND & OBJECTIVES: Identification of mycobacteria to the species level is of therapeutic significance. Conventional methods are laborious and time consuming so we did 16S rRNA sequencing using a commercial MicroSeq sequencing kit, which includes DNA sequencing with software package for identification and phylogenetic analysis of clinical mycobacterial isolates. METHODS: A total of 47 mycobacteria were tested by both conventional and genotypic method using commercially available MicroSeq 500 amplification kit assay. The identification was determined by comparing the 500 bp amplified product of 16S rDNA sequence to the MicroSeq database. RESULTS: The phenotypic identification was concordant with genotypic identification in 33 (70.2%) isolates of 14 Mycobacterium tuberculosis, 11 M. fortuitum, 7 M. abscessus and 1 M. duvalii. For the discrepant isolates, identification was possible only by DNA sequencing in 14 (29.7%) isolates. The 14 discrepant isolates were 5 M. farcinogenes, 3 M. genavense, 2 M. species. nov and 1 each of M. fortuitum, M. immuogenum, M. simiae and M. wolinskyi. Of these, five were uncommon species that were difficult to identify by phenotypic method. INTERPRETATION & CONCLUSION: The MicroSeq DNA sequencing is an excellent tool for species identification of mycobacteria, which reduces the turn around time, makes repeat analysis easy as compared to phenotypic identification specially for mycobacterial isolates with ambiguous biochemical profiles.