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have no competing interest. Authors’ contribution The bioinformatics analysis was carried out by DC, analysis of results and discussions were done by DC, MH, ML, LZ and MMZ, the manuscript was prepared by DC, MH, ML, LZ and MMZ. All authors read and approved the final manuscript.”
“Background Detection and identification of mycobacteria in clinical specimens check details is a key issue in the therapy of pulmonary diseases because misidentification can lead to inappropriate treatment. Traditionally, mycobacterial species are identified based on their growth rate, presence or absence of pigmentation, and using biochemical assays of the isolates recovered from specimens. The biochemical assays are time-consuming and labor-intensive, usually taking 1 to 2 months to complete, and assays for non-tuberculous mycobacteria (NTM) species can have poor reproducibility and provide ambiguous results [1, 2]. By contrast,

molecular identification, notably PCR-restriction enzyme analysis (PRA), is rapid and simple. The hsp65 PRA method, developed by Telenti et al. in 1993, is a popular DNA-based method for mycobacteria identification [3]. Using hsp65 Alanine-glyoxylate transaminase PRA, Wong et al. [4] reported 100% sensitivity and specificity in identifying Mycobacterium tuberculosis complexes but only 74.5% sensitivity in identifying NTM species. This misidentification may occur because of similarities in band sizes that are critical for species discrimination [3]. An additional contributing factor is a lack of knowledge of all existing PRA profiles, especially among species that are very heterogeneous, such as M. gordonae, M. scrofulaceum, and M. terrae complexes. Recently, capillary electrophoresis (CE) with computer analysis [5–9] has provided more precise band discrimination than analysis by the naked eye.