Detection of Non-Tuberculosis Mycobacteria by Real Time PCR

Title:Detection of Non-Tuberculosis Mycobacteria by Real Time PCR

Volume: 19 Issue: 4

Author(s): Mina Ahmadi, Pegah Shakib and Mohammad Reza Zolfaghari*

Affiliation:

• Department of Microbiology, Qom Branch, Islamic Azad University, Qom,Iran

Keywords: Non-tuberculous, mycobacteria, clinical Specimens, internal transcribed spacer regions, efficiency.

Abstract: Background: Identification of non-tuberculosis mycobacteria by culture and phenotypic description is commonly used; however, it takes 4 to 6 weeks or even a longer time for slow growing species as well as for identification of some species that may be missed by biochemical characteristics methods. This study aimed to evaluate Real Time PCR for Detection of NTM by Amplification of Internal Transcribed Spacer (ITS) and 16S rRNA.

Methods: In our investigation, using Real Time PCR and two pairs of unique primers targeted to ITS and 16S rRNA genes as well as Beta-actin as an internal control, Non tuberculosis mycobacteria species were detected.

Results: Real time PCR was performed on the prepared dilutions. In addition, the threshold of sensitivity in this study was 10pg. To test the specificity, the genome of several bacteria responsible for respiratory infections was used, in which only the test response related to the non-tuberculosis mycobacterium genome and internal control was positive.

Conclusion: In this research, an effective and up-to-date Real Time PCR method was used to design a diagnostic kit from all aspects. To avoid any error or mistake and to minimize the false results, internal control was used. The ability to design diagnostic kits allows us to increase efficiency, minimize mistakes, and save a considerable amount of time and cost.

Cite this article as:

Ahmadi Mina , Shakib Pegah and Zolfaghari Reza Mohammad *, Detection of Non-Tuberculosis Mycobacteria by Real Time PCR, Anti-Infective Agents 2021; 19 (4) : e130621190843 . https://dx.doi.org/10.2174/2211352519999210128174409

DOI https://dx.doi.org/10.2174/2211352519999210128174409	Print ISSN 2211-3525
Publisher Name Bentham Science Publisher	Online ISSN 2211-3533