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CRISPR-Based Detection, Identification and Typing of Mycobacterium tuberculosis Complex Lineages.

Authors :
Padane A
Harouna Hamidou Z
Drancourt M
Saad J
Source :
Microbiology spectrum [Microbiol Spectr] 2023 Feb 14; Vol. 11 (1), pp. e0271722. Date of Electronic Publication: 2023 Jan 05.
Publication Year :
2023

Abstract

The polymerase chain reaction (PCR)-based detection of Mycobacterium tuberculosis (M. tuberculosis) complex (MTC) in clinical samples is a first-line approach by which to diagnose tuberculosis in clinical microbiology laboratories. In this study, the genome-wide profiling of 3,156 mycobacterial genomes using Roary determined the CRISPR-csm4 gene as specific for MTB. Real time (RT)-PCR and the PCR-sequencing of CRISPR-csm4, tested on a collection of 20 MTC and 5 nontuberculous mycobacteria, confirmed the 20 MTC isolates, whereas the 5 nontuberculous isolates were not detected. Further, 65 of the leftover clinical samples, including 25 GeneXpert-positive and 40 GeneXpert-negative samples, that were used to evaluate the CRISPR-csm4-MTB assay in the clinical microbiology laboratory setting yielded expected results in every case, further allowing for the identification of the M. tuberculosis Beijing lineage. RT-PCR and the PCR-sequencing of CRISPR-csm4 could be implanted in the clinical microbiology laboratory to complement the currently used assays, with the potential of increasing the specification of the MTC pathogens responsible for tuberculosis. IMPORTANCE The whole-genome sequence comparison of the Mycobacterium tuberculosis complex (MTC) genomic sequences that are available in the NCBI database identified a unique, specific gene to be used directly on clinical diagnostic samples to detect MTC against all species of mycobacteria and to differentiate between MTC species, lineages, and sublineages.

Details

Language :
English
ISSN :
2165-0497
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Microbiology spectrum
Publication Type :
Academic Journal
Accession number :
36602330
Full Text :
https://doi.org/10.1128/spectrum.02717-22