Repository logo
 
Loading...
Thumbnail Image
Publication

Molecular Capture of Mycobacterium tuberculosis Genomes Directly from Clinical Samples: A Potential Backup Approach for Epidemiological and Drug Susceptibility Inferences

Use this identifier to reference this record.
Name:Description:Size:Format: 
Macedo et al_2023_baits.pdf1.02 MBAdobe PDF Download

Advisor(s)

Abstract(s)

The application of whole genome sequencing of Mycobacterium tuberculosis directly on clinical samples has been investigated as a means to avoid the time-consuming need for culture isolation that can lead to a potential prolonged suboptimal antibiotic treatment. We aimed to provide a proof-of-concept regarding the application of the molecular capture of M. tuberculosis genomes directly from positive sputum samples as an approach for epidemiological and drug susceptibility predictions. Smear-positive sputum samples (n = 100) were subjected to the SureSelectXT HS Target Enrichment protocol (Agilent Technologies, Santa Clara, CA, USA) and whole-genome sequencing analysis. A higher number of reads on target were obtained for higher smear grades samples (i.e., 3+ followed by 2+). Moreover, 37 out of 100 samples showed ≥90% of the reference genome covered with at least 10-fold depth of coverage (27, 9, and 1 samples were 3+, 2+, and 1+, respectively). Regarding drug-resistance/susceptibility prediction, for 42 samples, ≥90% of the >9000 hits that are surveyed by TB-profiler were detected. Our results demonstrated that M. tuberculosis genome capture and sequencing directly from clinical samples constitute a potential valid backup approach for phylogenetic inferences and resistance prediction, essentially in settings when culture is not routinely performed or for samples that fail to grow.

Description

(This article belongs to the Special Issue CRISPR-Cas in Genomic Manipulation and Antimicrobial Resistance)

Keywords

Mycobacterium tuberculosis RNA-baits Molecular Capture Resistance Surveillance Target Enrichment Drug Therapy Epidemiology Microbiology Genetics Whole Genome Sequencing Tuberculosis nfecções Respiratórias Resistência aos Antimicrobianos

Pedagogical Context

Citation

Int J Mol Sci. 2023 Feb 2;24(3):2912. doi: 10.3390/ijms24032912

Organizational Units

Journal Issue