Molecular Capture of Mycobacterium tuberculosis Genomes Directly from Clinical Samples: A Potential Backup Approach for Epidemiological and Drug Susceptibility Inferences
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Published:2023-02-02
Issue:3
Volume:24
Page:2912
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ISSN:1422-0067
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Container-title:International Journal of Molecular Sciences
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language:en
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Short-container-title:IJMS
Author:
Macedo Rita1ORCID,
Isidro Joana2ORCID,
Ferreira Rita2ORCID,
Pinto Miguel2,
Borges Vítor2ORCID,
Duarte Sílvia3,
Vieira Luís3,
Gomes João Paulo2ORCID
Affiliation:
1. National Reference Laboratory for Mycobacteria, Department of Infectious Diseases, National Institute of Health (INSA), 1649-016 Lisbon, Portugal
2. Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health (INSA), 1649-016 Lisbon, Portugal
3. Innovation and Technology Unit, National Institute of Health (INSA), 1649-016 Lisbon, Portugal
Abstract
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.
Funder
European Centre for Disease Control and Prevention
GenomePT project
COMPETE 2020—Operational Programme for Competitiveness and Internationalisation
Lisboa Portugal Regional Operational Programme
Algarve Portugal Regional Operational Programme
European Regional Development Fund
Fundação para a Ciência e a Tecnologia
Subject
Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis
Reference34 articles.
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