Whole genome enrichment approach for rapid detection of Mycobacterium tuberculosis and drug resistance-associated mutations from direct sputum sequencing. (March 2020)
- Record Type:
- Journal Article
- Title:
- Whole genome enrichment approach for rapid detection of Mycobacterium tuberculosis and drug resistance-associated mutations from direct sputum sequencing. (March 2020)
- Main Title:
- Whole genome enrichment approach for rapid detection of Mycobacterium tuberculosis and drug resistance-associated mutations from direct sputum sequencing
- Authors:
- Soundararajan, Lakshmi
Kambli, Priti
Priyadarshini, Sushri
Let, Biswajit
Murugan, Sakthivel
Iravatham, Chitra
Tornheim, Jeffrey A.
Rodrigues, Camilla
Gupta, Ravi
Ramprasad, V.L. - Abstract:
- Abstract: Tuberculosis is the leading cause of death among infectious diseases worldwide. Detection of Mycobacterium tuberculosis ( Mtb ), using routine culture-based methods is time consuming resulting in delayed diagnosis and poor treatment outcomes. Currently available molecular tests provide faster diagnosis but are able to screen only limited hot-spot mutations. Whole genome sequencing from direct sputum offers a potential solution, however, due to the presence of other microbes and host DNA its use in diagnostic testing remains challenging. In this study, we present a targeted Mtb -enrichment assay for lineage-4 coupled with an improved analysis pipeline that uses 1657 bacterial taxa as background for reducing non- Mtb genome from sputum DNA. This method drastically improved the recovery of Mtb DNA from sputum ( Mtb alignment increased from 3% to >65%) as compared to non-enrichment-based sequencing. We obtained >99% Mtb genome coverage as compared to 49% in non-enriched sputum sequencing. We were able to identify Mtb positive samples from controls with 100% accuracy using Mpt64 gene coverage. Our method not only achieved 100% sensitivity to resistance variants profiled by line probe assay (LPA), but also outperformed LPA in determining drug resistance based on phenotypic drug susceptibility tests for 6 anti-tuberculosis drugs (accuracy of 97.7% and 92.8% by enriched WGS and LPA, respectively).
- Is Part Of:
- Tuberculosis. Volume 121(2020)
- Journal:
- Tuberculosis
- Issue:
- Volume 121(2020)
- Issue Display:
- Volume 121, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 121
- Issue:
- 2020
- Issue Sort Value:
- 2020-0121-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03
- Subjects:
- 616.995
- Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.tube.2020.101915 ↗
- Languages:
- English
- ISSNs:
- 1472-9792
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9068.125000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13441.xml