TB Research

Whole genome enrichment approach for rapid detection of Mycobacterium tuberculosis and drug resistance-associated mutations from direct sputum sequencing

Soundararajan L, Kambli P, Priyadarshini S, Let B, Murugan S, Iravatham C, Tornheim JA, Rodrigues C, et al. (10 authors)

Tuberculosis (Edinburgh, Scotland) · 2020-02

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).

MeSH terms

  • Sputum
  • Humans
  • Mycobacterium tuberculosis
  • Tuberculosis, Pulmonary
  • DNA, Bacterial
  • Antitubercular Agents
  • Bacteriological Techniques
  • Microbial Sensitivity Tests
  • Case-Control Studies
  • Reproducibility of Results
  • Predictive Value of Tests
  • DNA Mutational Analysis
  • Drug Resistance, Bacterial
  • Genotype
  • Phenotype
  • Mutation
  • Workflow
  • Whole Genome Sequencing