Culture-Free Whole Genome Sequencing of <i>Mycobacterium tuberculosis</i> Using Ligand-Mediated Bead Enrichment Method
Shruthi Vasanthaiah, Renu Verma, Ajay Kumar, Aravind K. Bandari, John George, Mona Rastogi, Gowrang Kasaba Manjunath, Jyoti Sharma, et al. (12 authors)
Open Forum Infectious Diseases · 2024-06
Abstract
Abstract Background Direct whole genome sequencing (WGS) of Mycobacterium tuberculosis (Mtb) can be used as a tool to study drug resistance, mixed infections, and within-host diversity. However, WGS is challenging to obtain from clinical samples due to low number of bacilli against a high background. Methods We prospectively collected 34 samples (sputum, n = 17; bronchoalveolar lavage, n = 13; and pus, n = 4) from patients with active tuberculosis (TB). Prior to DNA extraction, we used a ligand-mediated magnetic bead method to enrich Mtb from clinical samples and performed WGS on Illumina platform. Results Mtb was definitively identified based on WGS from 88.2% (30/34) of the samples, of which 35.3% (12/34) were smear negative. The overall median genome coverage was 15.2% (interquartile range [IQR], 7.7%–28.2%). There was a positive correlation between load of bacilli on smears and genome coverage (P &lt; .001). We detected 58 genes listed in the World Health Organization mutation catalogue in each positive sample (median coverage, 85% [IQR, 61%–94%]), enabling the identification of mutations missed by routine diagnostics. Mutations causing resistance to rifampicin, isoniazid, streptomycin, and ethambutol were detected in 5 of 34 (14.7%) samples, including the rpoB S441A mutation that confers resistance to rifampicin, which is not covered by Xpert MTB/RIF. Conclusions We demonstrate the feasibility of magnetic bead–based enrichment for culture-free WGS of Mtb from clinical specimens, including smear-negative samples. This approach can also be integrated with low-cost sequencing workflows such as targeted sequencing for rapid detection of Mtb and drug resistance.
MeSH terms
- Bead
- Whole genome sequencing
- Mycobacterium tuberculosis
- Medicine
- Tuberculosis
- Genome
- Microbiology
- Computational biology
- Genetics