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1.
J Clin Microbiol ; 55(5): 1285-1298, 2017 05.
Article in English | MEDLINE | ID: mdl-28275074

ABSTRACT

Routine full characterization of Mycobacterium tuberculosis is culture based, taking many weeks. Whole-genome sequencing (WGS) can generate antibiotic susceptibility profiles to inform treatment, augmented with strain information for global surveillance; such data could be transformative if provided at or near the point of care. We demonstrate a low-cost method of DNA extraction directly from patient samples for M. tuberculosis WGS. We initially evaluated the method by using the Illumina MiSeq sequencer (40 smear-positive respiratory samples obtained after routine clinical testing and 27 matched liquid cultures). M. tuberculosis was identified in all 39 samples from which DNA was successfully extracted. Sufficient data for antibiotic susceptibility prediction were obtained from 24 (62%) samples; all results were concordant with reference laboratory phenotypes. Phylogenetic placement was concordant between direct and cultured samples. With Illumina MiSeq/MiniSeq, the workflow from patient sample to results can be completed in 44/16 h at a reagent cost of £96/£198 per sample. We then employed a nonspecific PCR-based library preparation method for sequencing on an Oxford Nanopore Technologies MinION sequencer. We applied this to cultured Mycobacterium bovis strain BCG DNA and to combined culture-negative sputum DNA and BCG DNA. For flow cell version R9.4, the estimated turnaround time from patient to identification of BCG, detection of pyrazinamide resistance, and phylogenetic placement was 7.5 h, with full susceptibility results 5 h later. Antibiotic susceptibility predictions were fully concordant. A critical advantage of MinION is the ability to continue sequencing until sufficient coverage is obtained, providing a potential solution to the problem of variable amounts of M. tuberculosis DNA in direct samples.


Subject(s)
Antitubercular Agents/therapeutic use , Genome, Bacterial/genetics , Mycobacterium tuberculosis/genetics , Sequence Analysis, DNA/methods , Tuberculosis, Pulmonary/diagnosis , High-Throughput Nucleotide Sequencing/economics , Humans , Microbial Sensitivity Tests , Mycobacterium tuberculosis/drug effects , Point-of-Care Systems , Pyrazinamide/therapeutic use , Time Factors , Tuberculosis, Pulmonary/drug therapy , Tuberculosis, Pulmonary/microbiology
2.
J Clin Microbiol ; 53(4): 1137-43, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25631807

ABSTRACT

We developed a low-cost and reliable method of DNA extraction from as little as 1 ml of early positive mycobacterial growth indicator tube (MGIT) cultures that is suitable for whole-genome sequencing to identify mycobacterial species and predict antibiotic resistance in clinical samples. The DNA extraction method is based on ethanol precipitation supplemented by pretreatment steps with a MolYsis kit or saline wash for the removal of human DNA and a final DNA cleanup step with solid-phase reversible immobilization beads. The protocol yielded ≥0.2 ng/µl of DNA for 90% (MolYsis kit) and 83% (saline wash) of positive MGIT cultures. A total of 144 (94%) of the 154 samples sequenced on the MiSeq platform (Illumina) achieved the target of 1 million reads, with <5% of reads derived from human or nasopharyngeal flora for 88% and 91% of samples, respectively. A total of 59 (98%) of 60 samples that were identified by the national mycobacterial reference laboratory (NMRL) as Mycobacterium tuberculosis were successfully mapped to the H37Rv reference, with >90% coverage achieved. The DNA extraction protocol, therefore, will facilitate fast and accurate identification of mycobacterial species and resistance using a range of bioinformatics tools.


Subject(s)
Bacteriological Techniques/methods , DNA, Bacterial/isolation & purification , Genome, Bacterial/genetics , Mycobacterium tuberculosis/genetics , Tuberculosis/diagnosis , DNA, Bacterial/analysis , DNA, Bacterial/genetics , Humans , Molecular Typing/methods , Sequence Analysis, DNA/methods , Tuberculosis/microbiology
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