Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures

Antonina A. Votintseva(John Radcliffe Hospital), Louise Pankhurst(John Radcliffe Hospital), Luke Anson(John Radcliffe Hospital), Marcus Morgan(John Radcliffe Hospital), Deborah Gascoyne‐Binzi(Leeds General Infirmary), A Sarah Walker(John Radcliffe Hospital), T. Phuong Quan(John Radcliffe Hospital), David Wyllie(John Radcliffe Hospital), Carlos del Ojo Elías(John Radcliffe Hospital), Mark H. Wilcox(Leeds General Infirmary), A. Sarah Walker(John Radcliffe Hospital), Tim Peto(John Radcliffe Hospital), Derrick W. Crook(John Radcliffe Hospital)
Journal of Clinical Microbiology
January 29, 2015
Cited by 110Open Access
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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.


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