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Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures
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 ext...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365189/ https://www.ncbi.nlm.nih.gov/pubmed/25631807 http://dx.doi.org/10.1128/JCM.03073-14 |
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author | Votintseva, Antonina A. Pankhurst, Louise J. Anson, Luke W. Morgan, Marcus R. Gascoyne-Binzi, Deborah Walker, Timothy M. Quan, T. Phuong Wyllie, David H. Del Ojo Elias, Carlos Wilcox, Mark Walker, A. Sarah Peto, Tim E. A. Crook, Derrick W. |
author_facet | Votintseva, Antonina A. Pankhurst, Louise J. Anson, Luke W. Morgan, Marcus R. Gascoyne-Binzi, Deborah Walker, Timothy M. Quan, T. Phuong Wyllie, David H. Del Ojo Elias, Carlos Wilcox, Mark Walker, A. Sarah Peto, Tim E. A. Crook, Derrick W. |
author_sort | Votintseva, Antonina A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4365189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-43651892015-05-08 Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures Votintseva, Antonina A. Pankhurst, Louise J. Anson, Luke W. Morgan, Marcus R. Gascoyne-Binzi, Deborah Walker, Timothy M. Quan, T. Phuong Wyllie, David H. Del Ojo Elias, Carlos Wilcox, Mark Walker, A. Sarah Peto, Tim E. A. Crook, Derrick W. J Clin Microbiol Mycobacteriology and Aerobic Actinomycetes 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. American Society for Microbiology 2015-03-18 2015-04 /pmc/articles/PMC4365189/ /pubmed/25631807 http://dx.doi.org/10.1128/JCM.03073-14 Text en Copyright © 2015, Votintseva et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/) . |
spellingShingle | Mycobacteriology and Aerobic Actinomycetes Votintseva, Antonina A. Pankhurst, Louise J. Anson, Luke W. Morgan, Marcus R. Gascoyne-Binzi, Deborah Walker, Timothy M. Quan, T. Phuong Wyllie, David H. Del Ojo Elias, Carlos Wilcox, Mark Walker, A. Sarah Peto, Tim E. A. Crook, Derrick W. Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title | Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title_full | Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title_fullStr | Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title_full_unstemmed | Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title_short | Mycobacterial DNA Extraction for Whole-Genome Sequencing from Early Positive Liquid (MGIT) Cultures |
title_sort | mycobacterial dna extraction for whole-genome sequencing from early positive liquid (mgit) cultures |
topic | Mycobacteriology and Aerobic Actinomycetes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365189/ https://www.ncbi.nlm.nih.gov/pubmed/25631807 http://dx.doi.org/10.1128/JCM.03073-14 |
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