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Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis

The advent and widespread application of next-generation sequencing (NGS) technologies to the study of microbial genomes has led to a substantial increase in the number of studies in which whole genome sequencing (WGS) is applied to the analysis of microbial genomic epidemiology. However, microorgan...

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Autores principales: Tyler, Andrea D., Christianson, Sara, Knox, Natalie C., Mabon, Philip, Wolfe, Joyce, Van Domselaar, Gary, Graham, Morag R., Sharma, Meenu K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744016/
https://www.ncbi.nlm.nih.gov/pubmed/26849565
http://dx.doi.org/10.1371/journal.pone.0148676
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author Tyler, Andrea D.
Christianson, Sara
Knox, Natalie C.
Mabon, Philip
Wolfe, Joyce
Van Domselaar, Gary
Graham, Morag R.
Sharma, Meenu K.
author_facet Tyler, Andrea D.
Christianson, Sara
Knox, Natalie C.
Mabon, Philip
Wolfe, Joyce
Van Domselaar, Gary
Graham, Morag R.
Sharma, Meenu K.
author_sort Tyler, Andrea D.
collection PubMed
description The advent and widespread application of next-generation sequencing (NGS) technologies to the study of microbial genomes has led to a substantial increase in the number of studies in which whole genome sequencing (WGS) is applied to the analysis of microbial genomic epidemiology. However, microorganisms such as Mycobacterium tuberculosis (MTB) present unique problems for sequencing and downstream analysis based on their unique physiology and the composition of their genomes. In this study, we compare the quality of sequence data generated using the Nextera and TruSeq isolate preparation kits for library construction prior to Illumina sequencing-by-synthesis. Our results confirm that MTB NGS data quality is highly dependent on the purity of the DNA sample submitted for sequencing and its guanine-cytosine content (or GC-content). Our data additionally demonstrate that the choice of library preparation method plays an important role in mitigating downstream sequencing quality issues. Importantly for MTB, the Illumina TruSeq library preparation kit produces more uniform data quality than the Nextera XT method, regardless of the quality of the input DNA. Furthermore, specific genomic sequence motifs are commonly missed by the Nextera XT method, as are regions of especially high GC-content relative to the rest of the MTB genome. As coverage bias is highly undesirable, this study illustrates the importance of appropriate protocol selection when performing NGS studies in order to ensure that sound inferences can be made regarding mycobacterial genomes.
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spelling pubmed-47440162016-02-11 Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis Tyler, Andrea D. Christianson, Sara Knox, Natalie C. Mabon, Philip Wolfe, Joyce Van Domselaar, Gary Graham, Morag R. Sharma, Meenu K. PLoS One Research Article The advent and widespread application of next-generation sequencing (NGS) technologies to the study of microbial genomes has led to a substantial increase in the number of studies in which whole genome sequencing (WGS) is applied to the analysis of microbial genomic epidemiology. However, microorganisms such as Mycobacterium tuberculosis (MTB) present unique problems for sequencing and downstream analysis based on their unique physiology and the composition of their genomes. In this study, we compare the quality of sequence data generated using the Nextera and TruSeq isolate preparation kits for library construction prior to Illumina sequencing-by-synthesis. Our results confirm that MTB NGS data quality is highly dependent on the purity of the DNA sample submitted for sequencing and its guanine-cytosine content (or GC-content). Our data additionally demonstrate that the choice of library preparation method plays an important role in mitigating downstream sequencing quality issues. Importantly for MTB, the Illumina TruSeq library preparation kit produces more uniform data quality than the Nextera XT method, regardless of the quality of the input DNA. Furthermore, specific genomic sequence motifs are commonly missed by the Nextera XT method, as are regions of especially high GC-content relative to the rest of the MTB genome. As coverage bias is highly undesirable, this study illustrates the importance of appropriate protocol selection when performing NGS studies in order to ensure that sound inferences can be made regarding mycobacterial genomes. Public Library of Science 2016-02-05 /pmc/articles/PMC4744016/ /pubmed/26849565 http://dx.doi.org/10.1371/journal.pone.0148676 Text en © 2016 Tyler et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tyler, Andrea D.
Christianson, Sara
Knox, Natalie C.
Mabon, Philip
Wolfe, Joyce
Van Domselaar, Gary
Graham, Morag R.
Sharma, Meenu K.
Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title_full Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title_fullStr Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title_full_unstemmed Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title_short Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis
title_sort comparison of sample preparation methods used for the next-generation sequencing of mycobacterium tuberculosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744016/
https://www.ncbi.nlm.nih.gov/pubmed/26849565
http://dx.doi.org/10.1371/journal.pone.0148676
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