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An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations

Many techniques for the study of complex populations provide either specific information on a small number of variants or general information on the entire population. Here we describe a powerful new technique for elucidating mutation frequencies at each genomic position in a complex population. Thi...

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Detalles Bibliográficos
Autores principales: Webster, Dale R., Hekele, Armin G., Lauring, Adam S., Fischer, Kael F., Li, Hao, Andino, Raul, DeRisi, Joseph L.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759544/
https://www.ncbi.nlm.nih.gov/pubmed/19834618
http://dx.doi.org/10.1371/journal.pone.0007453
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author Webster, Dale R.
Hekele, Armin G.
Lauring, Adam S.
Fischer, Kael F.
Li, Hao
Andino, Raul
DeRisi, Joseph L.
author_facet Webster, Dale R.
Hekele, Armin G.
Lauring, Adam S.
Fischer, Kael F.
Li, Hao
Andino, Raul
DeRisi, Joseph L.
author_sort Webster, Dale R.
collection PubMed
description Many techniques for the study of complex populations provide either specific information on a small number of variants or general information on the entire population. Here we describe a powerful new technique for elucidating mutation frequencies at each genomic position in a complex population. This single base extension (SBE) based microarray platform was designed and optimized using poliovirus as the target genotype, but can be easily adapted to assay populations derived from any organism. The sensitivity of the method was demonstrated by accurate and consistent readouts from a controlled population of mutant genotypes. We subsequently deployed the technique to investigate the effects of the nucleotide analog ribavirin on a typical poliovirus population through two rounds of passage. Our results show that this economical platform can be used to investigate dynamic changes occurring at frequencies below 1% within a complex nucleic acid population. Given that many key aspects of the study and treatment of disease are intimately linked to population-level genomic diversity, our SBE-based technique provides a scalable and cost-effective complement to both traditional and next generation sequencing methodologies.
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spelling pubmed-27595442009-10-16 An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations Webster, Dale R. Hekele, Armin G. Lauring, Adam S. Fischer, Kael F. Li, Hao Andino, Raul DeRisi, Joseph L. PLoS One Research Article Many techniques for the study of complex populations provide either specific information on a small number of variants or general information on the entire population. Here we describe a powerful new technique for elucidating mutation frequencies at each genomic position in a complex population. This single base extension (SBE) based microarray platform was designed and optimized using poliovirus as the target genotype, but can be easily adapted to assay populations derived from any organism. The sensitivity of the method was demonstrated by accurate and consistent readouts from a controlled population of mutant genotypes. We subsequently deployed the technique to investigate the effects of the nucleotide analog ribavirin on a typical poliovirus population through two rounds of passage. Our results show that this economical platform can be used to investigate dynamic changes occurring at frequencies below 1% within a complex nucleic acid population. Given that many key aspects of the study and treatment of disease are intimately linked to population-level genomic diversity, our SBE-based technique provides a scalable and cost-effective complement to both traditional and next generation sequencing methodologies. Public Library of Science 2009-10-16 /pmc/articles/PMC2759544/ /pubmed/19834618 http://dx.doi.org/10.1371/journal.pone.0007453 Text en Webster 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Webster, Dale R.
Hekele, Armin G.
Lauring, Adam S.
Fischer, Kael F.
Li, Hao
Andino, Raul
DeRisi, Joseph L.
An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title_full An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title_fullStr An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title_full_unstemmed An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title_short An Enhanced Single Base Extension Technique for the Analysis of Complex Viral Populations
title_sort enhanced single base extension technique for the analysis of complex viral populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759544/
https://www.ncbi.nlm.nih.gov/pubmed/19834618
http://dx.doi.org/10.1371/journal.pone.0007453
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