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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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
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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. |
format | Text |
id | pubmed-2759544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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