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An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

How viruses evolve within hosts can dictate infection outcomes; however, reconstructing this process is challenging. We evaluate our multiplexed amplicon approach, PrimalSeq, to demonstrate how virus concentration, sequencing coverage, primer mismatches, and replicates influence the accuracy of meas...

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Autores principales: Grubaugh, Nathan D., Gangavarapu, Karthik, Quick, Joshua, Matteson, Nathaniel L., De Jesus, Jaqueline Goes, Main, Bradley J., Tan, Amanda L., Paul, Lauren M., Brackney, Doug E., Grewal, Saran, Gurfield, Nikos, Van Rompay, Koen K. A., Isern, Sharon, Michael, Scott F., Coffey, Lark L., Loman, Nicholas J., Andersen, Kristian G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325816/
https://www.ncbi.nlm.nih.gov/pubmed/30621750
http://dx.doi.org/10.1186/s13059-018-1618-7
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author Grubaugh, Nathan D.
Gangavarapu, Karthik
Quick, Joshua
Matteson, Nathaniel L.
De Jesus, Jaqueline Goes
Main, Bradley J.
Tan, Amanda L.
Paul, Lauren M.
Brackney, Doug E.
Grewal, Saran
Gurfield, Nikos
Van Rompay, Koen K. A.
Isern, Sharon
Michael, Scott F.
Coffey, Lark L.
Loman, Nicholas J.
Andersen, Kristian G.
author_facet Grubaugh, Nathan D.
Gangavarapu, Karthik
Quick, Joshua
Matteson, Nathaniel L.
De Jesus, Jaqueline Goes
Main, Bradley J.
Tan, Amanda L.
Paul, Lauren M.
Brackney, Doug E.
Grewal, Saran
Gurfield, Nikos
Van Rompay, Koen K. A.
Isern, Sharon
Michael, Scott F.
Coffey, Lark L.
Loman, Nicholas J.
Andersen, Kristian G.
author_sort Grubaugh, Nathan D.
collection PubMed
description How viruses evolve within hosts can dictate infection outcomes; however, reconstructing this process is challenging. We evaluate our multiplexed amplicon approach, PrimalSeq, to demonstrate how virus concentration, sequencing coverage, primer mismatches, and replicates influence the accuracy of measuring intrahost virus diversity. We develop an experimental protocol and computational tool, iVar, for using PrimalSeq to measure virus diversity using Illumina and compare the results to Oxford Nanopore sequencing. We demonstrate the utility of PrimalSeq by measuring Zika and West Nile virus diversity from varied sample types and show that the accumulation of genetic diversity is influenced by experimental and biological systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1618-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-63258162019-01-11 An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar Grubaugh, Nathan D. Gangavarapu, Karthik Quick, Joshua Matteson, Nathaniel L. De Jesus, Jaqueline Goes Main, Bradley J. Tan, Amanda L. Paul, Lauren M. Brackney, Doug E. Grewal, Saran Gurfield, Nikos Van Rompay, Koen K. A. Isern, Sharon Michael, Scott F. Coffey, Lark L. Loman, Nicholas J. Andersen, Kristian G. Genome Biol Method How viruses evolve within hosts can dictate infection outcomes; however, reconstructing this process is challenging. We evaluate our multiplexed amplicon approach, PrimalSeq, to demonstrate how virus concentration, sequencing coverage, primer mismatches, and replicates influence the accuracy of measuring intrahost virus diversity. We develop an experimental protocol and computational tool, iVar, for using PrimalSeq to measure virus diversity using Illumina and compare the results to Oxford Nanopore sequencing. We demonstrate the utility of PrimalSeq by measuring Zika and West Nile virus diversity from varied sample types and show that the accumulation of genetic diversity is influenced by experimental and biological systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1618-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-08 /pmc/articles/PMC6325816/ /pubmed/30621750 http://dx.doi.org/10.1186/s13059-018-1618-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Grubaugh, Nathan D.
Gangavarapu, Karthik
Quick, Joshua
Matteson, Nathaniel L.
De Jesus, Jaqueline Goes
Main, Bradley J.
Tan, Amanda L.
Paul, Lauren M.
Brackney, Doug E.
Grewal, Saran
Gurfield, Nikos
Van Rompay, Koen K. A.
Isern, Sharon
Michael, Scott F.
Coffey, Lark L.
Loman, Nicholas J.
Andersen, Kristian G.
An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title_full An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title_fullStr An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title_full_unstemmed An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title_short An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
title_sort amplicon-based sequencing framework for accurately measuring intrahost virus diversity using primalseq and ivar
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325816/
https://www.ncbi.nlm.nih.gov/pubmed/30621750
http://dx.doi.org/10.1186/s13059-018-1618-7
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