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A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A

Driven by the impact of influenza A viruses on human and animal health, much research is conducted on this pathogen. To support this research, we designed an all influenza A-embracing reverse transcription-PCR (RT-PCR) for the generation of DNA from influenza A virus negative strand RNA genome segme...

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Autores principales: Höper, Dirk, Hoffmann, Bernd, Beer, Martin
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084732/
https://www.ncbi.nlm.nih.gov/pubmed/21559493
http://dx.doi.org/10.1371/journal.pone.0019075
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author Höper, Dirk
Hoffmann, Bernd
Beer, Martin
author_facet Höper, Dirk
Hoffmann, Bernd
Beer, Martin
author_sort Höper, Dirk
collection PubMed
description Driven by the impact of influenza A viruses on human and animal health, much research is conducted on this pathogen. To support this research, we designed an all influenza A-embracing reverse transcription-PCR (RT-PCR) for the generation of DNA from influenza A virus negative strand RNA genome segments for full-length genome deep sequencing on a Genome Sequencer FLX instrument. For high reliability, the RT-PCRs are designed such that every genome segment is divided into two amplicons and for the most variable segments redundancy is included. Moreover, to minimize the risk of contamination of diagnostic real-time PCRs by sequencing amplicons, RT-PCR does not generate amplicons that are amenable to RT-qPCR detection. With the presented protocol we were able to generate virtually all amplicons (99.3% success rate) from isolates representing all so far known 16 hemagglutinin and 9 neuraminidase subtypes and from an additional 2009 pandemic influenza A H1N1 virus. Three isolates were sequenced to analyze the suitability of the DNA for sequencing. Moreover, we provide a short R script that disambiguates the sequences of the primers used. We show that using unambiguous primer sequences for read trimming prior to assembly with the genome sequencer assembler software results in higher quality of the final genome sequences. Using the disambiguated primer sequences, high quality full-length sequences for the three isolates used for sequencing trials could be established from the raw data in de novo assemblies.
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spelling pubmed-30847322011-05-10 A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A Höper, Dirk Hoffmann, Bernd Beer, Martin PLoS One Research Article Driven by the impact of influenza A viruses on human and animal health, much research is conducted on this pathogen. To support this research, we designed an all influenza A-embracing reverse transcription-PCR (RT-PCR) for the generation of DNA from influenza A virus negative strand RNA genome segments for full-length genome deep sequencing on a Genome Sequencer FLX instrument. For high reliability, the RT-PCRs are designed such that every genome segment is divided into two amplicons and for the most variable segments redundancy is included. Moreover, to minimize the risk of contamination of diagnostic real-time PCRs by sequencing amplicons, RT-PCR does not generate amplicons that are amenable to RT-qPCR detection. With the presented protocol we were able to generate virtually all amplicons (99.3% success rate) from isolates representing all so far known 16 hemagglutinin and 9 neuraminidase subtypes and from an additional 2009 pandemic influenza A H1N1 virus. Three isolates were sequenced to analyze the suitability of the DNA for sequencing. Moreover, we provide a short R script that disambiguates the sequences of the primers used. We show that using unambiguous primer sequences for read trimming prior to assembly with the genome sequencer assembler software results in higher quality of the final genome sequences. Using the disambiguated primer sequences, high quality full-length sequences for the three isolates used for sequencing trials could be established from the raw data in de novo assemblies. Public Library of Science 2011-04-29 /pmc/articles/PMC3084732/ /pubmed/21559493 http://dx.doi.org/10.1371/journal.pone.0019075 Text en Höper 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
Höper, Dirk
Hoffmann, Bernd
Beer, Martin
A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title_full A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title_fullStr A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title_full_unstemmed A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title_short A Comprehensive Deep Sequencing Strategy for Full-Length Genomes of Influenza A
title_sort comprehensive deep sequencing strategy for full-length genomes of influenza a
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084732/
https://www.ncbi.nlm.nih.gov/pubmed/21559493
http://dx.doi.org/10.1371/journal.pone.0019075
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