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PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data

The worrying rise of antibiotic resistance in pathogenic bacteria is leading to a renewed interest in bacteriophages as a treatment option. Novel sequencing technologies enable description of an increasing number of phage genomes, a critical piece of information to understand their life cycle, phage...

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Detalles Bibliográficos
Autores principales: Garneau, Julian R., Depardieu, Florence, Fortier, Louis-Charles, Bikard, David, Monot, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557969/
https://www.ncbi.nlm.nih.gov/pubmed/28811656
http://dx.doi.org/10.1038/s41598-017-07910-5
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author Garneau, Julian R.
Depardieu, Florence
Fortier, Louis-Charles
Bikard, David
Monot, Marc
author_facet Garneau, Julian R.
Depardieu, Florence
Fortier, Louis-Charles
Bikard, David
Monot, Marc
author_sort Garneau, Julian R.
collection PubMed
description The worrying rise of antibiotic resistance in pathogenic bacteria is leading to a renewed interest in bacteriophages as a treatment option. Novel sequencing technologies enable description of an increasing number of phage genomes, a critical piece of information to understand their life cycle, phage-host interactions, and evolution. In this work, we demonstrate how it is possible to recover more information from sequencing data than just the phage genome. We developed a theoretical and statistical framework to determine DNA termini and phage packaging mechanisms using NGS data. Our method relies on the detection of biases in the number of reads, which are observable at natural DNA termini compared with the rest of the phage genome. We implemented our method with the creation of the software PhageTerm and validated it using a set of phages with well-established packaging mechanisms representative of the termini diversity, i.e. 5′cos (Lambda), 3′cos (HK97), pac (P1), headful without a pac site (T4), DTR (T7) and host fragment (Mu). In addition, we determined the termini of nine Clostridium difficile phages and six phages whose sequences were retrieved from the Sequence Read Archive. PhageTerm is freely available (https://sourceforge.net/projects/phageterm), as a Galaxy ToolShed and on a Galaxy-based server (https://galaxy.pasteur.fr).
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spelling pubmed-55579692017-08-18 PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data Garneau, Julian R. Depardieu, Florence Fortier, Louis-Charles Bikard, David Monot, Marc Sci Rep Article The worrying rise of antibiotic resistance in pathogenic bacteria is leading to a renewed interest in bacteriophages as a treatment option. Novel sequencing technologies enable description of an increasing number of phage genomes, a critical piece of information to understand their life cycle, phage-host interactions, and evolution. In this work, we demonstrate how it is possible to recover more information from sequencing data than just the phage genome. We developed a theoretical and statistical framework to determine DNA termini and phage packaging mechanisms using NGS data. Our method relies on the detection of biases in the number of reads, which are observable at natural DNA termini compared with the rest of the phage genome. We implemented our method with the creation of the software PhageTerm and validated it using a set of phages with well-established packaging mechanisms representative of the termini diversity, i.e. 5′cos (Lambda), 3′cos (HK97), pac (P1), headful without a pac site (T4), DTR (T7) and host fragment (Mu). In addition, we determined the termini of nine Clostridium difficile phages and six phages whose sequences were retrieved from the Sequence Read Archive. PhageTerm is freely available (https://sourceforge.net/projects/phageterm), as a Galaxy ToolShed and on a Galaxy-based server (https://galaxy.pasteur.fr). Nature Publishing Group UK 2017-08-15 /pmc/articles/PMC5557969/ /pubmed/28811656 http://dx.doi.org/10.1038/s41598-017-07910-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Garneau, Julian R.
Depardieu, Florence
Fortier, Louis-Charles
Bikard, David
Monot, Marc
PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title_full PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title_fullStr PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title_full_unstemmed PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title_short PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
title_sort phageterm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557969/
https://www.ncbi.nlm.nih.gov/pubmed/28811656
http://dx.doi.org/10.1038/s41598-017-07910-5
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