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Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data
The rapidly reducing cost of bacterial genome sequencing has lead to its routine use in large-scale microbial analysis. Though mapping approaches can be used to find differences relative to the reference, many bacteria are subject to constant evolutionary pressures resulting in events such as the lo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320598/ https://www.ncbi.nlm.nih.gov/pubmed/28348874 http://dx.doi.org/10.1099/mgen.0.000083 |
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author | Page, Andrew J. De Silva, Nishadi Hunt, Martin Quail, Michael A. Parkhill, Julian Harris, Simon R. Otto, Thomas D. Keane, Jacqueline A. |
author_facet | Page, Andrew J. De Silva, Nishadi Hunt, Martin Quail, Michael A. Parkhill, Julian Harris, Simon R. Otto, Thomas D. Keane, Jacqueline A. |
author_sort | Page, Andrew J. |
collection | PubMed |
description | The rapidly reducing cost of bacterial genome sequencing has lead to its routine use in large-scale microbial analysis. Though mapping approaches can be used to find differences relative to the reference, many bacteria are subject to constant evolutionary pressures resulting in events such as the loss and gain of mobile genetic elements, horizontal gene transfer through recombination and genomic rearrangements. De novo assembly is the reconstruction of the underlying genome sequence, an essential step to understanding bacterial genome diversity. Here we present a high-throughput bacterial assembly and improvement pipeline that has been used to generate nearly 20 000 annotated draft genome assemblies in public databases. We demonstrate its performance on a public data set of 9404 genomes. We find all the genes used in multi-locus sequence typing schema present in 99.6 % of assembled genomes. When tested on low-, neutral- and high-GC organisms, more than 94 % of genes were present and completely intact. The pipeline has been proven to be scalable and robust with a wide variety of datasets without requiring human intervention. All of the software is available on GitHub under the GNU GPL open source license. |
format | Online Article Text |
id | pubmed-5320598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-53205982017-03-27 Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data Page, Andrew J. De Silva, Nishadi Hunt, Martin Quail, Michael A. Parkhill, Julian Harris, Simon R. Otto, Thomas D. Keane, Jacqueline A. Microb Genom Methods Paper The rapidly reducing cost of bacterial genome sequencing has lead to its routine use in large-scale microbial analysis. Though mapping approaches can be used to find differences relative to the reference, many bacteria are subject to constant evolutionary pressures resulting in events such as the loss and gain of mobile genetic elements, horizontal gene transfer through recombination and genomic rearrangements. De novo assembly is the reconstruction of the underlying genome sequence, an essential step to understanding bacterial genome diversity. Here we present a high-throughput bacterial assembly and improvement pipeline that has been used to generate nearly 20 000 annotated draft genome assemblies in public databases. We demonstrate its performance on a public data set of 9404 genomes. We find all the genes used in multi-locus sequence typing schema present in 99.6 % of assembled genomes. When tested on low-, neutral- and high-GC organisms, more than 94 % of genes were present and completely intact. The pipeline has been proven to be scalable and robust with a wide variety of datasets without requiring human intervention. All of the software is available on GitHub under the GNU GPL open source license. Microbiology Society 2016-08-25 /pmc/articles/PMC5320598/ /pubmed/28348874 http://dx.doi.org/10.1099/mgen.0.000083 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.04.0 International License (http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods Paper Page, Andrew J. De Silva, Nishadi Hunt, Martin Quail, Michael A. Parkhill, Julian Harris, Simon R. Otto, Thomas D. Keane, Jacqueline A. Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title | Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title_full | Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title_fullStr | Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title_full_unstemmed | Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title_short | Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data |
title_sort | robust high-throughput prokaryote de novo assembly and improvement pipeline for illumina data |
topic | Methods Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320598/ https://www.ncbi.nlm.nih.gov/pubmed/28348874 http://dx.doi.org/10.1099/mgen.0.000083 |
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