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ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes an...

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Detalles Bibliográficos
Autores principales: Didelot, Xavier, Wilson, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326465/
https://www.ncbi.nlm.nih.gov/pubmed/25675341
http://dx.doi.org/10.1371/journal.pcbi.1004041
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author Didelot, Xavier
Wilson, Daniel J.
author_facet Didelot, Xavier
Wilson, Daniel J.
author_sort Didelot, Xavier
collection PubMed
description Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.
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spelling pubmed-43264652015-02-24 ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes Didelot, Xavier Wilson, Daniel J. PLoS Comput Biol Research Article Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/. Public Library of Science 2015-02-12 /pmc/articles/PMC4326465/ /pubmed/25675341 http://dx.doi.org/10.1371/journal.pcbi.1004041 Text en © 2015 Didelot, Wilson 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
Didelot, Xavier
Wilson, Daniel J.
ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title_full ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title_fullStr ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title_full_unstemmed ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title_short ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes
title_sort clonalframeml: efficient inference of recombination in whole bacterial genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326465/
https://www.ncbi.nlm.nih.gov/pubmed/25675341
http://dx.doi.org/10.1371/journal.pcbi.1004041
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