Cargando…

A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history

BACKGROUND: Maximum compatibility is a method of phylogenetic reconstruction that is seldom applied to molecular sequences. It may be ideal for certain applications, such as reconstructing phylogenies of closely-related bacteria on the basis of whole-genome sequencing. RESULTS: Here I present an alg...

Descripción completa

Detalles Bibliográficos
Autor principal: Cherry, Joshua L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324209/
https://www.ncbi.nlm.nih.gov/pubmed/28231758
http://dx.doi.org/10.1186/s12859-017-1520-4
_version_ 1782510178492481536
author Cherry, Joshua L.
author_facet Cherry, Joshua L.
author_sort Cherry, Joshua L.
collection PubMed
description BACKGROUND: Maximum compatibility is a method of phylogenetic reconstruction that is seldom applied to molecular sequences. It may be ideal for certain applications, such as reconstructing phylogenies of closely-related bacteria on the basis of whole-genome sequencing. RESULTS: Here I present an algorithm that rapidly computes phylogenies according to a compatibility criterion. Although based on solutions to the maximum clique problem, this algorithm deals properly with ambiguities in the data. The algorithm is applied to bacterial data sets containing up to nearly 2000 genomes with several thousand variable nucleotide sites. Run times are several seconds or less. Computational experiments show that maximum compatibility is less sensitive than maximum parsimony to the inclusion of nucleotide data that, though derived from actual sequence reads, has been identified as likely to be misleading. CONCLUSIONS: Maximum compatibility is a useful tool for certain phylogenetic problems, such as inferring the relationships among closely-related bacteria from whole-genome sequence data. The algorithm presented here rapidly solves fairly large problems of this type, and provides robustness against misleading characters than can pollute large-scale sequencing data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1520-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5324209
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53242092017-03-01 A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history Cherry, Joshua L. BMC Bioinformatics Methodology Article BACKGROUND: Maximum compatibility is a method of phylogenetic reconstruction that is seldom applied to molecular sequences. It may be ideal for certain applications, such as reconstructing phylogenies of closely-related bacteria on the basis of whole-genome sequencing. RESULTS: Here I present an algorithm that rapidly computes phylogenies according to a compatibility criterion. Although based on solutions to the maximum clique problem, this algorithm deals properly with ambiguities in the data. The algorithm is applied to bacterial data sets containing up to nearly 2000 genomes with several thousand variable nucleotide sites. Run times are several seconds or less. Computational experiments show that maximum compatibility is less sensitive than maximum parsimony to the inclusion of nucleotide data that, though derived from actual sequence reads, has been identified as likely to be misleading. CONCLUSIONS: Maximum compatibility is a useful tool for certain phylogenetic problems, such as inferring the relationships among closely-related bacteria from whole-genome sequence data. The algorithm presented here rapidly solves fairly large problems of this type, and provides robustness against misleading characters than can pollute large-scale sequencing data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1520-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-23 /pmc/articles/PMC5324209/ /pubmed/28231758 http://dx.doi.org/10.1186/s12859-017-1520-4 Text en © The Author(s). 2017 Open AccessThe article is a work of the United States Government; Title 17 U.S.C 105 provides that copyright protection is not available for any work of the United States government in the United States. Additionally, this is an open access article distributed under the terms of the Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0), which permits worldwide unrestricted use, distribution, and reproduction in any medium for any lawful purpose.
spellingShingle Methodology Article
Cherry, Joshua L.
A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title_full A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title_fullStr A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title_full_unstemmed A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title_short A practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
title_sort practical exact maximum compatibility algorithm for reconstruction of recent evolutionary history
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324209/
https://www.ncbi.nlm.nih.gov/pubmed/28231758
http://dx.doi.org/10.1186/s12859-017-1520-4
work_keys_str_mv AT cherryjoshual apracticalexactmaximumcompatibilityalgorithmforreconstructionofrecentevolutionaryhistory
AT cherryjoshual practicalexactmaximumcompatibilityalgorithmforreconstructionofrecentevolutionaryhistory