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Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not

Phylogenetic inference in bacterial genomics is fundamental to understanding problems such as population history, antimicrobial resistance, and transmission dynamics. The field has been plagued by an apparent state of contradiction since the distorting effects of recombination on phylogeny were disc...

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Detalles Bibliográficos
Autores principales: Hedge, Jessica, Wilson, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Microbiology 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251999/
https://www.ncbi.nlm.nih.gov/pubmed/25425237
http://dx.doi.org/10.1128/mBio.02158-14
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author Hedge, Jessica
Wilson, Daniel J.
author_facet Hedge, Jessica
Wilson, Daniel J.
author_sort Hedge, Jessica
collection PubMed
description Phylogenetic inference in bacterial genomics is fundamental to understanding problems such as population history, antimicrobial resistance, and transmission dynamics. The field has been plagued by an apparent state of contradiction since the distorting effects of recombination on phylogeny were discovered more than a decade ago. Researchers persist with detailed phylogenetic analyses while simultaneously acknowledging that recombination seriously misleads inference of population dynamics and selection. Here we resolve this paradox by showing that phylogenetic tree topologies based on whole genomes robustly reconstruct the clonal frame topology but that branch lengths are badly skewed. Surprisingly, removing recombining sites can exacerbate branch length distortion caused by recombination.
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spelling pubmed-42519992014-12-05 Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not Hedge, Jessica Wilson, Daniel J. mBio Observation Phylogenetic inference in bacterial genomics is fundamental to understanding problems such as population history, antimicrobial resistance, and transmission dynamics. The field has been plagued by an apparent state of contradiction since the distorting effects of recombination on phylogeny were discovered more than a decade ago. Researchers persist with detailed phylogenetic analyses while simultaneously acknowledging that recombination seriously misleads inference of population dynamics and selection. Here we resolve this paradox by showing that phylogenetic tree topologies based on whole genomes robustly reconstruct the clonal frame topology but that branch lengths are badly skewed. Surprisingly, removing recombining sites can exacerbate branch length distortion caused by recombination. American Society of Microbiology 2014-11-25 /pmc/articles/PMC4251999/ /pubmed/25425237 http://dx.doi.org/10.1128/mBio.02158-14 Text en Copyright © 2014 Hedge and Wilson. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/) .
spellingShingle Observation
Hedge, Jessica
Wilson, Daniel J.
Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title_full Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title_fullStr Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title_full_unstemmed Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title_short Bacterial Phylogenetic Reconstruction from Whole Genomes Is Robust to Recombination but Demographic Inference Is Not
title_sort bacterial phylogenetic reconstruction from whole genomes is robust to recombination but demographic inference is not
topic Observation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251999/
https://www.ncbi.nlm.nih.gov/pubmed/25425237
http://dx.doi.org/10.1128/mBio.02158-14
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