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Automated reconstruction of whole genome phylogenies from short sequence reads
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 2420422
Author(s) Bertels, Frederic; Silander, Olin K; Pachkov, Mikhail; Rainey, Paul B; van Nimwegen, Erik
Author(s) at UniBasel van Nimwegen, Erik
Bertels, Frederic
Silander, Olin
Pachkov, Mikhail
Year 2014
Title Automated reconstruction of whole genome phylogenies from short sequence reads
Journal Molecular biology and evolution
Volume 31
Number 5
Pages / Article-Number 1077-88
Keywords next-generation sequencing, Escherichia coli, Pseudomonas syringae
Abstract

Studies of microbial evolutionary dynamics are being transformed by the availability of affordable high-throughput sequencing technologies, which allow whole-genome sequencing of hundreds of related taxa in a single study. Reconstructing a phylogenetic tree of these taxa is generally a crucial step in any evolutionary analysis. Instead of constructing genome assemblies for all taxa, annotating these assemblies, and aligning orthologous genes, many recent studies (1) directly map raw sequencing reads to a single reference sequence, (2) extract single nucleotide polymorphisms (SNPs), and (3) infer the phylogenetic tree using maximum likelihood methods from the aligned SNP positions. However, here we show that, when using such methods to reconstruct phylogenies from sets of simulated sequences, both the exclusion of non-polymorphic positions and the alignment to a single reference genome, introduce systematic biases and errors in phylogeny reconstruction. To address these problems, we developed a new method that combines alignments from mappings to multiple reference sequences, and show that this successfully removes biases from the reconstructed phylogenies. We implemented this method as a webserver named REALPHY (Reference sequence Alignment based Phylogeny builder), which fully automates phylogenetic reconstruction from raw sequencing reads.

Publisher Oxford University Press
ISSN/ISBN 0737-4038
edoc-URL http://edoc.unibas.ch/dok/A6243442
Full Text on edoc No
Digital Object Identifier DOI 10.1093/molbev/msu088
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/24600054
ISI-Number WOS:000335914400003
Document type (ISI) Journal Article
 
   

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