Automated reconstruction of whole genome phylogenies from short sequence reads

Bertels, Frederic and Silander, Olin K. and Pachkov, Mikhail and Rainey, Paul B. and van Nimwegen, Erik. (2014) Automated reconstruction of whole genome phylogenies from short sequence reads. Molecular biology and evolution, Vol. 31, no. 5. pp. 1077-1088.

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Official URL: http://edoc.unibas.ch/dok/A6243442

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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.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
UniBasel Contributors:van Nimwegen, Erik and Bertels, Frederic and Silander, Olin and Pachkov, Mikhail
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:20 Jun 2014 07:55
Deposited On:20 Jun 2014 07:55

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