Phylogeny-aware alignment with PRANK.

Evolutionary analyses require sequence alignments that correctly represent evolutionary homology. Evolutionary and structural homology are not the same and sequence alignments generated with methods designed for structural matching can be seriously misleading in comparative and phylogenetic analyses. The phylogeny-aware alignment algorithm implemented in the program PRANK has been shown to produce good alignments for evolutionary inferences. Unlike other alignment programs, PRANK makes use of phylogenetic information to distinguish alignment gaps caused by insertions or deletions and, thereafter, handles the two types of events differently. As a by-product of the correct handling of insertions and deletions, PRANK can provide the inferred ancestral sequences as a part of the output and mark the alignment gaps differently depending on their origin in insertion or deletion events. As the algorithm infers the evolutionary history of the sequences, PRANK can be sensitive to errors in the guide phylogeny and violations on the underlying assumptions about the origin and patterns of gaps. These issues are discussed in detail and practical advice for the use of PRANK in evolutionary analysis is provided. The PRANK software and other methods discussed here can be found from the program home page at http://code.google.com/p/prank-msa/.

[1]  Benjamin D. Redelings,et al.  BAli-Phy: simultaneous Bayesian inference of alignment and phylogeny , 2006, Bioinform..

[2]  Rodrigo Lopez,et al.  Clustal W and Clustal X version 2.0 , 2007, Bioinform..

[3]  Ari Löytynoja,et al.  An algorithm for progressive multiple alignment of sequences with insertions. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Nick Goldman,et al.  The effects of alignment error and alignment filtering on the sitewise detection of positive selection. , 2012, Molecular biology and evolution.

[5]  Albert J. Vilella,et al.  Accurate extension of multiple sequence alignments using a phylogeny-aware graph algorithm , 2012, Bioinform..

[6]  Aleksey Y Ogurtsov,et al.  Indel-based evolutionary distance and mouse-human divergence. , 2004, Genome research.

[7]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[8]  István Miklós,et al.  StatAlign: an extendable software package for joint Bayesian estimation of alignments and evolutionary trees , 2008, Bioinform..

[9]  Dan Graur,et al.  Heads or tails: a simple reliability check for multiple sequence alignments. , 2007, Molecular biology and evolution.

[10]  A. Löytynoja,et al.  Phylogeny-Aware Gap Placement Prevents Errors in Sequence Alignment and Evolutionary Analysis , 2008, Science.

[11]  Ari Löytynoja,et al.  webPRANK: a phylogeny-aware multiple sequence aligner with interactive alignment browser , 2010, BMC Bioinformatics.

[12]  M. Gil,et al.  Phylogenetic assessment of alignments reveals neglected tree signal in gaps , 2010, Genome Biology.

[13]  D. Sankoff Minimal Mutation Trees of Sequences , 1975 .

[14]  Serita M. Nelesen,et al.  Rapid and Accurate Large-Scale Coestimation of Sequence Alignments and Phylogenetic Trees , 2009, Science.

[15]  P. Hogeweg,et al.  The alignment of sets of sequences and the construction of phyletic trees: An integrated method , 2005, Journal of Molecular Evolution.

[16]  Ziheng Yang,et al.  The effect of insertions, deletions, and alignment errors on the branch-site test of positive selection. , 2010, Molecular biology and evolution.

[17]  R. Doolittle,et al.  Progressive sequence alignment as a prerequisitetto correct phylogenetic trees , 2007, Journal of Molecular Evolution.