DocumentCode :
1366684
Title :
The Impact of Multiple Protein Sequence Alignment on Phylogenetic Estimation
Author :
Wang, Li-San ; Leebens-Mack, Jim ; Wall, P. Kerr ; Beckmann, Kevin ; DePamphilis, Claude W. ; Warnow, Tandy
Author_Institution :
Dept. of Pathology, Univ. of Pennsylvania, Philadelphia, PA, USA
Volume :
8
Issue :
4
fYear :
2011
Firstpage :
1108
Lastpage :
1119
Abstract :
Multiple sequence alignment is typically the first step in estimating phylogenetic trees, with the assumption being that as alignments improve, so will phylogenetic reconstructions. Over the last decade or so, new multiple sequence alignment methods have been developed to improve comparative analyses of protein structure, but these new methods have not been typically used in phylogenetic analyses. In this paper, we report on a simulation study that we performed to evaluate the consequences of using these new multiple sequence alignment methods in terms of the resultant phylogenetic reconstruction. We find that while alignment accuracy is positively correlated with phylogenetic accuracy, the amount of improvement in phylogenetic estimation that results from an improved alignment can range from quite small to substantial. We observe that phylogenetic accuracy is most highly correlated with alignment accuracy when sequences are most difficult to align, and that variation in alignment accuracy can have little impact on phylogenetic accuracy when alignment error rates are generally low. We discuss these observations and implications for future work.
Keywords :
genetics; molecular biophysics; molecular configurations; proteins; alignment accuracy; comparative analysis; multiple protein sequence alignment; phylogenetic estimation; phylogenetic reconstruction; phylogenetic tree; protein structure; Biology computing; Error analysis; Evolution (biology); Genetics; Muscles; Performance evaluation; Phylogeny; Protein engineering; Protein sequence; Sequences; Simulation; biology and genetics; multiple protein sequence alignment; phylogeny reconstruction.; Amino Acid Sequence; Computational Biology; Computer Simulation; Databases, Protein; Models, Genetic; Phylogeny; Sequence Alignment;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2009.68
Filename :
5235137
Link To Document :
بازگشت