DocumentCode :
79564
Title :
A Transcript Perspective on Evolution
Author :
Christinat, Yann ; Moret, Bernard M. E.
Author_Institution :
EPFL, Lab. for Comput. Biol. & Bioinf., Lausanne, Switzerland
Volume :
10
Issue :
6
fYear :
2013
fDate :
Nov.-Dec. 2013
Firstpage :
1403
Lastpage :
1411
Abstract :
Alternative splicing is now recognized as a major mechanism for transcriptome and proteome diversity in higher eukaryotes, yet its evolution is poorly understood. Most studies focus on the evolution of exons and introns at the gene level, while only few consider the evolution of transcripts. In this paper, we present a framework for transcript phylogenies where ancestral transcripts evolve along the gene tree by gains, losses, and mutation. We demonstrate the usefulness of our method on a set of 805 genes and two different topics. First, we improve a method for transcriptome reconstruction from ESTs (ASPic), then we study the evolution of function in transcripts. The use of transcript phylogenies allows us to double the precision of ASPic, whereas results on the functional study reveal that conserved transcripts are more likely to share protein domains than functional sites. These studies validate our framework for the study of evolution in large collections of organisms from the perspective of transcripts; for this purpose, we developed and provide a new tool, TrEvoR.
Keywords :
bioinformatics; evolution (biological); genetics; genomics; proteins; proteomics; ASPic; EST; TrEvoR; alternative splicing; ancestral transcripts; exon evolution; functional sites; functional study; gene gains; gene level; gene losses; gene mutation; gene tree; higher eukaryotes; intron evolution; large organism collections; protein domains; proteome diversity; transcript evolution; transcript perspective; transcript phylogeny; transcriptome reconstruction; Databases; Evolution (biology); Human factors; Phylogeny; Prediction algorithms; Alternative splicing; evolution; phylogeny; protein domain; transcript; transcriptome reconstruction;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2012.145
Filename :
6365176
Link To Document :
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