• 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