• DocumentCode
    2502477
  • Title

    Computational Prediction of Conserved microRNAs from Solanum tuberosum

  • Author

    Yang, Wen-zheng ; Zhang, Jian-guang ; Chen, Ji-shuang

  • Author_Institution
    Inst. of Bioeng., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    MicroRNAs represent a class of non-coding endogenous small RNAs ~22 nt in length that play important regulatory roles in plant growth and development. Although an explosive increase in number of plant miRNAs have been documented in recent years, by cloning or computational approaches, only limited miRNAs have been reported in potato, which is an important crop worldwide. By searching the known miRNAs from 20 plant species against EST (Expressed Sequence Tags) sequences with bioinformatics methods, 71 miRNAs belonging to 48 families were predicted from this crop. Amongst, 65 were forecasted for the first time. Most potato miRNA families have one to three members, while miR474 has four. Sequence analysis showed that the candidate pre-miRNA sequences varied from 48-224 bp in length.
  • Keywords
    bioinformatics; crops; genetics; macromolecules; molecular biophysics; organic compounds; Solanum tuberosum; bioinformatics; cloning; conserved microRNA; expressed sequence tags; noncoding endogenous small RNA; plant development; plant growth; potato miRNA families; sequence analysis; Animals; Bioinformatics; Biomedical engineering; Crops; Databases; Food industry; Genomics; Humans; RNA; Rodents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162552
  • Filename
    5162552