• DocumentCode
    3585706
  • Title

    In silico analysis of salt responsive survival associated motifs in rice promoter

  • Author

    Easmin, Rubaida ; Tabrejee, Shamira ; Rowshon, Lamisha ; Gias, Alim Ul ; Kobad Chowdhuryy, Md Miraj ; Khaled, Shah Mostafa

  • Author_Institution
    Inst. of Inf. Technol., Univ. of Dhaka, Dhaka, Bangladesh
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In stressed condition, several specific transcription factors bind to corresponding regulatory elements or motifs resulting in the expression of appropriate genes, which helps the plant to survive in that condition. Till now, several motifs have been identified though computationally validating those motifs is a major research concern. Considering this, we present an in silico method to validate the presence of such motifs in the promoter of rice genes, which could be associated with the survival of rice in saline environments. For this, we present a statistical approach that consists of three consecutive steps: finding overrepresented oligomers in sensitive variety, identifying the potential motif from the overrepresented oligomers and validating oligomers in the promoters of up regulated genes of tolerant variety using the motif of the sensitive one. In our experiment, we have initially identified 5 potential pentamers and then the most represented one (ACGAC) was used to validate previously described motifs overrepresented in promoters of genes in different abiotic stress tolerant rice to justify their association with survival. Ultimately, our method has shown promises to better identify motifs in promoters of genes up regulated during salt stress according to their likelihood to be associated with the plant survival.
  • Keywords
    botany; organic compounds; statistical analysis; in silico analysis; overrepresented oligomers; rice promoter; salt responsive survival associated motifs; statistical approach; transcription factors; Data collection; Electronic mail; Gene expression; Indexes; Mathematical model; Proteins; Stress; Salt stress; computational analysis; motifs; promoter; up regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Knowledge, Information Management and Applications (SKIMA), 2014 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/SKIMA.2014.7083535
  • Filename
    7083535