• DocumentCode
    603642
  • Title

    Identifying rice arsenic stress response pathways based on molecular interaction network

  • Author

    Fu-Yan Hu ; Xing-Ming Zhao ; Luonan Chen ; Kun He ; Le Lu ; Yongwei Cao ; Jingdong Liu

  • Author_Institution
    Dept. of Math., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    Oct. 31 2012-Nov. 3 2012
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    With the development of industrial technology, human beings are suffering from the pollution of heavy metals. Arsenic is a trace element of toxin, which has become a potential threat to rice that assimilates arsenic. Identifying the signaling pathways induced by arsenate stress in rice can help us understand how arsenic affects the biological systems of rice. In this article, based on rice molecular interaction network, we identified the signaling pathways induced by arsenic in rice with a computational approach. Functional enrichment analysis indicates that the predicted signaling pathway is related to arsenate stress in rice.
  • Keywords
    arsenic; crops; pollution; arsenate stress; biological system; functional enrichment analysis; heavy metal pollution; industrial technology; rice arsenic stress response pathway; rice molecular interaction network; signaling pathway identification; toxin; trace element; Arsenic; network flow model; signaling pathway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2012 IEEE Fourth International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0067-4
  • Type

    conf

  • DOI
    10.1109/PMA.2012.6524828
  • Filename
    6524828