Identifying Rice Arsenic Stress Response Pathways Based on Molecular Interaction Network
2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications(2012)
摘要
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.
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关键词
Arsenic,network flow model,signaling pathway
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