Title of article :
Analysis of Gene Networks for Arabidopsis Flowering
Author/Authors :
Su, Yansen Huazhong University of Science and Technology - Department of Control Science and Engineering, China , Meng, Dazhi Beijing University of Technology - College of Applied Sciences, China , Li, Eryan Shandong University of Science and Technology - Institute of Information Science and Engineering, China , Wang, Shudong Shandong University of Science and Technology - Institute of Information Science and Engineering, China
Abstract :
The flowering time of Arabidopsis is sensitive to climate variability, with lighting conditions being a major determinant of the flowering time. Long-days induce early flowering, while short-days induce late flowering or even no flowers. This study investigates the intrinsic mechanisms for Arabidopsis flowering in different lighting conditions using mutual information networks and logic networks. The structure parameters of the mutual information networks show that the average degree and the average core clearly distinguish these networks. A method is then given to find the key structural genes in the mutual information networks and the logic networks respectively. Ten genes are found to possibly promote flowering with three genes that may restrain flowering. The sensitivity of this method to find the genes that promote flowering is 80%, while the sensitivity of the method to find the genes that restrain flowering is 100%
Keywords :
flowering gene , gene network , high , order logic , mutual information , systems biology
Journal title :
Tsinghua Science and Technology
Journal title :
Tsinghua Science and Technology