Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families
Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families
复制标题
拟南芥基因网络的可控性分析揭示功能基因家族的特征
DOI:
10.1109/tcbb.2018.2821145
复制
发表时间:
2019-05
期刊:
影响因子:
--
通讯作者:
Lu Jinhu
中科院分区:
文献类型:
--
作者:
Wang Pei;Wang Daojie;Lu Jinhu
Based on structural controllability of complex networks and a constructed gene network with 9,241 nodes for Arabidopsis thaliana, we classified nodes into five categories via their roles in control or node deletion, including indispensable, neutral, dispensable, driver, and critical driver nodes. The indispensable nodes can increase the number of drivers after deletion, which are never drivers or critical drivers. About 10 percent of nodes are indispensable. However, more than 60 percent of nodes are neutral ones. More than 62 percent of nodes are drivers, which indicates the gene network is very difficult to be fully controlled. Gene Ontology (GO) enrichment analysis reveals that different sets of nodes have preferred biological functions and processes. The indispensable nodes are significantly enriched as essential genes, drought responsive and abscisic acid (ABA) independent genes, transcriptional factors (TFs), core cell cycle genes, and ABA and Gibberellin (GA) related genes. The critical drivers are enriched as receptor kinase-like genes, while shorted in WRKY TFs and functional genes that are enriched in the indispensable nodes. Robustness analysis based on node and edge additions, edge rewiring indicate the obtained conclusions are robust to network perturbations. Our investigations clarify control roles of some gene families and provide potential implications for identifying functional genes in other plant species, such as drought responsive genes and TFs.
登录
查看更多内容
影响因子:
3
作者:
Zhang XF;Ou-Yang L;Zhu Y;Wu MY;Dai DQ
通讯作者:
Dai DQ
影响因子:
16.6
作者:
Yuan, Zhengzhong;Zhao, Chen;Di, Zengru;Wang, Wen-Xu;Lai, Ying-Cheng
通讯作者:
Lai, Ying-Cheng
DOI:
10.1109/tcbb.2014.2299804
发表时间:
2014-03
期刊:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
影响因子:
--
作者:
Kristopher L. Patton;D. J. John;J. Norris;Daniel R. Lewis;G. Muday
通讯作者:
Kristopher L. Patton;D. J. John;J. Norris;Daniel R. Lewis;G. Muday
影响因子:
11.6
作者:
Vandepoele, K;Raes, J;Inzé, D
通讯作者:
Inzé, D
影响因子:
14.9
作者:
Huala, E;Dickerman, AW;Rhee, SY
通讯作者:
Rhee, SY