Prediction and characterization of protein-protein interaction network in Bacillus licheniformis WX-

• 作 者: Yi-Chao Han Jia-Ming Song Long Wang Cheng-Cheng Shu Jing Guo Ling-Ling Chen
• 机 构: 武汉生物技术研究院,武汉,430073
• 出 处: 第八届全国微生物资源学术暨国家微生物资源平台运行服务研讨会
• 发表日期: 2016年10期
• 关键词: Bacillus licheniformis protein-protein interaction (PPI) network domain-domain i

　　In this study,we constructed a protein-protein interaction (PPI) network of B.licheniformis strain WX-02 with interolog method and domain-based method,which contained 15,864 edges and 2,448 nodes.Although computationally predicted networks have relatively low coverage and high false-positive rate,our prediction was confirmed from three perspectives: local structural features,functional similarities and transcriptional correlations.Further analysis of the COG heat map showed that protein interactions in B.licheniformis WX-02 mainly occurred in the same functional categories.By incorporating the transcriptome data,we found that the topological properties of the PPI network were robust under normal and high salt conditions.In addition,267 different protein complexes were identified and 117 poorly characterized proteins were annotated with certain functions based on the PPI network.Furthermore,the sub-network showed that a hub protein CcpA jointed directly or indirectly many proteins related to γ-PGA synthesis and regulation,such as PgsB,GltA,GltB,ProB,Pro J,YcgM and two signal transduction systems ComP-ComA and DegS-DegU.Thus,CcpA might play an important role in the regulation of γ-PGA synthesis.This study therefore will facilitate the understanding of the complex cellular behaviors and mechanisms of γ-PGA synthesis in B.licheniformis WX-02.