Protein Network Signatures Associated with Exogenous Biofuels Treatments in Cyanobacterium Synechocystis sp. PCC 6803

摘要: Although recognized as a promising microbial cell factory for producing biofuels, current productivity in cyanobacterial systems is low. To make the processes economically feasible, one of hurdles which needs to be overcome low tolerance hosts toxic biofuels. Meanwhile, little information available regarding cellular responses biofuels stress cyanobacteria, makes it challenging engineering. Using large proteomic datasets Synechocystis under various and environmental perturbation, protein co-expression network was first constructed then combined with experimentally determined protein-protein interaction (PPI) network. Proteins statistically higher topological overlap integrated were identified common responsive proteins both perturbations. In addition, WGCNA analysis performed distinguish unique from those perturbations uncover metabolic modules uniquely associated stress. The results showed that biofuel-specific enriched several functional categories, including photosynthesis, carbon fixation amino acid metabolism, may represent potential key signatures Synechocystis. Network-based allowed determination specifically related stress, constituted an important knowledge foundation engineering against