Quantitative iTRAQ LC-MS/MS proteomics reveals metabolic responses to biofuel ethanol in cyanobacterial Synechocystis sp. PCC 6803.
Recent progress in metabolic engineering has led to autotrophic production of ethanol in various cyanobacterial hosts. However, cyanobacteria are known to be sensitive to ethanol, which restricts further efforts to increase ethanol production levels in these renewable host systems. To understand the mechanisms of ethanol tolerance so that engineering more robust cyanobacterial hosts can be possible, in this study, the responses of model cyanobacterial Synechocystis sp. PCC 6803 to ethanol were determined using a quantitative proteomics approach with iTRAQ LC-MS/MS technologies. The resulting high-quality proteomic data set consisted of 24,887 unique peptides corresponding to 1509 identified proteins, a coverage of approximately 42% of the predicted proteins in the Synechocystis genome. Using a cutoff of 1.5-fold change and a p-value less than 0.05, 135 and 293 unique proteins with differential abundance levels were identified between control and ethanol-treated samples at 24 and 48 h, respectively. Functional analysis showed that the Synechocystis cells employed a combination of induced common stress response, modifications of cell membrane and envelope, and induction of multiple transporters and cell mobility-related proteins as protection mechanisms against ethanol toxicity. Interestingly, our proteomic analysis revealed that proteins related to multiple aspects of photosynthesis were up-regulated in the ethanol-treated Synechocystis cells, consistent with increased chlorophyll a concentration in the cells upon ethanol exposure. The study provided the first comprehensive view of the complicated molecular mechanisms against ethanol stress and also provided a list of potential gene targets for further engineering ethanol tolerance in Synechocystis PCC 6803.
School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China.
Jianjun
J
Qiao
Jiangxin
J
Wang
Lei
L
Chen
Xiaoxu
X
Tian
Siqiang
S
Huang
Xiaoyue
X
Ren
Weiwen
W
Zhang
D056804:Biofuels; D002734:Chlorophyll / Q000378:metabolism; D000077194:Chlorophyll A; D002853:Chromatography, Liquid / Q000379:methods*; D000458:Cyanobacteria / Q000378:metabolism*; D000431:Ethanol / Q000378:metabolism*; D005434:Flow Cytometry; D040901:Proteomics; D046939:Synechocystis / Q000378:metabolism*; D053719:Tandem Mass Spectrometry / Q000379:methods*
D056804:Biofuels; D002734:Chlorophyll; D000431:Ethanol; D000077194:Chlorophyll A