Liu Jiao, Qi Haishan, Wang Cheng, Wen Jianping
Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072 People's Republic of China.
SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072 People's Republic of China.
Biotechnol Biofuels. 2015 Aug 1;8:108. doi: 10.1186/s13068-015-0291-2. eCollection 2015.
Few strains have been found to produce isobutanol naturally. For building a high performance isobutanol-producing strain, rebalancing redox status of the cell was very crucial through systematic investigation of redox cofactors metabolism. Then, the metabolic model provided a powerful tool for the rational modulation of the redox status.
Firstly, a starting isobutanol-producing E. coli strain LA02 was engineered with only 2.7 g/L isobutanol produced. Then, the genome-scale metabolic modeling was specially carried out for the redox cofactor metabolism of the strain LA02 by combining flux balance analysis and minimization of metabolic adjustment, and the GAPD reaction catalyzed by the glyceraldehyde-3-phosphate dehydrogenase was predicted as the key target for redox status improvement. Under guidance of the metabolic model prediction, a gapN-encoding NADP(+) dependent glyceraldehyde-3-phosphate dehydrogenase pathway was constructed and then fine-tuned using five constitutive promoters. The best strain LA09 was obtained with the strongest promoter BBa_J23100. The NADPH/NADP + ratios of strain LA09 reached 0.67 at exponential phase and 0.64 at stationary phase. The redox modulations resulted in the decrease production of ethanol and lactate by 17.5 and 51.7% to 1.32 and 6.08 g/L, respectively. Therefore, the isobutanol titer was increased by 221% to 8.68 g/L.
This research has achieved rational redox status improvement of isobutanol-producing strain under guidance of the prediction and modeling of the genome-scale metabolic model of isobutanol-producing E. coli strain with the aid of synthetic promoters. Therefore, the production of isobutanol was dramatically increased by 2.21-fold from 2.7 to 8.68 g/L. Moreover, the developed model-driven method special for redox cofactor metabolism was of very helpful to the redox status modulation of other bio-products.
很少有菌株被发现能天然产生异丁醇。为构建高性能的异丁醇生产菌株,通过对氧化还原辅因子代谢的系统研究来重新平衡细胞的氧化还原状态至关重要。代谢模型为合理调节氧化还原状态提供了有力工具。
首先,构建了初始的异丁醇生产大肠杆菌菌株LA02,其异丁醇产量仅为2.7 g/L。然后,通过结合通量平衡分析和代谢调节最小化,专门对菌株LA02的氧化还原辅因子代谢进行了基因组规模的代谢建模,并预测由甘油醛-3-磷酸脱氢酶催化的GAPD反应是改善氧化还原状态的关键靶点。在代谢模型预测的指导下,构建了编码NADP(+)依赖性甘油醛-3-磷酸脱氢酶的gapN途径,然后使用5个组成型启动子进行微调。使用最强启动子BBa_J23100获得了最佳菌株LA09。菌株LA09在指数期和稳定期的NADPH/NADP + 比值分别达到0.67和0.64。氧化还原调节导致乙醇和乳酸的产量分别降低17.5%和51.7%,降至1.32 g/L和6.08 g/L。因此,异丁醇滴度提高了221%,达到8.68 g/L。
本研究借助合成启动子,在产异丁醇大肠杆菌菌株的基因组规模代谢模型的预测和建模指导下,实现了产异丁醇菌株氧化还原状态的合理改善。因此,异丁醇产量从2.7 g/L显著提高到8.68 g/L,提高了2.21倍。此外,所开发的专门针对氧化还原辅因子代谢的模型驱动方法对其他生物产品的氧化还原状态调节非常有帮助。