利用代谢网络微进化提高集胞藻6803乙醇耐受性及产率的机制研究

We aim to construct a platform for the study of metabolic network microevolution to explore the potential for the genetically engineered cyanobacterium Synechocystis PCC6803 strain to increase ethanol tolerance and ethanol productivity. Fundamental questions about mechanisms of material and energy conversion, and structural and functional microevolution of cellular networks in Synechocystis PCC6803 will be investigated to enhance our understanding of the photosynthetic organisms. The proposed project is characterized by: 1) close connection of genomics and biochemistry, bio-physiology for the exploration of metabolic networks. 2) Integration of computational biology and experimental biology for the study of microevolution of metabolic networks. 3) Visualization platform to enable strait forward and intuitive data mining using computer simulation and experimental data. Successful implementation of this project may help not only to reveal the evolution mechanism underlying biological systems from "microevolution" to "macroevolution", but also to envision a strong algal biofuel prospects for industrial applications.

本项目以蓝藻集胞藻（Synechocystis）PCC6803工程菌为研究对象，构建代谢网络微进化平台。以加强对藻类代谢和进化机制的了解为切入点，围绕蓝藻工程菌的物质与能量转化开展研究。从全基因组代谢网络出发，通过计算仿真和实验数据的交互式分析，探索加入生物元件后代谢网络的功能变化和适应性，深入分析乙醇生产途径的关键节点和调控机理；针对集胞藻6803工程菌特定系统功能要求，对生物元件-代谢网络适配性及其调控进行微进化人工优化，最终阐明细胞代谢网络微进化的理论机理，进而增强集胞藻6803工程菌耐受乙醇的能力和乙醇产量。本项目通过计算生物学与实验生物学相结合进行代谢网络微进化研究；从基因组学和生物化学、生物生理学层面探索代谢网络；可视化平台将海量仿真与试验结果完美呈现。本项目既有助于解决生物进化由"微"而"宏"机理的重大科学问题，又有很强的生物燃料工业应用前景。