吴庆余
近期热点
资料介绍
个人简历
1982年,南京大学 学士 1985年,南京大学 硕士 1988年-1990年,美国William Paterson University of New Jersey 访问学者 1993年-1994年,美国Arizona State University访问学者 现任清华大学教授、生物学学位分委员会主席、生物技术研究所所长研究领域
微藻生物能源(生物柴油)技术 蓝细菌分子生物学 微生物地球化学近期论文
1. Wei Xiong, Lixia Liu, Chao Wu, Chen Yang, Qingyu Wu,2010, 13C tracer and GC-MS analysis reveal metabolic flux distribution in oleaginous microalga Chlorella protothecoides. Plant Physiology, 154(2): published on line, August 20,2010, as DOI:10.1104/pp.110.158956 2. Wei Xiong, Chunfang Gao, Dong Yan, Chao Wu and Qingyu Wu,2010, Double CO2fixation in photosynthesis-fermentation model enhances algal lipid synthesis for biodiesel production. Bioresource Technology, 101, 2287-2293. 3. Wei Xiong and Qingyu Wu, 2008, High-density fermentation of microalga Chlorella protothecoides in bioreactor for microbio-diesel production. Appl Microbiol Biotechnol, 78, 29-36. 4. Xiaoling Miao, Qingyu Wu, 2006, Biodiesel production from heterotrophic microalgal oil. Bioresource Technology, 97: 841-846. 5. Yue Lu , Junbiao Dai & Qingyu Wu, 2013, Photosynthesis-fermentation hybrid system to produce lipid feedstock for algal biofuel, Environmental Technology, 34:13-14, 1869-1876, DOI: 10.1080/09593330.2013.824011 6. Chunfang Gao, Yun Wang, Yue Shen, Dong Yan, Xi He, Junbiao Dai and Qingyu Wu, 2014, Oil accumulation mechanisms of the oleaginous microalga Chlorella protothecoides revealed through its genome, transcriptomes, and proteomes. BMC Genomics 2014, 15:582 doi:10.1186/1471-2164-15-582 7. Li Zhao, Junbiao Dai and Qingyu Wu, 2014, Autophagy-like processes are involved in lipid droplet degradation in Auxenochlorella protothecoides during the heterotrophy-autotrophy transition. Frontiers in Plant Science,published: 14 August 2014 doi: 10.3389/fpls.2014.00400 8. Chao Wu, Wei Xiong, Junbiao Dai, Qingyu Wu, 2015, Genome-based Metabolic Mapping and 13C Flux Analysis Reveal Systematic Properties of an Oleaginous Microalga Chlorella protothecoides . Plant Physiology, 167:586-599. [On line Plant Physiology. Published on December 15, 2014, as DOI:10.1104/pp.114.250688]标签: 清华大学 生物信息学教育部重点实验室
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