讲座题目：Metabolic Engineering of Yeast
主 讲 人：Jens Nielsen 教授 Chalmers University of Technology
Jens Nielsen教授，美国工程院外籍院士、丹麦皇家科学与文学学院院士、瑞典皇家科学院院士、美国微生物学会会员，在查尔姆斯理工大学化学和生物工程担任系主任，同时在诺和诺德可持续发展中心任教授，以及瑞典皇家技术研究所任副教授。Jens Nielsen教授在Nature biotechnology和Nature communication 发表了多篇文章，53篇高影响因子文章被他引11600多次（2011年1300次左右，2012年大于1200次），担任Biotechnology and Bioengineering 、Bioprocess and Biosystems Engineering期刊的副主编以及，FEMS Yeast Research、 Microbial Cell Factories等10多个期刊的编委，出版了Bioreaction Engineering (1994,2003) ,，Metabolic Engineering (1998) ，Metabolome Analysis (2007)等教材；在一些国际会议中（Metabolic Engineering IV 2002, Industrial Systems Biology 2010, Symposium on Systems Medicine 2011）任大会主席。
Metabolic Engineering relies on the Design-Build-Test cycle. This cycle includes technologies like mathematical modeling of metabolism, genome editing and advanced tools for phenotypic characterization. In recent years there have been advances in several of these technologies, which has enabled faster development of metabolically engineered strains that can be used for production of fuels and chemicals.
The yeast Saccharomyces cerevisiae is widely used for production of fuels, chemicals, pharmaceuticals and materials. Through metabolic engineering of this yeast a number of novel industrial processes have been developed over the last 10 years. Besides its wide industrial use, S. cerevisiae also serves as an eukaryal model organism, and many systems biology tools have therefore been developed for this organism. These tools can be used for detailed phenotypic characterization as well as for metabolic design.
In this lecture it will be demonstrated how the Design-Build-Test cycle of Metabolic Engineering has allowed for development of yeast cell factories for production of a range of different fuels and chemicals. Some examples of different technologies will be presented together with examples of metabolic engineering designs, in particular for development of platform strains that can be used for production of a fatty acid derived products, e.g. fatty alcohols and alkanes. It will be argued that with advancement in genome-editing technologies and novel methods for rapid phenotypic screening, advancement in the field is hampered by our design abilities, i.e. to predict genotype-phenotype connections. For this genome-scale metabolic models is a strong technology, and in the presentation recent advancements in mathematical modeling for cell factory design will be presented.