题目1：Yarrowia lipolytica: A Versatile Microbial Workhorse for Expanding Nature’s Biosynthetic Capacity

报告人：徐鹏 博士

时 间：2019-7-9下午4:00-5:00

地 点: 化工与能源学院210会议室

讲座内容

Yarrowia lipolytica is an oleaginous yeast that has been substantially engineered for production of oleochemcials and drop-in transportation fuels. It has been considered as a ‘generally recognized as safe’ (GRAS) organism for the production of organic acids in the food and nutraceutical industry. The high precursor acetyl-CoA and malonyl-CoA flux along with the versatile carbon-utilization capability makes this yeast as a superior host to upgrade low-value carbons into high-value pharmaceuticals and plant natural products (PNPs). Bacteria system in general is less efficient to express the complex gene cluster of plant natural product pathway. Unlike bacteria, yeast has developed spatially separated organelles to partition specialized metabolic functions into distinct cellular compartments. In this talk, I will present strategies to build genetic toolkits to streamline the genetic/genome modification for Y. lipolytica.  I will also present strategies to harness the endogenous acetyl-CoA/malonyl-CoA/HMG-CoA metabolism toward engineering efficient yeast cell factories to produce complex oleochemicals, terpenes, polyketides and aromatic commodity chemicals. We identified pathway limitations and assessed genetic engineering strategies to elevate the level of acetyl-CoA, malonyl-CoA, HMG-CoA and NADPH. This work will provide a testbed for engineering Y. lipolytica and expanding nature’s biosynthetic capacity to produce complex fuels and chemicals from renewable feedstocks.

演讲人简历

徐鹏, 博士, 马里兰大学（Baltimore分校区）化工与生化工程系担任助理教授，2013至2016年在麻省理工学院Greg Stephanopoulos教授课题组完成了博士后，2013年从伦斯勒理工学院(RPI)化学与生物工程系获得博士学位，导师为Mattheos Koffas。2016年在马里兰大学组建合成生物学与智能控制实验室，担任实验室主任。2003年，在江南大学生物工程学院获得生物工程本科学位，2006年获得生化工程硕士学位。目前发表论文40余篇，被引2154余次，分别发表在Nature communications、PNAS、Nature Biotechnology和Metabolic Engineering等杂志。目前担任Metabolic Engineering 编委，曾获得2012年“国家优秀自费留学生奖学金”。研究领域包括代谢工程、合成生物学、生物智能控制、遗传工具开发、数学建模等。