Model Guided Molecular Design to Support High Yield Rice Breeding
Xin-Guang Zhu, Shanghai Institute of Plant Physiology and Ecology
Abstract: With the ever increasing information on genomics and genome editing technologies, a great challenge facing current plant biologists and breeders is to identify targets to engineer for desired traits. In the past decades, we have been working on developing a multi-scale multi-physics model of plant growth and development, i.e. ePlant. In this talk, I will discuss about the rationale behind this research area, the recent advances in this research direction and its application in guiding rice engineering and breeding.
Bio: Dr. Zhu works as a principle investigator in Chinese Academy of Sciences (CAS) since 2008. Between 2008 till 2017, he was in CAS-MPG Partner Institute for Computational Biology; since 2017 till now he is in Shanghai Institute of Plant Physiology and Ecology. Dr. Zhu holds an adjunct Professor positions in Hunan Agricultural University, State Key Laboratory of Hybrid Rice, and IGB of UIUC etc. His research focuses on developing novel computational tools to support identification of new traits to engineer or breed for increased crop yields, mostly on rice. Dr. Zhu leads the systems biology research in the CAS strategic leading project "Molecular Module Design Breeding." He is a member of the global C4 rice consortium and the RIPE consortium. Dr. Zhu. He serves on the editorial boards of Plant Cell and Environment, Frontiers in Plant Physiology, Royal Society Open Sciences, etc. He is a member of Faculty1000.
