Group Leader
- Basic Information
- >> Group Head: Zhu Xinguang
- >> Research Area: Plant Systems Biology
- >> Group Secretary: Wang Sisi
- >> Contact Email: wangsisi0825@163.com
Group Leader
Xin-Guang Zhu, PhD University of Illinois at Urbana Champaign
Professor of Plant Systems Biology
CAS-MPG Partner Institute for Computational Biology, SIBS, CAS
Tel: 54920486
Email: zhuxinguang@picb.ac.cn
Research Interest
Professor of Plant Systems Biology
CAS-MPG Partner Institute for Computational Biology, SIBS, CAS
Tel: 54920486
Email: zhuxinguang@picb.ac.cn
Research Interest
Improving photosynthesis is regarded as a major, if not the only feasible, option to dramatically increase
crop productivity and ultimately solve the food and energy issues facing our society for now and in the near
future. Our group is interested in exploring new options to improve photosynthesis of major crops using
state-of-art systems biology and synthetic biology approaches. Specifically, we focus on a) developing new
models and tools to support identification of new breeding or engineering targets to gain higher photosynthetic
efficiency and correspondingly higher productivity in major C3 food crops, such as rice b) identifying critical
regulators controlling the evolutionary and developmental processes of C4 photosynthesis, which holds higher
light, nitrogen, and water use efficiencies than C3 photosynthesis, with the ultimate goal of engineering C4
photosynthetic system into C3 crops. We are also working on understanding how improved photosynthetic
efficiency can be effectively converted into increased grain production in crops, i.e. how the increased source
activity can be effectively channeled into improved sink productivity. In our studies, in addition to systems modeling,
we use a suite of techniques, including physiological measurement, biochemical and molecular experiments,
comparative genomics, transcriptomics, and epigenomics, and genome wide association studies.
Laboratory experiments, greenhouse studies and large scale field trials are used as necessary in our research.
CAS-MPG Partner Institute for Computational Biology
Address: Room 106.Main Building. 320 Yue Yang Road. Shanghai 200031, China
Tel: +86-21-5492-0490 Fax: +86-21-5492-0451
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