Research Director

Kentaro Shimizu
Kihara Institute of Biological Research, Yokohama City University
Guest Professor
website
Outline
A large number of crop species are polyploid, which were originated by the merge of different genomic DNA. Due to polyploidy, their genome-wide study has been difficult. In this research, we will develop technology to collect large-scale multiomics data of polyploid plants in the natural field conditions and artificial intelligence technology to infer environmental robustness, or the adaptability to a broad range of fluctuating environments that are projected globally in a near future. Using these technologies developed on the model polyploid species Arabidopsis kamchatica, we will isolate genotypes of high environmental robustness in polyploid wheat,the most important crop in the world with the second largest consumption next to rice in Japan, setting our sights on stable production.
Collaborator
Jun Sese |
Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Machine Learning Team, Team Leader |
Yuki Shimahara |
LPixel Inc., Representative Director |
Kentaro Shimizu |
Department of Evolutionary Biology and Environmental Studies, University of Zurich, Extraordinarius Professor |
Kenta Tanaka |
Fuculty of Life and Environmental Sciences, University of Tsukuba, Associate Professor |
Shuhei Nasuda |
Graduate School of Agriculture, Kyoto University, Professor |