Analysis of Microbial Community (Hydrogen・Methane Fermentation, Electrochemical Culture, Microbial Fuel Cell, Intestinal Flora), Fine-chemical Production
Ph.D. (Doctor of Agriculture), Department of Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan, 2008
Project Assistant Professor, Engineering Biology Research Center, Kobe University, Japan
Project Assistant Professor, Graduate School of Science, Technology and Innovation, Kobe University, Japan
2018-: Project Assistant Professor, Engineering Biology Research Center, Kobe University, Japan
2016-: Project Assistant Professor, Graduate School of Science, Technology and Innovation, Kobe University, Japan
2013-2016: Project Assistant Professor, Organization of Advanced Science and Technology, Kobe University, Japan
2012-2013: Project Assistant Professor, Graduate School of Engineering, Kobe University, Japan
2010-2012: Research Fellow, Research Scientist in Biotechnology Sector, Central Research Institute of Electric Power Industry (CRIEPI), Japan
2008-2010: Research Fellow, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan
I have conducted the studies of microbial community. The target environments are "anaerobic fermentation" represented by methane fermentation and hydrogen fermentation, "electrochemical microorganism (s) culture", "microbial fuel cells", and "human gut flora". I have revealed the efficiency of waste treatment and energy recovery for the effective utilization of unused biomass, and the relationship between intestinal microbiome and estimated human health, from the analyses of the ecology and physiology of microbial communities. In addition, for fine-chemical production by microorganisms, I have also carried out the studies using gene-recombination technology.
My motivation in the study of microbial communities is to understand the complex structure and the interaction of microbial species under the various environments. Applying the next-generation sequencing and comprehensive metabolic analysis to the microbial communities is already successful. Currently, we are trying to evaluate the obtained big data by informatics. Research results of the microbial community are very complex and difficult to understand. However, I feel happy when I can explain the function of the microbial community by combination of some of the data.