Driving the Global Bioeconomy with Genomics
2021.10.13 Wed. 14:30~15:30
Annex Hall F201-202
Annex Hall F201-202
Summary | AIST is carrying out research and development with various approaches to realize bioeconomy society.
In this seminar, we Department of Life Science and Biotechnology will introduce our recent studies using genomics approaches to advance the global bioeconomy,
such as the development of an innovative technology for the derivatization of natural compounds, a new method based on network modeling to propose candidate microbial genes for the promotion of microbial engineering, and an advanced technology to introduce proteins into plant cells for genome editing.
Coordinator:Chiba Yasunorii Director, Reserch Planning Office, Department of Life Science and Biotechnology, AIST |
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[1] | 14:30-14:50 Innovative technology for the production of natural compounds and its derivatives (application for drug development) Shin-ya Kazuo, Group Leader, Cellular and Molecular Biotechnology Research Institute, AIST |
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Natural compounds have long been used as a resource for the development of pharmaceuticals and agrochemicals because of their potent activities and complex structures that are beyond human wisdom.
However, due to their complex structures, they are difficult to derivatize, which has been a bottleneck in industrial development.
We have succeeded in developing a technology to create derivatives with the intended structure of compounds with complex structures biosynthesized by ultra-large biosynthetic genes of over 100 kb. In this presentation, I will explain the innovative technology for the derivatization of natural compounds and its applications. |
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[2] | 14:50-15:10 Effectiveness of Network Modeling for Microbial Breeding Aburatani Sachiyo, Vice Director, AIST-Waseda University Copmutational Bio-Big Data Open Innovation Laboratory |
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Microbial production is expected to replace the use of fossil fuels in the bioeconomy.
For the practical application of microbial production, it is essential to improve the productivity of host microorganisms. We have developed a method using network modeling, which is a technique of information analysis, to propose candidate genes that can be modified to improve microbial production capacity.
Unlike conventional host modification methods based on metabolic pathways, network modeling is a data-driven analysis method that uses gene expression data.
By using this method, we have been able to discover new candidate genes for modification that improve the production capacity of several microbial hosts. In this seminar, we will introduce this method and its applications. |
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[3] | 15:10-15:30 Intracellular delivery of genome editing proteins | |
Genome editing, which rewrites DNA sequence information, is a promising technology towards bioeconomy and bioindustry utilizing genetic resources. However, there are three major issues for plant genome editing; 1) delivery technology that introduces proteins into cells via cell wall, 2) high-throughput technology that analyzes huge number of plants parallelly, and 3) intellectual property. To overcome these issues, we have developed our original technology for plants under NEDO project “National genome editing technology platform”. In this session, we introduce several studies related to intracellular delivery of proteins into plant cells and high-throughput screening. |