| Project/Area Number |
15KT0147
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 特設分野 |
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| Research Field |
Constructive Systems Biology
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Nakaoka Shinji 東京大学, 生産技術研究所, 派遣研究員 (30512040)
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| Co-Investigator(Kenkyū-buntansha) |
川上 英良 国立研究開発法人理化学研究所, 科学技術ハブ推進本部, ユニットリーダー (30725338)
細田 一史 大阪大学, 未来戦略機構, 特任准教授(常勤) (30515565)
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| Project Period (FY) |
2015-07-10 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 人工培養系 / 数理モデル / 進化のダイナミクス / 複合オミクス解析 / 人工共培養系 |
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| Outline of Final Research Achievements |
Despite the importance of contingent effects on the evolutionary process of living systems, theoretical considerations and experimental validations have not been fully investigated yet. In this research, we aimed to investigate contingent effects by developing an artificial experimental evolution system of Saccharomyces cerevisiae (S. cerevisiae) cocultured with Escherichia coli (E. coli). De novo mutations that might occur during replications of S Cerevisiae and E. coli are identified by genomic sequences. Gene expression profiles are measured by transcriptomics. These omics datasets are then integrated into a multi-scale mathematical model representing intracellular-molecular and intercellular population dynamics. Our theoretical approach combined with validation by experimental evolution systems would provide a key to understand the role of emerging and contingent property on evolutionary processes.
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