| Project/Area Number |
16H04858
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Science in genetics and breeding
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Iwata Hiroyoshi 東京大学, 大学院農学生命科学研究科(農学部), 准教授 (00355489)
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| Co-Investigator(Kenkyū-buntansha) |
辻本 壽 鳥取大学, 乾燥地研究センター, 教授 (50183075)
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| Research Collaborator |
Rendall Jennifer
Grauke LJ
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2018: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2016: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Keywords | 遺伝資源 / ゲノミック予測 / ゲノムワイドアソシエーション研究 / リモートセンシング / 環境適応 / 遺伝資源リソース / 遺伝的多様性 / 表現型計測 / 遺伝資源リソース・多様性 |
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| Outline of Final Research Achievements |
There are more than 1750 genebanks in the world, and 7.4 million plant accessions are stored in the genebanks. However, less than 1% of them have been used in plant breeding. In this study, we developed methods to discover useful genetic variations based on genome-wide marker information collected for genetic resources. By combining genomic prediction and Bayesian optimization, we can efficiently discover excellent genotypes from a large number of candidates. It was also suggested that the discovery of useful genetic variations in genetic resources can be made more efficient by combining high-throughput phenotyping using remote sensing and association studies with environmental data.
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| Academic Significance and Societal Importance of the Research Achievements |
食料問題が深刻化する今後、遺伝資源のもつ有用変異を活用した育種が非常に重要となる。本研究では、ゲノム情報をもとに、有用な遺伝変異を効率的に探索するための手法を開発した。また、ゲノム情報と、リモートセンシングから得られる表現型情報、あるいは、遺伝資源採取地の環境情報を合わせて用いることで、有用遺伝変異の探索を効率化できることを明らかにした。本研究の成果は、遺伝資源のもつ有用変異の発見・利用に貢献すると期待される。
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