2023 Fiscal Year Final Research Report
Development of a temperature response model using gene expression caused by microclimate change.
| Project/Area Number |
21K05861
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
|
|---|
| Research Institution | National Agriculture and Food Research Organization |
|---|
Principal Investigator |
Mochizuiki Ryota 国立研究開発法人農業・食品産業技術総合研究機構, 九州沖縄農業研究センター, 研究員 (90846065)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
鈴木 達郎 国立研究開発法人農業・食品産業技術総合研究機構, 九州沖縄農業研究センター, グループ長補佐 (00469842)
|
|---|
| Project Period (FY) |
2021-04-01 – 2024-03-31
|
| Keywords | 次世代シーケンサー / 微気象 / 生育モデル / 遺伝子発現 |
|---|
| Outline of Final Research Achievements |
To construct a model for early prediction of heat stress, we observed the air temperatures inside the common buckwheat canopy and explored temperature-responsive genes. Based on the observation results of the temperature inside the canopy, it was found that the temperature inside the common buckwheat canopy is approximately 1 degree lower than the temperature at reference height. This temperature difference is relatively small compared to other field crops such as soybeans, so cultivation management may reduce air temperature inside the canopy and alleviate heat stress. Regarding exploring temperature-responsive genes, we focused on selfed strains with differential temperature responses under 30-degree conditions. Gene analysis using RNA-seq has revealed a group of genes that commonly respond to heat stress. Based on these results, we are currently constructing a model for early detection of heat stress in crop plants.
|
| Free Research Field |
農業気象
|
| Academic Significance and Societal Importance of the Research Achievements |
近年の温暖化に適応した作物栽培を考える上で、作物の器官別熱ストレスを定量化する手法は新たな栽培技術や栽培適地を検討する上で重要な指標となる。本研究において熱ストレスを定量化するための候補遺伝子群を選抜することに成功したため、今後はその中からより指標として適切な遺伝子を選抜することが実用化に向けた一歩となるであろう。また普通ソバの遺伝子発現に関する網羅的な解析例は少なく、熱ストレスに関連する遺伝子群の情報は作物の品種改良においても重要な情報となる。
|
