Development of expression biomarkers to estimate nutrient conditions
Project/Area Number |
16H06171
|
Research Category |
Grant-in-Aid for Young Scientists (A)
|
Allocation Type | Single-year Grants |
Research Field |
Plant molecular biology/Plant physiology
|
Research Institution | Ryukoku University |
Principal Investigator |
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥24,180,000 (Direct Cost: ¥18,600,000、Indirect Cost: ¥5,580,000)
Fiscal Year 2018: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2017: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2016: ¥10,140,000 (Direct Cost: ¥7,800,000、Indirect Cost: ¥2,340,000)
|
Keywords | トランスクリプトーム / 栄養 / リン / 発現マーカー / 統計モデリング / 機械学習 / RNA-Seq / バイオマーカー / 環境応答 / 数理工学 |
Outline of Final Research Achievements |
It is important to measure quantity of nutrients in plants for plant science and agriculture. In this study, we develop gene-expression markers to estimate the quantity of nutrients. Low-cost and high-throughput RNA-Seq library preparation system was updated for collecting massive transcriptome data to train the markers. We developed the markers using transcriptome data and trait data of samples in various nutrient conditions, temperature conditions, light conditions and circadian timings.
|
Academic Significance and Societal Importance of the Research Achievements |
本研究で開発した植物の栄養状態を推定する発現マーカーは、作物の栄養状態の診断や適切な施肥タイミングや施肥方法の検討に役立つと考えられる。また、野生植物への応用が可能になった場合には、熱帯林の一斉開花や、ブナの豊凶、地域の植生などを予測するモデルと組み合わせて用いることで、これらの予測の精度を高められる可能性がある。
|
Report
(4 results)
Research Products
(26 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Book] 定量生物学2018
Author(s)
小林 徹也
Total Pages
250
Publisher
化学同人
ISBN
9784759817300
Related Report
-