2022 Fiscal Year Final Research Report
Development of novel genetically modified plants with information-displayed leaves that can be used for crop cultivation monitoring
| Project/Area Number |
21K19109
|
|---|
| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
|
| Allocation Type | Multi-year Fund |
|---|
| Review Section |
Medium-sized Section 39:Agricultural and environmental biology and related fields
|
|---|
| Research Institution | Tokyo University of Agriculture and Technology |
|---|
Principal Investigator |
suzuki sakae 東京農工大学, (連合)農学研究科(研究院), 准教授 (80397017)
|
|---|
| Project Period (FY) |
2021-07-09 – 2023-03-31
|
| Keywords | 画像データ / フラボノイド色素 / プロモーター / モニタリング / センサ / ストレス処理 |
|---|
| Outline of Final Research Achievements |
In the present study, we tried to develop a novel GM-plants with information-displayed leaves that can be used for crop cultivation monitoring. As a result of our research, in tobacco GM-plants, we found a combination of genes that causes leaves to turn red due to anthocyanin pigments after stress treatments such as UV exposure, excess water on the leaves, leaf cutting, and contact with whiteflies (pests). When the promoter of the AtDJ-1 gene (antioxidant protein) from Arabidopsis thaliana was used to control the transcriptional activator VP16 and the transcriptional promoter gene (Atpap1) of the anthocyanin biosynthetic pathway, leaf redness was induced.
|
| Free Research Field |
園芸学
|
| Academic Significance and Societal Importance of the Research Achievements |
本技術のGM植物は収穫対象ではなく，各種センサ機器と同等な生物センサとして，生産地に一定間隔で栽培することを想定しており，収穫対象作物の遺伝子発現情報を画像データとして活用し，直接サンプリングせずに遺伝子レベルの詳細なモニタリングが可能となる．将来的に本技術は，AI技術と融合させ様々な分野で利用できる「葉のディスプレイ化技術」へも発展可能である．また，消費者にも新たな価値を提供できる可能性がある．すなわち，購入者が温度や光などの栽培環境を変えることに反応し，花や葉の色や模様が変化する新奇な観賞用作物の作出につながると考えられる．
|
