Advancing programmable genetic computation to control plant gene activity

推进可编程遗传计算以控制植物基因活动

• 批准号: DP210103954
• 负责人: Prof Ryan Lister
• 金额: $ 38.57万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP210103954
• 关键词: Advancing; programmable; genetic; computation; control

Plants can sense diverse internal and external conditions and integrate them to appropriately tune their response and maximize fitness. Plant biotechnology relies heavily on manipulating gene activity to change cell functions and confer advantageous agronomic traits. However, our ability to control plant gene activity remains rudimentary, limiting our biotechnology capabilities. This project aims to develop synthetic gene logic gates in plants, to enable the construction of programmable genetically-encoded computational functions that can sense and process customizable inputs to drive desired changes in plant function. This advance will underpin useful applications in plant biotechnology such as improved crop stress tolerance and yield.

植物可以感知不同的内部和外部条件，并将它们整合在一起，适当地调整它们的反应，使其最大限度地适应环境。植物生物技术在很大程度上依赖于操纵基因活性来改变细胞功能和赋予有利的农艺性状。然而，我们控制植物基因活性的能力仍然很低，限制了我们的生物技术能力。该项目旨在开发植物中的合成基因逻辑门，使构建可编程的遗传编码计算功能成为可能，这些功能可以感知和处理可定制的输入，以驱动植物功能的预期变化。这一进展将为植物生物技术的有用应用奠定基础，例如提高作物的抗逆性和产量。