Mechanisms of Photosynthetic Acclimation in C3 Plants

C3植物光合驯化机制

• 批准号: 8906390
• 负责人: Rowan Sage
• 金额: $ 22.51万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-01 至 1993-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8906390&HistoricalAwards=false
• 关键词: Mechanisms; Photosynthetic; Acclimation; C3; Plants

Plant productivity is largely dependent on the photosynthesis rate of leaf canopies throughout the growing season. Because the environment surrounding a leaf is constantly changing, plants must modify the photosynthetic apparatus to compensate for the effect of environmental change if they are to maintain high rates of productivity. While recent work has focused on elucidating mechanisms of the photosynthetic response to rapid, short-term change in the environment, understanding of the mechanisms driving acclimation to seasonal, long-term change is limited. This work will study the mechanisms controlling the acclimation of photosynthesis to long-term changes in the environment, specifically light and CO2. The principal hypothesis is that following a change in light intensity or ambient CO2 level, the amount of protein invested in the component processes of the photosynthetic apparatus will be adjusted so that a balance is maintained between each step in the photosynthetic pathway. Thus, if a change in the environment leads to a single step limiting photosynthesis, nitrogen and carbon would be reallocated from nonlimiting processes and invested into the limiting process, increasing the rate of the limiting process and the overall photosynthesis rate. In fully acclimated plants, resources may be allocated optimally so that no single step limits photosynthesis. This work will improve understanding of the factors limiting growth, photosynthesis, and resource use efficiency in realistic environments. Our ability to identify beneficial traits, and to model and predict the performance of crop as well as wild plants will be substantially enhanced. In light of the significant change in global environments, particularly with respect to atmospheric warming and rising CO2, an improved ability to predict how plants respond to long-term environmental change will be invaluable for estimating the impact of global change on natural and agricultural ecosystems.

植物的生产力在很大程度上取决于植物的光合作用速率。 在整个生长季节的树冠。 因为环境 周围的叶子是不断变化的，植物必须修改 光合机构，以补偿环境的影响 如果他们要保持高生产率，就必须做出改变。 虽然最近 工作集中在阐明光合作用的机制， 对环境快速、短期变化的反应，理解 驱动适应季节性长期变化的机制是 有限公司 本研究将研究控制 光合作用适应环境的长期变化， 特别是光和CO2。 主要假设是， 光强度或环境CO2水平的变化，蛋白质的量 投资于光合机构的组成过程将 调整，以便在每个步骤之间保持平衡， 光合途径 因此，如果环境的变化导致 一步限制光合作用，氮和碳将是 从非限制性过程中重新分配，并投入到限制性过程中 过程，增加限制过程的速率和总体 光合速率 在完全适应的植物中，资源可能是 这样就不会有单一的步骤限制光合作用。 这项工作将提高对限制增长的因素的理解， 光合作用和现实环境中的资源利用效率。 我们识别有益性状的能力，以及建模和预测 作物和野生植物的表现将大大 增强 鉴于全球环境的重大变化， 特别是在大气变暖和二氧化碳上升方面， 提高预测植物如何应对长期 环境变化将是非常宝贵的估计的影响， 自然和农业生态系统的全球变化。