Collaborative Research: Multiscale Characterization and Dynamics Modeling of Stomatal Function in Plants

合作研究：植物气孔功能的多尺度表征和动力学建模

• 批准号: 1852184
• 负责人: Jun Zou
• 金额: $ 23.78万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852184&HistoricalAwards=false
• 关键词: Collaborative; Research; Multiscale; Characterization; Dynamics

This grant will support research that will improve our understanding of the functions of stomata, the micro-size pores in plant leaf surfaces. As the gatekeeper of carbon dioxide and water vapor exchange between plants and their surrounding environment, stomata are not only crucial to the health of the individual plants, but also have a direct and global impact on the evolution of our entire ecosystem. However, currently our understanding of stomatal movement and function is limited by the conventional strategies that only captured static, averaged, and long-term macro scale behaviors of stomata. Little is known about the qualitative characteristics of stomata behavior and functions at the micro-scale, and their correlation with the underlying physiological processes of the host plant. This award supports fundamental research to create a multiscale dynamics modeling framework centered on instantaneous stomatal movement. Success of this research will create a unique, powerful tool for stomata studies and a game-changing sensing device for monitoring and controlling plants' physiological activities, opening up and enabling a wide-range of fundamental biological research (e.g., defending mechanism of plants against insect attack, plant-environment interaction) and frontier agricultural applications (e.g., optimal crop growth control, rapid genotype to phenotype transition). Thus, results from this research will benefit both the U.S. society and the economy. The multidisciplinary nature of the research across dynamic system modeling and diagnostics, micro-electro-mechanical systems, and plant biology will help to attract and broaden participations of underrepresented groups in engineering and science fields, and positively impact engineering and science education. The multiscale characterization and modeling of stomatal movement can provide the tools needed for revealing the missing links between the internal molecular dynamics and the external cellular movement involved in stomatal regulation, and for mapping and correlating biomechanical evolutions of stomata and their underneath genetic roots. However, scientific challenges are yet to be addressed to establish such a modeling framework. The research team will create a biophysics-based multiscale stomatal dynamics model that links and correlates subcellular mechanical evolutions to microscale cellular activities during stomatal movement. The modeling approach will be built upon a novel atomic force microscope technique to quantitatively map nanomechanical evolutions during single stoma movement, and one-of-a-kind miniaturized sensors to measure the water vapor and electrical potential variations caused by the stomata movements. They will also identify, evaluate, and optimize the stomatal dynamics model through experiments, by using maize and Arabidopsis thaliana as example systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该赠款将支持研究，以提高我们对气孔（植物叶表面中的微型毛孔）功能的理解。作为植物及其周围环境之间二氧化碳和水蒸气交换的看门人，气孔不仅对单个植物的健康至关重要，而且对我们整个生态系统的演变产生了直接和全球的影响。但是，目前，我们对气孔运动和功能的理解受到只捕获静态，平均和长期宏观尺度行为的传统策略的限制。对于微观尺度上的气孔行为和功能的定性特征以及它们与宿主植物的基本生理过程的相关性，知之甚少。该奖项支持基本研究，以创建一个以瞬时气孔运动为中心的多尺度动力学建模框架。这项研究的成功将为气孔研究创造一种独特，强大的工具，并为监视和控制植物的生理活动，开放并实现广泛的基本生物学研究（例如，植物的防御机制抗抗抗抗植物的生理活动）的独特而有力的工具（例如昆虫攻击，植物环境相互作用）和边境农业应用（例如，最佳农作物生长控制，快速基因型对表型过渡）。因此，这项研究的结果将使美国社会和经济受益。研究跨动态系统建模和诊断，微机械系统以及植物生物学的多学科性质将有助于吸引和扩大代表性不足的工程和科学领域的参与，并对工程和科学教育产生积极影响。气孔运动的多尺度表征和建模可以提供揭示内部分子动力学与气孔调节所涉及的外部细胞运动之间缺少联系的工具，以及映射和相关的气孔及其在遗传根下的生物力学演变。但是，要建立这样的建模框架，尚待解决科学挑战。研究团队将创建一个基于生物物理学的多尺度气孔动力学模型，该模型将亚细胞机械演变与气孔运动期间的微观细胞活性联系起来。该建模方法将建立在新型的原子力显微镜技术上，以在单骨运动过程中定量地绘制纳米力学的演变，并在单基因的微型传感器上进行定量绘制纳米力学的发展，以测量由气孔运动引起的水蒸气和电势变化。他们还将通过使用玉米和拟南芥作为示例系统来识别，评估，评估和优化的气孔动态模型。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估来评估的，并被认为值得支持。标准。

项目成果

A new high-frequency photoacoustic sensing probe using silicon acoustic delay lines

使用硅声延迟线的新型高频光声传感探头

• DOI: 10.1117/12.2582745
• 发表时间: 2021
• 期刊: Photons Plus Ultrasound: Imaging and Sensing 2021
• 作者: Ustun, Arif Kivanc;Zou, Jun
• 通讯作者: Zou, Jun

Integration of microlenses on surface-micromachined optical ultrasound transducer array to improve detection sensitivity for parallel data readout

将微透镜集成在表面微机械光学超声换能器阵列上，以提高并行数据读出的检测灵敏度

• DOI: 10.1364/ol.476774
• 发表时间: 2023
• 期刊: Optics Letters
• 影响因子: 3.6
• 作者: Yan, Zhiyu;Zou, Jun
• 通讯作者: Zou, Jun

Large-scale 2D Surface-Micromachined Optical Ultrasound Transducer (SMOUT) array for 3D computed tomography

用于 3D 计算机断层扫描的大型 2D 表面微机械光学超声换能器 (SMOUT) 阵列

• DOI: 10.1117/12.2649277
• 发表时间: 2023
• 期刊: Photons Plus Ultrasound: Imaging and Sensing 2023
• 作者: Yan, Zhiyu;Zou, Jun
• 通讯作者: Zou, Jun