PFI-TT: High-Throughput Plant Genetics Platform

PFI-TT：高通量植物遗传学平台

• 批准号: 2016564
• 负责人: Elliot Hui
• 金额: $ 25万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016564&HistoricalAwards=false
• 关键词: PFI; TT; Throughput; Plant; Genetics

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is in improving the breeding of agricultural crops. Measuring the inheritance of genetic variations is a critical component of modern plant breeding. Companies individually perform hundreds of thousands of genetic measurements each day during peak season as they work to breed the most productive, most resilient, and most appetizing crops. The proposed technology is expected to facilitate the performance of very large numbers of parallel, low cost of plant genetics measurements. This strategy will allow highly information-rich breeding strategies to be broadly employed in a way that has not previously been possible due to the higher cost and slower processing of current approaches. The proposed system is anticipated to have applications in both agriculture and healthcare.The proposed project will leverage a technology recently invented at the NSF IUCRC Center for Advanced Design and Manufacturing of Integrated Microfluidics (CADMIM, NSF Award IIP-1841509) that enables the formulation of large arrays of genetic measurements through the use of detailed networks of miniaturized plumbing. This PFI team has previously demonstrated that the proposed system is capable of performing the distribution and mixing operations required to prepare the targeted genetic measurement reactions. However, the reactions themselves have yet to be demonstrated. This PFI project will transition the technology to a new material platform that will be faster to manufacture and more conducive to performing the required biochemical reactions. The error rate of the genetic measurements will also be characterized, and the manufacturing processes will be tuned to improve accuracy. Finally, the number of genetic measurements per device will be scaled up, with a target of performing about 6000 measurements simultaneously on each device. The expected technical endpoint of this project will be a fully functional prototype ready for testing by different companies in the plant agriculture industry.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.

这种伙伴关系对创新 - 技术翻译（PFI -TT）项目的更广泛的影响/商业潜力在于改善农作物的繁殖。测量遗传变异的遗传是现代植物育种的关键组成部分。 公司每天在高峰季节中单独执行数十万个遗传测量，以繁殖最有生产力，最有弹性和最开胃的农作物。该提出的技术有望促进大量平行，低成本的植物遗传学测量的性能。 该策略将允许高度信息丰富的繁殖策略以以前无法实现的方式广泛地使用，这是由于当前方法的成本较高和较慢的处理。预计所提出的系统将在农业和医疗保健中都有应用。拟议的项目将利用NSF IUCRC IUCRC高级设计与制造中心发明的技术（CADMIM，NSF，NSF奖IIP-1841509），可通过详细范围的细分网络进行大量测量网络的大型测量阵列，以实现大量的测量。该PFI团队先前已经证明，所提出的系统能够执行准备靶向遗传测量反应所需的分布和混合操作。但是，反应本身尚未得到证明。该PFI项目将把技术转换为一个新的材料平台，该平台将更快地制造，并且更有利于执行所需的生化反应。还将表征遗传测量的错误率，并将调整制造过程以提高准确性。最后，将规模每个设备的遗传测量数量，目标是在每个设备上同时执行约6000次测量。该项目的预期技术终点将是一个功能齐全的原型，可以在工厂农业行业中的不同公司进行测试。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和更广泛影响的评估审查标准来通过评估来获得支持的。