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.

这一创新-技术转化伙伴关系项目的更广泛影响/商业潜力在于改进农作物育种。测量遗传变异的遗传是现代植物育种的关键组成部分。 公司在旺季每天单独进行数十万次遗传测量，努力培育最高产、最有弹性和最开胃的作物。所提出的技术预计将促进非常大量的并行，低成本的植物遗传学测量的性能。 该策略将使信息丰富的育种策略能够以一种由于当前方法成本较高和处理速度较慢而以前不可能的方式广泛采用。该项目将利用NSF IUCRC集成微流体先进设计和制造中心（CADMIM，NSF Award IIP-1841509）最近发明的一项技术，通过使用详细的微型管道网络，可以制定大型遗传测量阵列。该PFI团队先前已经证明，拟议的系统能够执行准备目标遗传测量反应所需的分配和混合操作。然而，反应本身还有待证明。这个PFI项目将把技术转移到一个新的材料平台，该平台的制造速度更快，更有利于执行所需的生化反应。基因测量的误差率也将被表征，制造过程将被调整以提高准确性。最后，每个设备的基因测量数量将按比例增加，目标是在每个设备上同时进行约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，供植物农业行业的不同公司进行测试。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。