PFI:BIC An Innovation Partnership to Advance a High-throughput Plant Phenotype Screening Platform

PFI:BIC 建立创新合作伙伴关系，推进高通量植物表型筛选平台

• 批准号: 1237720
• 负责人: Basil Nikolau
• 金额: $ 59.71万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1237720&HistoricalAwards=false
• 关键词: PFI; BIC; Innovation; Partnership; Advance

This Partnerships for Innovation project from Iowa State University (ISU) will accelerate fundamental understanding in plant science and breeding with a screening platform that significantly reduces the time and costs for selecting and developing new elite plant varieties. The immediate goal is to build upon and re-engineer a promising near infrared (NIR)-based seed-screening platform to increase its performance and accuracy and broaden its applications. The envisioned platform is based on two complementary components: a) NIR molecular spectroscopy and chemometrics integrated with automated, nondestructive high-throughput screening of seeds and other plant materials, and b) customized development of application methodologies that screen extant plant populations based on biochemical phenotypes. This project seeks to meet the challenge presented by the success of high-throughput DNA sequencing and analysis of plant genomes, by establishing analogous high-throughput technologies to analyze a plant's biochemical phenotype. This capability will enhance the ability of plant scientists and plant breeders to utilize genomics and develop improved new cultivars needed to accommodate the global population explosion anticipated in the 21st century. The proposed phenotype-screening platform will have a significant impact on food, feed, and bio-energy production systems because, for the first time, plant scientists and breeders will have access to a unique research tool that will routinely assess, at low cost, multiple plant traits simultaneously and non-destructively based upon biochemical phenotypes. The broader impacts of this research are societal, economic, and learning related. At the societal level, plants have a remarkable, multi-faceted impact on economies, jobs, health, fuel, climate change/carbon sequestration, food security, world peace, the environment, and our overall well being. Better understanding of plant biology, improving existing varieties, and developing new ones are all key research areas where biochemical phenotype screening will produce invaluable data for achieving sustainable and nurturing ecosystems for a rapidly changing planet. At the economic level, these improvements will greatly enhance the versatility of the screening platform, expand the user base, and make lower cost screening accessible to more public and commercial plant scientists and breeders. At the learning level, the KEP participants will learn from each other. The project will be a vehicle for Iowa State University faculty and students and small businesses to understand how each other's abilities can be integrated to enable technological solutions to real world-challenges.Partners at the inception of the project are Brownseed Genetics (Bay City, WI), Genetic Enterprises International (Johnston, IA), Kemin Industries (Des Moines, IA), MTEC BioAnalytics (Ames, IA), Schillinger Genetics (West Des Moines, IA), and Sustainable Oils (Bozeman, MT). Five ISU researchers and these six small businesses will collaborate in a Knowledge Enhancing Partnership (KEP). MTEC BioAnalytics will bring NIR seed screening technology expertise to the project while the other companies have expertise in seed and other plant based products. MTEC BioAnalytics will provide key highthroughput screening platform components (e.g., ultra fast fiber optic switch), engineering design, and the others will provide the use of proprietary and unique collections of characterized seeds that express variation in desirable biochemical phenotypes.

这个来自爱荷华州州立大学（ISU）的创新合作项目将通过一个筛选平台来加速对植物科学和育种的基本理解，该平台可显著减少选择和开发新的优良植物品种的时间和成本。近期目标是建立和重新设计一个有前途的近红外（NIR）种子筛选平台，以提高其性能和准确性，并扩大其应用。设想的平台是基于两个互补的组成部分：a）近红外分子光谱和化学计量学集成自动化，无损高通量筛选种子和其他植物材料，和B）定制开发的应用方法，筛选现存的植物种群的生化表型的基础上。该项目旨在通过建立类似的高通量技术来分析植物的生化表型，以应对高通量DNA测序和植物基因组分析成功所带来的挑战。这种能力将提高植物科学家和植物育种家利用基因组学和开发适应预计在21世纪出现的全球人口爆炸所需的改良新品种的能力。拟议的表型筛选平台将对食品、饲料和生物能源生产系统产生重大影响，因为植物科学家和育种家将首次获得一种独特的研究工具，该工具将以低成本、基于生物化学表型同时非破坏性地对多种植物性状进行常规评估。这项研究的更广泛的影响是社会，经济和学习相关的。 在社会层面上，植物对经济、就业、健康、燃料、气候变化/碳封存、粮食安全、世界和平、环境和我们的整体福祉有着显著的多方面影响。 更好地了解植物生物学，改进现有品种和开发新品种都是关键的研究领域，生化表型筛选将为快速变化的地球实现可持续发展和培育生态系统提供宝贵的数据。在经济层面上，这些改进将大大提高筛选平台的多功能性，扩大用户群，并使更多的公共和商业植物科学家和育种家能够获得更低成本的筛选。 在学习层面，KEP参与者将相互学习。该项目将成为爱荷华州州立大学师生和小企业了解如何整合彼此能力的工具，以实现技术解决方案，以应对真实的世界挑战。（Bay City，WI），Genetic Enterprises International（约翰斯顿，IA）、Kemin Industries（Des Moines，IA）、MTEC BioAnalytics（艾姆斯，IA）、Schillinger Genetics（西得梅因，IA）和Sustainable Oils（Bozeman，MT）。五个ISU研究人员和这六个小企业将在知识增强伙伴关系（KEP）合作。MTEC BioAnalytics将为该项目带来近红外种子筛选技术专业知识，而其他公司则拥有种子和其他植物产品的专业知识。MTEC BioAnalytics将提供关键的高通量筛选平台组件（例如，超快光纤开关）、工程设计等将提供专有和独特的表征种子集合的使用，所述表征种子表达期望的生化表型的变化。