IDBR: TYPE A: High-Throughput, Large-Scale Plant Phenotyping Platform

IDBR：A 型：高通量、大规模植物表型分析平台

• 批准号: 1353819
• 负责人: Liang Dong
• 金额: $ 69.76万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1353819&HistoricalAwards=false
• 关键词: IDBR; TYPE; Throughput; Large; Scale

An award is made to Iowa State University to develop a high-throughput, large-scale plant phenotyping instrumentation for knowledge discovery in plant phenomics area. Characterization of the complete plant phenome has posed a difficult challenge due to the large number of genes in the genomes, and changeable environmental conditions that influence plant phenotypes. Analyzing plant phenotypes on a large and multi-scale level with sufficient throughput and resolution has thus been difficult and expensive. This project will lead to the development of microsystem technology based plant phenotyping instrumentation, and therefore will constitute a transformative leap in throughput and information content over existing phenotype assays. The core of the instrumentation is an integrated plant growth system consisting of an array of miniature greenhouses, microfluidic plant chips, and microfluidic control logic. The plant growth system can provide maximal environmental flexibility in large- and multi-scale study of plant-environment interactions. The miniature greenhouses will flexibly regulate relative humidity, carbon dioxide level, and light intensity. The microfluidic plant chips will be designed to be sliding chip-like disposable components for use inside the greenhouses. Each plant chip will not only allow a number of plants to simultaneously grow for a desired period of time, but be able to automatically trap individual seeds, change growth temperature, regulate chemical concentration, and introduce biological species to the plant growth regions. A programmable imaging system will be designed to collect images of plant seeds, roots, shoots, and cells. To quantify morphological traits and determine phenotypic differences in a high throughput manner, an automated algorithm will be developed to extract and analyze images acquired during plant growth and development. Arabidopsis thaliana will be used as a model plant for biological verification of the instrumentation. The project will contribute to systematic analysis of plant phenotypes with a wide range of applications in gene identification, functional genomics, and genotype-to-phenotype correlations. Large and multi-scale phenotyping of plants, in concert with changeable growth environmental influences, has broad implications in applied and basic plant biology. The proposed instrumentation will make breakthrough toward solving grand challenging large-scale problems in the field of phenomics, will build resources to benefit plant biology researchers, and will create a paradigm shift in the plant phenomics area by placing powerful data analysis capability in the hands of researchers. The education plans include providing an interdisciplinary opportunity to three doctoral students and four undergraduate students including two female and minority students, creating a one-credit seminar course for the Undergraduate Bioengineering Minor Program, and adding a new lab to existing undergraduate and graduate courses at Iowa State. The dissemination plan includes providing phenotying services to plant biologists at Iowa State and beyond through extensive collaborations, organizing Plant Phenomics workshop, partnering with national laboratories to disseminate phenotying services, and commercializing the instrumentation through the small business innovation research or small business technology transfer mechanism.

爱荷华州立大学获得奖励，开发高通量、大规模植物表型分析仪器，用于植物表型组学领域的知识发现。由于基因组中存在大量基因，并且影响植物表型的环境条件多变，因此完整植物表型的表征提出了艰巨的挑战。因此，以足够的通量和分辨率在大规模和多尺度水平上分析植物表型是困难且昂贵的。该项目将促进基于微系统技术的植物表型分析仪器的开发，因此将在通量和信息内容方面较现有表型分析实现革命性飞跃。该仪器的核心是一个集成的植物生长系统，由一系列微型温室、微流控植物芯片和微流控逻辑组成。植物生长系统可以在植物与环境相互作用的大规模和多尺度研究中提供最大的环境灵活性。微型温室将灵活调节相对湿度、二氧化碳水平和光照强度。微流体植物芯片将被设计为滑动芯片状一次性组件，供温室内使用。每个植物芯片不仅允许许多植物同时生长所需的时间，而且能够自动捕获单个种子，改变生长温度，调节化学浓度，并将生物物种引入植物生长区域。将设计一个可编程成像系统来收集植物种子、根、芽和细胞的图像。为了以高通量方式量化形态特征并确定表型差异，将开发一种自动化算法来提取和分析植物生长和发育过程中获得的图像。拟南芥将用作仪器生物学验证的模型植物。该项目将有助于植物表型的系统分析，在基因鉴定、功能基因组学和基因型与表型相关性方面具有广泛的应用。植物的大规模和多尺度表型分析，与变化的生长环境影响相结合，在应用和基础植物生物学中具有广泛的影响。所提出的仪器将在解决表型组学领域具有挑战性的大规模问题方面取得突破，将为植物生物学研究人员建立资源，使植物生物学研究人员受益，并将通过将强大的数据分析能力交给研究人员来创造植物表型组学领域的范式转变。教育计划包括为三名博士生和四名本科生（包括两名女性和少数族裔学生）提供跨学科机会，为本科生生物工程辅修课程创建一学分的研讨会课程，以及在爱荷华州立大学现有的本科生和研究生课程中增加一个新实验室。传播计划包括通过广泛合作，为爱荷华州及其他地区的植物生物学家提供表型服务，组织植物表型组学研讨会，与国家实验室合作传播表型服务，并通过小企业创新研究或小企业技术转让机制将仪器商业化。