Joint NSF/ERA-CAPS: Collaborative Research: BEAN-ADAPT - Genetic Architecture of Rapid Evolutionary Adaptation to Changing Environments in Domesticated Phaseolus Bean Species

NSF/ERA-CAPS 联合：合作研究：BEAN-ADAPT - 驯化菜豆物种快速进化适应不断变化的环境的遗传结构

• 批准号: 1539838
• 负责人: Scott Jackson
• 金额: $ 74.29万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-15 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1539838&HistoricalAwards=false
• 关键词: Joint; NSF; ERA; CAPS; Collaborative

PIs: Paul L. Gepts (University of California-Davis) and Scott A. Jackson (University of Georgia)ERA-CAPS Collaborators: Roberto Papa (Universita Politecnica delle Marche, Italy), Alisdair R. Fernie (Max-Planck-Institute of Molecular Plant Physiology, Germany), and Andreas Graner (Leibniz Institute of Plant Genetics and Crop Plant Research, Germany)Worldwide, legumes serve an important nutritional role as a source of protein, minerals, vitamins, and dietary fibers, and their ability to fix nitrogen (i.e. convert nitrogen in the atmosphere into a form that can be used by the plant) makes legumes natural contributors to sustainable agriculture. As domesticated crops, legumes have adapted to growth in many different environments, but the genetic basis for such adaptation is largely unknown. This project will take advantage of large gene bank collections of two legume species, common bean and runner bean, to discover the genes responsible for adaptation to new, changing, and variable environments. The results will allow better use of the genetic resources represented by these gene banks for improvement of legume crops. The project will include collaborators in the U.S., Colombia, Italy and Germany. Exchanges of students among the participating research groups will offer opportunities to learn new techniques and integrate information across the coordinating research efforts. In addition, outreach to undergraduates from the Southwest U.S. will provide exposure to hands-on research experiences in plant genomics. In this project, multi-location, multi-year field evaluations of large gene bank collections will be combined with high-throughput genomic tools to understand the genetic basis of adaptation in the legumes common bean (Phaseolus vulgaris) and runner bean (P. coccineus). Approximately 10,000 common bean and 1,000 runner bean accessions will be genotyped using a DNA sequencing approach and tested in contrasting environments and conditions in Europe (higher latitude) and South America (near the Equator) to associate genes with adaptation to environmental variables, such as day length, temperature, altitude, and rainfall. The two Phaseolus species have contrasting life histories, reproductive systems, and population structures, providing an opportunity to compare different adaptation paths. Sequence information will be complemented with transcriptomic and metabolomics profiling on a select subset of accessions to produce datasets that will be used to build models of how common bean adapted to new environments after its dispersal from two domestication centers in Mesoamerica and the Southern Andes. Prospectively, this information will be useful for developing new crop varieties adapted to changing or variable environments.

PIs: Paul L. Gepts (University of California-Davis) and Scott A. Jackson (University of Georgia)ERA-CAPS Collaborators: Roberto Papa (Universita Politecnica delle Marche, Italy), Alisdair R. Fernie (Max-Planck-Institute of Molecular Plant Physiology, Germany), and Andreas Graner (Leibniz Institute of Plant Genetics and Crop Plant Research,在全球范围内，豆科植物作为蛋白质，矿物质，维生素和饮食纤维的来源及其固定氮的能力（即将氮中的氮转化为植物可以使用的形式）使豆类自然贡献者自然贡献可持续的农业。作为驯化的作物，豆类已经适应了许多不同环境的生长，但是这种适应的遗传基础在很大程度上是未知的。该项目将利用大量基因库集合的两种豆类物种，即普通豆和跑步者豆，以发现负责适应新，变化和可变环境的基因。结果将允许更好地利用这些基因库代表的遗传资源来改善豆科农作物。该项目将包括美国，哥伦比亚，意大利和德国的合作者。 参与研究小组之间的学生交流将提供学习新技术并在整个研究工作中整合信息的机会。此外，美国西南部对本科生的宣传将为植物基因组学方面的动手研究经验提供接触。在这个项目中，将对大基因库集合的多年多年现场评估将与高通量基因组工具相结合，以了解豆类常见豆（Phassolus vulgaris）和Runner Bean（P. coccineus）中适应的遗传基础。 将使用DNA测序方法对大约10,000个常见的豆类和1,000个跑步者豆饰进行基因分型，并在欧洲（较高的纬度）和南美（赤道附近）的对比环境和条件中进行测试，以使基因适应环境变量，例如日期，温度，高度，高度和降雨。这两个阶段物种具有对比的生活史，生殖系统和人口结构，提供了比较不同适应道路的机会。序列信息将在选项的一部分子集上与转录组和代谢组学分析相辅相成，以产生数据集，这些数据集将用于构建在中众和南部安第斯山脉和南部安第斯山脉的两个驯化中心分散之后，将其用于新环境的模型。 前瞻性地，此信息对于开发适合变化或可变环境的新作物品种将很有用。