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NSF NPGI Postdoctoral Fellowship in Biology FY 2016

NSF NPGI Postdoctoral Fellowship in Biology FY 2016
2016 财年 NSF NPGI 生物学博士后奖学金
批准号:
1612262
负责人:
Alice MacQueen
金额:
$21.6万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2019-06-30

项目摘要

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中文摘要
翻译
该行动资助了2016财年NSF国家植物基因组计划生物学博士后研究奖学金。该研究金支持一项研究和培训计划,并提出了一项扩大生物学参与的计划。Alice MacQueen博士的研究和培训计划的标题是“菜豆产量变异的基因组学和基因型与环境相互作用的生理学”。“该研究金的主办机构是得克萨斯大学奥斯汀分校,赞助科学家是Tom Juenger博士。菜豆(Phaseolus vulgaris)是全世界消费量最大的植物蛋白质来源,在发展中国家是特别重要的蛋白质来源。一个迫切重要的问题是,重要的作物性状,如蛋白质或产量,如何受到基因与环境相互作用的影响,所谓的GXE相互作用。普通菜豆被驯化以在各种环境中生长,因此是探索GXE相互作用如何决定作物性状的极好候选者。一个广泛的数据集,超过500个常见的豆类品种生长在36个地点在美国超过34年的联系在不同环境中的豆类性状。该研究项目利用这些历史数据集,并将记录菜豆的遗传变异,从而提供了一个令人兴奋的机会,将性状与其遗传驱动因素联系起来。本科生将接受尖端基因组学分析的培训,公众将通过与约翰逊野花中心(瓢虫Wildflower Center)的外联活动了解植物基因组学。该项目结合实验和计算分析,以确定GXE对普通菜豆产量变异和其他性状的相互作用。将产生新的关联映射群体,这些群体将直接连接到包含普通菜豆表型和产量数据的历史稳健数据集。产量变异的遗传学将通过全基因组关联方法来确定,包括品种之间基因组变异的区域和豆类品种之间通过局部适应固定的基因组区域。该项目将测试具有和不具有GxE的品种之间的差异表达和生理学,以应对特定的气候驱动因素。
英文摘要
This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2016. The fellowship supports a research and training plan and also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Alice MacQueen is "Genomics of yield variation and physiology of genotype-by-environment interactions in common bean." The host institution for the fellowship is the University of Texas at Austin and the sponsoring scientist is Dr. Tom Juenger.Common bean (Phaseolus vulgaris) is the most consumed source of plant protein worldwide and is a particularly important source of protein in the developing world. A question of pressing importance is how important crop traits, such as protein or yield, were influenced by interaction of genes with the environment, so called GXE interactions. Common bean was domesticated to grow in a wide variety of environments and is thus an excellent candidate to explore how crop traits are determined by GXE interactions. An extensive dataset of over 500 common bean varieties grown at 36 locations across the United States over 34 years links bean traits in different environments. This research project leverages these historical datasets and will document genetic variation in common bean, thus providing an exciting opportunity to connect the traits to their genetic drivers. Undergraduate students will be trained in cutting edge genomic analysis and the public will learn about plant genomics through outreach activities with the Lady Bird Johnson Wildflower Center.This project combines experiments and computational analyses to determine the interactions of GXE on yield variation and other traits of common bean. New association mapping populations will be produced, and these will be directly connected to historically robust datasets containing phenotype and yield data for common bean. The genetics of yield variation will be determined through genome-wide association approaches, both for regions with genomic variation between varieties and genomic regions fixed by local adaptation between bean races. The project will test for differential expression and physiology between varieties with and without GxE in response to specific climate drivers.
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