Elucidating the Genetic Control of Long-term Success in a Near Century Long Study of Barley (Hordeum vulgare)

该行动资助了2017财年NSF国家植物基因组计划生物学博士后研究奖学金。该研究金支持研究员在东道实验室的研究和培训计划，研究员还提出了扩大生物学参与的计划。该研究金的主办机构是加州大学滨江分校，赞助科学家是丹尼尔Koenig博士。大麦是世界上第四大粮食作物，对各种环境压力的适应性非常强，因此被称为沙漠边缘的作物。了解作物在不同环境中表现的遗传基础是必要的，但将基因型转化为表型的长期研究非常罕见。为了填补这一空白，遗传基础的地方适应将探讨在近世纪长的农业实验，大麦复合杂交II（CCII）。CCII始于20世纪20年代，并已被允许适应戴维斯，加利福尼亚州的当地条件超过50代。利用这一独特的资源，将采用尖端的高通量表型和基因型表征方法来阐明农业性能的遗传基础。 本研究的最终目标是预测在可变环境条件下成功的基因型。在极端气候条件下的繁荣将最大限度地减少环境因素造成的潜在粮食不安全。本项目将集中在1000个人的特点，从四个时间点在CCII实验，阐明局部选择压力的表型和基因型的影响。将以三种分辨率收集表型数据：整株植物和花序性状的单时间点测量，使用网络摄像头监测的时间生长速率测量，以及使用CT扫描的花序3D渲染。使用全基因组SNP发现和确定策略的组合，表型的适应性转变将与特定的遗传变化相关联。该项目的成果将通过多个外展计划与公众分享，增加对作物如何适应不断变化的环境的理解。

This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2017. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The host institution for the fellowship is the University of California, Riverside and the sponsoring scientist is Dr. Daniel Koenig. Barley is the world's fourth most important grain crop, and is unusually robust to a diversity of environmental stresses earning the moniker, the crop at the edge of the desert. Understanding the genetic basis of crop performance in variable environments is imperative, but long-term studies translating genotype to phenotype are exceedingly rare. To fill this gap, the genetic basis of local adaptation will be explored in a near century long agricultural experiment, the barley composite cross II (CCII). The CCII was initiated in the 1920's and has been allowed to adapt to the local conditions in Davis, CA for over 50 generations. With this unique resource, cutting edge high-throughput phenotype and genotype characterization methods will be employed to elucidate the genetic basis of agricultural performance. The ultimate goal of this study is to predict successful genotypes in variable environmental conditions. Thriving during climatic extremes will minimize potential food insecurity arising from environmental factors. This project will focus on the characterization of 1000 individuals drawn from four time points in the CCII experiment to elucidate the effect of local selective pressures on phenotype and genotype. Phenotypic data will be collected at three resolutions: single time point measurements of whole plant and inflorescence traits, temporal growth rate measurements using webcam monitoring, and inflorescence 3D renderings using CT scanning. Using a combination of genome-wide SNP discovery and ascertainment strategies, adaptive shifts in phenotype will be linked to specific genetic changes. The results of this project will be shared with the general public through multiple outreach programs, increasing the understanding of how crops adapt to changing environments.