Cereal Drought Stress Response and Resistance Networks

谷物干旱胁迫反应和抵抗网络

• 批准号: 1156122
• 负责人: Andy Pereira
• 金额: $ 161.17万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-13 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1156122&HistoricalAwards=false
• 关键词: Cereal; Drought; Stress; Response; Resistance

PI: Andy Pereira (University of Arkansas) Co-PIs: Ruth Grene and Oswald Crasta (Virginia Polytechnic and State University), Yinong Yang (Pennsylvania State University), Niranjan Baisakh (Louisiana State University Agricultural Center)Collaborators: Guy Davenport and Jianbing Yan (CIMMYT, Mexico), Hei Leung (IRRI, Philippines)Water scarcity causing drought during essential periods of plant growth can limit stable crop production. Cereal crops such as maize, wheat, rice and barley are most affected by drought during the time of flowering and initiation of grain formation, causing drastic yield losses. The goal of this project is to develop a systems biology view of drought responses in cereals to understand this complex process and improve drought resistance and water use efficiency. Genome-wide comparative transcriptome analysis of drought responses in rice and maize will be integrated into a cereal drought gene interaction network, using ortholog information to predict conserved functional relationships as a basis for cereals. Conserved orthologous regulatory genes between rice and maize involved in drought responses and resistance will be identified comprising transcription factors (TFs), protein kinases and phosphatases, genes in hormone signaling pathways, chromatin binding proteins, protein degradation and small RNA pathways. As proof of principle, a set of these putative conserved rice and maize genes will be tested by genetic analysis of mutants and natural allelic variants, assessing them for altered drought response phenotypes and perturbation in the drought gene interaction network. These analyses will validate and improve the cereal gene interaction network predictions, and provide candidate genes for improvement of drought resistance/tolerance in cereals. With respect to broader impacts, this project will contribute through the generation of information key to the development of stable food production systems worldwide and through the creation of a transdisciplinary educational environment. Scientifically, the project will demonstrate the use of an integrated network approach to understand complex plant responses such as drought response and resistance. Outreach and training activities are integrated within the transdisciplinary plant-lab-bioinformatics project and will be made accessible to high school and underrepresented undergraduate students from institutions across Virginia and North Carolina through established programs at Virginia Tech and other nearby universities. An outreach program developed as part of a NSF-Cyberinfrastructure Training, Education, Advancement, and Mentoring for Our 21st Century Workforce (CI-TEAM) project will provide modules for quantitative data analysis for teachers and students using socio-environmental case studies from research data. An integrated mentor program for postdoctoral researchers will be used to facilitate career development. International research collaborations with the Generation Challenge Program and CGIAR institutes involved in drought research will add capacity building to agricultural systems worldwide. Plant genotypes and all data developed in the project will be made available through a project website (http://cereal-drought.vbi.vt.edu/) that will allow interactive access to data and networks. Other publicly available genetic stocks used will be distributed by the respective originators with long term public repositories. Microarray and EST data will be deposited at GEO and NCBI, respectively. All functional genomics data generated will be periodically deposited in Gramene and other public databases.

主要研究者：Andy佩雷拉（阿肯色州大学）共同项目研究员：Ruth Grene和Oswald Crasta（弗吉尼亚理工大学和州立大学），Yinong Yang（宾夕法尼亚州立大学），Niranjan Baisakh（路易斯安那州立大学农业中心）合作者：Guy Davenport和Jianbing Yan（CIMMYT，墨西哥），Hei Leung（IRRI，菲律宾）在植物生长的关键时期，缺水导致干旱，可能限制作物的稳定产量。玉米、小麦、水稻和大麦等谷类作物在开花和籽粒形成初期受干旱影响最大，造成产量大幅度损失。该项目的目标是从系统生物学的角度研究谷物的干旱反应，以了解这一复杂的过程，提高抗旱性和水分利用效率。水稻和玉米干旱反应的全基因组比较转录组分析将被纳入谷物干旱基因相互作用网络，利用直系同源信息预测保守的功能关系，作为谷物的基础。水稻和玉米中存在的与干旱反应和抗旱性相关的同源基因包括转录因子、蛋白激酶和磷酸酶、激素信号通路基因、染色质结合蛋白、蛋白降解和小RNA通路基因。作为原则的证明，一组这些假定的保守的水稻和玉米基因将通过突变体和天然等位基因变体的遗传分析进行测试，评估它们的干旱反应表型改变和干旱基因相互作用网络的扰动。这些分析将验证和改进谷物基因互作网络预测，并为提高谷物的抗旱性/耐受性提供候选基因。在更广泛的影响方面，该项目将通过产生对发展全世界稳定的粮食生产系统至关重要的信息，并通过创造跨学科的教育环境，作出贡献。从科学角度来看，该项目将展示如何使用综合网络方法来了解复杂的植物反应，例如干旱反应和抗性。外展和培训活动被整合到跨学科的植物实验室生物信息学项目中，并将通过弗吉尼亚理工大学和附近其他大学的既定计划，向弗吉尼亚州和北卡罗来纳州各机构的高中生和代表性不足的本科生开放。作为NSF网络基础设施培训，教育，发展和指导我们的21世纪世纪劳动力（CI-TEAM）项目的一部分开发的推广计划将提供模块，为教师和学生使用研究数据的社会环境案例研究进行定量数据分析。博士后研究人员的综合导师计划将用于促进职业发展。与参与干旱研究的Generation Challenge Program和CGIAR研究所的国际研究合作将增加全世界农业系统的能力建设。 植物基因型和项目中开发的所有数据将通过一个项目网站（http：//cereal-drought.vbi.vt.edu/）提供，该网站将允许交互式访问数据和网络。所使用的其他公开可用的遗传资源将由各自的发起人通过长期公共储存库分发。微阵列和EST数据将分别存放在GEO和NCBI。 生成的所有功能基因组学数据将定期存入Gramene和其他公共数据库。