Physiological and Genetic Mechanisms Underlying Salt Tolerance in Rice Across Developmental Stages

水稻各发育阶段耐盐性的生理和遗传机制

基本信息

  • 批准号:
    1238125
  • 负责人:
  • 金额:
    $ 203.55万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-03-01 至 2018-02-28
  • 项目状态:
    已结题

项目摘要

PI: Harkamal Walia (University of Nebraska)CoPIs: Dong Wang, Aaron Lorenz, Ashok Samal(University of Nebraska), Argelia Lorence (Arkansas State University)Collaborators: Mark Tester (Australian Centre for Plant Functional Genomics), Abdelbagi Ismail (International Rice Research Institute, The Philippines), Susan McCouch (Cornell University)Salinity is one of the major environmental limitations for irrigated agriculture with yield losses estimated to exceed $12 billion dollars annually. Only 17% of agriculture is under irrigation, yet it provides a third of the global food supply. Rice is arguably the most important crop for global food security, but is also the most salt-sensitive among staple cereals. The extent of genetic variation for salt tolerance in rice is largely unknown and under-utilized. This project aims to fill this knowledge gap by utilizing newly developed genomic resources in combination with recent advances in high-throughput image-based phenotyping to elucidate the underlying genetic basis of adaptive responses to salinity stress. This project will provide genome-level information that will link genes and pathways associated with physiological responses associated with salinity tolerance in rice. Knowledge derived from this work will ultimately inform breeders as to which alleles present in the vast genetic diversity of germplasm banks can be introduced into elite cultivars for salt tolerance. This comprehensive study of physiological impact of salt stress in rice will be broadly useful for other cereals such as wheat and maize. Both the biological knowledge and the methodologies used and refined during the course of data analysis will be valuable for large-scale biology projects that have significant phenomics and genomics components.Sequence data will be deposited at the NCBI and Gramene. Phenotypic, sequence, and GWAS data will be available via the project website. Image analysis software and scripts will be available upon request. Investigators will develop multidisciplinary active learning modules for undergraduate students in Plant Physiology and Image Analysis courses at the University of Nebraska and at summer workshops for graduate students and predominantly minority undergraduates at Arkansas State University. Development of instructional material based on the research in this project will be broadly useful in both traditional and online learning environments. Six students and postdoctoral scientists will be trained in multidisciplinary research at the intersection of plant physiology, quantitative genetics, bioinformatics and image informatics. Training students in phenomics will fill a void as high-throughput phenotyping is increasingly deployed in industry but not yet available at most public institutions for research and training.
合作者:Mark Tester(澳大利亚植物功能基因组学中心),Abdelbagi Ismail(国际水稻研究所,菲律宾),Susan McCouch(康奈尔大学)盐度是灌溉农业的主要环境限制之一,每年的产量损失估计超过120亿美元。只有17%的农业在灌溉,但它提供了全球三分之一的粮食供应。大米可以说是对全球粮食安全最重要的作物,但也是主食谷物中对盐最敏感的。水稻耐盐性的遗传变异程度在很大程度上是未知的,而且没有得到充分利用。该项目旨在通过利用新开发的基因组资源并结合高通量图像表型鉴定的最新进展来填补这一知识空白,以阐明对盐分胁迫的适应性反应的潜在遗传基础。该项目将提供基因组水平的信息,将与水稻耐盐性相关的生理反应相关的基因和途径联系起来。从这项工作中获得的知识将最终告知育种者,在巨大的种质库遗传多样性中,哪些等位基因可以被引入优良品种的耐盐性。这项关于盐胁迫对水稻生理影响的综合研究将广泛适用于其他谷物,如小麦和玉米。无论是生物学知识,还是在数据分析过程中使用和改进的方法,都将对具有重要表现学和基因组学成分的大型生物学项目具有价值。序列数据将保存在NCBI和Gramene。表型、序列和GWAS数据将通过项目网站提供。图像分析软件和脚本将根据要求提供。调查人员将为内布拉斯加大学植物生理学和图像分析课程的本科生开发多学科主动学习模块,并在阿肯色州立大学为研究生和以少数族裔为主的本科生举办暑期研讨会。在本项目研究的基础上开发的教学材料将在传统和在线学习环境中广泛使用。六名学生和博士后科学家将接受植物生理学、数量遗传学、生物信息学和图像信息学交叉领域的多学科研究培训。对学生进行表型组学培训将填补一个空白,因为高通量表型分析越来越多地应用于工业,但大多数公共机构尚未提供用于研究和培训的。

项目成果

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Harkamal Walia其他文献

Transcriptome enhanced rice grain metabolic model identifies histidine level as a marker for grain chalkiness
转录组增强水稻籽粒代谢模型确定组氨酸水平为籽粒垩白度的标记
  • DOI:
    10.1038/s41598-025-00504-6
  • 发表时间:
    2025-05-12
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Niaz Bahar Chowdhury;Anil Kumar Nalini Chandran;Harkamal Walia;Rajib Saha
  • 通讯作者:
    Rajib Saha

Harkamal Walia的其他文献

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{{ truncateString('Harkamal Walia', 18)}}的其他基金

RII Track-2 FEC: Comparative Genomics and Phenomics Approach to Discover Genes Underlying Heat Stress Resilience in Cereals
RII Track-2 FEC:通过比较基因组学和表型组学方法来发现谷物中热应激恢复能力的基因
  • 批准号:
    1736192
  • 财政年份:
    2017
  • 资助金额:
    $ 203.55万
  • 项目类别:
    Cooperative Agreement
ABI Innovation: A computational framework for integrating image informatics with transcriptomics for discovering spatiotemporally resolved regulatory gene networks in plants
ABI Innovation:将图像信息学与转录组学相结合的计算框架,用于发现植物中时空解析的调控基因网络
  • 批准号:
    1564621
  • 财政年份:
    2016
  • 资助金额:
    $ 203.55万
  • 项目类别:
    Standard Grant
Early Seed Development Under Stressful Environments
应激环境下的早期种子发育
  • 批准号:
    1121648
  • 财政年份:
    2011
  • 资助金额:
    $ 203.55万
  • 项目类别:
    Standard Grant

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