Advancing our understanding of autonomous leaf-specific iron deficiency responses.

增进我们对自主叶片特异性缺铁反应的理解。

基本信息

批准号：
2224839
负责人：
David Mendoza-Cozatl
金额：
$ 125.57万
依托单位：
University of Missouri-Columbia
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-01 至 2025-07-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224839&HistoricalAwards=false
关键词：
Advancing our understanding autonomous leaf

项目摘要

Iron is an essential nutrient for all organisms and plants serve as the main dietary source of iron for humans and livestock. Iron deficiency, or anemia, affects nearly 30% of the world’s population (~2 billion people). Thus, understanding the mechanisms that plants use to regulate Fe uptake and accumulation in edible tissues, such as leaves and seeds, will support the development of biofortified crops for improved nutritional value. Iron is also extremely reactive and therefore plants need to sense their internal levels to determine the demand for iron and adjust uptake to prevent a potentially toxic iron overload situation. Over the last decade, there have been significant advances in the molecular mechanisms that regulate iron uptake at the root level. Iron sensing, however, remains an active area of research with several hypotheses that need to be tested experimentally. This project will test a recently proposed model where leaves integrate the iron status of the entire plant and communicate such information to roots to properly regulate iron uptake and allocation within the plant. Training aspects focus on the Bioinformatics in Plant Sciences (BIPS) program developed by the principal investigator that pairs undergraduate students in computer science and engineering with plant biology students to undertake interdisciplinary research projects of interest to both.Recent spatiotemporal gene expression analyses revealed that leaves respond faster to iron deficiency than roots. Moreover, under certain conditions, leaves and roots display opposite iron-related transcriptional programs suggesting that leaves have autonomous mechanisms to sense iron. This project will integrate leaf-specific time-series gene expression analyses together with targeted high-throughput DNA-protein and protein-protein interaction screens to identify transcriptional complexes necessary to regulate iron homoeostasis in leaves. In addition, tissue-specific gene editing approaches will be used to assess whether chloroplast-to-nucleus communication is essential for proper iron sensing in leaves, particularly in mature photosynthetic leaves. Experiments will be complemented with modeling approaches to explore the predictive power of constraint-based simulations when the stability of protein-DNA and protein-protein interactions, determined experimentally, are sequentially incorporated into kinetic models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

铁是所有生物的必不可少的营养素，植物是人类和牲畜铁的主要饮食来源。铁缺乏症或贫血影响世界近30％的人口（约20亿人）。这是理解植物用于调节Fe摄取和在诸如叶子和种子等食用时机积累的机制，将支持生物化作物的发展，以改善营养价值。铁也具有极高的反应性，因此植物需要感知其内部水平，以确定铁的需求并调整摄取，以防止潜在的有毒铁超载情况。在过去的十年中，分子机制在调节根部水平上的摄取方面取得了重大进展。但是，铁敏感性仍然是研究的积极研究领域，并需要在实验中测试几种假设。该项目将测试一个最近提出的模型，其中使整个工厂的铁状态整合在一起，并将此类信息传达给根，以正确调节工厂内的铁吸收和分配。培训方面的重点是由主要研究者开发的植物科学（BIPS）计划（BIPS）计划，该计划与植物生物学学生配对计算机科学和工程学的本科生，可以对两者进行感兴趣的跨学科研究项目。当时的时空基因表达分析表明，对铁的缺乏效应了，对铁的缺乏效应。此外，在某些条件下，叶子和根显示与铁相关的转录程序，表明叶子具有自主机制可以感知铁。该项目将与靶向的高通量DNA-蛋白和蛋白质 - 蛋白质相互作用筛选一起整合叶片特异性的时间序列基因表达分析，以鉴定调节叶片中铁同骨所需的转录复合物。此外，组织特异性基因编辑方法将用于评估叶绿体到核核的通信是否对于叶片的适当铁敏感性至关重要，尤其是在成熟的光合叶片中。当蛋白-DNA和蛋白质 - 蛋白质相互作用的稳定性（在实验上确定）被依次纳入动力学模型时，将通过建模方法来完成实验，以探索基于约束的模拟的预测能力。该奖项反映了NSF的法规任务，并认为通过基金会的知识优点和广泛的critia crietia cripitia cripitia cremitia cremitia cremitia cripteria cripitia criperia cripitia cripitia cripitia cripitia cripitia rection recectia cripitia receptia rection receptia reportia this奖。