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Towards the Breeding of Climate Smart Crops - understanding plant acclimation to the environment

培育气候智能型作物 - 了解植物对环境的适应

基本信息

批准号：
1791932
负责人：
金额：
--
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1791932
关键词：
Towards Breeding Climate Smart Crops

项目摘要

If we are to feed the growing world population, then we need to breed crops that grow better. In particular, it has been shown that photosynthesis, the process at the base of all plant growth, could be made more efficient in crop plants. The aim of this project is to examine how photosynthesis is limited under different growth conditions, to identify potential bottlenecks in metabolism. Previously, we have shown that plants are able to optimise their growth for particular conditions, a process called acclimation. Mutants which are unable to acclimate have reduced yield under natural conditions. In this project you will use a combination plant physiology, systems biology and modelling to investigate how plants are able to acclimate to a range of light and temperature conditions. The impact of changing growth conditions on the proteome and metabolome will be examined using mass spectrometry. The impact of this on plant performance will be examined using plant physiology techniques. To understand how metabolism responds to different conditions, you will apply metabolic modelling. In this way, you will identify possible bottlenecks in metabolism which can be tested using genetic modification. This project would suit someone with a background in plant sciences or biochemistry willing to learn computational approaches and who is committed to addressing key challenges for society using the latest analytical approaches available.

如果我们要养活不断增长的世界人口，那么我们就需要培育长势更好的作物。特别是，已经证明光合作用--所有植物生长的基础过程--可以在农作物中变得更有效率。这个项目的目的是研究光合作用在不同生长条件下是如何受到限制的，以确定新陈代谢中的潜在瓶颈。此前，我们已经证明了植物能够在特定条件下优化生长，这一过程被称为驯化。在自然条件下，不能适应的突变体产量会降低。在这个项目中，你将使用植物生理学、系统生物学和建模相结合的方法来研究植物如何能够适应一系列的光和温度条件。变化的生长条件对蛋白质组和代谢组的影响将用质谱学来检测。这对植物性能的影响将用植物生理学技术来检验。为了了解新陈代谢如何响应不同的条件，您将应用新陈代谢模型。通过这种方式，您将确定新陈代谢中可能存在的瓶颈，这些瓶颈可以使用基因改造进行测试。这个项目将适合具有植物科学或生物化学背景、愿意学习计算方法并致力于使用最新的分析方法解决社会关键挑战的人。