A genome-scale model of Arabidopsis metabolism

拟南芥代谢的基因组规模模型

• 批准号: BB/E002323/1
• 负责人: Lee Sweetlove
• 金额: $ 48.05万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FE002323%2F1
• 关键词: genome; scale; model; Arabidopsis; metabolism

The molecules that make up the cells of biological organisms do not function in isolation but do so by interacting with other molecules. Cells thus consist of a complex network of interacting molecules. Because the behaviour of an individual molecule is influenced not only by its own properties but also by those of interacting molecules, networks display emergent properties - that is the behaviour of the network as a whole cannot be simply predicted from the properties of its components in isolation. One way of getting to grips with network behaviour is to construct mathematical models that allow network parameters to be computed. This proposal aims to generate a mathematical model that will provide insight into the metabolic network of the model plant species, Arabidopsis thaliana. Metabolism is one of the best described and most studied of all biological networks and yet our understanding of the behaviour of metabolism as a whole remains rather limited. A mathematical model will not only provide new insight into fundamental aspects of control of the plant metabolic network, but it will also be a useful tool to allow predictions to be made about the best way to manipulate the flow of metabolic intermediates. Such metabolic engineering is an important part of attempts to generate new varieties of crop plants that are better equipped to deal with challenges imposed by a changing global climate and the requirements for increased yield.

构成生物生物细胞的分子不能孤立起作用，而是与其他分子相互作用。因此，细胞由复杂的相互作用分子网络组成。由于单个分子的行为不仅受其自身特性，而且受相互作用分子的特性的影响，因此网络显示出紧急的特性 - 这就是整个网络的行为，不能简单地从其组件的属性中预测。掌握网络行为的一种方法是构建允许计算网络参数的数学模型。该建议旨在生成数学模型，该模型将洞悉模型植物物种拟南芥的代谢网络。代谢是所有生物网络中描述和研究最多的一种，但是我们对整个代谢行为的理解仍然相当有限。数学模型不仅将为植物代谢网络控制的基本方面提供新的见解，而且它也将是一个有用的工具，可以允许对操纵代谢中间体流动的最佳方法进行预测。这种新陈代谢工程是试图产生新的作物植物品种的重要组成部分，这些植物可以更好地应对不断变化的全球气候和增加产量的要求所带来的挑战。