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A Systems Biology Approach to the Elucidation of Metabolic Networks Underlying Health Based Quality Traits in Tomato Fruit.

阐明番茄果实健康品质特性背后的代谢网络的系统生物学方法。

基本信息

批准号：
BB/F005539/1
负责人：
Graham Seymour
金额：
$ 16.51万
依托单位：
University of Nottingham
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2008
资助国家：
英国
起止时间：
2008 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FF005539%2F1
关键词：
Systems Biology Approach Elucidation Metabolic

项目摘要

'We are what we eat' is a phrase that has been used for many years to describe the importance of good dietary components. Although this may not be strictly true, it has been shown that diets rich in fruits and vegetables are beneficial to human well-being and health. The beneficial effects of fruits and vegetables have been attributed to the synergistic effects of various phytochemicals present. Many of these compounds like carotenoids, vitamins E and C, as well as flavonoids and phenylpropanoids are potent antioxidants, with the ability to dissipate damaging reactive molecules produced by the body's metabolism. Tomato fruit are a major dietary source of important antioxidants such as carotenoids (especially the red-coloured lycopene of ripe fruit). The consumers demands for improved aesthetic and nutritional quality has lead to increased efforts to increase the levels of these compounds in crop plants. Recently tomato varieties have been produced that contain high levels of multiple antioxidants. These varieties were produced by manipulating the plants ability to perceive light, in this instance GM technology was used. Although this technology is not acceptable presently to the consumer the plants do provide a valuable research tool to study the underlying events leading to nutritional enhancement in crop plants such as tomato. In the present proposal we aim to use modern techniques to determine the chemical composition and genes expressed in these tomato varieties as their fruit develops and ripens. A mathematical approach will then be used to collate, integrate and decipher the information. The collective data will reveal the interaction between the genes and metabolites in these tomato varieties from which a dynamic model can be constructed. This approach is termed a systems approach because it does not look at specific molecule entities but how they interact in a cell. The dynamic models showing the genes and molecules interacting will enable us to determine cascades of events occurring in the cell from which putative master regulators can be identified. These regulators will be tested by transient expression in the tomato fruit cells to see if they can elevate health related phytochemical in tomato fruit. The knowledge acquired will enable show to apply modern non-GM plant breeding techniques to produce improved tomato varieties that are nutrient rich and more beneficial to human health.

“我们吃什么就是什么”是一个多年来一直用来描述良好饮食成分重要性的短语。虽然这可能不是严格正确的，但已经表明富含水果和蔬菜的饮食对人类的福祉和健康有益。水果和蔬菜的有益效果归因于存在的各种植物化学物质的协同作用。许多这些化合物，如类胡萝卜素，维生素E和C，以及类黄酮和苯丙素是有效的抗氧化剂，具有消散身体代谢产生的破坏性反应分子的能力。番茄果实是重要的抗氧化剂的主要膳食来源，如类胡萝卜素（特别是成熟果实中的红色番茄红素）。消费者对改善的美学和营养品质的需求已经导致增加作物植物中这些化合物的水平的努力增加。最近已经生产出含有高水平的多种抗氧化剂的番茄品种。这些品种是通过操纵植物感知光线的能力而产生的，在这种情况下使用了转基因技术。虽然这项技术目前还不被消费者接受，但植物确实提供了一种有价值的研究工具来研究导致作物如番茄营养增强的潜在事件。在本提案中，我们的目标是利用现代技术来确定这些番茄品种的化学成分和基因表达，因为它们的果实发育和成熟。然后将使用数学方法来整理、整合和破译这些信息。收集的数据将揭示这些番茄品种中基因和代谢物之间的相互作用，从中可以构建动态模型。这种方法被称为系统方法，因为它不考虑特定的分子实体，而是它们如何在细胞中相互作用。显示基因和分子相互作用的动态模型将使我们能够确定细胞中发生的级联事件，从中可以确定推定的主调节因子。这些调节剂将通过在番茄果实细胞中瞬时表达来测试，以观察它们是否可以提高番茄果实中与健康相关的植物化学物质。所获得的知识将使show能够应用现代非转基因植物育种技术，生产出营养丰富、更有益于人类健康的改良番茄品种。