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首页> 外文期刊>Annals of Botany >A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes
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A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes

机译:水稻功能结构模型将定量遗传信息与形态发育和生理过程联系起来

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Background and Aims Although quantitative trait loci (QTL) analysis of yield-related traits for rice has developed rapidly, crop models using genotype information have been proposed only relatively recently. As a first step towards a generic genotype-phenotype model, we present here a three-dimensional functional-structural plant model (FSPM) of rice, in which some model parameters are controlled by functions describing the effect of main-effect and epistatic QTLs.Methods The model simulates the growth and development of rice based on selected ecophysiological processes, such as photosynthesis (source process) and organ formation, growth and extension (sink processes). It was devised using GroIMP, an interactive modelling platform based on the Relational Growth Grammar formalism (RGG). RGG rules describe the course of organ initiation and extension resulting in final morphology. The link between the phenotype (as represented by the simulated rice plant) and the QTL genotype was implemented via a data interface between the rice FSPM and the QTLNetwork software, which computes predictions of QTLs from map data and measured trait data.Key Results Using plant height and grain yield, it is shown how QTL information for a given trait can be used in an FSPM, computing and visualizing the phenotypes of different lines of a mapping population. Furthermore, we demonstrate how modification of a particular trait feeds back on the entire plant phenotype via the physiological processes considered.Conclusions We linked a rice FSPM to a quantitative genetic model, thereby employing QTL information to refine model parameters and visualizing the dynamics of development of the entire phenotype as a result of ecophysiological processes, including the trait(s) for which genetic information is available. Possibilities for further extension of the model, for example for the purposes of ideotype breeding, are discussed.
机译:背景和目的尽管水稻产量相关性状的数量性状位点(QTL)分析已得到迅速发展,但利用基因型信息的作物模型只是最近才提出的。作为迈向通用基因型-表型模型的第一步,我们在此介绍水稻的三维功能结构植物模型(FSPM),其中一些模型参数由描述主要效应和上位QTL效应的函数控制。方法该模型基于选定的生态生理过程(例如光合作用(源过程)和器官形成,生长和延伸(下沉过程))模拟水稻的生长和发育。它是使用GroIMP(基于关系增长语法形式主义(RGG)的交互式建模平台)设计的。 RGG规则描述了器官起始和延伸的过程,从而导致最终的形态。通过水稻FSPM和QTLNetwork软件之间的数据接口实现了表型(由模拟水稻植株代表)与QTL基因型之间的联系,该软件从地图数据和实测性状数据计算QTL预测。高度和籽粒产量,说明了如何在FSPM中使用给定性状的QTL信息,从而计算和可视化制图种群不同品系的表型。此外,我们展示了如何通过考虑的生理过程对特定性状进行修饰,从而将其反馈到整个植物的表型上。结论我们将水稻FSPM与定量遗传模型联系起来,从而利用QTL信息来完善模型参数并可视化玉米的发育动态整个表型是生态生理过程的结果,包括可获得遗传信息的性状。讨论了进一步扩展模型的可能性,例如出于表型育种的目的。

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