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首页> 美国卫生研究院文献>Frontiers in Genetics >Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the FLOWERING LOCUS T Gene Homologs in Chickpea
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Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the FLOWERING LOCUS T Gene Homologs in Chickpea

机译：控制开花的核心基因网络的动力学建模表明从鹰嘴豆中的开花LOCUS T基因同源物累计激活

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Initiation of flowering moves plants from vegetative to reproductive development. The time when this transition happens (flowering time), an important indicator of productivity, depends on both endogenous and environmental factors. The core genetic regulatory network canalizing the flowering signals to the decision to flower has been studied extensively in the model plant Arabidopsis thaliana and has been shown to preserve its main regulatory blocks in other species. It integrates activation from the FLOWERING LOCUS T (FT) gene or its homologs to the flowering decision expressed as high expression of the meristem identity genes, including AP1. We elaborated a dynamical model of this flowering gene regulatory network and applied it to the previously published expression data from two cultivars of domesticated chickpea (Cicer arietinum), obtained for two photoperiod durations. Due to a large number of free parameters in the model, we used an ensemble approach analyzing the model solutions at many parameter sets that provide equally good fit to data. Testing several alternative hypotheses about regulatory roles of the five FT homologs present in chickpea revealed no preference in segregating individual FT copies as singled-out activators with their own regulatory parameters, thus favoring the hypothesis that the five genes possess similar regulatory properties and provide cumulative activation in the network. The analysis reveals that different levels of activation from AP1 can explain a small difference observed in the expression of the two homologs of the repressor gene TFL1. Finally, the model predicts highly reduced activation between LFY and AP1, thus suggesting that this regulatory block is not conserved in chickpea and needs other mechanisms. Overall, this study provides the first attempt to quantitatively test the flowering time gene network in chickpea based on data-driven modeling.
机译：开花的开始使植物从营养生长转变为生殖发育。这种转变发生的时间（开花时间）是生产力的重要指标，取决于内在因素和环境因素。已在模型植物拟南芥中广泛研究了将开花信号传递到决定开花的核心遗传调控网络，并已证明其可在其他物种中保留其主要调控模块。它整合了从FLOWERING LOCUS T（FT）基因或其同源物到开花决定的激活过程，开花决定以分生组织同一性基因（包括AP1）的高表达形式表达。我们精心设计了该开花基因调控网络的动力学模型，并将其应用于先前发表的两个驯化鹰嘴豆（Cicer arietinum）品种的表达数据，获得了两个光周期时间。由于模型中有大量自由参数，因此我们采用整体方法分析了许多参数集的模型解决方案，这些参数集同样适合数据。测试关于鹰嘴豆中存在的五个FT同源物的调节作用的几种替代假设表明，没有偏好将单独的FT拷贝作为具有其自身调节参数的单独激活剂进行分离，因此支持了五个基因具有相似调节特性并提供累积激活的假设在网络中。分析显示，来自AP1的不同激活水平可以解释观察到阻遏基因TFL1的两个同源物表达的微小差异。最后，该模型预测LFY和AP1之间的活化会大大降低，因此表明该调控模块在鹰嘴豆中不保守，需要其他机制。总体而言，这项研究提供了首次尝试基于数据驱动的模型对鹰嘴豆中开花时间基因网络进行定量测试。

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