Uriel Urquiza-Garcia, Nacho Molina, Karen J. Halliday, Andrew J Millar
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引用次数: 0
摘要
了解整个生物体性状(如开花时间)背后的生物化学是一项长期挑战,其中数学模型至关重要。很少有植物基因回路模型使用与生化数据比较所需的绝对单位。我们将植物昼夜节律时钟的两个详细模型从相对单位重构为绝对单位。使用绝对 RNA 定量,一个简单的模型预测了拟南芥中丰富的时钟蛋白水平,每个细胞高达 100,000 个蛋白。NanoLUC 报告蛋白融合验证了预测的体内时钟蛋白水平。根据这些蛋白质水平重新校准详细模型,估算出了它们的 DNA 结合解离常数(Kd)。我们从体外的多个结果中估算出了相同的 Kd,从而将该方法扩展到了任何启动子序列。详细模型模拟了体外 LUX DNA 结合估计的 Kd 范围,但与 CCA1 结合的数据有偏差,这表明存在进一步的昼夜节律机制。我们的分析和实验方法可用于了解其他植物基因调控网络,可能包括有助于进化适应的自然序列变异。
Abundant clock proteins point to missing molecular regulation in the plant circadian clock
Understanding the biochemistry behind whole-organism traits such as flowering time is a longstanding challenge, where mathematical models are critical. Very few models of plant gene circuits use the absolute units required for comparison to biochemical data. We refactor two detailed models of the plant circadian clock from relative to absolute units. Using absolute RNA quantification, a simple model predicted abundant clock protein levels in Arabidopsis thaliana, up to 100,000 proteins per cell. NanoLUC reporter protein fusions validated the predicted levels of clock proteins in vivo. Recalibrating the detailed models to these protein levels estimated their DNA-binding dissociation constants (Kd). We estimate the same Kd from multiple results in vitro, extending the method to any promoter sequence. The detailed models simulated the Kd range estimated from LUX DNA-binding in vitro but departed from the data for CCA1 binding, pointing to further circadian mechanisms. Our analytical and experimental methods should transfer to understand other plant gene regulatory networks, potentially including the natural sequence variation that contributes to evolutionary adaptation.