The auxin signalling network translates dynamic input into robust patterning at the shoot apex.

The auxin signalling network translates dynamic input into robust patterning at the shoot apex.
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DOI:
10.1038/msb.2011.39
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发表时间:
2011-07-05
影响因子:
9.9
通讯作者:
Traas, Jan
Traas, Jan
中科院分区:
生物学1区
文献类型:
--
作者:
Vernoux, Teva;Brunoud, Geraldine;Farcot, Etienne;Morin, Valerie;Van den Daele, Hilde;Legrand, Jonathan;Oliva, Marina;Das, Pradeep;Larrieu, Antoine;Wells, Darren;Guedon, Yann;Armitage, Lynne;Picard, Franck;Guyomarc'h, Soazig;Cellier, Coralie;Parry, Geraint;Koumproglou, Rachil;Doonan, John H.;Estelle, Mark;Godin, Christophe;Kepinski, Stefan;Bennett, Malcolm;De Veylder, Lieven;Traas, Jan

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一个全面的表达和相互作用的生长素信号因子在拟南芥茎顶端分生组织的地图的构建和使用,以获得一个数学模型的生长素信号,从其中的关键预测实验证实。植物激素生长素被认为在发育过程中为模式提供位置信息。然而,目前还不清楚生长素是如何在组织中分布的,以及这种激素是如何在空间和时间中被感知的。生长素对基因表达的调控涉及到一个由50多种可能相互作用的转录激活子和抑制子组成的复杂网络,包括生长素反应因子(ARF)和Aux/IAAs。在这里,我们进行了大规模的Aux/IAA-ARF途径在芽尖的拟南芥,其中动态生长素为基础的图案控制器官发生的分析。一个全面的表达图谱和完整的相互作用组揭示了一个意想不到的简单的分布和结构,这条途径在茎尖。Aux/IAA-ARF网络的数学模型预测了生长素敏感性的空间差异具有很强的缓冲能力沿着。然后,我们使用一种新型的生长素信号传导传感器(报告信号传导途径的输入)与已发表的DR 5转录输出报告基因结合测试并证实了这些预测。我们的研究结果提供的证据表明,生长素信号网络是必不可少的,以创造强大的模式在拍摄顶端。
A comprehensive expression and interaction map of auxin signalling factors in the Arabidopsis shoot apical meristem is constructed and used to derive a mathematical model of auxin signalling, from which key predictions are experimentally confirmed. The plant hormone auxin is thought to provide positional information for patterning during development. It is still unclear, however, precisely how auxin is distributed across tissues and how the hormone is sensed in space and time. The control of gene expression in response to auxin involves a complex network of over 50 potentially interacting transcriptional activators and repressors, the auxin response factors (ARFs) and Aux/IAAs. Here, we perform a large-scale analysis of the Aux/IAA-ARF pathway in the shoot apex of Arabidopsis, where dynamic auxin-based patterning controls organogenesis. A comprehensive expression map and full interactome uncovered an unexpectedly simple distribution and structure of this pathway in the shoot apex. A mathematical model of the Aux/IAA-ARF network predicted a strong buffering capacity along with spatial differences in auxin sensitivity. We then tested and confirmed these predictions using a novel auxin signalling sensor that reports input into the signalling pathway, in conjunction with the published DR5 transcriptional output reporter. Our results provide evidence that the auxin signalling network is essential to create robust patterns at the shoot apex.
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