Simple network motifs can capture key characteristics of the floral transition in Arabidopsis.
Simple network motifs can capture key characteristics of the floral transition in Arabidopsis.
复制标题
简单的网络图案可以捕获拟南芥花卉过渡的关键特征。
DOI：
10.4161/psb.26149
复制
发表时间：
2013-11
影响因子：
2.9
通讯作者：
Morris RJ
中科院分区：
文献类型：
--
作者：
Pullen N;Jaeger KE;Wigge PA;Morris RJ
花的转变是植物发育过程中的一个关键决定。虽然不同的物种进化出了不同的途径来响应不同的环境线索，以在正确的季节开花，但不可逆性和对波动信号的鲁棒性等关键特性似乎是保守的。我们使用数学建模来证明核心组件的最小调节网络如何足以捕获这些行为。简化的模型不可避免地遗漏了生物系统的更精细的细节，但它们提供了一个易于理解的途径来理解整个系统的行为。我们将模型与实验数据相结合，以定性地再现花过渡的特征，并定量地扩展网络以适应可用的叶数。我们的研究强调了采用迭代方法将建模与实验工作相结合以捕获复杂系统的关键特征的价值。
The floral transition is a key decision during plant development. While different species have evolved diverse pathways to respond to different environmental cues to flower in the correct season, key properties such as irreversibility and robustness to fluctuating signals appear to be conserved. We have used mathematical modeling to demonstrate how minimal regulatory networks of core components are sufficient to capture these behaviors. Simplified models inevitably miss finer details of the biological system, yet they provide a tractable route to understanding the overall system behavior. We combined models with experimental data to qualitatively reproduce characteristics of the floral transition and to quantitatively scale the network to fit with available leaf numbers. Our study highlights the value of pursuing an iterative approach combining modeling with experimental work to capture key features of complex systems.