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Oscillatory Turing Pattern Formation from the Interactions between Hopf and Turing Bifurcations

机译:从Hopf和Turing分叉之间的相互作用产生振荡Turing模式形成

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摘要

Coupled positive and negative feedback loops are not only a fundamental building block of more complex networks but also an object of engineered gene regulatory networks in synthetic biology. Here, we analyze a two-component reaction-diffusion system of coupled positive and negative feedback loops. By Hopf and Turing bifurcation analyses both identifying system parameter regions where spatial patterns emerge, we find that the interactions between the two kinds of bifurcation modes can lead to oscillatory Turing patterns, such as holes and stripes as well as their coexisting modes, whereas the pure Turing instability only can lead to paralleling stripes or hexagons. Our analysis indicates that the formation of complex patterns depends on the bifurcation types as well as the interactions among bifurcation modes.
机译:耦合的正反馈和负反馈回路不仅是更复杂网络的基本组成部分,而且还是合成生物学中基因工程调控网络的对象。在这里,我们分析了正反馈和负反馈耦合的两组分反应扩散系统。通过Hopf和Turing分叉分析,可以识别出出现空间模式的系统参数区域,我们发现两种分叉模式之间的相互作用会导致振荡的Turing模式,例如孔和条纹以及它们的共存模式,而纯模式图灵不稳定性仅会导致平行条纹或六边形。我们的分析表明,复杂模式的形成取决于分叉类型以及分叉模式之间的相互作用。

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