Draelants Delphine, Avitabile Daniele, Vanroose Wim
Department of Mathematics and Computer Science, Universiteit Antwerpen, Middelheimlaan 1, 2020 Antwerpen, Belgium
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
J R Soc Interface. 2015 May 6;12(106). doi: 10.1098/rsif.2014.1407.
We study the formation of auxin peaks in a generic class of concentration-based auxin transport models, posed on static plant tissues. Using standard asymptotic analysis, we prove that, on bounded domains, auxin peaks are not formed via a Turing instability in the active transport parameter, but via simple corrections to the homogeneous steady state. When the active transport is small, the geometry of the tissue encodes the peaks' amplitude and location: peaks arise where cells have fewer neighbours, that is, at the boundary of the domain. We test our theory and perform numerical bifurcation analysis on two models that are known to generate auxin patterns for biologically plausible parameter values. In the same parameter regimes, we find that realistic tissues are capable of generating a multitude of stationary patterns, with a variable number of auxin peaks, that can be selected by different initial conditions or by quasi-static changes in the active transport parameter. The competition between active transport and production rate determines whether peaks remain localized or cover the entire domain. In particular, changes in the auxin production that are fast with respect to the cellular life cycle affect the auxin peak distribution, switching from localized spots to fully patterned states. We relate the occurrence of localized patterns to a snaking bifurcation structure, which is known to arise in a wide variety of nonlinear media, but has not yet been reported in plant models.
我们研究了基于浓度的生长素运输模型的一般类中生长素峰的形成,该模型建立在静态植物组织上。使用标准渐近分析,我们证明,在有界域上,生长素峰不是通过主动运输参数中的图灵不稳定性形成的,而是通过对均匀稳态的简单修正形成的。当主动运输较小时,组织的几何形状编码了峰的幅度和位置:峰出现在细胞邻居较少的地方,即域的边界处。我们对两个已知能在生物学上合理的参数值下生成生长素模式的模型进行了理论测试和数值分岔分析。在相同的参数范围内,我们发现现实的组织能够生成多种静止模式,具有可变数量的生长素峰,这些峰可以通过不同的初始条件或主动运输参数的准静态变化来选择。主动运输和生产率之间的竞争决定了峰是保持局部化还是覆盖整个域。特别是,相对于细胞生命周期而言快速的生长素产生变化会影响生长素峰的分布,从局部斑点状态转变为完全图案化状态。我们将局部模式的出现与蛇行分岔结构联系起来,这种结构已知会在多种非线性介质中出现,但尚未在植物模型中报道过。