Stripe formation in juvenile Pomacanthus explained by a generalized Turing mechanism with chemotaxis
Stripe formation in juvenile Pomacanthus explained by a generalized Turing mechanism with chemotaxis
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DOI：
10.1073/pnas.96.10.5549
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发表时间：
1999-05-11
影响因子：
11.1
通讯作者：
Othmer, HG
中科院分区：
文献类型：
--
作者：
Painter, KJ;Maini, PK;Othmer, HG
当前对图案形成的兴趣可以追溯到图灵的一篇开创性论文，他证明了一种称为形态发生素的化学反应和扩散系统可以相互作用，从而在空间中产生稳定的非均匀浓度图案。最近，有人建议用图灵模型来解释生长中的神仙鱼（例如 Pomacanthus semicirculatus）的色素沉着模式的发展，这些神仙鱼在幼鱼和成鱼阶段的发育过程中表现出容易观察到的彩色条纹的数量、大小和方向的变化，但该模型无法预测条纹形成的观察特征。在这里，我们开发了一个结合了细胞生长和运动的广义图灵模型，我们分析了这些过程对图案形成的影响，并证明该模型可以解释生长系统（如长矛属）图案形成的重要特征。由于模式对模型参数的敏感性，经典图灵模型在生物模式形成中的适用性受到限制，但在这里我们表明，增长的结合会导致在没有严格参数控制的情况下稳健地生成模式。在该模型中，响应形态发生素分布梯度的趋化性导致一种类型的色素细胞聚集成条纹空间图案。
Current interest in pattern formation can be traced to a seminal paper by Turing, who demonstrated that a system of reacting and diffusing chemicals, called morphogens, can interact so as to produce stable nonuniform concentration patterns in space. Recently, a Turing model has been suggested to explain the development of pigmentation patterns on species of growing angelfish such as Pomacanthus semicirculatus, which exhibit readily observed changes in the number, size, and orientation of colored stripes during development of juvenile and adult stages, but the model fails to predict hey features of the observations on stripe formation. Here we develop a generalized Turing model incorporating cell growth and movement, we analyze the effects of these processes on patterning, and we demonstrate that the model can explain important features of pattern formation in a growing system such as Pomacanthus. The applicability of classical Turing models to biological pattern formation is limited by virtue of the sensitivity of patterns to model parameters, but here we show that the incorporation of growth results in robustly generated patterns without strict parameter control. In the model, chemotaxis in response to gradients in a morphogen distribution leads to aggregation of one type of pigment cell into a striped spatial pattern.