Variation in plastic responses to light results from selection in different competitive environments-A game theoretical approach using virtual plants
Variation in plastic responses to light results from selection in different competitive environments-A game theoretical approach using virtual plants
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DOI：
10.1371/journal.pcbi.1007253
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发表时间：
2019-08-01
影响因子：
4.3
通讯作者：
Anten, Niels P. R.
中科院分区：
文献类型：
--
作者：
Bongers, Franca J.;Douma, Jacob C.;Anten, Niels P. R.
表型可塑性是植物通过诱导适应不同环境的表型来应对环境变化的重要策略。因此，了解自然选择如何作用于植物表型可塑性的变化是生态学的一个中心问题，但在建模研究中往往被忽视。在这里，我们提出了一种新的建模方法，允许选择的变化，在表型可塑性作为一种响应策略的分析。我们评估选择避荫策略的拟南芥在未来的邻居遮荫信号通过减少红色：远红（R：FR）的比例。为此，我们使用了一个空间上明确的3D虚拟植物模型，模拟单个拟南芥植物在不同的种植密度竞争光。植物的结构和生长是由植物自身的结构与光环境的相互作用决定的。避荫塑料反应定义的塑料反应曲线相关叶柄伸长和叶片生长R：FR认为当地。不同的可塑性策略表示不同形状的反应曲线，表示不同水平的R：FR敏感性。我们的分析表明，所选择的避荫策略的形状随种植密度而变化。在较高的种植密度下，比在较低的密度下选择更敏感的响应曲线。此外，叶片和叶柄反应之间的平衡影响选择的响应曲线的灵敏度。将计算虚拟植物建模与博弈论分析相结合，代表了分析自然选择如何作用于避荫变化作为响应策略的新步骤，这可以与遗传变异和潜在的生理过程联系起来。
Phenotypic plasticity is a vital strategy for plants to deal with changing conditions by inducing phenotypes favourable in different environments. Understanding how natural selection acts on variation in phenotypic plasticity in plants is therefore a central question in ecology, but is often ignored in modelling studies. Here we present a new modelling approach that allows for the analysis of selection for variation in phenotypic plasticity as a response strategy. We assess selection for shade avoidance strategies of Arabidopsis thaliana in response to future neighbour shading signalled through a decrease in red:far-red (R:FR) ratio. For this, we used a spatially explicit 3D virtual plant model that simulates individual Arabidopsis plants competing for light in different planting densities. Plant structure and growth were determined by the organ-specific interactions with the light environment created by the vegetation structure itself. Shade avoidance plastic responses were defined by a plastic response curve relating petiole elongation and lamina growth to R:FR perceived locally. Different plasticity strategies were represented by different shapes of the response curve that expressed different levels of R:FR sensitivity. Our analyses show that the shape of the selected shade avoidance strategy varies with planting density. At higher planting densities, more sensitive response curves are selected for than at lower densities. In addition, the balance between lamina and petiole responses influences the sensitivity of the response curves selected for. Combining computational virtual plant modelling with a game theoretical analysis represents a new step towards analysing how natural selection could have acted upon variation in shade avoidance as a response strategy, which can be linked to genetic variation and underlying physiological processes.