Paenke Ingo, Sendhoff Bernhard, Kawecki Tadeusz J
Institute of Applied Informatics and Formal Description Methods, University of Karlsruhe, D-76128 Karlsruhe, Germany.
Am Nat. 2007 Aug;170(2):E47-58. doi: 10.1086/518952. Epub 2007 Jun 5.
Phenotypic plasticity and related processes (learning, developmental noise) have been proposed to both accelerate and slow down genetically based evolutionary change. While both views have been supported by various mathematical models and simulations, no general predictions have been offered as to when these alternative outcomes should occur. Here we propose a general framework to study the effects of plasticity on the rate of evolution under directional selection. It is formulated in terms of the fitness gain gradient, which measures the effect of a marginal change in the degree of plasticity on the slope of the relationship between the genotypic value of the focal trait and log fitness. If the gain gradient has the same sign as the direction of selection, an increase in plasticity will magnify the response to selection; if the two signs are opposite, greater plasticity will lead to slower response. We use this general result to derive conditions for the acceleration/deceleration under several simple forms of plasticity, including developmental noise. We also show that our approach explains the results of several specific models from the literature and thus provides a unifying framework.
表型可塑性及相关过程(学习、发育噪声)被认为既能加速也能减缓基于基因的进化变化。虽然这两种观点都得到了各种数学模型和模拟的支持,但对于这些不同结果何时会出现,尚未给出一般性预测。在此,我们提出一个通用框架,用于研究在定向选择下可塑性对进化速率的影响。它是根据适应度增益梯度来制定的,该梯度衡量可塑性程度的边际变化对焦点性状的基因型值与对数适应度之间关系斜率的影响。如果增益梯度与选择方向具有相同符号,可塑性的增加将放大对选择的响应;如果两者符号相反,更大的可塑性将导致响应更慢。我们利用这个一般性结果推导出在几种简单形式的可塑性(包括发育噪声)下加速/减速的条件。我们还表明,我们的方法解释了文献中几个特定模型的结果,从而提供了一个统一的框架。