Moorad Jacob A, Promislow Daniel E L
Department of Genetics, University of Georgia, Athens, Georgia 30602-7223, USA.
Genetics. 2008 Aug;179(4):2061-73. doi: 10.1534/genetics.108.088526. Epub 2008 Jul 27.
Laboratory experiments show us that the deleterious character of accumulated novel age-specific mutations is reduced and made less variable with increased age. While theories of aging predict that the frequency of deleterious mutations at mutation-selection equilibrium will increase with the mutation's age of effect, they do not account for these age-related changes in the distribution of de novo mutational effects. Furthermore, no model predicts why this dependence of mutational effects upon age exists. Because the nature of mutational distributions plays a critical role in shaping patterns of senescence, we need to develop aging theory that explains and incorporates these effects. Here we propose a model that explains the age dependency of mutational effects by extending Fisher's geometrical model of adaptation to include a temporal dimension. Using a combination of simple analytical arguments and simulations, we show that our model predicts age-specific mutational distributions that are consistent with observations from mutation-accumulation experiments. Simulations show us that these age-specific mutational effects may generate patterns of senescence at mutation-selection equilibrium that are consistent with observed demographic patterns that are otherwise difficult to explain.
实验室实验表明,随着年龄增长,累积的新的年龄特异性突变的有害特性会降低,且变异性减小。虽然衰老理论预测,在突变 - 选择平衡状态下,有害突变的频率会随着突变的效应年龄增加而上升,但这些理论并未考虑新生突变效应分布中与年龄相关的变化。此外,没有模型能预测这种突变效应对年龄的依赖性为何存在。由于突变分布的性质在塑造衰老模式中起着关键作用,我们需要发展能解释并纳入这些效应的衰老理论。在此,我们提出一个模型,通过扩展费希尔的适应几何模型以纳入时间维度,来解释突变效应的年龄依赖性。通过结合简单的分析论证和模拟,我们表明我们的模型预测的年龄特异性突变分布与突变积累实验的观察结果一致。模拟显示,这些年龄特异性突变效应可能在突变 - 选择平衡状态下产生与观察到的人口统计学模式一致的衰老模式,而这些模式用其他方式难以解释。