Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543.
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands.
Proc Natl Acad Sci U S A. 2020 Jul 14;117(28):16431-16437. doi: 10.1073/pnas.1919988117. Epub 2020 Jun 29.
Maternal effect senescence-a decline in offspring survival or fertility with maternal age-has been demonstrated in many taxa, including humans. Despite decades of phenotypic studies, questions remain about how maternal effect senescence impacts evolutionary fitness. To understand the influence of maternal effect senescence on population dynamics, fitness, and selection, we developed matrix population models in which individuals are jointly classified by age and maternal age. We fit these models to data from individual-based culture experiments on the aquatic invertebrate, (Rotifera). By comparing models with and without maternal effects, we found that maternal effect senescence significantly reduces fitness for and that this decrease arises primarily through reduced fertility, particularly at maternal ages corresponding to peak reproductive output. We also used the models to estimate selection gradients, which measure the strength of selection, in both high growth rate (laboratory) and two simulated low growth rate environments. In all environments, selection gradients on survival and fertility decrease with increasing age. They also decrease with increasing maternal age for late maternal ages, implying that maternal effect senescence can evolve through the same process as in Hamilton's theory of the evolution of age-related senescence. The models we developed are widely applicable to evaluate the fitness consequences of maternal effect senescence across species with diverse aging and fertility schedule phenotypes.
母体效应衰老——随着母体年龄的增长,后代的存活率或生育率下降——在许多分类群中都有表现,包括人类。尽管经过了几十年的表型研究,但关于母体效应衰老如何影响进化适应性的问题仍然存在。为了了解母体效应衰老对种群动态、适应性和选择的影响,我们开发了矩阵种群模型,其中个体根据年龄和母体年龄共同分类。我们将这些模型拟合到基于个体的水生无脊椎动物 (轮虫)培养实验数据上。通过比较有和没有母体效应的模型,我们发现母体效应衰老显著降低了 的适应性,这种降低主要是通过降低生育能力,特别是在与母体最大生殖输出相对应的母体年龄。我们还使用模型估计了选择梯度,选择梯度衡量的是选择的强度,在高增长率(实验室)和两个模拟的低增长率环境中都进行了估计。在所有环境中,生存和生育力的选择梯度随着年龄的增加而降低。对于较晚的母体年龄,它们也随着母体年龄的增加而降低,这意味着母体效应衰老可以通过与 Hamilton 关于与年龄相关的衰老进化理论相同的过程进化。我们开发的模型广泛适用于评估具有不同衰老和生育时间表表型的物种中母体效应衰老对适应性的影响。