CNRS, Université Lyon 1, 43 bd du 11 novembre 1918, VILLEURBANNE cedex 69622, France.
Mech Ageing Dev. 2024 Jun;219:111927. doi: 10.1016/j.mad.2024.111927. Epub 2024 Mar 16.
The different evolutionary theories of senescence predict different directions for the correlation between the population size and the intensity of senescence. Using simulations, I highlighted how the effect of the population size on the intensity of senescence could be reinforced by the time since populations have been large or small. I devised a mutation-selection model in which the effect of the mutations was age-specific. Several small populations diverged from a same large population at different points in time. At the end of the simulation, the correlation between the time since the populations had been small and the rate of senescence was positive under the mutation accumulation theory and negative under the antagonistic pleiotropy theory. The phenomenon was strong enough to reverse the usually negative relationship between the intensity of senescence and the generation time. These mutually-exclusive predictions could help broaden the taxonomic support for the mutation accumulation theory of senescence, currently mostly supported in humans and lab invertebrates. I briefly mention a few potential applications in real-life systems.
衰老的不同进化理论预测了种群大小与衰老强度之间的相关性的不同方向。我通过模拟强调了种群大小对衰老强度的影响如何会因种群大小的时间长短而增强。我设计了一个突变-选择模型,其中突变的效果是随年龄而异的。几个小种群在不同的时间点从一个大种群中分化出来。在模拟结束时,在突变积累理论下,种群规模较小的时间与衰老速度之间的相关性是正相关,而在拮抗多效性理论下则是负相关。这种现象足够强烈,可以扭转衰老强度与世代时间之间通常的负相关关系。这些相互排斥的预测可以帮助扩大衰老的突变积累理论的分类学支持,目前该理论主要在人类和实验室无脊椎动物中得到支持。我简要提到了一些在现实系统中的潜在应用。