进化图形理论中的自我循环:朋友还是敌人?
Nikhil Sharma1, Sedigheh Yagoobi1, Arne Traulsen1
1Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.
PLoS computational biology
|September 1, 2023
概括
自动循环在低突变率的结构化群体中放大了选择. 然而,在更高的突变率下,这些自我循环变得有害,与混合良好的种群相比,减少了平均适应性.
科学领域:
- 进化生物学是进化的生物学.
- 数学建模的数学建模
- 人口遗传学 人口遗传学
背景情况:
- 空间结构化的种群影响进化动态.
- 结构可以放大选择,有利于有益的突变,阻碍有害的突变.
- 在低突变率的动态,易发生突变的结构中,自我循环对于选择放大至关重要.
研究的目的:
- 研究增加突变率对结构化群体选择放大效应的影响.
- 确定自我循环对超出低突变率制度的进化动态的影响.
- 确定弱突变近似失败的突变率值.
主要方法:
- 在不同结构和突变率的图表上分析进化动态.
- 在不同的人口结构 (自动循环,完整图表,抑制器) 之间比较稳定状态平均适应性.
- 根据种群大小计算平均固定时间,以估计突变率偏差.
主要成果:
- 自动循环在低突变率下增强选择放大,从而导致更高的平均适应性.
- 在中等和高突变率下,自我循环变得有害,与完整图相比,减少平均适应性.
- 这项研究提供了对突变率的估计,超出这个估计,弱突变近似变得不准确.
结论:
- 自动循环结构在放大选择中的有效性高度依赖于突变率.
- 除了关键突变率之外,自我循环的好处就会减少,它们可能会对进化结果产生负面影响.
- 了解这些突变速率的依赖性对于准确地建模结构化种群中的进化动态至关重要.
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