超出 (几何) 平均值:随机模型破坏了对冲投注进化的决定性预测
bioRxiv : the preprint server for biology
|July 28, 2023
概括
投注对冲是一种降低风险的策略,在小群体中可能是不适应的,但在较大的群体中可能是有益的,因为它取决于群体大小的选择. 仅仅是几何平均值的适应性无法预测投注对冲的演变.
科学领域:
- 进化生物学是进化的生物学.
- 生态遗传学 生态遗传学
- 人口动态 人口动态
背景情况:
- 押注对冲是一种在不可预测的环境中减少适应性差异的策略,传统上通过几何平均适应性 (GMF) 进行评估.
- 以前的模型经常简化了环境和生殖随机性,可能误解了投注对冲动态.
研究的目的:
- 调查环境,表型和生殖性随机性如何影响投注对冲特征的演变.
- 确定GMF是否足以预测不同种群大小的投注对冲的适应性价值.
主要方法:
- 利用基于个体的模拟和马尔科夫链数值来建模投注对冲策略.
- 在表型分布,环境和繁殖中内置的随机性.
- 将模型应用于已公布的Papaver dubium和沙门氏菌typhimurium的数据.
主要成果:
- 随机性可以改变与确定性预测相比的选择结果.
- 投注对冲的演变显示出对人口大小的非单调依赖,这种现象被称为符号反转.
- 在生物相关参数下,观察到保守和多元化注对冲机构的信号逆转.
结论:
- 几何平均值的适应性不足以预测投注对冲的适应性演变.
- 人口规模是影响注对冲策略成功或失败的关键因素.
- 植物和细菌中的现实世界注对冲特征表现出群体大小依赖的选择动态.
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