Death-birth adaptive dynamics: modeling trait evolution

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Ian Braga, Emmanuel Pereira, Lucas Wardil
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引用次数: 0

Abstract

Here, we derive stochastic adaptive dynamics from the microscopic death-birth process by explicitly modeling the trait variation from offspring to parent in each reproductive event, thereby accounting for a highly polymorphic population. This generalization enables the construction of a quantitative model that can be subjected to empirical validation. Our mathematical analysis furnishes a formula for estimating the trait variation in the reproductive step by exclusively observing the current trait variation in the population. In addition, we provide a straightforward approach to obtain the fitness function associated with a particular trait by examining its actual evolutionary trajectory, which can be employed to forecast the continued evolution of the trait.

Abstract Image

死亡-出生适应动态:性状进化建模
在这里,我们从微观的死亡-出生过程中推导出随机适应动力学,明确地模拟了每次繁殖过程中子代到父代的性状变异,从而考虑到高度多态的种群。这种概括使我们能够构建一个可进行经验验证的定量模型。我们的数学分析提供了一个公式,可以通过只观察种群当前的性状变异来估计繁殖步骤中的性状变异。此外,我们还提供了一种直接的方法,通过研究特定性状的实际进化轨迹来获得与之相关的适应度函数,从而预测该性状的持续进化。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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