Death-birth adaptive dynamics: modeling trait evolution.

Ian Braga, Emmanuel Pereira, Lucas Wardil
Author Information
  1. Ian Braga: Institute of Molecular Biology, Academia Sinica, Nangang District, Taipei City, Taiwan 115.
  2. Emmanuel Pereira: Departamento de Física, Universidade de Minas Gerais, 31270-901, Belo Horizonte MG, Brazil.
  3. Lucas Wardil: Departamento de Física, Universidade de Minas Gerais, 31270-901, Belo Horizonte MG, Brazil.

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.

MeSH Term

Biological Evolution
Stochastic Processes
Models, Biological
Reproduction
Models, Genetic
Adaptation, Physiological

Word Cloud

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