Death-birth adaptive dynamics: modeling trait evolution

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.

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Publication Details

Journal
Physical review. E
Published
2024-09-19
DOI
https://doi.org/10.1103/physreve.110.l032401
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Death-birth adaptive dynamics: modeling trait evolution

Lucas Wardil, Emmanuel Pereira, Ian Braga
Physical review. E
Evolution and Genetic Dynamics
article

Death-birth adaptive dynamics: modeling trait evolution

Lucas Wardil, Emmanuel Pereira, Ian Braga
article en

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.

Physical review. EVol. 110(3)
Universidade do Estado de Minas Gerais (BR), Academia Sinica (TW)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 82%
Evolution and Genetic Dynamics
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Death-birth adaptive dynamics: modeling trait evolution — Lucas Wardil, Emmanuel Pereira, et al. · Physical review. E (2024) | TGRS Research Map | TGRS