Unraveling Evolutionary Dynamics: Insights from In Silico Experiments on Selective Mechanisms in Controlled Environments

Marco Ledda, Alessandro Pluchino, Marco Ragusa

biorxiv(2023)

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摘要
In this paper, we present a series of in silico experiments aimed at probing the evolutionary properties of our model. Our investigation encompasses multiple methodologies, beginning with the standard model used in population genetics for measuring natural selection. Next, we employ the Price equation, a well-established formalism known for its effectiveness in tracking how the relationship between parents and offspring evolves over time. In conclusion, we delve into the model results to explain, in the light of evolutionary theory, how the selective mechanism operates. Furthermore, the speculation about the mechanism will be hindered on the agents of the selective process. Even though natural selection can be considered as a statistical phenomenon, sprouting from the change in population frequencies, we argue that in models where there is a elevate control on the environment, it is possible to define the single element responsible for the selective pressure on the units of selection. ### Competing Interest Statement The authors have declared no competing interest.
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