# Motion, fixation probability and the choice of an evolutionary process

**Authors:** Francisco Herrer\'ias-Azcu\'e, Vicente P\'erez-Mu\~nuzuri, Tobias, Galla

arXiv: 1901.03596 · 2020-07-01

## TL;DR

This paper investigates how the speed of flows in populations influences the fixation probability of mutants, revealing that flow can either amplify or suppress selection depending on the model and update rules.

## Contribution

It introduces a simulation-based analysis of flow effects on evolutionary dynamics, highlighting how flow speed alters fixation probabilities and interaction graph structures.

## Key findings

- Flow speed modulates fixation probability, either amplifying or suppressing selection.
- Different update rules exhibit characteristic responses to flow changes.
- Flow acts as a mechanism to fragment and reconnect interaction networks.

## Abstract

Different evolutionary models are known to make disparate predictions for the success of an invading mutant in some situations. For example, some evolutionary mechanics lead to amplification of selection in structured populations, while others suppress it. Here, we use computer simulations to study evolutionary populations moved by flows, and show how the speed of this motion impacts the fixation probability of an invading mutant. Flows of different speeds interpolate between evolutionary dynamics on fixed heterogeneous graphs and in well-stirred populations. We find that the motion has an active role in amplifying or suppressing selection, accomplished by fragmenting and reconnecting the interaction graph. While increasing flow speeds suppress selection for most evolutionary models, we identify characteristic responses to flow for the different update rules we test. We suggest these responses as a potential aid for choosing the most suitable update rule for a given biological system.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1901.03596/full.md

## References

77 references — full list in the complete paper: https://tomesphere.com/paper/1901.03596/full.md

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Source: https://tomesphere.com/paper/1901.03596