bioRxivEvolutionary BiologyPreprint
The creation-mutation-selection model: simulation and the advantage of sex
Abstract
The creation-mutation-selection model makes predictions regarding the fitness of asexual and sexual populations in an environment that includes both positive and negative selection. However, for the asexual case, the model predictions depend upon the variance or skewness of the population log fitness distribution, something which the model does not provide. This makes the analytical comparison of the fitness of asexual and sexual populations appear to be intractable. Instead, simulation is required. The fitness of asexual and sexual populations is simulated over a range of plausible parameter values. The fitness is found to agree with the predictions of the creation-mutation-selection model. The cost of asexuality is found to exceed the cost of sex by a very large margin for eukaryotic species today, and probably for the first eukaryotes. Prokaryotes and the mitochondrion are viewed as asexual species for which asexuality incurs little cost.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The non-stationary dynamics of fitness distributions: asexual model with epistasis and standing variation.
- Why Do Hybrids Turn Down Sex?
F. Fyon, W. M. Berbel-Filho, … F. Ubeda·bioRxiv·Feb 24, 2023
- The emergence of a birth-dependent mutation rate in asexuals: causes and consequences
- Adaptation of a quantitative trait to a changing environment: new analytical insights on the asexual and infinitesimal sexual models.
J. Garnier, O. Cotto, … V. Calvez·bioRxiv·Jun 22, 2022
- The adaptive function of sexual reproduction: resampling the genotype pool.
D. A. Hickey, G. B. Golding·bioRxiv·Jun 14, 2020
- What ecological factors favor parthenogenesis over sexual reproduction? A study on the facultatively parthenogenetic mayfly Alainites muticus in natural populations.
M. Liegeois, M. Sartori, T. Schwander·bioRxiv·Sep 10, 2021