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Invasion and maintenance of meiotic drivers in populations of ascomycete fungi

Citation

Martinossi-Allibert, Ivain et al. (2021), Invasion and maintenance of meiotic drivers in populations of ascomycete fungi, Dryad, Dataset, https://doi.org/10.5061/dryad.0k6djhb0b

Abstract

Meiotic drivers are selfish genetic elements that are able to become over-represented among the products of meiosis. This transmission advantage makes it possible for them to spread in a population even when they impose fitness costs on their host organisms. Whether a meiotic driver can invade a population, and subsequently reach fixation or coexist in a stable polymorphism, depends on the one hand on the biology of the host organism, including its life-cycle, mating system, and population structure, and on the other hand on the specific fitness effects of the driving allele on the host. Here, we present a population genetic model for spore killing, a type of drive specific to fungi. We show how ploidy level, rate of selfing, and efficiency of spore killing affect the invasion probability of a driving allele and the conditions for its stable coexistence with a non-driving allele. Our model can be adapted to different fungal life-cycles, and is applied here to two well-studied genera of filamentous ascomycetes known to harbor spore killing elements, Neurospora and Podospora. We discuss our results in the light of recent empirical findings for these two systems.

Methods

The dataset consists of the Mathematica code notebook that was used to run simulations, parameter sweeps and generate plots.

In details:

-The code was used to generate all plots in section 3. as well as in the supplementary material.

-The code was used to produce stochastic simulations of invasion probability (sections 3.1.2 and 3.2.4) and parameter sweeps (section 3.2.3).

Usage Notes

The code contains all functions necessary to generate figures and other results of the study.

The function of each item is detailed within the notebook itslef.