A mathematical analysis of the evolutionary benefits of sexual reproduction

TL;DR

This paper provides a rigorous mathematical analysis demonstrating that sexual reproduction enhances evolutionary adaptability and fitness optimization across various population models, explaining its prevalence in higher organisms.

Contribution

It introduces a novel approach tracking genotype distributions across fitness landscapes, proving sexual reproduction's superiority in optimizing mean fitness in an infinite populations model.

Findings

Sexual reproduction outperforms asexual reproduction in simulations.

Mathematical proof shows sex as a more efficient fitness optimizer in infinite populations.

Features of the analysis extend to finite population models.

Abstract

The question as to why most higher organisms reproduce sexually has remained open despite extensive research, and has been called "the queen of problems in evolutionary biology". Theories dating back to Weismann have suggested that the key must lie in the creation of increased variability in offspring, causing enhanced response to selection. Rigorously quantifying the effects of assorted mechanisms which might lead to such increased variability, and establishing that these beneficial effects outweigh the immediate costs of sexual reproduction has, however, proved problematic. Here we introduce an approach which does not focus on particular mechanisms influencing factors such as the fixation of beneficial mutants or the ability of populations to deal with deleterious mutations, but rather tracks the entire distribution of a population of genotypes as it moves across vast fitness landscapes. In this setting simulations now show sex robustly outperforming asex across a broad spectrum of finite or infinite population models. Concentrating on the additive infinite populations model, we are able to give a rigorous mathematical proof establishing that sexual reproduction acts as a more efficient optimiser of mean fitness, thereby solving the problem for this model. Some of the key features of this analysis carry through to the finite populations case.