bioRxivEvolutionary Biology
A dynamical limit to evolutionary adaptation
Abstract
Natural selection makes evolutionary adaptation possible even if the overwhelming majority of new mutations are deleterious. However, in rapidly evolving populations where numerous linked mutations occur and segregate simultaneously, clonal interference and genetic hitchhiking can limit the efficiency of selection, allowing deleterious mutations to accumulate over time. This can in principle overwhelm the fitness increases provided by beneficial mutations, leading to an overall fitness decline. Here, we analyze the conditions under which evolution will tend to drive populations to higher versus lower fitness. Our analysis focuses on quantifying the boundary between these two regimes, as a function of parameters such as population size, mutation rates, and selection pressures. This boundary represents a state in which adaptation is precisely balanced by Mullers ratchet, and we show that it can be characterized by rapid molecular evolution without any net fitness change. Finally, we consider the implications of global fitness-mediated epistasis, and find that under some circumstances this can drive populations towards the boundary state, which can thus represent a long-term evolutionary attractor.
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 effect of weak clonal interference on average fitness trajectories in the presence of macroscopic epistasis
Yipei Guo, Ariel Amir·GeneticsPeer-reviewed·Feb 16, 2022
- Rapid evolution can select for fitness tradeoffs in fluctuating environments
John McEnany, Benjamin H. Good·bioRxiv·Sep 4, 2026
- Adaptive excursions across the drift barrier
Stephen P. De Lisle·bioRxiv·Sep 28, 2026
- Bottlenecks can constrain and channel evolutionary paths
Jasmine Gamblin, Sylvain Gandon, … Amaury Lambert·GeneticsPeer-reviewed·Feb 2, 2023
- The Rate of Molecular Evolution When Mutation May Not Be Weak
A. P. Jason de Koning, Bianca De Sanctis·bioRxiv·Aug 28, 2018
- Dynamics of the distribution of fitness effects during adaptation
Tenoch Morales, Abigail Kushnir, Lindi M. Wahl·Theoretical Population BiologyPeer-reviewed·Sep 22, 2025