@article {68589,
	title = {How microscopic epistasis and clonal interference shape the fitness trajectory in a spin glass model of microbial long-term evolution},
	journal = {eLife},
	year = {2024},
	month = {2024 Feb 20},
	abstract = {<p>The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Microscopic epistasis and clonal interference are central aspects of evolution in microbes, but their combined effects on the functional form of the population{\textquoteright}s mean fitness are poorly understood. Here, we develop a computational method that resolves the full microscopic complexity of an evolving population subject to a standard serial dilution protocol. We find that stronger microscopic epistasis gives rise to fitness trajectories with slower growth independent of the number of competing strains, which we quantify with power-law fits and understand mechanistically via a random walk model that neglects dynamical correlations between genes. We show that clonal interference leads to fitness trajectories with faster growth (in functional form) without microscopic epistasis, but has a negligible effect when epistasis is sufficiently strong, indicating that the role of clonal interference depends intimately on the underlying fitness landscape.</p>
},
	doi = {10.7554/eLife.87895},
	url = {https://doi.org/10.7554/eLife.87895},
	author = {Nicholas M. Boffi and Yipei Guo and Chris H. Rycroft and Ariel Amir}
}
