Evolutionary advantage of small populations on complex fitness landscapes
Kavita Jain, Joachim Krug, Su-Chan Park

TL;DR
Small populations on complex fitness landscapes can outperform larger ones in evolving higher fitness due to their ability to avoid local maxima, especially at intermediate evolutionary time scales.
Contribution
The paper introduces a quantitative model of three-locus fitness landscapes to analyze how small populations can have an evolutionary advantage on complex landscapes.
Findings
Small populations are more likely to follow paths of rapid initial fitness increase.
Large populations tend to get trapped at local fitness peaks.
The advantage of small populations persists across different landscape complexities.
Abstract
Background: Recent experimental and theoretical studies have shown that small asexual populations evolving on complex fitness landscapes may achieve a higher fitness than large ones due to the increased heterogeneity of adaptive trajectories. Here we introduce a class of haploid three-locus fitness landscapes that allows to investigate this scenario in a precise and quantitative way. Results: Our main result derived analytically shows how the probability of choosing the path of largest initial fitness increase grows with the population size. This makes large populations more likely to get trapped at local fitness peaks and implies an advantage of small populations at intermediate time scales. The range of population sizes where this effect is operative coincides with the onset of clonal interference. Additional studies using ensembles of random fitness landscapes show that the results…
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Taxonomy
TopicsEvolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation · Plant and animal studies
