Abstract

Understanding the dynamics of molecular adaptation is a fundamental goal of evolutionary biology. While adaptation to constant environments has been well characterized, the effects of environmental complexity remain seldom studied. One simple but understudied factor is the rate of environmental change. Here we used experimental evolution with RNA viruses to investigate whether evolutionary dynamics varied based on the rate of environmental turnover. We used whole‐genome next‐generation sequencing to characterize evolutionary dynamics in virus populations adapting to a sudden versus gradual shift onto a novel host cell type. In support of theoretical models, we found that when populations evolved in response to a sudden environmental change, mutations of large beneficial effect tended to fix early, followed by mutations of smaller beneficial effect; as predicted, this pattern broke down in response to a gradual environmental change. Early mutational steps were highly parallel across replicate populations in both treatments. The fixation of single mutations was less common than sweeps of associated “cohorts” of mutations, and this pattern intensified when the environment changed gradually. Additionally, clonal interference appeared stronger in response to a gradual change. Our results suggest that the rate of environmental change is an important determinant of evolutionary dynamics in asexual populations.

Highlights

  • Populations can adapt by fixing a series of beneficial mutations that improve fitness in the selective environment

  • Of mutations recorded above the 1% threshold, 94.86% were single-nucleotide polymorphisms (SNPs) and 5.14% were indels

  • Our results support theoretical predictions that the rate of environmental turnover should affect the dynamics of adaptation (Waxman and Peck 1999; Collins et al 2007; Kopp and Hermisson 2009a,2009b; Schiffels et al 2011)

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Summary

Introduction

Populations can adapt by fixing a series of beneficial mutations that improve fitness in the selective environment. Characterizing these molecular dynamics quantitatively is a key step toward predicting how natural populations will respond to changes in their environments. Clonal interference occurs when multiple beneficial mutations are present simultaneously on different genetic backgrounds in a population. Because these mutations cannot be recombined onto the same background, beneficial mutations can be lost when one lineage outcompetes another (Gerrish and Lenski 1998; Wilke 2004). Multiple beneficial mutations can occur on the same genetic background before a lineage fixes. We experimentally explore how these dynamics may be influenced by the rate of environmental change

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