Abstract

Investigating gene expression evolution over micro- and macroevolutionary timescales will expand our understanding of the role of gene expression in adaptation and speciation. In this study, we characterized the evolutionary forces acting on gene expression levels in eye and brain tissue of five Heliconius butterflies with divergence times of ∼5-12 MYA. We developed and applied Brownian motion (BM) and Ornstein-Uhlenbeck (OU) models to identify genes whose expression levels are evolving through drift, stabilizing selection, or a lineage-specific shift. We found that 81% of the genes evolve under genetic drift. When testing for branch-specific shifts in gene expression, we detected 368 (16%) shift events. Genes showing a shift toward upregulation have significantly lower gene expression variance than those genes showing a shift leading toward downregulation. We hypothesize that directional selection is acting in shifts causing upregulation, since transcription is costly. We further uncovered through simulations that parameter estimation of OU models is biased when using small phylogenies and only becomes reliable with phylogenies having ≥ 50 taxa. Therefore, we developed a new statistical test based on BM to identify highly conserved genes (i.e., evolving under strong stabilizing selection), which comprised 3% of the orthoclusters. In conclusion, we found that drift is the dominant evolutionary force driving gene expression evolution in eye and brain tissue in Heliconius Nevertheless, the higher proportion of genes evolving under directional than under stabilizing selection might reflect species-specific selective pressures on vision and the brain that are necessary to fulfill species-specific requirements.

Highlights

  • Investigating gene expression evolution over micro- and macroevolutionary timescales will expand our understanding of the role of gene expression in adaptation and speciation

  • One of our main objectives in this study was to detect the evolutionary forces acting on gene expression by identifying deviations of gene expression variation from the variation expected from phylogeny alone

  • Our study on the evolutionary forces acting on gene expression in combined eye and brain tissue of Heliconius butterflies reveals that drift is the dominant evolutionary force driving gene expression divergence (81% of the transcriptome)

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Summary

Introduction

Investigating gene expression evolution over micro- and macroevolutionary timescales will expand our understanding of the role of gene expression in adaptation and speciation. We characterized the evolutionary forces acting on gene expression levels in eye and brain tissue of five Heliconius butterflies with divergence times of 5–12 MYA. A linear relationship between divergence time and gene expression variance has been proposed for closely related species, assuming a clock-like (i.e., constant through time) rate of gene expression divergence (Khaitovich et al 2004, 2005a) Another approach to study the evolutionary forces shaping gene expression evolution, which is motivated by statistical phylogenetics, is fitting Brownian motion (BM) models. We used five closely related species of Heliconius butterflies to explore the evolutionary forces shaping gene expression variation in combined eye and brain tissue. Which evolutionary forces are shaping adult eye and brain expression in Heliconius is one question we seek to investigate, and in that way, gain an understanding of the potential role of interspecies gene expression differences in speciation and adaptation

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