Balanced polymorphisms and their divergence in a <i>Heliconius</i> butterfly

Ogilvie, James; Belleghem, Steven M. Van; Range, Ryan; Papa, Riccardo; McMillan, W. Owen; Chouteau, Mathieu; Counterman, Brian A.

doi:10.1002/ece3.8423

Cited by 2 publications

(2 citation statements)

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“…Experimental and empirical investigations have shown the proliferation of monomorphism in species influenced by PFDS (Lindström et al, 2001;Mallet & Barton, 1989;Nokelainen et al, 2014), but also polymorphism (Chouteau et al, 2016;Ogilvie et al, 2021;Rönkä et al, 2020). Both are compatible with our expectation of PFDS under different types of selective pressure between populations.…”

Section: A Heterogenous Genomic Landscape Of Divergence Under Diverge...supporting

confidence: 88%

“…Because there are multiple genetic combinations that result in a given quantitative phenotype, small differences in frequency of the most common allele in each population could be quickly amplified by PFDS, resulting in the development of genomic islands over time. Experimental and empirical investigations have shown the proliferation of monomorphism in species influenced by PFDS (Lindström et al., 2001; Mallet & Barton, 1989; Nokelainen et al., 2014), but also polymorphism (Chouteau et al., 2016; Ogilvie et al., 2021; Rönkä et al., 2020). Both are compatible with our expectation of PFDS under different types of selective pressure between populations.…”

Section: Discussionmentioning

confidence: 99%

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The effect of divergent and parallel selection on the genomic landscape of divergence

Ali,

Coulson,

Clegg

et al. 2023

Molecular Ecology

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While the role of selection in divergence along the speciation continuum is theoretically well understood, defining specific signatures of selection in the genomic landscape of divergence is empirically challenging. Modelling approaches can provide insight into the potential role of selection on the emergence of a heterogenous genomic landscape of divergence. Here, we extend and apply an individual‐based approach that simulates the phenotypic and genotypic distributions of two populations under a variety of selection regimes, genotype–phenotype maps, modes of migration, and genotype‐environment interactions. We show that genomic islands of high differentiation and genomic valleys of similarity may respectively form under divergent and parallel selection between populations. For both types of between‐population selection, negative and positive frequency‐dependent selection within populations generated genomic islands of higher magnitude and genomic valleys of similarity, respectively. Divergence rates decreased under strong dominance with divergent selection, as well as in models including genotype‐environment interactions under parallel selection. For both divergent and parallel selection models, divergence rate was higher under an intermittent migration regime between populations, in contrast to a constant level of migration across generations, despite an equal number of total migrants. We highlight that interpreting a particular evolutionary history from an observed genomic pattern must be done cautiously, as similar patterns may be obtained from different combinations of evolutionary processes. Modelling approaches such as ours provide an opportunity to narrow the potential routes that generate the genomic patterns of specific evolutionary histories.

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