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Selection and isolation define a heterogeneous divergence landscape between hybridizing Heliconius butterflies
Author(s) -
Van Belleghem Steven M.,
Cole Jared M.,
MontejoKovacevich Gabriela,
Bacquet Caroline N.,
McMillan W. Owen,
Papa Riccardo,
Counterman Brian A.
Publication year - 2021
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.14272
Subject(s) - heliconius , biology , reproductive isolation , gene flow , evolutionary biology , divergence (linguistics) , genetic algorithm , clade , selection (genetic algorithm) , phylogenetics , ecology , butterfly , genetic variation , genetics , gene , population , linguistics , philosophy , demography , artificial intelligence , sociology , computer science
Hybridizing species provide a powerful system to identify the processes that shape genomic variation and maintain species boundaries. However, complex histories of isolation, gene flow, and selection often generate heterogeneous genomic landscapes of divergence that complicate reconstruction of the speciation history. Here, we explore patterns of divergence to reconstruct recent speciation in the erato clade of Heliconius butterflies. We focus on the genomic landscape of divergence across three contact zones of the species H. erato and H. himera . We show that these hybridizing species have an intermediate level of divergence in the erato clade, which fits with their incomplete levels of reproductive isolation. Using demographic modeling and the relationship between admixture and divergence with recombination rate variation, we reconstruct histories of gene flow, selection, and demographic change that explain the observed patterns of genomic divergence. We find that periods of isolation and selection within populations, followed by secondary contact with asymmetrical gene flow are key factors in shaping the heterogeneous genomic landscapes. Collectively, these results highlight the effectiveness of demographic modeling and recombination rate estimates to disentangling the distinct contributions of gene flow and selection to patterns of genomic divergence.