Natural selection and genetic diversity in the butterfly heliconius melpomene

Simon H. Martin, Markus Möst, William J. Palmer, Camilo Salazar, W. Owen McMillan, Francis M. Jiggins, Chris D. Jiggins

    Research output: Contribution to journalArticlepeer-review

    35 Scopus citations

    Abstract

    A combination of selective and neutral evolutionary forces shape patterns of genetic diversity in nature. Among the insects, most previous analyses of the roles of drift and selection in shaping variation across the genome have focused on the genus Drosophila. A more complete understanding of these forces will come from analyzing other taxa that differ in population demography and other aspects of biology. We have analyzed diversity and signatures of selection in the neotropical Heliconius butterflies using resequenced genomes from 58 wild-caught individuals of Heliconius melpomene and another 21 resequenced genomes representing 11 related species. By comparing intraspecific diversity and interspecific divergence, we estimate that 31% of amino acid substitutions between Heliconius species are adaptive. Diversity at putatively neutral sites is negatively correlated with the local density of coding sites as well as nonsynonymous substitutions and positively correlated with recombination rate, indicating widespread linked selection. This process also manifests in significantly reduced diversity on longer chromosomes, consistent with lower recombination rates. Although hitchhiking around beneficial nonsynonymous mutations has significantly shaped genetic variation in H. melpomene, evidence for strong selective sweeps is limited overall. We did however identify two regions where distinct haplotypes have swept in different populations, leading to increased population differentiation. On the whole, our study suggests that positive selection is less pervasive in these butterflies as compared to fruit flies, a fact that curiously results in very similar levels of neutral diversity in these very different insects.

    Original languageEnglish (US)
    Pages (from-to)525-541
    Number of pages17
    JournalGenetics
    Volume203
    Issue number1
    DOIs
    StatePublished - May 2016

    All Science Journal Classification (ASJC) codes

    • Genetics

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