Genomic architecture of adaptive color pattern divergence and convergence in Heliconius butterflies

Megan A. Supple, Heather M. Hines, Kanchon K. Dasmahapatra, James J. Lewis, Dahlia M. Nielsen, Christine Lavoie, David A. Ray, Camilo Salazar, W. Owen McMillan, Brian A. Counterman

Research output: Contribution to journalArticlepeer-review

55 Scopus citations


Identifying the genetic changes driving adaptive variation in natural populations is key to understanding the origins of biodiversity. The mosaic of mimetic wing patterns in Heliconius butterflies makes an excellent system for exploring adaptive variation using next-generation sequencing. In this study, we use a combination of techniques to annotate the genomic interval modulating red color pattern variation, identify a narrow region responsible for adaptive divergence and convergence in Heliconius wing color patterns, and explore the evolutionary history of these adaptive alleles. We use whole genome resequencing from four hybrid zones between divergent color pattern races of Heliconius erato and two hybrid zones of the co-mimic Heliconius melpomene to examine genetic variation across 2.2 Mb of a partial reference sequence. In the intergenic region near optix, the gene previously shown to be responsible for the complex red pattern variation in Heliconius, population genetic analyses identify a shared 65-kb region of divergence that includes several sites perfectly associated with phenotype within each species. This region likely contains multiple cis-regulatory elements that control discrete expression domains of optix. The parallel signatures of genetic differentiation in H. erato and H. melpomene support a shared genetic architecture between the two distantly related co-mimics; however, phylogenetic analysis suggests mimetic patterns in each species evolved independently. Using a combination of next-generation sequencing analyses, we have refined our understanding of the genetic architecture of wing pattern variation in Heliconius and gained important insights into the evolution of novel adaptive phenotypes in natural populations.

Original languageEnglish (US)
Pages (from-to)1248-1257
Number of pages10
JournalGenome Research
Issue number8
StatePublished - Aug 2013

All Science Journal Classification (ASJC) codes

  • Genetics
  • Genetics(clinical)


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