There is a newer version of the record available.

Published June 23, 2023 | Version v1
Journal article Open

Major patterns in the introgression history of Heliconius butterflies

  • 1. Harvard University
  • 2. University College London

Description

Gene flow between species is an important evolutionary process that can facilitate adaptation and lead to species diversification. It also makes reconstruction of species relationships difficult. Here, we use the full-likelihood multispecies coalescent (MSC) approach to estimate species phylogeny and major introgression events in Heliconius butterflies from whole-genome sequence data. We obtain a robust estimate of species branching order among major clades in the genus, including the “melpomene-silvaniform” group, which shows extensive historical and on-going gene flow. We obtain chromosome-level estimates of key parameters in the species phylogeny, including species divergence times, present-day and ancestral population sizes as well as the direction, timing, and intensity of gene flow. Our analysis leads to a phylogeny with introgression events that differ from those obtained in previous studies. We find that H. aoede most likely represents the earliest-branching lineage of the genus and that “silvaniform” species are paraphyletic within the melpomene-silvaniform group. Our phylogeny provides new, parsimonious histories for the origins of key traits in Heliconius, including pollen feeding and an inversion involved in wing pattern mimicry. Our results demonstrate the power and feasibility of the full-likelihood MSC approach for estimating species phylogeny and key population parameters despite extensive gene flow. The methods used here should be useful for analysis of other difficult species groups with high rates of introgression.

Files

deep-heliconius-SI.pdf

Files (16.5 MB)

Name Size Download all
md5:70d05959634217be8d7b546b71a70789
15.5 MB Preview Download
md5:2f48792ebe19afb016dc9d24084ac35e
978.5 kB Download

Additional details

Related works

Is published in
Journal article: 10.7554/eLife.90656 (DOI)

Funding

UK Research and Innovation
UCL Biosciences Big Data BB/R01356X/1
UK Research and Innovation
Phylogeographic inference using genomic sequence data under the multispecies coalescent model BB/P006493/1