There is a newer version of the record available.

Published October 2, 2023 | Version v2

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

ctl.zip

Files (1.4 GB)

Name Size
md5:7759c6684a0b2a56b236a1e528c492a4
29.8 kB Preview Download
md5:ecafd2d63817df6e35804e0936a231c6
27.1 MB Download
md5:074310fad07a4ebb0d2fa62104fbfd97
62.4 MB Download
md5:18846258d7fba573374b28a0a3311b77
697.7 MB Download
md5:d9efb52cdcd8ad782d4f43d2eb7a50cb
400.1 MB Download
md5:6eddbf3b1a8cc6bb8e59f94cf694d1d1
196.0 MB Download
md5:bfceed7380b31060a43b2e9753866d26
2.7 kB Preview Download
md5:2aad71c6032621f0b22eca306aa04e72
3.5 kB Preview Download
md5:2b2929159c1dbeb2e05560b5efbb7541
10.5 MB Download
md5:01a8a90009daf91ecb9288655ce75b8c
985.3 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