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Recombination rate variation shapes barriers to introgression across butterfly genomes
Open accessAbstract
Hybridisation and introgression can dramatically alter the relationships among groups of species, leading to phylogenetic discordance across the genome and between populations. Introgression can also erode species differences over time, but selection against introgression at certain loci acts to maintain postmating species barriers. Theory predicts that species barriers made up of many loci throughout the genome should lead to a broad correlation between introgression and recombination rate, which determines the extent to which selection on deleterious foreign alleles will affect neutral alleles at physically linked loci. Here, we describe the variation in genealogical relationships across the genome among three species of Heliconius butterflies: H. melpomene (mel), H. cydno (cyd), and H. timareta (tim), using whole genomes of 92 individuals, and ask whether this variation can be explained by heterogeneous barriers to introgression. We find that species relationships vary predictably at the chromosomal scale. By quantifying recombination rate and admixture proportions, we then show that rates of introgression are predicted by variation in recombination rate. This implies that species barriers are highly polygenic, with selection acting against introgressed alleles across most of the genome. In addition, long chromosomes, which have lower recombination rates, produce stronger barriers on average than short chromosomes. Finally, we find a consistent difference between two species pairs on either side of the Andes, which suggests differences in the architecture of the species barriers. Our findings illustrate how the combined effects of hybridisation, recombination, and natural selection, acting at multitudes of loci over long periods, can dramatically sculpt the phylogenetic relationships among species.
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Palasyuk, T., Troyan, I., Eremets, M., Drozd, V., Medvedev, S., Zaleski–Ejgierd, P., Magos–Palasyuk, E., Wang, H., Bonev, S. A., Dudenko, D., et al. (2014) · Nature Communications · doi:10.1038/ncomms4460 · Cited by 58
The Effect of Linkage on Establishment and Survival of Locally Beneficial Mutations
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Two sisters in the same dress: Heliconius cryptic species
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Self-citationGenomics of adaptive divergence with chromosome‐scale heterogeneity in crossover rate
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Efficient Strategies for Calculating Blockwise Likelihoods Under the Coalescent
Lohse, K., Chmelík, M., Martin, S. H., & Barton, N. (2015) · Genetics · doi:10.1534/genetics.115.183814 · Cited by 50
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Self-citationAn introgressed wing pattern acts as a mating cue
Sánchez, A. P., Pardo‐Díaz, C., Enciso‐Romero, J., MUÑOZ, A. G., Jiggins, C. D., Salazar, C. A., & Linares, M. (2015) · Evolution · doi:10.1111/evo.12679 · Cited by 26
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Self-citationGlittering gold and the quest for Isla de Muerta
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Self-citationRe-evaluating Homoploid Reticulate Evolution in Helianthus Sunflowers
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Metadata
- Authors
- Martin, S. H., Davey, J. W., Salazar, C., & Jiggins, C. D.
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-02-07
- Volume
- 17
- Issue
- 2
- Pages
- e2006288
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2950701710
- Cited by
- 320
- References
- 109
- FWCI
- 20.45
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.