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Classic and introgressed selective sweeps shape mimicry loci across a butterfly adaptive radiation

View ORCID ProfileMarkus Moest, View ORCID ProfileSteven M. Van Belleghem, Jennifer E. James, Camilo Salazar, Simon H. Martin, Sarah L. Barker, Gilson R. P. Moreira, Claire Mérot, Mathieu Joron, Nicola J. Nadeau, Florian M. Steiner, Chris D. Jiggins
doi: https://doi.org/10.1101/685685
Markus Moest
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
2Department of Ecology, University of Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria
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  • ORCID record for Markus Moest
  • For correspondence: markus.moest@uibk.ac.at
Steven M. Van Belleghem
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
3Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
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Jennifer E. James
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
4Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721
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Camilo Salazar
5Biology Program, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Carrera, 24 No 63C-69, Bogota D.C., 111221, Colombia
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Simon H. Martin
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
6Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK
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Sarah L. Barker
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
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Gilson R. P. Moreira
7Departamento de Zoologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
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Claire Mérot
8IBIS, Department of Biology, Université Laval, 1030 Avenue de la Médecine, Québec, Canada
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Mathieu Joron
9Centre d’Ecologie Fonctionnelle et Evolutive, UMR 5175 CNRS - Université de Montpellier - Université Paul Valéry Montpellier - EPHE, 1919 route de Mende, 34293 Montpellier, France
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Nicola J. Nadeau
10Department of Animal and Plant Sciences, University of Sheffield, Alfred Denny Building, Western bank, Sheffield S10 2TN, UK
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Florian M. Steiner
2Department of Ecology, University of Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria
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Chris D. Jiggins
1Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
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Abstract

Natural selection leaves distinct signatures in the genome that can reveal the targets and history of adaptive evolution. By analysing high-coverage genome sequence data from four major colour pattern loci sampled from nearly 600 individuals in 53 populations, we show pervasive selection on wing patterns across the Heliconius adaptive radiation. The strongest signatures correspond to loci with the greatest phenotypic effects, consistent with visual selection by predators, and are found in colour patterns with geographically restricted distributions. These recent sweeps are similar between co-mimics and indicate colour pattern turn-over events despite strong stabilizing selection. Using simulations we compare sweep signatures expected under classic hard sweeps with those resulting from adaptive introgression, an important aspect of mimicry evolution in Heliconius. Simulated recipient populations show a distinct ‘volcano’ pattern with peaks of increased genetic diversity around the selected target, consistent with patterns found in some populations. Our genomic data provide unprecedented insights into the recent history of selection across the Heliconius adaptive radiation.

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Posted June 28, 2019.
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Classic and introgressed selective sweeps shape mimicry loci across a butterfly adaptive radiation
Markus Moest, Steven M. Van Belleghem, Jennifer E. James, Camilo Salazar, Simon H. Martin, Sarah L. Barker, Gilson R. P. Moreira, Claire Mérot, Mathieu Joron, Nicola J. Nadeau, Florian M. Steiner, Chris D. Jiggins
bioRxiv 685685; doi: https://doi.org/10.1101/685685
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Classic and introgressed selective sweeps shape mimicry loci across a butterfly adaptive radiation
Markus Moest, Steven M. Van Belleghem, Jennifer E. James, Camilo Salazar, Simon H. Martin, Sarah L. Barker, Gilson R. P. Moreira, Claire Mérot, Mathieu Joron, Nicola J. Nadeau, Florian M. Steiner, Chris D. Jiggins
bioRxiv 685685; doi: https://doi.org/10.1101/685685

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