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dc.contributor.authorLouis, Marie
dc.contributor.authorGalimberti, Marco
dc.contributor.authorArcher, Frederick
dc.contributor.authorBerrow, Simon
dc.contributor.authorBrownlow, Andrew
dc.contributor.authorFallon, Ramon
dc.contributor.authorNykänen, Milaja
dc.contributor.authorO'Brien, Joanne
dc.contributor.authorRobertson, Kelly M.
dc.contributor.authorRosel, Patricia E.
dc.contributor.authorSimon-Bouhet, Benoit
dc.contributor.authorWegmann, Daniel
dc.contributor.authorFontaine, Michael C.
dc.contributor.authorFoote, Andrew D.
dc.contributor.authorGaggiotti, Oscar E.
dc.date.accessioned2021-11-03T12:22:00Z
dc.date.available2021-11-03T12:22:00Z
dc.date.copyright2021
dc.date.issued2021-10-27
dc.identifier.citationM. Louis, M. Galimberti, F. Archer, S. Berrow, A. Brownlow, R. Fallon, M. Nykänen, J. O’Brien, K. M. Roberston, P. E. Rosel, B. Simon-Bouhet, D. Wegmann, M. C. Fontaine, A. D. Foote, O. E. Gaggiotti, Selection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphins. Sci. Adv. 7, eabg1245 (2021).en_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3771
dc.description.abstractStudying repeated adaptation can provide insights into the mechanisms allowing species to adapt to novel environments. Here, we investigate repeated evolution driven by habitat specialization in the common bottlenose dolphin. Parapatric pelagic and coastal ecotypes of common bottlenose dolphins have repeatedly formed across the oceans. Analyzing whole genomes of 57 individuals, we find that ecotype evolution involved a complex reticulated evolutionary history. We find parallel linked selection acted upon ancient alleles in geographically distant coastal populations, which were present as standing genetic variation in the pelagic populations. Candidate loci evolving under parallel linked selection were found in ancient tracts, suggesting recurrent bouts of selection through time. Therefore, despite the constraints of small effective population size and long generation time on the efficacy of selection, repeated adaptation in long-lived social species can be driven by a combination of ecological opportunities and selection acting on ancestral standing genetic variation.en_US
dc.formatapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherAmerican Association for the Advancement of Scienceen_US
dc.relation.ispartofSciencesAdvancesen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSelection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphinsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.contributor.affiliationScottish Oceans Institute, University of St Andrews, East Sands, St Andrews KY16 8LB, Scotland, UKen_US
dc.contributor.affiliationCentre d’Etudes Biologiques de Chize, La Rochelle Université, 17000 La Rochelle, Franceen_US
dc.contributor.affiliationGroningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, PO Box 11103 CC, Groningen, Netherlandsen_US
dc.contributor.affiliationGlobe Institute, University of Copenhagen, Øster Voldgade 5, 1350 Copenhagen, Denmarken_US
dc.contributor.affiliationDepartment of Biology, University of Fribourg, Fribourg 1700, Switzerlanden_US
dc.contributor.affiliationSwiss Institute of Bioinformatics, Fribourg 1700, Switzerlanden_US
dc.contributor.affiliationNational Marine Fisheries Service, Southwest Fisheries Science Center, NOAA, 8901 La Jolla Shores Drive, La Jolla, CA 92037, USAen_US
dc.contributor.affiliationScripps Institution of Oceanography, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USAen_US
dc.contributor.affiliationIrish Whale and Dolphin Group, Kilrush, Co Clare, Irelanden_US
dc.contributor.affiliationMarine and Freshwater Research Centre, Department of Natural Sciences, School of Science and Computing, Galway-Mayo Institute of Technology, Dublin Road, H91 T8NW Galway, Irelanden_US
dc.contributor.affiliationScottish Marine Animal Stranding Scheme, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UKen_US
dc.contributor.affiliationSchool of Medicine, University of St Andrews, North Haugh, St Andrews, Fife KY16 9TF, Scotland, UKen_US
dc.contributor.affiliationUniversity College Cork, Cork, Irelanden_US
dc.contributor.affiliationNational Marine Fisheries Service, Southeast Fisheries Science Center, NOAA, 646 Cajundome Boulevard, Lafayette, LA 70506, USAen_US
dc.contributor.affiliationMIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, Franceen_US
dc.contributor.affiliationCentre de Recherche en Écologie et Évolution de la Santé (CREES), Montpellier, Franceen_US
dc.contributor.affiliationMolecular Ecology and Evolution Bangor, Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, UKen_US
dc.contributor.affiliationDepartment of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim 7012, Norwayen_US
dc.contributor.sponsorFunding for sequencing was provided by the Total Foundation awarded to M.L., the University of Groningen awarded to M.C.F., and the Marine Alliance for Science and Technology for Scotland and The Russell Trust awarded to O.E.G. M.L. was supported by a Fyssen Fellowship, Total Foundation, Systematics Research Fund, Godfrey Hewitt mobility award from the European Society for Evolutionary Biology (ESEB), People’s Trust for Endangered Species, Lerner-Gray Grants for Marine Research from the American Museum of Natural History, and the University of St Andrews. M.G. was funded through a Swiss National Science Foundation grant (31003A_173062) to D.W. A.D.F. was supported by European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 663830. Bioinformatics and computational biology analyses were supported by the University of St Andrews Bioinformatics Unit, which is funded by a Wellcome Trust ISSF award (grant 105621/Z/14/Z). Author contributions: M.L. initiated the study. M.L., M.C.F., A.D.F., and O.E.G. conceived the analyses. F.A., S.B., A.B., J.O., K.M.R., and P.E.R. collected the samples. K.M.R., P.E.R., and M.C.F. performed the DNA extractions. M.L., M.G., M.N., R.F., B.S.-B., M.C.F., A.D.F., and O.E.G. ran the analyses, and A.D.F., O.E.G., and M.C.F. provided supervision. M.L. wrote the manuscript with input from all coauthors. Competing interests: The authors declare that they have no competing interests. Data and materials availability: Biosample and SRA accession numbers are provided in table S1; data are part of the Bioproject PRJNA724031: www.ncbi.nlm.nih.gov/bioproject/724031. Input files are available on the DataSuds repository: https://doi.org/10.23708/Q2MYHE. Custom codes to generate the input files for the ancient tract analysis can be found at https://github.com/besibo/GhostAncestry.en_US
dc.description.peerreviewyesen_US
dc.identifier.doi10.1126/sciadv.abg1245en_US
dc.identifier.issue44en_US
dc.identifier.urlhttps://www.science.org/doi/10.1126/sciadv.abg1245en_US
dc.identifier.volume07en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentMarine and Freshwater Research Centreen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US


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