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dc.contributor.authorBrachmann, Matthew K.
dc.contributor.authorParsons, Kevin
dc.contributor.authorSkúlason, Skúli
dc.contributor.authorGaggiotti, Oscar
dc.contributor.authorFerguson, Moira
dc.date.accessioned2023-08-02T23:38:32Z
dc.date.available2023-08-02T23:38:32Z
dc.date.issued2022-08-03
dc.identifier.citationBrachmann , M K , Parsons , K , Skúlason , S , Gaggiotti , O & Ferguson , M 2022 , ' Variation in the genomic basis of parallel phenotypic and ecological divergence in benthic and pelagic morphs of Icelandic Arctic charr ( Salvelinus alpinus ) ' , Molecular Ecology , vol. Early View . https://doi.org/10.1111/mec.16625en
dc.identifier.issn0962-1083
dc.identifier.otherPURE: 280560693
dc.identifier.otherPURE UUID: 53e7e046-aae5-4c1c-9b9f-a6000ca1f78a
dc.identifier.otherRIS: urn:C25BC25B70650655552D2BC479E620B6
dc.identifier.otherORCID: /0000-0003-1827-1493/work/116910431
dc.identifier.otherScopus: 85135251765
dc.identifier.otherWOS: 000835802200001
dc.identifier.urihttp://hdl.handle.net/10023/28089
dc.description.abstractSympatric adaptive phenotypic divergence should be underlain by genomic differentiation between subpopulations. When divergence drives similar patterns of phenotypic and ecological variation within species we expect evolution to draw on common allelic variation. We investigated divergence histories and genomic signatures of adaptive divergence between benthic and pelagic morphs of Icelandic Arctic charr. Divergence histories for each of four populations were reconstructed using coalescent modelling and 14,187 single nucleotide polymorphisms. Sympatric divergence with continuous gene flow was supported in two populations while allopatric divergence with secondary contact was supported in one population; we could not differentiate between demographic models in the fourth population. We detected parallel patterns of phenotypic divergence along benthic-pelagic evolutionary trajectories among populations. Patterns of genomic differentiation between benthic and pelagic morphs were characterized by outlier loci in many narrow peaks of differentiation throughout the genome, which may reflect the eroding effects of gene flow on nearby neutral loci. We then used genome-wide association analyses to relate both phenotypic (body shape and size) and ecological (carbon and nitrogen stable isotopes) variation to patterns of genomic differentiation. Many peaks of genomic differentiation were associated with phenotypic and ecological variation in the three highly divergent populations, suggesting a genomic basis for adaptive divergence. We detected little evidence for a parallel genomic basis of differentiation as most regions and outlier loci were not shared among populations. Our results show that adaptive divergence can have varied genomic consequences in populations with relatively recent common origins, similar divergence histories, and parallel phenotypic divergence.
dc.language.isoeng
dc.relation.ispartofMolecular Ecologyen
dc.rightsCopyright © 2022 John Wiley & Sons Ltd. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1111/mec.16625.en
dc.subjectAdaptationen
dc.subjectPopulation genomicsen
dc.subjectFishen
dc.subjectResource polymorphismen
dc.subjectAdaptive divergenceen
dc.subjectParallel evolutionen
dc.subjectGC Oceanographyen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectMCPen
dc.subject.lccGCen
dc.subject.lccQH301en
dc.titleVariation in the genomic basis of parallel phenotypic and ecological divergence in benthic and pelagic morphs of Icelandic Arctic charr (Salvelinus alpinus)en
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1111/mec.16625
dc.description.statusPeer revieweden
dc.date.embargoedUntil2023-08-03


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