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      Cranial shape diversification in horses: variation and covariation patterns under the impact of artificial selection

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          Abstract

          The potential of artificial selection to dramatically impact phenotypic diversity is well known. Large-scale morphological changes in domestic species, emerging over short timescales, offer an accelerated perspective on evolutionary processes. The domestic horse ( Equus caballus) provides a striking example of rapid evolution, with major changes in morphology and size likely stemming from artificial selection. However, the microevolutionary mechanisms allowing to generate this variation in a short time interval remain little known. Here, we use 3D geometric morphometrics to quantify skull morphological diversity in the horse, and investigate modularity and integration patterns to understand how morphological associations contribute to cranial evolvability in this taxon. We find that changes in the magnitude of cranial integration contribute to the diversification of the skull morphology in horse breeds. Our results demonstrate that a conserved pattern of modularity does not constrain large-scale morphological variations in horses and that artificial selection has impacted mechanisms underlying phenotypic diversity to facilitate rapid shape changes. More broadly, this study demonstrates that studying microevolutionary processes in domestic species produces important insights into extant phenotypic diversity.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12862-021-01907-5.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            MorphoJ: an integrated software package for geometric morphometrics.

            Increasingly, data on shape are analysed in combination with molecular genetic or ecological information, so that tools for geometric morphometric analysis are required. Morphometric studies most often use the arrangements of morphological landmarks as the data source and extract shape information from them by Procrustes superimposition. The MorphoJ software combines this approach with a wide range of methods for shape analysis in different biological contexts. The program offers an integrated and user-friendly environment for standard multivariate analyses such as principal components, discriminant analysis and multivariate regression as well as specialized applications including phylogenetics, quantitative genetics and analyses of modularity in shape data. MorphoJ is written in Java and versions for the Windows, Macintosh and Unix/Linux platforms are freely available from http://www.flywings.org.uk/MorphoJ_page.htm. © 2010 Blackwell Publishing Ltd.
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              Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks

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                Author and article information

                Contributors
                hanot@shh.mpg.de
                Journal
                BMC Ecol Evol
                BMC Ecol Evol
                BMC Ecology and Evolution
                BioMed Central (London )
                2730-7182
                21 September 2021
                21 September 2021
                2021
                : 21
                : 178
                Affiliations
                [1 ]GRID grid.469873.7, ISNI 0000 0004 4914 1197, Department of Archaeology, , Max Planck Institute for the Science of Human History, ; Kahlaische Straße 10, 07745 Jena, Germany
                [2 ]GRID grid.511809.4, ISNI 0000 0000 9704 9716, National Museum of Mongolia, ; 1 Juulchin Street, Ulaanbaatar, 15160 Mongolia
                [3 ]GRID grid.418682.1, ISNI 0000 0001 2175 3974, Unité d’Anatomie Comparée, , Ecole Nationale Vétérinaire de l’Agroalimentaire et de l’Alimentation, Nantes Atlantique - ONIRIS, ; Route de Gachet, CS 40706, 44307 Nantes Cedex 03, France
                [4 ]GRID grid.7252.2, ISNI 0000 0001 2248 3363, Groupe d’Etudes Remodelage osseux et bioMateriaux (GEROM), Unité INSERM 922 LHEA/IRIS-IBS, , Université d’Angers, ; 4 rue Larrey CHU d’Angers, Angers, France
                [5 ]GRID grid.9018.0, ISNI 0000 0001 0679 2801, Central Natural Science Collections (ZNS), , Martin-Luther University Halle-Wittenberg, ; Domplatz 4, 06108 Halle (Saale), Germany
                [6 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, School of Archaeology, , University of Oxford, ; 1-2 South Parks Road, Oxford, OX1 3TG UK
                [7 ]Department of Archaeology, Ulaanbaatar State University, Luvsantseveen Street, 5th Khoroo, 15th Khoroolol, Bayanzurkh District, Ulaanbaatar, 13343 Mongolia
                [8 ]GRID grid.266190.a, ISNI 0000000096214564, University of Colorado-Boulder, Museum of Natural History, ; Boulder, CO USA
                Article
                1907
                10.1186/s12862-021-01907-5
                8456661
                34548035
                6f732821-e9c2-42cc-a6d7-0d5c0c36c64e
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 June 2021
                : 6 September 2021
                Funding
                Funded by: Max Planck Institute for the Science of Human History (2)
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                artificial selection,geometric morphometrics,horse,morphological integration,skull

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