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      Developmental pathways inferred from modularity, morphological integration and fluctuating asymmetry patterns in the human face

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          Abstract

          Facial asymmetries are usually measured and interpreted as proxies to developmental noise. However, analyses focused on its developmental and genetic architecture are scarce. To advance on this topic, studies based on a comprehensive and simultaneous analysis of modularity, morphological integration and facial asymmetries including both phenotypic and genomic information are needed. Here we explore several modularity hypotheses on a sample of Latin American mestizos, in order to test if modularity and integration patterns differ across several genomic ancestry backgrounds. To do so, 4104 individuals were analyzed using 3D photogrammetry reconstructions and a set of 34 facial landmarks placed on each individual. We found a pattern of modularity and integration that is conserved across sub-samples differing in their genomic ancestry background. Specifically, a signal of modularity based on functional demands and organization of the face is regularly observed across the whole sample. Our results shed more light on previous evidence obtained from Genome Wide Association Studies performed on the same samples, indicating the action of different genomic regions contributing to the expression of the nose and mouth facial phenotypes. Our results also indicate that large samples including phenotypic and genomic metadata enable a better understanding of the developmental and genetic architecture of craniofacial phenotypes.

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          Morphological Integration and Developmental Modularity

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            Perspective: Complex Adaptations and the Evolution of Evolvability

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              Morphometric integration and modularity in configurations of landmarks: tools for evaluating a priori hypotheses

              Identifying the modular components of a configuration of landmarks is an important task of morphometric analyses in evolutionary developmental biology. Modules are integrated internally by many interactions among their component parts, but are linked to one another only by few or weak interactions. Accordingly, traits within modules are tightly correlated with each other, but relatively independent of traits in other modules. Hypotheses concerning the boundaries of modules in a landmark configuration can therefore be tested by comparing the strength of covariation among alternative partitions of the configuration into subsets of landmarks. If a subdivision coincides with the true boundaries between modules, the correlations among subsets should be minimal. This article introduces Escoufier's RV coefficient and the multi-set RV coefficient as measures of the correlation between two or more subsets of landmarks. These measures can be compared between alternative partitions of the configuration into subsets. Because developmental interactions are tissue bound, it is sensible to require that modules should be spatially contiguous. I propose a criterion for spatial contiguity for sets of landmarks using an adjacency graph. The new methods are demonstrated with data on shape of the wing in Drosophila melanogaster and the mandible of the house mouse.
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                Author and article information

                Contributors
                rolando@cenpat-conicet.gob.ar
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 January 2018
                17 January 2018
                2018
                : 8
                : 963
                Affiliations
                [1 ]ISNI 0000 0001 2159 0001, GRID grid.9486.3, Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, ; Ciudad de México, Mexico
                [2 ]ISNI 0000 0001 1945 2152, GRID grid.423606.5, Instituto Patagónico de Ciencias Sociales y Humanas. Centro Nacional Patagónico, CONICET, ; Puerto Madryn, Argentina
                [3 ]GRID grid.7080.f, Departament de Biologia Animal, de Biologia Vegetal i d’Ecologia, Facultat de Biociències, , Universitat Autònoma de Barcelona, Avinguda de l’Eix Central, Edifici C, ; E-08193 Bellaterra (Cerdanyola del Vallès), Spain
                [4 ]ISNI 0000 0001 2169 9197, GRID grid.462439.e, Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, ; Ciudad de México, Mexico
                [5 ]Superintendência da Polícia Técnico-Científica do Estado de São Paulo. Equipe de Perícias Criminalísticas de Ourinhos, São Paulo, Brazil
                [6 ]ISNI 0000000121901201, GRID grid.83440.3b, Department of Genetics, , Evolution and Environment, and UCL Genetics Institute, University College London, ; London, UK
                [7 ]ISNI 0000 0001 2169 9197, GRID grid.462439.e, Licenciatura en Antropología Física, Escuela Nacional de Antropología e Historia, ; Ciudad de México, Mexico
                [8 ]ISNI 0000 0001 2179 0636, GRID grid.412182.c, Departamento de Tecnología Médica, , Facultad de Ciencias de la Salud, Universidad de Tarapacá, ; Arica, Chile
                [9 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Departamento de Genética e Biologia Evolutiva, , Instituto de Biociências, Universidade de São Paulo, ; São Paulo, Brazil
                [10 ]ISNI 0000 0001 2159 0001, GRID grid.9486.3, Posgrado en Antropología, Instituto de Investigaciones Antropológicas, Universidad Nacional Autónoma de México, ; Ciudad de México, Mexico
                [11 ]ISNI 0000 0000 8882 5269, GRID grid.412881.6, Universidad de Antioquia, ; Medellín, Colombia
                [12 ]ISNI 0000 0001 0673 9488, GRID grid.11100.31, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, ; Lima, Peru
                [13 ]ISNI 0000 0001 2200 7498, GRID grid.8532.c, Departamento de Genética, , Instituto de Biociências, Universidade Federal do Rio Grande do Sul, ; Porto Alegre, Brazil
                [14 ]ISNI 0000 0001 2159 0001, GRID grid.9486.3, Facultad de Química, UNAM, ; Mexico City, Mexico
                [15 ]Facultad Instituto de Alta Investigación Universidad de Tarapacá, Programa de Genética Humana ICBM Facultad de Medicina Universidad de Chile y Centro de Investigaciones del Hombre en el Desierto, Arica, Chile
                [16 ]ISNI 0000 0000 8882 5269, GRID grid.412881.6, Departamento de Antropología, , Facultad de Ciencias Sociales y Humanas. Universidad de Antioquia, ; Medellín, Colombia
                [17 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, MOE Key Laboratory of Contemporary Anthropology, Fudan University, ; Shanghai, China
                [18 ]ISNI 0000 0001 2176 4817, GRID grid.5399.6, Aix Marseille Univ, CNRS, EFS, ADES, ; Marseille, France
                Author information
                http://orcid.org/0000-0002-1173-4494
                http://orcid.org/0000-0001-6996-2732
                Article
                19324
                10.1038/s41598-018-19324-y
                5772513
                29343858
                fba70398-a4dd-4d3d-a1bd-d99de08311f1
                © The Author(s) 2018

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 September 2017
                : 15 December 2017
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