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      Wing bone geometry reveals active flight in Archaeopteryx

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          Abstract

          Archaeopteryx is an iconic fossil taxon with feathered wings from the Late Jurassic of Germany that occupies a crucial position for understanding the early evolution of avian flight. After over 150 years of study, its mosaic anatomy unifying characters of both non-flying dinosaurs and flying birds has remained challenging to interpret in a locomotory context. Here, we compare new data from three Archaeopteryx specimens obtained through phase-contrast synchrotron microtomography to a representative sample of archosaurs employing a diverse array of locomotory strategies. Our analyses reveal that the architecture of Archaeopteryx’s wing bones consistently exhibits a combination of cross-sectional geometric properties uniquely shared with volant birds, particularly those occasionally utilising short-distance flapping. We therefore interpret that Archaeopteryx actively employed wing flapping to take to the air through a more anterodorsally posteroventrally oriented flight stroke than used by modern birds. This unexpected outcome implies that avian powered flight must have originated before the latest Jurassic.

          Abstract

          Archaeopteryx had a mix of traits seen in non-flying dinosaurs and flying birds, leading to debate on whether it had powered flight. Here, Voeten et al. compare wing bone architecture from Archaeopteryx and both flying and non-flying archosaurs, supporting that Archaeopteryx had powered flight but with a different stroke than that of modern birds.

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          Size-correction and principal components for interspecific comparative studies.

          Phylogenetic methods for the analysis of species data are widely used in evolutionary studies. However, preliminary data transformations and data reduction procedures (such as a size-correction and principal components analysis, PCA) are often performed without first correcting for nonindependence among the observations for species. In the present short comment and attached R and MATLAB code, I provide an overview of statistically correct procedures for phylogenetic size-correction and PCA. I also show that ignoring phylogeny in preliminary transformations can result in significantly elevated variance and type I error in our statistical estimators, even if subsequent analysis of the transformed data is performed using phylogenetic methods. This means that ignoring phylogeny during preliminary data transformations can possibly lead to spurious results in phylogenetic statistical analyses of species data.
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            Phylogenetic Analysis of Covariance by Computer Simulation

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              A database of vertebrate longevity records and their relation to other life-history traits.

              Longevity is a major characteristic of animals that has long fascinated scientists. In this work, we present a comprehensive database of animal longevity records and related life-history traits entitled AnAge, which we compiled and manually curated from an extensive literature. AnAge started as a collection of longevity records, but has since been expanded to include quantitative data for numerous other life-history traits, including body masses at different developmental stages, reproductive data such as age at sexual maturity and measurements of reproductive output, and physiological traits related to metabolism. AnAge features over 4000 vertebrate species and is a central resource for applying the comparative method to studies of longevity and life-history evolution across the tree of life. Moreover, by providing a reference value for longevity and other life-history traits, AnAge can prove valuable to a broad range of biologists working in evolutionary biology, ecology, zoology, physiology and conservation biology. AnAge is freely available online (http://genomics.senescence.info/species/).

                Author and article information

                Contributors
                dennis.voeten01@upol.cz
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                13 March 2018
                13 March 2018
                2018
                : 9
                : 923
                Affiliations
                [1 ]ISNI 0000 0004 0641 6373, GRID grid.5398.7, European Synchrotron Radiation Facility, ; 71 Avenue des Martyrs, CS-40220, 38043 Grenoble Cedex, France
                [2 ]ISNI 0000 0001 1245 3953, GRID grid.10979.36, Department of Zoology and Laboratory of Ornithology, , Palacký University, ; 17. listopadu 50, 771 46 Olomouc, Czech Republic
                [3 ]ISNI 0000 0004 0366 7783, GRID grid.483106.8, Sorbonne Université, , CNRS-INSU, Institut des Sciences de la Terre Paris, ; ISTeP UMR 7193, F-75005 Paris, France
                [4 ]ISNI 0000 0001 2191 9284, GRID grid.410368.8, CNRS, Laboratoire d’éthologie animale et humaine, , Université de Rennes 1, Université de Caen Normandie, ; 263 Avenue du Général Leclerc, 35042 Rennes, France
                [5 ]Bürgermeister-Müller-Museum, Bahnhofstrasse 8, 91807 Solnhofen, Germany
                [6 ]ISNI 0000 0001 1093 3398, GRID grid.461916.d, Bayerische Staatssammlung für Paläontologie und Geologie, ; Richard-Wagner-Str. 10, D-80333 München, Germany
                [7 ]ISNI 0000 0004 1936 9457, GRID grid.8993.b, Science for Life Laboratory and Uppsala University, Subdepartment of Evolution and Development, Department of Organismal Biology, , Evolutionary Biology Centre, ; Norbyvägen 18A, 752 36 Uppsala, Sweden
                Author information
                http://orcid.org/0000-0002-0661-3882
                http://orcid.org/0000-0002-5962-1683
                http://orcid.org/0000-0002-3611-6836
                Article
                3296
                10.1038/s41467-018-03296-8
                5849612
                29535376
                6986bea4-8cf3-402d-bb2e-9720fdcded4b
                © 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
                : 30 July 2017
                : 31 January 2018
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