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      Digital Three-Dimensional Imaging Techniques Provide New Analytical Pathways for Malacological Research

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          Resolving the evolutionary relationships of molluscs with phylogenomic tools.

          Molluscs (snails, octopuses, clams and their relatives) have a great disparity of body plans and, among the animals, only arthropods surpass them in species number. This diversity has made Mollusca one of the best-studied groups of animals, yet their evolutionary relationships remain poorly resolved. Open questions have important implications for the origin of Mollusca and for morphological evolution within the group. These questions include whether the shell-less, vermiform aplacophoran molluscs diverged before the origin of the shelled molluscs (Conchifera) or lost their shells secondarily. Monoplacophorans were not included in molecular studies until recently, when it was proposed that they constitute a clade named Serialia together with Polyplacophora (chitons), reflecting the serial repetition of body organs in both groups. Attempts to understand the early evolution of molluscs become even more complex when considering the large diversity of Cambrian fossils. These can have multiple dorsal shell plates and sclerites or can be shell-less but with a typical molluscan radula and serially repeated gills. To better resolve the relationships among molluscs, we generated transcriptome data for 15 species that, in combination with existing data, represent for the first time all major molluscan groups. We analysed multiple data sets containing up to 216,402 sites and 1,185 gene regions using multiple models and methods. Our results support the clade Aculifera, containing the three molluscan groups with spicules but without true shells, and they support the monophyly of Conchifera. Monoplacophora is not the sister group to other Conchifera but to Cephalopoda. Strong support is found for a clade that comprises Scaphopoda (tusk shells), Gastropoda and Bivalvia, with most analyses placing Scaphopoda and Gastropoda as sister groups. This well-resolved tree will constitute a framework for further studies of mollusc evolution, development and anatomy.
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            Animal Phylogeny and Its Evolutionary Implications*

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              Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies.

              The functional analysis of the rice genome has entered into a high-throughput stage, and a project named RICE2020 has been proposed to determine the function of every gene in the rice genome by the year 2020. However, as compared with the robustness of genetic techniques, the evaluation of rice phenotypic traits is still performed manually, and the process is subjective, inefficient, destructive and error-prone. To overcome these limitations and help rice phenomics more closely parallel rice genomics, reliable, automatic, multifunctional, and high-throughput phenotyping platforms should be developed. In this article, we discuss the key plant phenotyping technologies, particularly photonics-based technologies, and then introduce their current applications in rice (wheat or barley) phenomics. We also note the major challenges in rice phenomics and are confident that these reliable high-throughput phenotyping tools will give plant scientists new perspectives on the information encoded in the rice genome. Copyright © 2013 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                American Malacological Bulletin
                American Malacological Bulletin
                American Malacological Society
                0740-2783
                December 1 2018
                December 1 2018
                : 36
                : 2
                : 248
                Affiliations
                [1 ]Institut für Evolutionsbiologie und Ökologie, Rheinische Friedrich-Wilhelms-Universität, An der Imme
                [2 ]Integrative Ökophysiologie, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
                [3 ]Marine Research Facility, Woods Hole Oceanographic Institution, 266 Woods Hole Road, Woods Hole, Mas
                [4 ]Center for Brain Science, Harvard University, 52 Oxford Street, Cambridge, Massachusetts 02138, U.S.
                [5 ]Department of Experimental Neurology and Center for Stroke Research Berlin, Charité-Universitätsmedi
                [6 ]Institut für Klinische Radiologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, 48149 M
                [7 ]MR-Physik, Deutsches Zentrum für Neurodegenerative Erkrankungen, Sigmund-Freud-Straße 27, 53127 Bonn
                [8 ]Molekulare Bildgebung, Leibniz-Forschungsinstitut für Molekulare Pharmakologie, Robert-Rössle-Straße
                Article
                10.4003/006.036.0205
                f22b80bb-df9b-4f32-8491-11095bfae487
                © 2018
                History

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