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      Species Richness, Molecular Taxonomy and Biogeography of the Radicine Pond Snails (Gastropoda: Lymnaeidae) in the Old World

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          Abstract

          The radicine pond snails represent a species-rich and widely distributed group, many species of which are key vectors of human and animal trematodoses. Here we clarify the taxonomy, distribution and evolutionary biogeography of the radicine lymnaeids in the Old World based on the most comprehensive multi-locus molecular dataset sampled to date. We show that the subfamily Amphipepleinae is monophyletic and contains at least ten genus-level clades: Radix Montfort, 1810, Ampullaceana Servain, 1881, Peregriana Servain, 1881, Tibetoradix Bolotov, Vinarski & Aksenova gen. nov., Kamtschaticana Kruglov & Starobogatov, 1984, Orientogalba Kruglov & Starobogatov, 1985, Cerasina Kobelt, 1881, Myxas G. B. Sowerby I, 1822, Bullastra Bergh, 1901, and Austropeplea Cotton, 1942. With respect to our phylogeny, species-delimitation model and morphological data, the Old World fauna includes 35 biological species of radicines. Tibet and Eastern Europe harbor the richest faunas, while East Asia and Africa appear to be the most species-poor areas. The radicine clade could have originated near the Cretaceous – Paleocene boundary. The Miocene great lakes in Eurasia seems to be the most important evolutionary hotspots shaping spatial patterns of recent species richness. Finally, we present the first DNA barcode reference library for the reliable molecular identification of species within this group.

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          RASP (Reconstruct Ancestral State in Phylogenies): a tool for historical biogeography.

          We announce the release of Reconstruct Ancestral State in Phylogenies (RASP), a user-friendly software package for inferring historical biogeography through reconstructing ancestral geographic distributions on phylogenetic trees. RASP utilizes the widely used Statistical-Dispersal Vicariance Analysis (S-DIVA), the Dispersal-Extinction-Cladogenesis (DEC) model (Lagrange), a Statistical DEC model (S-DEC) and BayArea. It provides a graphical user interface (GUI) to specify a phylogenetic tree or set of trees and geographic distribution constraints, draws pie charts on the nodes of a phylogenetic tree to indicate levels of uncertainty, and generates high-quality exportable graphical results. RASP can run on both Windows and Mac OS X platforms. All documentation and source code for RASP is freely available at http://mnh.scu.edu.cn/soft/blog/RASP.
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            The Miocene Climatic Optimum: evidence from ectothermic vertebrates of Central Europe

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              Sphaeriid and corbiculid clams represent separate heterodont bivalve radiations into freshwater environments.

              Nine families of bivalve molluscs have undergone successful radiations in freshwater habitats, including three heterodont taxa: the Sphaeriidae, Corbiculidae, and Dreissenidae. Although the phylogenetic relationships of these freshwater heterodont families are controversial, most workers place the first two in the superfamily Corbiculoidea and assume that they represent a monophyletic grouping. We have tested competing phylogenetic hypotheses for the Corbiculoidea by constructing a representative molecular phylogeny, based on domains D1-D3 of the nuclear large subunit 28S rDNA, for 18 heterodont bivalves and for two oyster outgroup taxa. Our results do not support the monophyly of the Corbiculoidea and are consistent with the hypothesis that all three families of freshwater heterodonts represent independent colonization events by marine ancestors. Similarities in developmental mode specializations exhibited by some sphaeriids and corbiculids, such as sequential direct-developing broods, represent convergent adaptations to the freshwater environment. The corbiculid taxa form a clade with venerid and mactrid outgroups but we were not able to identify a putative marine outgroup for the sphaeriids. Copyright 2000 Academic Press.
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                Author and article information

                Contributors
                inepras@yandex.ru
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 July 2018
                25 July 2018
                2018
                : 8
                : 11199
                Affiliations
                [1 ]ISNI 0000 0004 0497 5323, GRID grid.462706.1, Northern Arctic Federal University, ; Arkhangelsk, Russia
                [2 ]ISNI 0000 0001 2192 9124, GRID grid.4886.2, Federal Center for Integrated Arctic Research, Russian Academy of Sciences, ; Arkhangelsk, Russia
                [3 ]ISNI 0000 0001 2289 6897, GRID grid.15447.33, Saint Petersburg State University, ; Saint Petersburg, Russia
                [4 ]ISNI 0000 0001 2342 9668, GRID grid.14476.30, Moscow State University, ; 119992 Moscow, Russia
                Author information
                http://orcid.org/0000-0002-3878-4192
                Article
                29451
                10.1038/s41598-018-29451-1
                6060155
                30046044
                a047cf18-9a3b-4c88-bdf5-49e9eed869af
                © 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
                : 2 May 2018
                : 12 July 2018
                Funding
                Funded by: This work was partly funded by grants from the Russian Ministry of Education and Science (projects no. 6.2343.2017/4.6 and 6.1352.2017/4.6), the President of Russia Grant Council (project No. MD-2394.2017.4), Federal Agency for Scientific Organizations (project nos. 0409-2015-0143, 0409-2018-0152, and 0409-2016-0022), Russian Foundation for Basic Research (no. 16-34-00638, 17-45-290066, 17-44-290016, and 16-34-00125), and Northern Arctic Federal University.
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