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      Continental-scale patterns of hyper-cryptic diversity within the freshwater model taxon Gammarus fossarum (Crustacea, Amphipoda)

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          Abstract

          Traditional morphological diagnoses of taxonomic status remain widely used while an increasing number of studies show that one morphospecies might hide cryptic diversity, i.e. lineages with unexpectedly high molecular divergence. This hidden diversity can reach even tens of lineages, i.e. hyper cryptic diversity. Even well-studied model-organisms may exhibit overlooked cryptic diversity. Such is the case of the freshwater crustacean amphipod model taxon Gammarus fossarum. It is extensively used in both applied and basic types of research, including biodiversity assessments, ecotoxicology and evolutionary ecology. Based on COI barcodes of 4926 individuals from 498 sampling sites in 19 European countries, the present paper shows (1) hyper cryptic diversity, ranging from 84 to 152 Molecular Operational Taxonomic Units, (2) ancient diversification starting already 26 Mya in the Oligocene, and (3) high level of lineage syntopy. Even if hyper cryptic diversity was already documented in G. fossarum, the present study increases its extent fourfold, providing a first continental-scale insight into its geographical distribution and establishes several diversification hotspots, notably south-eastern and central Europe. The challenges of recording hyper cryptic diversity in the future are also discussed.

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          Cryptic species as a window on diversity and conservation.

          The taxonomic challenge posed by cryptic species (two or more distinct species classified as a single species) has been recognized for nearly 300 years, but the advent of relatively inexpensive and rapid DNA sequencing has given biologists a new tool for detecting and differentiating morphologically similar species. Here, we synthesize the literature on cryptic and sibling species and discuss trends in their discovery. However, a lack of systematic studies leaves many questions open, such as whether cryptic species are more common in particular habitats, latitudes or taxonomic groups. The discovery of cryptic species is likely to be non-random with regard to taxon and biome and, hence, could have profound implications for evolutionary theory, biogeography and conservation planning.
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            Rapid morphological radiation and convergence among races of the butterfly Heliconius erato inferred from patterns of mitochondrial DNA evolution.

            A V Brower (1994)
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              Cryptic animal species are homogeneously distributed among taxa and biogeographical regions

              Background Cryptic species are two or more distinct but morphologically similar species that were classified as a single species. During the past two decades we observed an exponential growth of publications on cryptic species. Recently published reviews have demonstrated cryptic species have profound consequences on many biological disciplines. It has been proposed that their distribution is non-random across taxa and biomes. Results We analysed a literature database for the taxonomic and biogeographical distribution of cryptic animal species reports. Results from regression analysis indicate that cryptic species are almost evenly distributed among major metazoan taxa and biogeographical regions when corrected for species richness and study intensity. Conclusion This indicates that morphological stasis represents an evolutionary constant and that cryptic metazoan diversity does predictably affect estimates of earth's animal diversity. Our findings have direct theoretical and practical consequences for a number of prevailing biological questions with regard to global biodiversity estimates, conservation efforts and global taxonomic initiatives.
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                Author and article information

                Contributors
                remi.wattier@u-bourgogne.fr
                michal.grabowski@biol.uni.lodz.pl
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                6 October 2020
                6 October 2020
                2020
                : 10
                : 16536
                Affiliations
                [1 ]GRID grid.5613.1, ISNI 0000 0001 2298 9313, UMR CNRS 6282 Biogéosciences, , Université Bourgogne Franche Comté, ; Dijon, France
                [2 ]GRID grid.10789.37, ISNI 0000 0000 9730 2769, Department of Invertebrate Zoology and Hydrobiology, , University of Lodz, ; Lodz, Poland
                [3 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Zoological Institute, , University of Basel, ; Basel, Switzerland
                [4 ]GRID grid.435238.b, ISNI 0000 0004 0522 3211, Institute of Ecology, Nature Research Centre, , Vilnius Nature Research Centre, Institute of Ecology, ; Vilnius, Lithuania
                [5 ]Department of Natural Sciences, Varaždin City Museum, Varaždin, Croatia
                [6 ]GRID grid.507621.7, Laboratoire d’écotoxicologie, , INRAE, UR RiverLy, ; Villeurbanne, France
                [7 ]GRID grid.29172.3f, ISNI 0000 0001 2194 6418, UMR CNRS 73602 LIEC, , Université de Lorraine, ; Metz, France
                [8 ]GRID grid.410368.8, ISNI 0000 0001 2191 9284, Univ Rennes, CNRS, ECOBIO-UMR 6553, ; 35000 Rennes, France
                [9 ]GRID grid.424739.f, ISNI 0000 0001 2159 1688, Department of Teacher Education Studies in Gospić, , University of Zadar, ; Gospić, Croatia
                [10 ]GRID grid.34429.38, ISNI 0000 0004 1936 8198, University of Guelph, Centre for Biodiversity Genomics, ; Guelph, ON Canada
                [11 ]GRID grid.8585.0, ISNI 0000 0001 2370 4076, Department of Genetics and Biosystematics, , University of Gdansk, ; Gdansk, Poland
                Article
                73739
                10.1038/s41598-020-73739-0
                7538970
                33024224
                ca0dd496-6cf4-4f36-b103-e32194f55dd4
                © The Author(s) 2020

                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 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/.

                History
                : 15 May 2020
                : 16 September 2020
                Funding
                Funded by: ANR MULTISTRESS
                Award ID: ANR-13-BSV7-0004
                Funded by: Polish Ministry of Science and Education
                Award ID: N N303 579439
                Award Recipient :
                Funded by: Internal funds of the University of Lodz
                Funded by: Short-Term Scientific Mission (STSM) of COST Action CA15219-Developing new genetic tools for bioassessment of aquatic ecosystems in Europe – DNAqua-Net
                Award ID: 39779
                Award Recipient :
                Funded by: ANR-14-CE21-0006 PROTEOGAM
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                biodiversity,biogeography,molecular ecology
                Uncategorized
                biodiversity, biogeography, molecular ecology

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