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      Eocene aposematic patterns persist in modern European Lycidae beetles despite the absence of co-mimics

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          Summary

          Ancient aposematic signals might have evolved under different ecological circumstances. Using European Cenozoic amber and phylogenetic reconstruction, we evaluated the evolution of net-winged beetle aposematism. We describe Priabonian Hiekeolycus winkleri sp. nov. from Baltic amber, review known fossil species, and suggest earlier high diversity and morphological conservativeness of European Lycidae since the Eocene. We hypothesize the presence of red and black/red aposematic patterns in Eocene Europe. The analyses suggest the Oligocene to Miocene dispersal of additional species from East Asia and their advergence to autochthonous patterns. Recently dispersed lycids have retained similarities with their East Asian relatives. Net-winged beetles are rare in Europe after the Quaternary climatic oscillations, and we hypothesize a currently relaxed selection for shared aposematic signals. Neophobia, and eventually inborn rejection of brightly colored prey, putatively preserved ancient aposematism under changing conditions. Evidence from paleontology and phylogenetics can provide insight into the long-term persistence of old adaptations under changing conditions.

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          Highlights

          • New net-winged beetle is described from Eocene amber

          • Diversified Eocene net-winged beetles formed mimicry complexes

          • Eocene red and red/black patterns were adopted by later dispersing groups

          • Ancient aposematic signals persist in contrast with lack of co-mimics

          Abstract

          Zoology; Evolutionary biology; Paleobiology

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

            Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                20 February 2023
                17 March 2023
                20 February 2023
                : 26
                : 3
                : 106217
                Affiliations
                [1 ]Biodiversity and Molecular Evolution, Czech Advanced Technology Research Institute, Slechtitelu 27, 779 00 Olomouc, Czech Republic
                [2 ]Insect Centre, Donetskaya 13–326, 109651 Moscow, Russia
                [3 ]A.N. Severtsov Institute of Ecology and Evolution RAS, 33 Leninsky Pr., 119071 Moscow, Russia
                [4 ]I.I. Schmalhausen Institute of Zoology, Bogdan Khmelnitski Street15, 01030 Kiev, Ukraine
                [5 ]A.A. Borissiak Paleontological Institute RAS, 123 Profsoyuznaya Street, 117647 Moscow, Russia
                [6 ]Hokkaido University Museum, Hokkaido University, Kita 10, Nishi 8, Kita-ku, Sapporo 060-0810, Japan
                Author notes
                []Corresponding author s.yamamoto.64@ 123456gmail.com
                [∗∗ ]Corresponding author ladislav.bocak@ 123456upol.cz
                [7]

                These authors contributed equally

                [8]

                Senior author

                [9]

                Lead contact

                Article
                S2589-0042(23)00294-8 106217
                10.1016/j.isci.2023.106217
                10009048
                36922999
                08246356-49fc-4fb2-ad29-5083c9bf6182
                © 2023 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 13 September 2022
                : 4 January 2023
                : 13 February 2023
                Categories
                Article

                zoology,evolutionary biology,paleobiology
                zoology, evolutionary biology, paleobiology

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