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      The first record of Caenis rivulorum (Ephemeroptera: Caenidae) from Japan

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          Abstract

          Background

          Caenis rivulorum Eaton, 1884 is widely distributed and has been reported from a wide range in the Palearctic Region.

          New information

          We report this species from Japan for the first time, from five localities of Hokkaido, based on morphology and molecular data.

          Related collections

          Most cited references43

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          Sudhir Kumar, Glen Stecher, Michael KaWah Li … (2018)
          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
          Article 0 comments Cited 9173 times – based on 0 reviews     Review now
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            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Lam-Tung Nguyen, Heiko Schmidt, Arndt von Haeseler … (2014)
            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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              ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

              Subha Kalyaanamoorthy, Bui Minh, Thomas Wong … (2017)
              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.
              Article 0 comments Cited 3893 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Tatsushi Takayanagi
                Journal
                Journal ID (nlm-ta): Biodivers Data J
                Journal ID (iso-abbrev): Biodivers Data J
                Journal ID (publisher-id): 1
                Journal ID (index): urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                Journal ID (aggregator): urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Title: Biodiversity Data Journal
                Publisher: Pensoft Publishers
                ISSN (Print): 1314-2836
                ISSN (Electronic): 1314-2828
                Publication date Collection: 2021
                Publication date (Electronic): 08 July 2021
                Volume: 9
                Electronic Location Identifier: e67413
                Affiliations
                [1 ] Systematic Entomology, Graduate School of Agriculture, Hokkaido University, Sapporo, Japan Systematic Entomology, Graduate School of Agriculture, Hokkaido University Sapporo Japan
                Author notes
                Corresponding author: Tatsushi Takayanagi ( salixalta@ 123456gmail.com ).

                Academic editor: Vesela Evtimova

                Author information
                https://orcid.org/0000-0001-6170-4296
                Article
                Publisher ID: 67413 Publisher-manuscript ID: 16587
                DOI: 10.3897/BDJ.9.e67413
                PMC ID: 8282597
                PubMed ID: 34305421
                SO-VID: 69bf257c-f58f-4b56-b22e-5b9851fec6e6
                Copyright © Tatsushi Takayanagi, Kazunori Yoshizawa
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 16 April 2021
                Date accepted : 24 June 2021
                Page count
                Figures: 6, Tables: 1, References: 38
                Categories
                Subject: Taxonomic Paper
                Subject: Animalia
                Subject: Zoology & Animal Biology
                Subject: Systematics
                Subject: Biodiversity & Conservation
                Subject: Cenozoic
                Subject: Asia

                Keywords: ephemeroptera ,mayflies, caenidae , caenis ,japan,hokkaido,coi
                Data availability:
                Keywords: ephemeroptera , mayflies, caenidae , caenis , japan, hokkaido, coi

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