12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Comparative mitogenomics elucidates the population genetic structure of Amblyomma testudinarium in Japan and a closely related Amblyomma species in Myanmar

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Ticks are the second most important vector capable of transmitting diseases affecting the health of both humans and animals. Amblyomma testudinarium Koch 1844 (Acari: Ixodidae), is a hard tick species having a wide geographic distribution in Asia. In this study, we analyzed the composition of A. testudinarium whole mitogenomes from various geographical regions in Japan and investigated the population structure, demographic patterns, and phylogeographic relationship with other ixodid species. In addition, we characterized a potentially novel tick species closely related to A. testudinarium from Myanmar. Phylogeographic inference and evolutionary dynamics based on the 15 mitochondrial coding genes supported that A. testudinarium population in Japan is resolved into a star‐like haplogroup and suggested a distinct population structure of A. testudinarium from Amami island in Kyushu region. Correlation analysis using Mantel test statistics showed that no significant correlation was observed between the genetic and geographic distances calculated between the A. testudinarium population from different localities in Japan. Finally, demographic analyses, including mismatch analysis and Tajima’s D test, suggested a possibility of recent population expansion occurred within Japanese haplogroup after a bottleneck event. Although A. testudinarium has been considered widespread and common in East and Southeast Asia, the current study suggested that potentially several cryptic Amblyomma spp. closely related to A. testudinarium are present in Asia.

          Related collections

          Most cited references89

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

              PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the original publication (Guindon S., Gascuel O. 2003. A simple, fast and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696-704), PhyML has been widely used (>2500 citations in ISI Web of Science) because of its simplicity and a fair compromise between accuracy and speed. In the meantime, research around PhyML has continued, and this article describes the new algorithms and methods implemented in the program. First, we introduce a new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves. The parsimony criterion is used here to filter out the least promising topology modifications with respect to the likelihood function. The analysis of a large collection of real nucleotide and amino acid data sets of various sizes demonstrates the good performance of this method. Second, we describe a new test to assess the support of the data for internal branches of a phylogeny. This approach extends the recently proposed approximate likelihood-ratio test and relies on a nonparametric, Shimodaira-Hasegawa-like procedure. A detailed analysis of real alignments sheds light on the links between this new approach and the more classical nonparametric bootstrap method. Overall, our tests show that the last version (3.0) of PhyML is fast, accurate, stable, and ready to use. A Web server and binary files are available from http://www.atgc-montpellier.fr/phyml/.
                Bookmark

                Author and article information

                Contributors
                wessam@czc.hokudai.ac.jp
                m.abdallah@vetmed.hokudai.ac.jp
                ryo.nakao@vetmed.hokudai.ac.jp
                Journal
                Evol Appl
                Evol Appl
                10.1111/(ISSN)1752-4571
                EVA
                Evolutionary Applications
                John Wiley and Sons Inc. (Hoboken )
                1752-4571
                23 June 2022
                July 2022
                : 15
                : 7 ( doiID: 10.1111/eva.v15.7 )
                : 1062-1078
                Affiliations
                [ 1 ] Laboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine Hokkaido University Sapporo Japan
                [ 2 ] Division of Bioinformatics, International Institute for Zoonosis Control Hokkaido University Sapporo Japan
                [ 3 ] Department of Animal Medicine, Faculty of Veterinary Medicine South Valley University Qena Egypt
                [ 4 ] Department of Food and Drug Administration Ministry of Health Nay Pyi Taw Myanmar
                [ 5 ] Department of Veterinary Pathobiology, Faculty of Veterinary Medicine Lilongwe University of Agriculture and Natural Resources Lilongwe Malawi
                [ 6 ] Department of Hygiene and Zoonoses, Faculty of Veterinary Medicine Mansoura University Mansoura Egypt
                [ 7 ] Division of International Research Promotion, International Institute for Zoonosis Control Hokkaido University Sapporo Japan
                [ 8 ] Division of Risk Analysis and Management, International Institute for Zoonosis Control Hokkaido University Sapporo Japan
                [ 9 ] International Collaboration Unit, International Institute for Zoonosis Control Hokkaido University Sapporo Japan
                [ 10 ] One Health Research Center Hokkaido University Sapporo Japan
                [ 11 ] Department of International Relations and Information Technology University of Veterinary Science Nay Pyi Taw Myanmar
                [ 12 ] Department of Pharmacology and Parasitology University of Veterinary Science Nay Pyi Taw Myanmar
                [ 13 ] Department of Parasitology, School of Chemistry and Molecular Biosciences The University of Queensland Brisbane Queensland Australia
                Author notes
                [*] [* ] Correspondence

                Ryo Nakao and Mohamed Abdallah Mohamed Moustafa, Laboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Hokkaido 060‐0818, Japan.

                Email: ryo.nakao@ 123456vetmed.hokudai.ac.jp and m.abdallah@ 123456vetmed.hokudai.ac.jp

                Author information
                https://orcid.org/0000-0002-9088-9207
                https://orcid.org/0000-0002-9413-694X
                https://orcid.org/0000-0002-3105-7603
                Article
                EVA13426 EVA-2022-044-OA.R1
                10.1111/eva.13426
                9309438
                35899249
                89a6cb5e-9236-4849-88e0-c105ef25fd8a
                © 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 April 2022
                : 13 February 2022
                : 29 May 2022
                Page count
                Figures: 8, Tables: 6, Pages: 17, Words: 10532
                Funding
                Funded by: Japan Agency for Medical Research and Development , doi 10.13039/100009619;
                Award ID: 20wm0225016j0001
                Funded by: Japan Society for the Promotion of Science , doi 10.13039/501100001691;
                Award ID: 17H04638
                Award ID: 19F19097
                Award ID: 19H03118
                Award ID: 20K21358
                Award ID: 20KK0151
                Award ID: 22H02505
                Award ID: Bilateral Open Partnership Joint Research Project
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                July 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:25.07.2022

                Evolutionary Biology
                amblyomma,cryptic species,mitogenome,phylogeography,population expansion,ticks
                Evolutionary Biology
                amblyomma, cryptic species, mitogenome, phylogeography, population expansion, ticks

                Comments

                Comment on this article