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      Migration‐tracking integrated phylogeography supports long‐distance dispersal‐driven divergence for a migratory bird species in the Japanese archipelago

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          Abstract

          Long‐distance dispersal (LDD) outside a species' breeding range contributes to genetic divergence. Previous phylogeographic studies of migratory bird species have not discriminated LDD from vicariant speciation in their diversification process. We conducted an integrative phylogeographic approach to test the LDD hypothesis, which predicts that a Japanese migratory bird subspecies diverged from a population in the coastal region of the East China Sea (CRECS) via LDD over the East China Sea (ECS). Haplotype networks of both mitochondrial and nuclear genes of its three subspecies were reconstructed to examine whether the Japanese subspecies of the Brown Shrike ( Lanius cristatus superciliosus) diverged from an ancestral CRECS population. A species distribution model (SDM) for the Japanese subspecies was constructed using bioclimatic variables under the maximum entropy algorithm. It was projected backwards to the climate of the last glacial maximum (LGM) to infer the candidate source area of colonization. A migratory route of L. c. superciliosus, which possibly reflects a candidate past colonization route, was tracked by light‐level geolocators. Molecular phylogenetic networks suggest that the Japanese subspecies diverged from a population in the CRECS and maintained anciently diverged haplotypes. The SDM inferred that the emerged continental shelf of the ECS and the present CRECS were suitable breeding areas for the Japanese subspecies during the LGM. A major migratory route for L. c. superciliosus was inferred between the CRECS and the Japanese archipelago across the ECS. Our integrative approach supported the LDD hypothesis for divergence of the Japanese subspecies of the Brown Shrike. Shrinkage of the ECS may have been responsible for successful population establishment, due to a sufficient number of migrants overshooting to the Japanese archipelago from the CRECS. Our framework provides a new phylogeographic scenario for this region. Discriminating LDD and vicariance models helps improve our understanding of the phylogeographic histories of migratory species.

          Abstract

          We present a hypothetical phylogeographic scenario of divergence of a migratory bird species, the Brown Shrike in East Asia. A new scenario was proposed by integrative phylogeography including migration tracking and species distribution modeling. Long‐distance dispersal may have been important for its diversification process.

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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            Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

            Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
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                Author and article information

                Contributors
                mtakagi@eis.hokudai.ac.jp
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                02 May 2021
                June 2021
                : 11
                : 11 ( doiID: 10.1002/ece3.v11.11 )
                : 6066-6079
                Affiliations
                [ 1 ] Department of Natural History Sciences Graduate School of Science Hokkaido University Sapporo Japan
                [ 2 ] Frontiers in Environmental Sciences Graduate School of Agriculture Hokkaido University Sapporo Japan
                [ 3 ] Laboratory of Evolutionary Zoology and Genetics Federal Scientific Center of the East Asia Terrestrial Biodiversity Far Eastern Branch of the Russian Academy of Sciences Vladivostok Russia
                [ 4 ] Department of Natural History Sciences Faculty of Science Hokkaido University Sapporo Japan
                Author notes
                [*] [* ] Correspondence

                Masaoki Takagi, Department of Natural History Sciences, Faculty of Science, Hokkaido University, N10W8, Kita‐ku, Sapporo 060‐0810, Japan.

                Email: mtakagi@ 123456eis.hokudai.ac.jp

                Author information
                https://orcid.org/0000-0002-5780-8487
                https://orcid.org/0000-0003-0167-4464
                https://orcid.org/0000-0001-7010-7338
                https://orcid.org/0000-0001-8308-899X
                Article
                ECE37387
                10.1002/ece3.7387
                8207368
                34141203
                22bceb85-5644-4c9b-b378-de8268c67bf4
                © 2021 The Authors. Ecology and Evolution 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
                : 02 February 2021
                : 25 October 2020
                : 20 February 2021
                Page count
                Figures: 7, Tables: 0, Pages: 14, Words: 9918
                Funding
                Funded by: Japan Society for the Promotion of Science , open-funder-registry 10.13039/501100001691;
                Funded by: Scientific Research (C)
                Award ID: 16K14796
                Award ID: 16H04737
                Funded by: Japanese Society for the Promotion of Science (JSPS) , open-funder-registry 10.13039/501100001691;
                Award ID: 19J21406
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:16.06.2021

                Evolutionary Biology
                brown shrike,japanese archipelago,light‐level geolocator,long‐distance dispersal,migratory route,species distribution modeling

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