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      Deep south-north genetic divergence in Godlewski’s bunting ( Emberiza godlewskii) related to uplift of the Qinghai-Tibet Plateau and habitat preferences

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          Abstract

          Background

          Geological events and climatic changes played important roles in shaping population differentiation and distribution within species. In China, populations in many species have contracted and expanded responding to environmental changes with the uplift of the Qinghai-Tibet Plateau (QTP) and glacial cycles during Pleistocene. In this study, we analysed the population structure of Godlewski’s Bunting, Emberiza godlewskii, to determine the effects of major historical events, geographic barriers and past climatic changes on phylogenetic divergence and historical demographic dynamics of this species.

          Results

          A phylogeny based on concatenated mitochondrial and nuclear DNA datasets show two (northern and southern) clades approximately diverged 3.26 million years ago (Ma). The West Qinling Mountains serve as a dividing line between the two lineages. Both lineages experienced a recent demographic expansion during interglacial periods (marine isotope stages (MISs) 2–6). Bayesian skyline plots and the results of ecological niche modelling suggested a more intensive expansion of the northern lineage during the late Pleistocene, whereas the southern lineage was comparatively mild in population growth.

          Conclusions

          Our results provide insights into the distribution patterns of avian taxa and the possible mechanisms for a south and north divergence model in China. The deep divergence may have been shaped by the uplift of the QTP. Habitat preferences might have facilitated the lineage divergence for E. godlewskii. Moreover, the West Qinling Mountains act as a dividing line between the two lineages, indicating a novel phylogeographic pattern of organisms in China. The difference in population expansion mode between two lineages resulted from different effects caused by the climate of the LGM and the subsequent habitat changes accompanying the arrival of a colder climate in northern and southern regions of China.

          Electronic supplementary material

          The online version of this article (10.1186/s12862-019-1487-z) contains supplementary material, which is available to authorized users.

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          Most cited references29

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          DensiTree: making sense of sets of phylogenetic trees.

          Bayesian analysis through programs like BEAST (Drummond and Rumbaut, 2007) and MrBayes (Huelsenbeck et al., 2001) provides a powerful method for reconstruction of evolutionary relationships. One of the benefits of Bayesian methods is that well-founded estimates of uncertainty in models can be made available. So, for example, not only the mean time of a most recent common ancestor (tMRCA) is estimated, but also the spread. This distribution over model space is represented by a set of trees, which can be rather large and difficult to interpret. DensiTree is a tool that helps navigating these sets of trees. The main idea behind DensiTree is to draw all trees in the set transparently. As a result, areas where a lot of the trees agree in topology and branch lengths show up as highly colored areas, while areas with little agreement show up as webs. This makes it possible to quickly get an impression of properties of the tree set such as well-supported clades, distribution of tMRCA and areas of topological uncertainty. Thus, DensiTree provides a quick method for qualitative analysis of tree sets. DensiTree is freely available from http://compevol.auckland.ac.nz/software/DensiTree/. The program is licensed under GPL and source code is available. remco@cs.auckland.ac.nz
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            Distinguishing migration from isolation: a Markov chain Monte Carlo approach.

            A Markov chain Monte Carlo method for estimating the relative effects of migration and isolation on genetic diversity in a pair of populations from DNA sequence data is developed and tested using simulations. The two populations are assumed to be descended from a panmictic ancestral population at some time in the past and may (or may not) after that be connected by migration. The use of a Markov chain Monte Carlo method allows the joint estimation of multiple demographic parameters in either a Bayesian or a likelihood framework. The parameters estimated include the migration rate for each population, the time since the two populations diverged from a common ancestral population, and the relative size of each of the two current populations and of the common ancestral population. The results show that even a single nonrecombining genetic locus can provide substantial power to test the hypothesis of no ongoing migration and/or to test models of symmetric migration between the two populations. The use of the method is illustrated in an application to mitochondrial DNA sequence data from a fish species: the threespine stickleback (Gasterosteus aculeatus).
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              Characteristics of late Quaternary monsoonal glaciation on the Tibetan Plateau and in East Asia

              Yafeng Shi (2002)
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                Author and article information

                Contributors
                lijd14@lzu.edu.cn
                songgang@ioz.ac.cn
                Liu_naifa@163.com
                changyongbin@ioz.ac.cn
                baoxk@lzu.edu.cn
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                1 August 2019
                1 August 2019
                2019
                : 19
                : 161
                Affiliations
                [1 ]ISNI 0000 0000 8571 0482, GRID grid.32566.34, School of Life Sciences, , Lanzhou University, ; Lanzhou, 730000 China
                [2 ]ISNI 0000 0004 1792 6416, GRID grid.458458.0, Key Laboratory of Zoological Systematics and Evolution, , Institute of Zoology, Chinese Academy of Sciences, ; Beijing, 100101 China
                Article
                1487
                10.1186/s12862-019-1487-z
                6676563
                31370783
                64fa5b98-f26d-4e9e-ad88-f1530ee9731e
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 September 2018
                : 22 July 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: Grant No. 41071031
                Award ID: No. 31672296
                Award ID: Grant No. 31471991
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Evolutionary Biology
                emberiza godlewskii,phylogeography,uplift of the qinghai-tibet plateau,west qinling mountains,historical demographic dynamics,population expansion

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