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      Climate change will disproportionally affect the most genetically diverse lineages of a widespread African tree species

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          Abstract

          Global climate change is proceeding at an alarming rate with major ecological and genetic consequences for biodiversity, particularly in drylands. The response of species to climate change may differ between intraspecific genetic groups, with major implications for conservation. We used molecular data from 10 nuclear and two chloroplast genomes to identify phylogeographic groups within 746 individuals from 29 populations of Senegalia senegal, a savannah tree species in sub-Saharan Africa. Three phylogroups are identified corresponding to Sudano-Sahelian, Zambezian and Southern African biogeographic regions in West, East and Southern Africa. Genetic diversity was highest in Southern and Zambesian and lowest in the Sudano-Sahelian phylogroups. Using species distribution modeling, we infer highly divergent future distributions of the phylogroups under three climate change scenarios. Climate change will lead to severe reductions of distribution area of the genetically diverse Zambezian (− 41–− 54%) and Southern (− 63–− 82%) phylogroups, but to an increase for the genetically depauperate Sudano-Sahelian (+ 7– + 26%) phylogroups. This study improves our understanding of the impact of climate change on the future distribution of this species. This knowledge is particularly useful for biodiversity management as the conservation of genetic resources needs to be considered in complementary strategies of in-situ conservation and assisted migration.

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          Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

          We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
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            Very high resolution interpolated climate surfaces for global land areas

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              STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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                Author and article information

                Contributors
                pauliam003@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 April 2022
                29 April 2022
                2022
                : 12
                : 7035
                Affiliations
                [1 ]GRID grid.9647.c, ISNI 0000 0004 7669 9786, Department of Molecular Evolution and Plant Systematics and Herbarium (LZ), Institute of Biology, , Leipzig University, ; Johannisallee 21-23, 04103 Leipzig, Germany
                [2 ]GRID grid.421064.5, ISNI 0000 0004 7470 3956, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, ; Puschstrasse 4, 04103 Leipzig, Germany
                [3 ]GRID grid.473402.6, National Centre for Genetic Resources and Biotechnology, ; NCRI complex, Moor Plantation, P.M.B 5282, Ibadan, Nigeria
                [4 ]GRID grid.7492.8, ISNI 0000 0004 0492 3830, Department of Community Ecology (BZF), , Helmholtz Centre for Environmental Research–UFZ, ; Theodor-Lieser-Str. 4, 06120 Halle, Germany
                [5 ]Agresta SCoop. C/ Duque de Fernán Núñez, 2, 1°, 28012 Madrid, Spain
                [6 ]GRID grid.49697.35, ISNI 0000 0001 2107 2298, Department of Plant and Soil Sciences, , University of Pretoria, ; Pretoria, 0002 South Africa
                [7 ]GRID grid.8193.3, ISNI 0000 0004 0648 0244, Department of Botany, , University of Dar Es Salaam, ; P.O. Box 35060, Dar es Salaam, Tanzania
                Author information
                https://orcid.org/0000-0002-2215-7717
                https://orcid.org/0000-0003-4223-5070
                https://orcid.org/0000-0002-4870-0108
                https://orcid.org/0000-0002-0843-4503
                https://orcid.org/0000-0002-2710-469X
                https://orcid.org/0000-0002-6229-8506
                https://orcid.org/0000-0003-3738-6405
                https://orcid.org/0000-0002-6611-2246
                Article
                11182
                10.1038/s41598-022-11182-z
                9054768
                35488120
                99234495-256b-442c-ab1c-9ededa580b27
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 March 2021
                : 19 April 2022
                Funding
                Funded by: The German Academic Exchange Service (DAAD)
                Award ID: (Grant no. 91562729)
                Award Recipient :
                Funded by: German Science Foundation
                Award ID: (projects MU 2934/2-1 and MU 2934/3-1)
                Award Recipient :
                Funded by: the German Federal Ministry of Education and Research
                Award ID: (BMBF grant no. 16GW0120K)
                Award Recipient :
                Funded by: Department of Community Ecology (BZF), Helmholtz Centre for Environmental Research – UFZ, Halle, Germany
                Funded by: Universität Leipzig (1039)
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                biogeography,genetic variation,ecological modelling
                Uncategorized
                biogeography, genetic variation, ecological modelling

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