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      Genetic structure of Dicksonia sellowiana Hook. (Dicksoniaceae) reveals clinal distribution along the latitudinal gradient of the Atlantic Forest

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          Abstract

          ABSTRACT Dicksonia sellowiana is the only species of the genus occurring in Brazil. Its distribution is restricted to humid areas of the Atlantic Forest biome. The distribution pattern of biodiversity in this biome is known to have been influenced by historical and environmental factors, although the pattern for ferns remains unknown. This study is first to describe the genetic structure of D. sellowiana along the latitudinal gradient of the Atlantic Forest biome. We use microsatellite markers to estimate genetic diversity and structure for 267 individuals representing 14 populations of D. sellowiana from the Atlantic Forest. The results (Ho, He, Fst, Fis, distance genetic) support the hypothesis of a pattern of biodiversity discontinuity. We found greater genetic variability in populations located in regions of higher humidity and milder temperatures. Our data suggest that there is a clinal distribution pattern of genetic variation along the north to south latitudinal gradient of the Atlantic Forest. This clinal variation has a genetic basis in the frequencies of the two genetic groups. This structure does not evidence long-standing historical barriers to gene flow and favors the influence of landscape characteristics on the establishment of populations.

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          Detecting the number of clusters of individuals using the software structure: a simulation study

          The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
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            GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

            Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s D est and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au
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              TreeView: an application to display phylogenetic trees on personal computers.

              R D Page (1996)
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                Author and article information

                Journal
                abb
                Acta Botanica Brasilica
                Acta Bot. Bras.
                Sociedade Botânica do Brasil (Belo Horizonte, BA, Brazil )
                0102-3306
                1677-941X
                December 2020
                : 34
                : 4
                : 712-719
                Affiliations
                [1] Curitiba Paraná orgnameUniversidade Federal do Paraná orgdiv1Centro Politécnico orgdiv2Setor de Ciências Biológicas Brazil
                [2] Curitiba Paraná orgnameUniversidade Federal do Paraná orgdiv1Programa de Pós-Graduação em Ecologia e Conservação Brazil
                [3] São Paulo São Paulo orgnameInstituto de Botânica orgdiv1Departamento Herbário de São Paulo Brazil
                Article
                S0102-33062020000400712 S0102-3306(20)03400400712
                10.1590/0102-33062020abb0234
                c184aecf-f6b2-42a5-a105-cd45a62d6f85

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 19 May 2020
                : 12 August 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 72, Pages: 8
                Product

                SciELO Brazil

                Self URI: Full text available only in PDF format (EN)
                Categories
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                microsatellites,gene flow,genetic diversity,tree fern,neotropics,conservation

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