15
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genetic diversity and structure of Dorstenia elata (Moraceae) in an Atlantic Forest remnant

      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

          Abstract Plant species that show gregarious spatial distribution and endemism to the Atlantic Forest, such as Dorstenia elata, are particularly sensitive to the effects of genetic diversity loss. In the present study, we aimed to quantify the genetic diversity in native populations of this species in an Atlantic Forest remnant. The sample included three aggregates of individuals, and molecular characterization was performed with twelve ISSR primers. Intrapopulation analyses were based on the calculation of the Shannon index; total expected heterozygosity and the matrix of distances between pairs of individuals were also calculated. The obtained grouping dendrogram evinced the formation of two groups. Interpopulation investigations were based on the analysis of molecular variance and the estimate of historical gene flow. The results demonstrate that one group comprised the genotypes from two subpopulations, and the other contained exclusively the genotypes of a third subpopulation. The greatest genetic variability was observed within rather than among populations, indicating that the geographical distance and the road that divides the studied populations are not causing loss of genetic diversity.

          Translated abstract

          Resumo Espécies de plantas que mostram padrão gregário de distribuição e endemismo na Floresta Atlântica, como Dorstenia elata, são particularmente sensíveis aos efeitos da perda da diversidade genética. Considerando isso, objetivou-se com este trabalho quantificar a diversidade genética em populações nativas dessa espécie em um remanescente da Mata Atlântica. A amostra incluiu três subpopulações de indivíduos e a caracterização molecular foi realizada com doze primers ISSR. As análises intrapopulacionais foram baseadas no cálculo do índice de Shannon; a heterozigosidade total esperada e a matriz de distâncias entre pares de indivíduos também foram calculadas. O dendrograma de agrupamento obtido evidenciou a formação de dois grupos. As investigações interpopulacionais foram baseadas na análise de variância molecular e na estimativa do fluxo gênico. Os resultados demonstram que um grupo compreendeu os genótipos de duas subpopulações, e o outro continha exclusivamente os genótipos de uma terceira subpopulação. A maior variabilidade genética foi observada dentro e não entre populações, indicando que a distância geográfica e a estrada que divide as populações estudadas não estão causando perda de diversidade genética.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Inference of Population Structure Using Multilocus Genotype Data

          We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

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

              The genetical structure of populations.

              S. Wright (1951)
                Bookmark

                Author and article information

                Journal
                rod
                Rodriguésia
                Rodriguésia
                Instituto de Pesquisas Jardim Botânico do Rio de Janeiro (Rio de Janeiro, RJ, Brazil )
                0370-6583
                2175-7860
                2021
                : 72
                : e00862020
                Affiliations
                [3] Alegre Espírito Santo orgnameUniversidade Federal do Espírito Santo orgdiv1Centro de Ciências Agrárias e Engenharias Brazil
                [2] Alegre Espírito Santo orgnameUniversidade Federal do Espírito Santo orgdiv1Centro de Ciências Agrárias e Engenharias Brazil
                [1] Alegre Espírito Santo orgnameUniversidade Federal do Espírito Santo orgdiv1Centro de Ciências Agrárias e Engenharias Brazil
                Article
                S2175-78602021000100270 S2175-7860(21)07200000270
                10.1590/2175-7860202172081
                14db1447-e04d-49ae-95cb-11360470fe80

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

                History
                : 22 May 2020
                : 28 September 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Papers

                Moraceae,ISSR,Caiapiá
                Moraceae, ISSR, Caiapiá

                Comments

                Comment on this article