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      Genetic structure and gene flow of Eugenia dysenterica natural populations Translated title: Estrutura genética e fluxo gênico em populações naturais de cagaita

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          Abstract

          This study was carried out to assess the genetic variability of ten "cagaita" tree (Eugenia dysenterica) populations in Southeastern Goiás. Fifty-four randomly amplified polymorphic DNA (RAPD) loci were used to characterize the population genetic variability, using the analysis of molecular variance (AMOVA). A phiST value of 0.2703 was obtained, showing that 27.03% and 72.97% of the genetic variability is present among and within populations, respectively. The Pearson correlation coefficient (r) among the genetic distances matrix (1 - Jaccard similarity index) and the geographic distances were estimated, and a strong positive correlation was detected. Results suggest that these populations are differentiating through a stochastic process, with restricted and geographic distribution dependent gene flow.

          Translated abstract

          Este trabalho teve por objetivo o estudo da variabilidade genética em 10 populações de cagaiteiras (Eugenia dysenterica), da região Sudeste do Estado de Goiás. Foram identificados 54 locos marcadores RAPD, para a caracterização da variabilidade genética, avaliada por meio da análise da variância molecular (AMOVA). Foi verificado que 27,03% da variabilidade genética está entre populações, e 72,97% dentro de populações, índices obtidos a partir do valor de fiST igual a 0,2703. Foi estimado o coeficiente de correlação de Pearson (r) entre a matriz de distâncias genéticas (1 - índice de similaridade de Jaccard) e de distâncias geográficas, tendo sido encontrada forte correlação positiva. Os resultados sugerem que essas populações estão se diferenciando por um processo estocástico havendo fluxo restrito dependente da distribuição geográfica.

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          Most cited references22

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          The genetical structure of populations.

          S. Wright (1951)
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            Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data.

            We present here a framework for the study of molecular variation within a single species. Information on DNA haplotype divergence is incorporated into an analysis of variance format, derived from a matrix of squared-distances among all pairs of haplotypes. This analysis of molecular variance (AMOVA) produces estimates of variance components and F-statistic analogs, designated here as phi-statistics, reflecting the correlation of haplotypic diversity at different levels of hierarchical subdivision. The method is flexible enough to accommodate several alternative input matrices, corresponding to different types of molecular data, as well as different types of evolutionary assumptions, without modifying the basic structure of the analysis. The significance of the variance components and phi-statistics is tested using a permutational approach, eliminating the normality assumption that is conventional for analysis of variance but inappropriate for molecular data. Application of AMOVA to human mitochondrial DNA haplotype data shows that population subdivisions are better resolved when some measure of molecular differences among haplotypes is introduced into the analysis. At the intraspecific level, however, the additional information provided by knowing the exact phylogenetic relations among haplotypes or by a nonlinear translation of restriction-site change into nucleotide diversity does not significantly modify the inferred population genetic structure. Monte Carlo studies show that site sampling does not fundamentally affect the significance of the molecular variance components. The AMOVA treatment is easily extended in several different directions and it constitutes a coherent and flexible framework for the statistical analysis of molecular data.
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              NTSYS - pc numerical taxonomy and multivariate analysis system

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                pab
                Pesquisa Agropecuária Brasileira
                Pesq. agropec. bras.
                Embrapa Informação Tecnológica (Brasília )
                1678-3921
                October 2005
                : 40
                : 10
                : 975-980
                Affiliations
                [1 ] Instituto Agronômico Brazil
                [2 ] Escola Superior de Agricultura Luiz de Queiroz Brazil
                [3 ] Universidade Federal de Goiás Brazil
                [4 ] Universidade Federal de Goiás Brazil
                Article
                S0100-204X2005001000005
                10.1590/S0100-204X2005001000005
                1a5c977b-70a6-40e6-8d13-169a14484591

                http://creativecommons.org/licenses/by/4.0/

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                Product

                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0100-204X&lng=en
                Categories
                AGRICULTURE, DAIRY & ANIMAL SCIENCE
                AGRICULTURE, MULTIDISCIPLINARY

                Animal agriculture,General agriculture
                Myrtaceae,Cerrado,tropical species,genetic diversity,espécies tropicais,diversidade genética,Eugenia dysenterica

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