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Genetic analysis of forest species <Emphasis Type="Italic">Eugenia uniflora</Emphasis> L. through of newly developed SSR markers
Authors:Ronai Ferreira-Ramos  Prianda R Laborda  Melissa de Oliveira Santos  Matheus S Mayor  Moacyr A Mestriner  Anete P de Souza  Ana Lilia Alzate-Marin
Institution:1.Programa de Pós-Gradua??o em Biologia Comparada,Universidade de S?o Paulo (USP),Ribeir?o Preto,Brazil;2.Laboratório de Genética Vegetal, Departamento de Genética,Universidade de S?o Paulo,Ribeir?o Preto,Brazil;3.Centro de Biologia Molecular e Engenharia Genética,Universidade Estadual de Campinas (Unicamp),Campinas,Brazil
Abstract:Nine microsatellite loci for genetic analysis of three populations of the tropical tree Eugenia uniflora L. (pitanga or Brazilian cherry) from fragments of semideciduous forest were developed. We used the technique of building a (GA) n and (CA) n microsatellite-enriched library by capture with streptavidin-coated magnetic beads. We assessed the polymorphism of seven microsatellites in 84 mature trees found in three areas (Ribeirão Preto, Tambaú and São José do Rio Pardo), highly impacted by the agricultural practices, in a large region among Pardo river and Mogi-Guaçu river basins, in state of São Paulo, Brazil. All loci were polymorphic, and the number of alleles was high, ranging from 6 to 24, with a mean of 14.4. All stands showed the same high level of genetic diversity (mean H E  = 0.83) and a low genetic differentiation (mean F ST = 0.031), indicating that genetic diversity was higher within rather than among populations. Seven of the nine loci were highly variable, and sufficiently informative for E. uniflora. It was concluded that these new SSR markers can be efficiently used for gene flow studies.
Keywords:Conservation  Development  Forest  Genetic diversity  Myrtaceae  Pitanga
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