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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genetic analysis of forest species Eugenia uniflora L. through of newly developed SSR markers

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Author(s):
Ferreira-Ramos, Ronai [1, 2] ; Laborda, Prianda R. [3] ; Santos, Melissa de Oliveira [3] ; Mayor, Matheus S. [1] ; Mestriner, Moacyr A. [1] ; de Souza, Anete P. [3] ; Alzate-Marin, Ana Lilia [1]
Total Authors: 7
Affiliation:
[1] Univ Sao Paulo, Dept Genet, Lab Genet Vegetal, BR-14049900 Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Programa Posgrad Biol Comparada, BR-14049 Ribeirao Preto, SP - Brazil
[3] Univ Estadual Campinas, Ctr Biol Mol & Engn Genet, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: CONSERVATION GENETICS; v. 9, n. 5, p. 1281-1285, 2008.
Web of Science Citations: 12
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 (Ribeir (a) over tildeo Preto, Tambau and S (a) over tildeo Jose do Rio Pardo), highly impacted by the agricultural practices, in a large region among Pardo river and Mogi-Guacu river basins, in state of S (a) over tildeo 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. (AU)