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Genetic differentiation among three neighboring Brazil-cherry (Eugenia uniflora L.) populations within the Brazilian Atlantic rain forest
Authors:R. Margis  D. Felix  J.F. Caldas  F. Salgueiro  D.S.D. De Araujo  P. Breyne  M. Van Montagu  D. De Oliveira  M. Margis-Pinheiro
Affiliation:(1) Laboratório de Genética Molecular Vegetal, Departamento de Genética, Instituto de Biologia, CCS, Universidade Federal do Rio de Janeiro, Ilha do Fundão, 21944–970 Rio de Janeiro, Brazil;(2) Departamento de Bioquímica, Instituto de Química, UFRJ, Rio de Janeiro, Brazil;(3) Department of Plant Genetics, Flanders Interuniversity Institute for Biotechnology, University of Gent, K.L. Ledeganckstraat 35, B-9000 Gent, Belgium
Abstract:Eugenia uniflora L. (pitanga) is widely distributed in tropical areas. It is present in coastal vegetation from Ceara, in northeastern Brazil, to Rio Grande do Sul, at the southern tip of the country. Eugenia uniflora is of ecological importance, both as colonizing species on disturbed land and as food supplier for a wide variety of insects, birds and mammals. Pitanga plays a role in the maintenance of shrubby coastal ecosystems, especially at disturbed sites, and in 'restinga' ecosystems, at the interface between low forest and strand vegetation. To investigate the genetic diversity residing within the species, three neighboring populations at a distance of less than 24 km from each other, with varying degrees of human impact, were studied. The level of genetic diversity within and between populations was assessed with amplified fragment length polymorphism (AFLP) methodology. A total of 532 AFLP markers were analyzed in 66 individual trees. The polymorphism level varied from 61.2 to 96% depending on the primer combination used. Intra- and inter-population genetic diversity analysis showed that more than 88% of the variation resided within the populations, with a Gst of 0.123. Nevertheless, using neighbor joining (NJ) and principal component analysis (PCA), on the genetic distance (GD) data, permitted the three analyzed populations to be differentiated.
Keywords:AFLP  biodiversity  genetic diversity  myrtaceae  population genetics
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