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Estimating the Selfing and Migration of Luehea divaricata Populations Based on Genetic Structure Data, Using the EASYPOP Program

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Journal of Environmental Science and Engineering(B) 2018年第3期7卷 117-122页

作者： caetano miguel lemos serrote Rosalina Armando Tamele Luciana Samuel Nhantumbo Lia Rejane Silveira Reiniger Departamento de Silvicultura e Maneio Florestal Faculdade de Ciências Agrárias Universidade Lúrio Unango 3302 Mozambique Departamento de Fitotecnia Universidade Federal de Santa Maria Santa Maria RS 97105-900 Brazil

Genetic structure data of five populations of the Luehea divaricata Mart. ＆ Zucc., forest tree species under development in the Atlantic Forest biome, obtained by microsatellite DNA markers, were used in simulations to study their reproductive and ecological pattern. Different selfing and migration rates were tested, using the observed and expected heterozygosity of 0.55 and 0.67, respectively, obtained through the use of microsatellite markers. Closest values were obtained with the use of selfing rates of 0.3 and migration of 0.2. These results suggest the presence of some self-incompatibility system between these species, which reduces, but does not prevent the self-fertilization. The migration rate contributes to a low genetic differentiation between the populations, making the reproductive mode, responsible for the inbreeding observed in the same populations. Authors suggest continuous monitoring of the genetic variability as a guarantee for the persistence of these populations. The study focus on the importance of using computer simulations to investigate ecologic, reproductive and genetic patterns for forestry populations, thus enabling the application of suitable measures for conservation.

关键词： Computational simulations conservation biology inbreeding heterozygosity

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