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Gene flow in an overexploited population of Swietenia macrophylla King (Meliaceae) in the Bolivian Amazon Cover

Gene flow in an overexploited population of Swietenia macrophylla King (Meliaceae) in the Bolivian Amazon

Open Access
|Aug 2017

Abstract

Pollen and seed movement among and within populations connect individuals and populations, and therefore are among the most important evolutionary processes determining the genetic structure of populations. Seven microsatellite loci were used to investigate the realized pollen dispersal and intra-population spatial genetic structure (SGS) in four permanent plots located in an overexploited big-leaf mahogany (Swietenia macrophylla King) population in the Bolivian Amazon. All adult trees found in the plots were mapped, sampled and genotyped. Seedlings were sampled below the canopy of reproductive trees. Private alleles in the sub-population of the adults and the seedlings were observed. The observed heterozygosity was significantly lower and fixation index was significantly higher for the seedlings (Ho=0.697, F=0.068) compared to the adults (Ho=0.761, F=-0.023). In one plot, seed immigration was observed (18%). Realized pollen immigration ranged among the plots from zero to 41% and selfing ranged from zero to 5.8%. We observed an average pollen dispersal distance from 75 to 255 m, with the maximum reaching 576 m. We found a significant SGS up to 150 m, showing that near neighbour individuals are relatives. The observed data on pollen- and seed dispersal provides important information for the sustainable management of the endangered mahogany species.

DOI: https://doi.org/10.1515/sg-2012-0027 | Journal eISSN: 2509-8934 | Journal ISSN: 0037-5349
Language: English
Page range: 212 - 220
Submitted on: Jul 30, 2012
Published on: Aug 1, 2017
Published by: Johann Heinrich von Thünen Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 A. M. Sebbenn, J. C. Licona, B. Mostacedo, B. Degen, published by Johann Heinrich von Thünen Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.