Genetic Diversity and Population Structure of a Threatened African Tree Species, Milicia excelsa, Using Nuclear Microsatellites DNA Markers
To accurately estimate the genetic diversity and population structure for improved conservation planning of Milicia excelsa tree, 212 individuals from twelve population samples covering the species' range in Benin were surveyed at seven specific microsatellite DNA loci. All loci were variable,...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2009-01-01
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Series: | International Journal of Forestry Research |
Online Access: | http://dx.doi.org/10.1155/2009/210179 |
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Summary: | To accurately estimate the genetic diversity and population structure for improved conservation planning of Milicia excelsa tree, 212 individuals from twelve population samples covering the species' range in Benin were surveyed at seven specific microsatellite DNA loci. All loci were variable, with the mean number of alleles per locus ranging from 5.86 to 7.69. Considerable genetic variability was detected for all populations at the seven loci (AR=4.60; HE=0.811). Moderate but statistically significant genetic
differentiation was found among populations considering both
FST (0.112) and RST (0.342). All of the populations showed heterozygosity deficits in test of Hardy-Weinberg Equilibrium and significantly positive FIS values due to inbreeding occurring in the species. Pairwise FST values were positively and significantly correlated with geographical distances (r=0.432; P=.007, Mantel's test) indicating that populations are
differentiated by “isolation by distance.” Bayesian
analysis of population structure showed division of the genetic
variation into four clusters revealing the existence of
heterogeneity in population genetic structure. Altogether, these
results indicate that genetic variation in Milicia
excelsa is geographically structured. Information gained
from this study also emphasized the need for in situ conservation
of the relict populations and establishment of gene flow corridors
through agroforestry systems for interconnecting these remnant
populations. |
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ISSN: | 1687-9368 1687-9376 |