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http://dx.doi.org/10.14578/jkfs.2013.102.1.122

Genetic Diversity and Population Genetic Structure of Exochorda serratifolia in South Korea  

Hong, Kyung Nak (Division of Forest Genetic Resources, Korea Forest Research Institute)
Lee, Jei Wan (Division of Forest Genetic Resources, Korea Forest Research Institute)
Kang, Jin Taek (Center for Forest & Climate Change, Korea Forest Research Institute)
Publication Information
Journal of Korean Society of Forest Science / v.102, no.1, 2013 , pp. 122-128 More about this Journal
Abstract
Genetic diversity and population genetic structure were estimated in nine natural populations of Exochorda serratifolia in South Korea using ISSR marker system. Average of polymorphic loci per primer was 5.8 (S.D.=2.32) and percentage of polymorphic loci per population was 78.7% with total 35 loci from 6 ISSR primers. In AMOVA, 27.8% of total genetic variation came from genetic difference among populations and 72.2% was resulted from difference among individual trees within populations. Genetic differentiations by Bayesian inference were 0.249 of ${\theta}^{11}$ and 0.227 of $G_{ST}$. Inbreeding coefficient for total populations was 0.412. There was significant correlation between genetic distance and geographic distance among populations. On the results of Bayesian cluster analysis, nine populations were assigned into three groups. The first group included 5 populations, and the second and the third had two populations per group, respectively. These three regions could explain 10.0% of total genetic variation from hierarchical AMOVA, and the levels of among-population and among-individual were explained 19.7% and 70.3%, respectively. The geographic distribution of populations following the three Bayesian clusters could be explained with mountain range as Baekdudaegan which is the main chain of mountains in Korea. The mountains as the physical barrier might hamper gene flow in the pearlbush. So when protected areas are designated for conservation of this species, we should consider those three regions into considerations and would better to choose at least one population per region.
Keywords
Exochorda serratifolia; genetic diversity; genetic structure; conservation; genetic resources; ISSR; Bayesian inference; AMOVA;
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