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http://dx.doi.org/10.14578/jkfs.2013.102.4.560

Population Genetic Variation of Ulmus davidiana var. japonica in South Korea Based on ISSR Markers  

Ahn, Ji Young (Division of Forest Genetic Resources, Korea Forest Research Institute)
Hong, Kyung Nak (Division of Forest Genetic Resources, Korea Forest Research Institute)
Lee, Jei Wan (Division of Forest Genetic Resources, Korea Forest Research Institute)
Yang, Byung Hoon (Forest Environment Conservation Division, Korea Forest Service)
Publication Information
Journal of Korean Society of Forest Science / v.102, no.4, 2013 , pp. 560-565 More about this Journal
Abstract
Population genetic structure and diversity of Ulmus davidiana var. japonica in South Korea were studied using ISSR markers. A total of 45 polymorphic ISSR amplicons were cropped from 7 ISSR primers and 171 individuals of 7 populations. The average of effective alleles and the proportion of polymorphic loci were 1.5 and 89% respectively. The Shannon's diversity index (I) was 0.435 and the expected heterozygosity from the frequentist's method ($H_e$) and the Bayesian inference (hs) were 0.289 and 0.323 respectively. From AMOVA, 4.2% of total genetic variation in the elm populations was explained with the difference among populations (${\Phi}_{ST}=0.042$) and the other 95.8% was distributed within populations. The ${\theta}^{II}$ value by Bayesian method which was comparable to the FST was 0.043. So the level of genetic diversity in the elm populations was similar to that in Genus Ulmus and the level of genetic differentiation was lower than that of others. No population showed a significant difference in the population-specific fixation indices (average of $PS-F_{IS}=0.822$) or the population-specific genetic differentiations (average of $PS-F_{ST}=0.101$). Seven populations were allocated into 3 groups in the UPGMA and the PCA, but the grouping patterns were different. Also, we could not confirm any geographic trend from Bayesian clustering.
Keywords
ulmus davidiana var. japonica; genetic diversity; genetic differentiation; ISSR marker; bayesian inference; AMOVA;
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