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Genetic diversity and geographical differentiation of Dipteronia Oliv. (Aceraceae) endemic to China as revealed by AFLP analysis
Authors:Juan Yang  Zeng-Qiang Qian  Zhan-Lin Liu  Shan Li  Gen-Lou Sun  Gui-Fang Zhao
Institution:1. Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Science, Northwest University, No. 229, Northern Taibai Road, Xi''an, Shaanxi 710069, PR China;2. College of Life Sciences and Technology, Tongji University, Shanghai, PR China;3. Department of Biology, Saint Mary''s University, Halifax, Nova Scotia B3H 3C3, Canada
Abstract:The genus Dipteronia Oliv. endemic to central and southern China consists of two species, Dipteronia sinensis Oliv. and Dipteronia dyeriana Henry, both of them are rare and endangered. AFLP markers were used to characterize the genetic diversity and geographical differentiation of the genus. Eight out of 32 PstI + 3/MseI + 3 selective primer combinations screened were applied to the analysis on 142 individuals of 17 D. sinensis and 4 D. dyeriana populations, respectively. A total of 324 fragments with 316 polymorphic were amplified. The proportion of polymorphic loci (PPB) was 97.53%. The Nei's gene diversity in D. sinensis and D. dyeriana was 0.3319 and 0.3047, respectively. About 43.6% (GST = 0.4356) of the genetic variation occurred among the populations, indicating a relatively high genetic differentiation among the populations. Cluster analysis grouped the 21 populations into two groups according to their species delimitation. The populations of D. sinensis were further divided into three subgroups corresponding to their geographical distributions. Correlation analysis revealed a significant correlation (p < 0.05) between geographical distance and genetic distance of these populations, suggesting that the relatively high genetic differentiation among the populations of D. sinensis might be caused by geographical isolation.
Keywords:Amplified fragment length polymorphism (AFLP)  Dipteronia Oliv    Genetic diversity  Geographical differentiation  Correlation analysis
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