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Genetic diversity and structure among natural populations of Sindora glabra in Hainan Island, China as revealed by ISSR markers

机译:ISSR标记揭示的中国海南岛信天翁自然种群的遗传多样性和结构

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Sindora glabra, one of the second-class national protective plants in China, has important ecological and commercial values. To understand the genetic diversity and structure of S. glabra, eleven natural populations from four areas of Hainan Island in China were analyzed by inter -simple sequence repeat (ISSR) markers. Thirteen primers were screened out and used to amplify 157 DNA samples. A total of 122 bands were obtained, among which 114 (93.4%) bands were polymorphic. Genetic parameters including average number of effective alleles (1.547), Nei's gene diversity (0.321), Shannon's information index (0.482), and gene differentiation coefficient (0.1944) revealed a high level of genetic diversity maintained in S. glabra populations. The variation within populations accounted for 85.6% of total variation based on analysis of molecular variance. Genetic distance analysis showed that 11 populations could be divided into three groups and populations from the same areas were classified as one group, suggesting that high genetic diversity of S. glabra was attributable to geographic isolation. Together, introduction of germplasm from distant natural distribution areas would be a sound strategy for germplasm resource conservation of S. glabra and selection of elite individuals from populations of far relationship for hybridization is of great importance for breeding improvement programs in future. (C) 2016 Elsevier Ltd. All rights reserved.
机译:Sindora glabra是中国国家二级保护植物之一,具有重要的生态和商业价值。为了了解S. glabra的遗传多样性和结构,通过简单序列间重复(ISSR)标记对来自中国海南岛四个地区的11个自然种群进行了分析。筛选出13个引物,用于扩增157个DNA样品。共获得122条带,其中114条(93.4%)是多态的。遗传参数包括有效等位基因的平均数(1.547),Nei的基因多样性(0.321),Shannon的信息指数(0.482)和基因分化系数(0.1944)表明,S。glabra种群保持了较高的遗传多样性。根据分子变异分析,群体内的变异占总变异的85.6%。遗传距离分析表明,将11个种群分为三类,同一地区的种群被归为一类,这表明S.glabra的高遗传多样性可归因于地理隔离。总之,从遥远的自然分布地区引入种质将是一种保护S. glabra的种质资源的合理策略,并且从远亲的种群中选择精英个体进行杂交对于将来的育种改良计划非常重要。 (C)2016 Elsevier Ltd.保留所有权利。

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