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油橄榄品种表型和SSR标记的多样性及聚类分析
引用本文:秦倩,王楠楠,李金花,苏光灿.油橄榄品种表型和SSR标记的多样性及聚类分析[J].林业科学研究,2016,29(5):676-681.
作者姓名:秦倩  王楠楠  李金花  苏光灿
作者单位:林木遗传育种国家重点实验室 国家林业局林木培育重点实验室 中国林业科学研究院林业研究所, 北京 100091;林木遗传育种国家重点实验室 国家林业局林木培育重点实验室 中国林业科学研究院林业研究所, 北京 100091;林木遗传育种国家重点实验室 国家林业局林木培育重点实验室 中国林业科学研究院林业研究所, 北京 100091;凉山州中泽新技术开发有限责任公司, 四川 西昌 615000
基金项目:中央级公益性科研院所基本科研业务费专项资助“油橄榄主栽品种授粉习性及杂交的研究”(CAFYBB2014MA001)
摘    要:目的]利用表型性状和分子标记,对我国油橄榄品种进行鉴定和遗传多样性研究,有利于种质资源保存和利用,对了解油橄榄品种的组成结构及未来的引种和育种工作都具有重要意义。方法]以甘肃省陇南市17个油橄榄品种为研究材料,利用表型上15个数量性状、18个质量性状和8个SSR荧光标记分别进行多样性和聚类分析。结果]各性状在品种间存在显著差异,数量性状和质量性状的表型多样性指数分别介于1.579 2.089和0.3621.091,8个SSR位点共检测到51个等位基因变异,平均每个位点等位基因数为6.375个,利用表型性状和SSR标记可以将17个品种完全区分开。结论]17个油橄榄品种具有较丰富的表型和遗传多样性,基于表型数量性状、质量性状和SSR标记的聚类分析结果,判别品种间遗传关系的结果有一致的,也存在一定差异。对于表型性状相似的品种,需结合SSR标记进行品种鉴定。

关 键 词:油橄榄  表型性状  SSR荧光标记  遗传多样性  聚类分析
收稿时间:2015/3/20 0:00:00

Diversity and Cluster Analysis on Phenotypic Traits and SSR of Olive Cultivars
QIN Qian,WANG Nan-nan,LI Jin-hua and SU Guang-can.Diversity and Cluster Analysis on Phenotypic Traits and SSR of Olive Cultivars[J].Forest Research,2016,29(5):676-681.
Authors:QIN Qian  WANG Nan-nan  LI Jin-hua and SU Guang-can
Institution:State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;Liangshan Zhongze New Tech Development Co. Ltd., Xichang 615000, Sichuan, China
Abstract:Objective] With genetic markers and phenotypic data to identify olive cultivars and evaluation their genetic diversity.Method] Taking 11 olive cultivars from Longnan, Gansu Province, as samples, the genetic diversity analysis and cluster analysis were conducted with 15 quantitative traits, 18 quality phenotypic traits and 8 SSR markers. Result] For all the phenotypic traits, significant variability was found among the cultivars. The phenotypic diversity index of quantitative traits ranged from 1.579 to 2.088 as those of quality traits ranged from 0.362 to 1.091. A total of 51 alleles were detected for 8 SSR markers, while the number of alleles per locus reached an average of 5.9. With the phenotypic traits and SSR markers, 17 cultivars can be completely identified and distinguished. Conclusion] The result of genetic distance analysis based on phenotypic traits and SSR markers showed similar genetic relationships between cultivars with somewhat differences between them. The SSR markers should be combined to identify cultivars with similar phenotypic traits.
Keywords:Olea europaea L    phenotypic data  SSR  genetic diversity  clustering analysis
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