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作物学报 ›› 2007, Vol. 33 ›› Issue (12): 2034-2040.

• 研究论文 • 上一篇    下一篇

不同地理来源旱稻种质资源的遗传多样性分析

王一平;魏兴华*;华蕾;袁筱萍;余汉勇;徐群;汤圣祥   

  1. 国家水稻生物学重点实验室,中国水稻研究所,浙江杭州310006
  • 收稿日期:2007-01-24 修回日期:1900-01-01 出版日期:2007-12-12 网络出版日期:2007-12-12
  • 通讯作者: 魏兴华

Genetic Diversity in Upland Rice Germplasm from Different Geographic Regions

WANG Yi-Ping,WEI Xing-Hua*,HUA Lei,YUAN Xiao-Ping,YU Han-Yong,XU Qun,TANG Sheng-Xiang   

  1. State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, Zhejiang, China
  • Received:2007-01-24 Revised:1900-01-01 Published:2007-12-12 Published online:2007-12-12
  • Contact: WEI Xing-Hua

摘要: 用38对SSR引物对144份不同地理来源的旱稻种质资源进行遗传多样性分析。结果表明,共检测到137个等位变异,平均每对引物检测到3.6个,等位变异范围2~9。Nei基因多样性指数(He)在0.440(RM162)~0.854(RM335)之间,平均0.598。旱稻种质资源亚种间SSR多样性差异明显,籼稻的等位基因数目和Nei基因多样性指数(Na = 3.5,He = 0.558)明显高于粳稻(Na = 3.2,He = 0.415)。Nei基因多样性指数以亚洲最高,非洲最低,亚洲其他(He = 0.594)>中国(He = 0.593)>南美(He = 0.545)>非洲(He = 0.512)。AMOVA分析表明,旱稻种质资源的遗传变异主要来自亚种内(占总变异的76.3%),亚种间遗传分化极显著。系统聚类能较好地区分籼粳亚种,但不能区分地理组。旱稻种质资源丰富的遗传多样性为水稻节水抗旱品种的选育提供了条件。

关键词: 旱稻种质资源, SSR, 遗传多样性, 分子方差分析

Abstract: Genetic diversity in 144 accessions of upland rice germplasm from 4 geographic regions was assessed using 38 pairs SSR markers. A total of 137 alleles were detected ranging from 2 to 9 per locus with the mean of 3.6. The Nei’s gene diversity indices (He) ranged from 0.440 at RM162 to 0.854 at RM335, with the average of 0.598. There existed significant difference in SSR allelic diversity between indica and japonica subspecies. Indica upland rice(Na = 3.5, He = 0.558)had more variation than japonica one (Na = 3.2, He = 0.415), revealing the gene diversity of indica upland rice was more exuberant than that of japonica one. Regarding geographies regions, the He of upland rices in Asia countries (except China) was the highest, the followings were that in China (He 0.593), in South America (He 0.545) and in Africa (He 0.512). The analysis of molecular variance (AMOVA) indicated that 76.3% and 23.7% of total genetic variation were existed within subspecies and between subspecies with significant difference at 0.001 probability level respectively, showing the most genetic variation of upland rices came from within subspecies. Based on Nei’s genetic distance using data of 38 SSR loci, 144 upland rice germplasm could be distinguished as indica and japonica, but not be classified better into groups according to geographical regions. The present study verified that upland rices have rich genetic diversity, which is an excellent basis for upland rice breeding for tolerance to water stress.

Key words: Upland rice germplasm, SSR, Genetic diversity, Analysis of molecular variance

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