林 强,李生强,张瑞越,周国华,邹 杰,黎世龄,罗筱平.利用SSR 标记对籼稻品种(系)聚类分析的比较研究[J].广东农业科学,2017,44(1):1-7 |
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利用SSR 标记对籼稻品种(系)聚类分析的比较研究 |
Comparative study on cluster analysis of 24 indica rice varieties(lines)by SSR markers |
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DOI:10.16768/j.issn.1004-874X.2017.01.001 |
中文关键词: 籼稻 SSR 标记 聚类分析 杂种优势群 |
英文关键词: indica SSR markers cluster analysis heterotic groups |
基金项目:江西省教育厅科学技术研究项目(151034) |
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中文摘要: |
以24 个籼稻品种(系)为材料,利用SSR 标记技术分别采用NTSYS 软件、DPS 软件和
MAGE 软件在4 种情况下进行聚类分析。结果表明,无论是利用NTSYS 软件通过相关系数,还是利用DPS
软件和MAGE 软件通过遗传距离进行聚类分析,都基本能将恢复系、三系不育系、短光敏不育系3 个类群
分开,但由于所选标记及其检测到的等位基因数量不同,聚类的结果也随之不同,特别是水稻恢复系和不
育系两大类群下的各亚类的分类结果不同。因此,认为只有首先确定合理的引物数量及其检测到的等位基
因数,才能较为准确地进行聚类分析,进而有效地划分杂种优势群。 |
英文摘要: |
Cluster analysis of 24 indica rice varieties(lines)by 4 different SSR primers using NTSYS,DPS
and MAGE software were implemented in this study. The results showed that three groups including restorer lines,
cytoplasmic male sterile lines and short photoperiod sensitive sterile lines were distinguished no matter using
NTSYS software by the similarity factor,or using DPS and MAGE software clustering analysis based on genetic
distance,the results of clustering analysis were different with the number of markers and alleles,especially the
sub group under the male sterile lines and restorer lines,which were recognized as dominant group of rice. This
study suggests that the number of alleles detected by molecular markers affects the accuracy of clustering results
and the effective construction of rice heterosis groups. |
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