Development of an RFLP-based rice diversity research set of germplasm
Development of an RFLP-based rice diversity research set of germplasm
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DOI：
10.1270/jsbbs.55.431
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发表时间：
2005-12-01
期刊：
影响因子：
2.4
通讯作者：
Kawase, M
中科院分区：
文献类型：
--
作者：
Kojima, Y;Ebana, K;Kawase, M
在对332份栽培稻材料进行全基因组RFLP多态性分析的基础上，建立了水稻种质资源多样性研究体系。最初调查中使用的材料是根据保存在国家农业生物科学研究所(NIAS)基因库的整个收集的护照数据进行选择的。利用179个核RFLP标记对这些材料进行了分析。共检测到554个等位基因，每个座位的等位基因数在2~8个之间，平均3.1个。利用RFLP数据进行主坐标分析，可将供试材料分为三大类群，一类为粳型，另两类为籼型。为了建立水稻种质资源的多样性研究体系，对332份材料的RFLP数据进行了聚类分析，得到67个类群，相似系数为0.915。从67个组中的每个组中选择了一个单独的加入。这67份材料保留了原始332份材料中91%的等位基因，并涵盖了原始材料在几个农艺形态性状上的变异。本研究选择了69份水稻种质资源，包括来自19个国家的品种和参比品种日本晴和卡萨拉特，用于水稻种质资源多样性研究。这些材料目前已在分子水平上得到了很好的表征，将用于详细的遗传研究和水稻改良。
A rice diversity research set of germplasm (RDRS) was developed based on a genome-wide RFLP polymorphism survey of 332 accessions of cultivated rice (Oryza saliva L.). The accessions used in the initial survey were selected based on the passport data from the whole collection maintained at the Genebank of the National Institute of Agrobiological Sciences (NIAS). These accessions were analyzed using 179 nuclear RFLP markers. A total of 554 alleles were detected, and the number of alleles per locus ranged from 2 to 8 (mean 3.1). Principal coordinate analysis using RFLP data enabled to classify the accessions into three major groups, one Japonica and other two Indica. To develop a rice diversity research set of germplasm, the RFLP data on the 332 accessions were subjected to cluster analysis and 67 groups were recognized at a similarity index of 0.915. A single accession from each of the 67 groups was selected. These 67 accessions retained 91% of the alleles detected in the original 332 accessions, and covered the variation of the initial set of accessions in terms of several agro-morphological traits. The 69 accessions including varieties from 19 countries and the reference varieties, Nipponbare and Kasalath, were selected for the development of a rice diversity research set of germplasm. This collection which is presently well characterized at the molecular level will be used for the detailed genetic studies and rice improvement.