Molecular Marker Systems for Profiling and Diversity Analysis of Rice Germplasm in Philippine Genebank
文献类型: 外文期刊
作者: Yong, Wan 2 ; Romero, Gabriel O. 1 ;
作者机构: 1.Sci City Munoz, Philippine Rice Res Inst, Nueva Ecija 3119, Philippines
2.Jiangxi Acad Agr Sci, Nanchang 330200, Peoples R China
关键词: dendrogram;DNA fingerprinting;RGA;SRILS;Uniprimers
期刊名称:PHILIPPINE JOURNAL OF CROP SCIENCE ( 影响因子:0.265; 五年影响因子:0.333 )
ISSN: 0115-463X
年卷期: 2009 年 34 卷 2 期
页码:
收录情况: SCI
摘要: Rice breeding programs require a wide gene pool from which to assemble outstanding gene combinations. Germplasm diversity can be accurately evaluated through DNA fingerprinting. In this study, genetic variability and relationships among 265 rice germplasm accessions from the PhilRice Genebank were established from DNA fingerprints generated using two resistance gene analogue (RGA) markers: carboxy-terminal leucine-rich repeat (CLRR) and ribonuclease inhibitor leucine-rich repeat (RLRR), and two Uniprimers: Seoulin Research Institute Life Science-6 (SRILS6) and Seoulin Research Institute Life Science-8 (SRILS8). The DNA fingerprints showed that CLRR was the most discriminating marker, generating 48 polymorphic bands in the germplasm samples with an average of 29 bands per accession, and hence the most efficient marker for rapid DNA fingerprinting. On the average, however, the RGA and Uniprimer markers showed similar power in detecting polymorphism within the population for the entire germplasm population level. The average percentage of polymorphic bands generated by RGA and Uniprimer markers were 60.6 and 60.5%, respectively. Seven dendrograms were generated based on banding profiles generated by RGA and SRILS primers and their combinations, featuring two nearly even major groups: Groups I and II. Dendrogram analysis showed that both RGA and SRILS primers distinguished all 265 accessions, and revealed a high level of diversity among the accessions. The clustering patterns and the compositions of the groups were remarkably similar among the seven dendrograms ranging 88-97% match. This indicates that these particular RGA and SRILS markers amplify genomic regions that may have undergone mutations at comparative rates so as to manifest highly congruent genetic trees. The two DNA marker systems studied could be ideal tools for rapid DNA fingerprinting and diversity analysis of rice germplasm varieties, and hence, can be an important adjunct in rice germplasm management such as in germplasm identification, diversity analysis and assembly of core collections.
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