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Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array

  • Sung Hyun Kim
  • , Prasanna R. Bhat
  • , Xinping Cui
  • , Harkamal Walia
  • , Jin Xu
  • , Steve Wanamaker
  • , Abdelbagi M. Ismail
  • , Clyde Wilson
  • , Timothy J. Close
  • University of California at Riverside
  • International Rice Research Institute
  • United States Department of Agriculture

科研成果: 期刊稿件文章同行评审

摘要

Background. A large number of genetic variations have been identified in rice. Such variations must in many cases control phenotypic differences in abiotic stress tolerance and other traits. A single feature polymorphism (SFP) is an oligonucleotide array-based polymorphism which can be used for identification of SNPs or insertion/deletions (INDELs) for high throughput genotyping and high density mapping. Here we applied SFP markers to a lingering question about the source of salt tolerance in a particular rice recombinant inbred line (RIL) derived from a salt tolerant and salt sensitive parent. Results. Expression data obtained by hybridizing RNA to an oligonucleotide array were analyzed using a statistical method called robustified projection pursuit (RPP). By applying the RPP method, a total of 1208 SFP probes were detected between two presumed parental genotypes (Pokkali and IR29) of a RIL population segregating for salt tolerance. We focused on the Saltol region, a major salt tolerance QTL. Analysis of FL478, a salt tolerant RIL, revealed a small (< 1 Mb) region carrying alleles from the presumed salt tolerant parent, flanked by alleles matching the salt sensitive parent IR29. Sequencing of putative SFP-containing amplicons from this region and other positions in the genome yielded a validation rate more than 95%. Conclusion. Recombinant inbred line FL478 contains a small (< 1 Mb) segment from the salt tolerant parent in the Saltol region. The Affymetrix rice genome array provides a satisfactory platform for high resolution mapping in rice using RNA hybridization and the RPP method of SFP analysis.

源语言英语
文章编号65
期刊BMC Plant Biology
9
DOI
出版状态已出版 - 1 12月 2009
已对外发布

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