QTL Mapping of Agronomic Traits Using an Introgression Line Population Derived from an Intersubspecific Cross in Rice

  • Oh, Chang-Sik (College of Agriculture & Life Sciences, Chungnam National University) ;
  • Park, In-Kyu (College of Agriculture & Life Sciences, Chungnam National University) ;
  • Kim, Dong-Min (College of Agriculture & Life Sciences, Chungnam National University) ;
  • Ahn, Sang-Nag (College of Agriculture & Life Sciences, Chungnam National University)
  • Received : 2010.10.29
  • Published : 2010.12.31

Abstract

The objectives of this study were to identify QTLs for agronomic traits using introgression lines from a cross between a japonica weedy rice and a Tongil-type rice. A total of 75 introgression lines developed in the Tongil-type rice were characterized. A total of 368 introgressed segments including 285 homozygous and 83 heterozygous loci were detected on 12 chromosomes based on the genotypes of 136 SSR markers. Each of 75 introgression lines contained 0-9 homozygous and 0-8 heterozygous introgressed segments with an average of 5.8 segments per line. A total of 31 quantitative and 2 qualitative loci were identified for 14 agronomic traits and each QTL explained 4.1% to 76.6% of the phenotypic variance. Some QTLs were clustered in a few chromosomal regions. A first cluster was located near RM315 and RM472 on chromosome 1 with QTLs for 1,000 grain weight, culm length, grain width and thickness. Another cluster was detected with four QTLs for 1,000 grain weight, grain length, grain width and grain length/width ratio near the SSR marker RM249 on chromosome 5. Among the 31 QTLs, 9 (28.1%) Hapcheonaengmi3 alleles were beneficial in the Milyang23 background. ILs would be useful to confirm QTLs putatively detected in a primary mapping population for complex traits and serve as a starting point for map-based cloning of the QTLs. Additional backcrosses are being made to purify nearly isogenic lines (NILs) harboring a few favorable Hapcheonaengmi3 alleles in Milyang23 background.

Keywords

Acknowledgement

Supported by : Crop Functional Genomics Center

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