Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
임정현, 양현정, 정기홍, 유수철, 백남천,
소속 상세정보
임정현 ( Lim Jung-Hyun )
Seoul National University and Research Institute for Agriculture and Life Sciences Center for Agricultural Biomaterials Plant Genomics and Breeding Institute Department of Plant Science
양현정 ( Yang Hyun-Jung )
Seoul National University and Research Institute for Agriculture and Life Sciences Center for Agricultural Biomaterials Plant Genomics and Breeding Institute Department of Plant Science
정기홍 ( Jung Ki-Hong )
Kyung Hee University Graduate School of Biotechnology and Crop Biotech Institute
유수철 ( Yoo Soo-Cheul )
Seoul National University and Research Institute for Agriculture and Life Sciences Center for Agricultural Biomaterials Plant Genomics and Breeding Institute Department of Plant Science
백남천 ( Paek Nam-Chon )
Seoul National University and Research Institute for Agriculture and Life Sciences Center for Agricultural Biomaterials Plant Genomics and Breeding Institute Department of Plant Science
KMID : 0578320140370020149
Abstract
Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits: plant height, tiller number, panicle diameter, panicle length, flag leaf length, and flag leaf width. We performed QTL analysis with 178 F7 recombinant in-bred lines (RILs) from a cross of japonica rice line ‘SNUSG1’ and indica rice line ‘Milyang23’. Using 131 molecular markers, including 28 insertion/deletion markers, we identified 11 main- and 16 minor-effect QTLs for the six traits with a threshold LOD value > 2.8. Our sequence analysis identified fifty-four candidate genes for the main-effect QTLs. By further comparison of coding sequences and meta-expression profiles between japonica and indica rice varieties, we finally chose 15 strong candidate genes for the 11 main-effect QTLs. Our study shows that the whole-genome sequence data substantially enhanced the efficiency of polymorphic marker development for QTL fine-mapping and the identification of possible candidate genes. This yields useful genetic resources for breeding high-yielding rice cultivars with improved plant architecture.
키워드
agronomic trait; plant shape; quantitative trait loci; rice; whole genome re-sequencing
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