作物学报2016，Vol.42Issue(10)：1437-1447,11.DOI:10.3724/SP.J.1006.2016.01437
利用水稻MAGIC群体关联定位白叶枯病抗性QTL和创制抗病新种质
Mapping of QTLs for Bacterial Blight Resistance and Screening of Resistant Materials Using MAGIC Populations of Rice
摘要
Abstract
Three genetically interconnected multi-parents advanced generation inter-cross (MAGIC) population, including two populations (DC1 and DC2) derived from four parents and one population from eight parents (DC3) were used to detect QTLs for resistance to two strains, a weak virulent C2 and a strong virulent GD-V ofXanthomonas oryzaepv. oryzae(Xoo) and to screen resistant breeding materials. Most parents were resistant to C2 and susceptible to GD-V. Transgressive segregations of lesion length for the two strains were observed in the three MAGIC populations and showed continuous distributions. A total of seven QTLs affecting lesion length of two strains were detected. Most QTLs showed quantitative resistance and obvious genetic back-ground effect. Among the seven QTLs,QBbr11-1andQBbr11-2 had less genetic background effect, which is valuable in rice breeding for disease resistance. Eight resistant lines pyramiding different QTLs were screened from the three MAGIC populations, indicating the combination of qualitative resistance gene and quantitative resistance gene can significantly improve resistance level. The eight resistant breeding lines could be used as resistant donors in rice breeding for resistance. The results indicated that the MAGIC populations are ideal material for genetic study and marker-assisted breeding, showing a tight integration of genetic research and breeding application in rice.关键词
MAGIC/水稻白叶枯病/QTL/全基因组关联分析/水稻Key words
Multi-parent Advanced Generation Inter-Crosses (MAGIC)/Rice bacterial blight/Quantitative trait loci (QTL)/Ge-nome-wide association study (GWAS)/Rice引用本文复制引用
陈天晓,朱亚军,密雪飞,陈凯,孟丽君,左示敏,徐建龙..利用水稻MAGIC群体关联定位白叶枯病抗性QTL和创制抗病新种质[J].作物学报,2016,42(10):1437-1447,11.基金项目
本研究由国家高技术研究发展计划(863计划)项目(2014AA10A601),深圳孔雀团队计划项目(20130415095710361),中国农业科学院科技创新工程团队和江苏重点研发计划(现代农业)(BE2015363)项目资助。This study was supported by National High-Tech Research & Development Plan (863 Program)(2014AA10A601), Shenzhen Peacock Plan (20130415095710361), Scientific and Technological Innovation Project of Chinese Academy of Agricultural Sciences, and the Key Research Plan of Modern Agriculture of Jiangsu Province (BE2015363) （863计划）
