Finding new addictive QTL for yield traits based on a high-density genetic map in hybrid rice
文献类型: 外文期刊
作者: Zhang, Miao 1 ; Zhou, Zheng-ping 1 ; Chen, Yu-yu 1 ; Cao, Yong-run 1 ; Deng, Chen-wei 1 ; Xue, Pao 1 ; Zhan, Xiao-deng 1 ;
作者机构: 1.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 311401, Peoples R China
2.China Natl Rice Res Inst, Chinese Natl Ctr Rice Improvement, Hangzhou 311401, Peoples R China
关键词: Recombinant inbred sister lines; High-density linkage map; Yield; Quantitative trait loci; Oryza sativaL
期刊名称:PLANT GROWTH REGULATION ( 影响因子:3.412; 五年影响因子:3.691 )
ISSN: 0167-6903
年卷期:
页码:
收录情况: SCI
摘要: Rice is one of the most important food crops in the world. To discover the genetic basis of yield components in super hybrid rice Nei2You No.6, 386 recombinant inbred sister lines (RISLs) were obtained for mapping quantitative trait loci (QTL) responsible for grain yield per plant, number of panicles per plant, grain number per panicle and 1000-grain weight. Using whole genome re-sequencing, a high-density linkage map consisting of 3203 Bin markers was constructed with total genetic coverage of 1951.1 cM and average density of 0.61 cM. A total of 43 yield-related QTL were mapped to all 12 chromosomes, and each explained 2.40-10.17% phenotypic variance, indicating that the medium and minor effect QTL are genetic basis for high yield of Nei2You No.6. With positive effect, 28 out of the 43 QTL are inherited from the maintainer line (Nei2B). Nine loci,qGYP-6b,qGNP-6c,qNP-7,qTGW-1a,qTGW-5,qTGW-7,qTGW-10b,qTGW-10candqTGW-12showed stable effects across multiple environments. Five of these nine QTL were co-located with previously reported QTL, and four novel locus,qNP-7,qGNP-6c,qTGW-7andqTGW-12, were firstly identified in the present study. Subsequently,qNP-7,qTGW-7andqTGW-12were validated using corresponding paired sister lines which differed only in the target genome region. The recombinant inbred sister lines is an effective tool for mapping and confirming QTL of yield-associated traits. Newly detected QTL provide new resource for investigating genetics of yield components and will accelerate molecular breeding in rice.
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