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Mapping and genetic validation of a grain size QTL qGS7.1 in rice(Oryza sativa L.)

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【作者】 XUE PaoZHANG Ying-xinLOU Xiang-yangZHU Ai-keCHEN Yu-yuSUN BinYU PingCHENG Shi-huaCAO Li-yongZHAN Xiao-deng

【Author】 XUE Pao;ZHANG Ying-xin;LOU Xiang-yang;ZHU Ai-ke;CHEN Yu-yu;SUN Bin;YU Ping;CHENG Shi-hua;CAO Li-yong;ZHAN Xiao-deng;Zhejiang Key Laboratory of Super Rice Research/State Key Laboratory of Rice Biology/China National Rice Research Institute;Nanchong Academy of Agricultural Sciences;National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University;Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences;

【通讯作者】 CAO Li-yong;ZHAN Xiao-deng;

【机构】 Zhejiang Key Laboratory of Super Rice Research/State Key Laboratory of Rice Biology/China National Rice Research InstituteNanchong Academy of Agricultural SciencesNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityInstitute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences

【摘要】 Grain size is a major determinant of grain weight, which is one of the components of rice yield. The objective o this study was to identify novel, and important quantitative trait loci(QTLs) for grain size and weight in rice. QTLs were mapped using a BC4F4 population including 192 backcross inbred lines(BILs) derived from a backcross between Xiaolijing(XLJ) and recombinant inbred lines(RILs). The mapping population was planted in both Lingshui(Hainan, 2015) and Fuyang(Zhejiang, 2016), with the short-and long-day conditions, respectively. A total of 10 QTLs for grain length, four for grain width, four for the ratio of grain length to width, and 11 for grain weight were detected in at least one environment and were distributed across 11 chromosomes. The phenotypic variance explained ranged from 6.76–25.68%, 14.30–34.03%, 5.28–26.50%, and 3.01–22.87% for grain length, grain width, the ratio of grain length to width, and thousand grain weight, respectively. Using the sequential residual heterozygotes(SeqRHs) method, qGS7.1, a QTL for grain size and weight, was mapped in a 3.2-Mb interval on chromosome 7. No QTLs about grain size and weight were reported in previous studies in this region, providing a good candidate for functional analysis and breeding utilization.

【Abstract】 Grain size is a major determinant of grain weight, which is one of the components of rice yield. The objective o this study was to identify novel, and important quantitative trait loci(QTLs) for grain size and weight in rice. QTLs were mapped using a BC4F4 population including 192 backcross inbred lines(BILs) derived from a backcross between Xiaolijing(XLJ) and recombinant inbred lines(RILs). The mapping population was planted in both Lingshui(Hainan, 2015) and Fuyang(Zhejiang, 2016), with the short-and long-day conditions, respectively. A total of 10 QTLs for grain length, four for grain width, four for the ratio of grain length to width, and 11 for grain weight were detected in at least one environment and were distributed across 11 chromosomes. The phenotypic variance explained ranged from 6.76–25.68%, 14.30–34.03%, 5.28–26.50%, and 3.01–22.87% for grain length, grain width, the ratio of grain length to width, and thousand grain weight, respectively. Using the sequential residual heterozygotes(SeqRHs) method, qGS7.1, a QTL for grain size and weight, was mapped in a 3.2-Mb interval on chromosome 7. No QTLs about grain size and weight were reported in previous studies in this region, providing a good candidate for functional analysis and breeding utilization.

【基金】 supported by grants from the National Key Research and Development Program of China (2018YFD0100806);the Zhejiang Provincial Natural Science Foundation of China (LY18C130008);the National Natural Science Foundation of China (31521064);the Major Project of the Genetically Modified and National Key Transgenic Research Projects, China (2016ZX08001-002);the Super Rice Breeding Innovation Team and Rice Heterosis Mechanism Research Innovation Team of the Chinese Academy of Agricultural Sciences Innovation Project (CAASASTIP-2013-CNRRI)
  • 【文献出处】 Journal of Integrative Agriculture ,农业科学学报(英文版) , 编辑部邮箱 ,2019年08期
  • 【分类号】S511
  • 【被引频次】1
  • 【下载频次】39
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