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作 者:毕俊鸽 曾占奎 李琼 洪壮壮 颜群翔 赵越 王春平[1,2] BI Jun-Ge;ZENG Zhan-Kui;LI Qiong;HONG Zhuang-Zhuang;YAN Qun-Xiang;ZHAOYue;WANG Chun-Ping(College of Agriculture,Henan University of Science and Technology/Henan Dryland Crop Germplasm Resources Utilization Engineering Research Center,Luoyang 471000,Henan,China;Shennong Laboratory,Zhengzhou 45000,Henan,China)
机构地区:[1]河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心,河南洛阳471000 [2]神农种业实验室,河南郑州450000
出 处:《作物学报》2024年第7期1669-1683,共15页Acta Agronomica Sinica
基 金:河南省重大科技专项“小麦营养基因组学解析及功能食品创制与产业化”项目(231100110300);神农种业实验室“一流课题”项目(SN01-2022-01)资助。
摘 要:本研究利用小麦55K SNP(55K single-nucleotide polymorphism)芯片和DArT(diversity array technology)标记对Avocet/Chilero和Avocet/Huites构建的两个F6重组自交系群体(recombinant inbred line,RIL)进行了小麦籽粒蛋白质含量(grain protein content,GPC)、湿面筋含量(wet gluten content,WGC)和沉降值(sedimentation value,SV)的QTL(quantitative trait loci)定位。共鉴定到68个与小麦籽粒蛋白质含量、湿面筋含量和沉降值相关的QTL,表型贡献率为3.60%~22.53%,其中,位于3A(2)、4D、5D(2)、6A(8)和7B染色体上的14个QTL可在多环境下被重复检测到。此外,在3A、3D、4B、5D、6A(2)和7B染色体上检测到7个QTL簇,位于3AS染色体9.32~60.01 Mb和6AS染色体38.47~82.95 Mb的稳定QTL簇C3A和C6A.2,同时与小麦籽粒蛋白质含量、湿面筋含量和沉降值显著相关,分别解释了6.55%~14.21%和3.83%~22.53%的表型变异。同时,在2个QTL簇中筛选到16个可能与籽粒蛋白质含量相关的候选基因,并根据候选基因开发了可供育种利用的KASP标记CGPC-6A-KASP-1和CGPC-6A-KASP-2。本研究为小麦籽粒品质相关性状的遗传改良提供了新的QTL位点和KASP标记,为分子标记辅助育种提供依据与参考。We utilized a 55K single-nucleotide polymorphism(55K SNP)array and diversity array technology(DArT)to identify QTLs for grain protein content(GPC),wet gluten content(WGC),and sedimentation value(SV)in two F6 recombinant inbred lines derived from Avocet/Chilero and Avocet/Huites.Sixty-eight QTLs were identified related to grain protein content,wet gluten content,and settlement value,explaining 3.60%–22.53%of the phenotypic variances.Fourteen QTLs were found to be present in multiple environments,located on chromosomes 3A(2),4D,5D(2),6A(8),and 7B,respectively.Additionally,seven QTLs clusters were detected on chromosomes 3A,3D,4B,5D,6A(2),and 7B,respectively.Two stable QTL clusters,C3A and C6A.2,identified in the physical intervals of 9.32–60.01 Mb and 38.47–82.95 Mb,respectively,were significantly associated with grain protein content and wet gluten content.These clusters accounted for 6.55%–14.21%and 3.83%–22.53%of the phenotypic variances for grain protein content,wet gluten content,and sedimentation value.Meanwhile,a total of 16 candidate genes associated with grain protein content were predicted within the two stable QTL clusters.Moreover,two KASP marker,CGPC-6A-KASP-1 and CGPC-6A-KASP-2,were developed based on the candidate genes.The findings of this study provide support for the identification of new QTL and KASP markers that can contribute to the genetic improvement of grain quality-related traits in wheat.These results also offer valuable insights for marker-assisted breeding in wheat.
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