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作 者:孙迎凯 李翔 刘天相[1] 张冰月 赵艺清 关露露 贾亚涛 马超 沈仲 赵力克 胡银岗[1] 吉万全[1] 史学芬 白海波[3] 王中华[1] SUN Yingkai;LI Xiang;LIU Tianxiang;ZHANG Bingyue;ZHAO Yiqing;GUAN Lulu;JIA Yatao;MA Chao;SHEN Zhong;ZHAO Like;HU Yingang;JI Wanquan;SHI Xuefen;BAI Haibo;WANG Zhonghua(State Key Laboratory for Crop Stress Resistance and High-Efficiency Production,College of Agronomy,Northwest A&F University,Yangling,Shannxi 712100,China;Ordos Academy of Agricultural and Animal Husbandry Sciences,Ordos,Inner Mongolia 017000,China;Agricultural Bio-Technology Research Center,Ningxia Academy of Agriculture and Forestry Science,Yinchuan,Ningxia 750002,China)
机构地区:[1]西北农林科技大学农学院作物抗逆与高效生产全国重点实验室,陕西杨陵712100 [2]鄂尔多斯农牧科学院,内蒙古鄂尔多斯017000 [3]宁夏农林科学院农业生物技术研究中心,宁夏银川750002
出 处:《麦类作物学报》2025年第1期1-15,共15页Journal of Triticeae Crops
基 金:国家外国专家局“作物抗病与遗传改良育种”项目(B18042);高校引进创新学科人才计划(111工程)项目;国家自然科学基金项目(31660394);宁夏回族自治区农业与农村重点研发计划项目(2021BEF02033)。
摘 要:合成六倍体小麦作为一种重要的遗传资源,在籽粒相关性状的研究中起着关键作用。为进一步挖掘合成六倍体小麦籽粒相关性状的数量性状位点(quantitative trait loci,QTL),本研究以西农389与合成六倍体小麦KU2098杂交得到的154个重组自交系(recombinant inbred lines,RIL)群体为材料,用小麦55K SNP芯片构建遗传图谱,对粒长、粒宽、粒面积、粒周长、粒长宽比、千粒重、蛋白质含量、淀粉含量、湿面筋含量共9个籽粒相关性状进行了QTL定位分析。结果表明,在除7B染色体外的20条染色体上共鉴定出84个QTL;这些QTL的LOD值在2.54~39.9之间,解释了0.91%~43.41%表型变异;84个QTL包括31个主要QTL和10个稳定QTL。在1A(1)、1B(1)、1D(1)、2D(1)、4D(1)、5A(1)、5D(1)、6A(2)、6B(2)和7D(1)染色体上共鉴定出12个与籽粒性状相关的QTL簇。在QTL簇C8对应的遗传区间中,筛选到2个有关籽粒性状的基因;在QTL簇C3的遗传区间中,筛选到4个有关品质性状的基因。鉴定出的QTL可为小麦产量和品质改良提供参考。As a crucial genetic resource,synthetic hexaploid wheat plays a key role in studying of kernel-related traits.In order to further explore the quantitative trait loci(QTL)of kernel-related traits in wheat,a RIL population consisting of 154 lines derived from a cross between XN389 and a synthetic hexaploid wheat(KU2098)was used as materials.Wheat 55K SNP array was used to construct the genetic map and QTLs for nine kernel-related traits were identified,including kernel length(KL),kernel width(KW),kernel area(KA),kernel perimeter(KP),kernel length width ratio(KLWR),thousand-kernel weight(TKW),kernel protein content(KPC),SC(starch content)and wet gluten content(WGC).A total of 84 additive QTLs were identified across 21 wheat chromosomes,except for chromosome 7B.The individual QTL explained the phenotypic variation from 0.91%to 43.41%,with LOD values ranging from 2.54 to 39.96.Among them,31 major and 10 stable QTLs were identified.A total of twelve QTL clusters,encompassing QTLs associated with kernel-related traits,were identified on chromosomes 1A(1),1B(1),1D(1),2D(1),4D(1),5A(1),5D(1),6A(2),6B(2)and 7D(1).In the corresponding physical interval of QTL cluster C8,two candidate genes related to kernel traits were identified.Four candidate genes related to quality traits were identified in physical region of QTL cluster C3.The QTLs can provide reference for yield and quality improvement of wheat.
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