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作 者:吴国芳 于卓[1] 卢倩倩 于肖夏[1] 牛亚青青 石悦[1] 李佳奇 WU Guofang;YU Zhuo;LU Qianqian;YU Xiaoxia;NIU Yaqingqing;SHI Yue;LI Jiaqi(Agronomy College,Inner Mongolia Agricultural University,Hohhot 010019,China)
机构地区:[1]内蒙古农业大学农学院
出 处:《西北植物学报》2019年第12期2170-2178,共9页Acta Botanica Boreali-Occidentalia Sinica
基 金:国家自然科学基金(31772644)
摘 要:为了深入开展高丹草低氢氰酸含量性状的QTL精细定位、基因图位克隆、功能解析及分子标记辅助育种,该研究以二倍体杂交高丹草F2代群体500个分离单株无性系及其亲本为材料,在课题组前期已构建出的高丹草高密度分子遗传连锁图谱的基础上,利用区间作图法对两年两地测定的高丹草氢氰酸含量性状进行了QTL定位分析。结果显示:(1)在4个不同环境下高丹草氢氰酸含量性状的广义遗传率分别为61.70%、72.05%、40.16%和69.25%,表明氢氰酸含量是既受环境影响又受微效多基因控制的数量性状,而且其群体测定值频率呈明显单峰正态性分布特点,符合QTL定位要求。(2)在LOD>2.5的条件下,共检测到16个与氢氰酸含量性状相关的QTLs,其分布在LG1、LG2、LG4、LG6、LG7、LG8和LG10连锁群上。(3)16个QTLs中能重复检测到的稳定QTLs有9个,遗传贡献率范围为1.17%~39.9%,其中贡献率大于20%的主效QTLs有Qcn2-2、Qcn4-1、Qcn6和Qcn6-1共4个。该研究结果明确了各QTLs的遗传效应和分子标记位点。In order to intensify QTL fine mapping, map-based gene cloning, functional analysis and molecular marker assisted breeding of the low hydrocyanic acid content trait of sorghum-sudangrass, we used 500 isolated individual clone plants and their parents of diploid hybrid sorghum-sudangrass F2 generation population as materials, which was constructed in the early stage of the research group. The QTL mapping of hydrocyanic acid content trait of the high-density molecular linkage map of sorghum-sudangrass was determined by interval mapping method. The results showed that:(1) the generalized heritability of the hydrocyanic acid traits in the four different environments was 61.70%, 72.05%, 40.16% and 69.25%, respectively, indicating that the hydrocyanic acid content is both environmentally affected and controlled by micro-effects. The frequency of population measurements showed a characteristic of single-peak normal distribution, which met the QTL mapping requirements.(2) Under the condition of LOD>2.5, 16 QTLs related to hydrocyanic acid traits were detected, which were distributed on LG1, LG2, LG4, LG6, LG7, LG8 and LG10 linkage groups.(3) There are 9 stable QTLs that can be repeatedly detected in 16 QTLs, and the genetic contribution rate ranges from 1.17% to 39.9%. Among them, the main QTLs with contribution rate >20% are Qcn2-2, Qcn4-1, Qcn6 and Qcn6-1, a total of four. The experiment identified the genetic effects and molecular marker sites of each QTL.
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