摘要
为了发掘新的穗部性状和株高QTL,利用扬麦17与扬麦18杂交后代206个单株组成的F2群体,构建了一个由141个SSR标记组成的全长1005.1cM的遗传图谱。该图谱包括26个连锁群,覆盖15条染色体,标记间平均距离为7.03cM。结合F2和F2:3群体的表型数据,对穗部性状和株高进行QTL分析,利用复合区间作图法检测出15个QTL,分布在2B、2D、4B、5A、5B和7A染色体上,其中4个QTL能够同时在两个世代被检测到,表型变异解释率为1.93%~20.78%,穗长QTLQSl-YY-2D、QSl-YY-5A和株高QTLQPh-YY-4B的贡献率超过10%。根据6VS特异性标记鉴定和表型调查结果,推测扬麦18的6VS上携带有增加穗长和穗粒数的基因,且为部分显性。2B染色体上总小穗数和5B染色体上穗粒数、穗基部结实粒数的QTL增效等位基因及2D、4B染色体上降低株高的QTL增效等位基因均来自扬麦18,表明该品种可作为具有高产潜力的小麦育种材料加以利用。
In order to excavate new quantitative trait loci(QTLs) for spike traits and plant height,206 F 2 plants and their F 2:3 lines derived from the cross between Yangmai 17 and Yangmai 18 were used to map the QTL for these traits.The genetic linkage map consists of 141 simple sequence repeat(SSR) markers covering 15 chromosomes,with the length of 1 005.1 cM and an average genetic distance of 7.03 cM.Fifteen QTLs on chromosomes 2B,2D,4B,5A,5B and 7A were identified by Composite Interval Mapping(CIM),explaining 1.93% to 20.78% of phenotypic variances.Among these,4 QTLs were detected in two generations,and QSl-YY-2D,QPh-YY-4B,QSl-YY-5A explained over 10% of the phenotypic variances.According to the 6VS specific marker identification combined with phenotypic investigation,it is assumed that 6VS of Yangmai 18 carries a partial dominant gene for increasing spike length(SL) and grain number per spike(GNS).The QTL on 2B controlling total spikelet number per spike(TSS),QTL on 5B increasing GNS and grain number in basal spikelet,and the dwarfing effect of 2D and 4B were all contributed by Yangmai 18,indicating that the genetic material could effectively be used to improve yield potential in wheat breeding.
作者
胡文静
高德荣
陆成彬
梁秀梅
石宜宗
程顺和
HU Wenjing;GAO Derong;LU Chengbin;LIANG Xiumei;SHI Yizong;CHENG Shunhe(Institute of Agriculture Sciences of the Lixiahe District,Branch of National Wheat Improvement Center,Yangzhou,Jiangsu 225007,China;College of Agronomy,Changjiang University,Jingzhou,Hubei 434023,China)
出处
《麦类作物学报》
CAS
CSCD
北大核心
2019年第5期505-512,共8页
Journal of Triticeae Crops
基金
国家重点研发计划项目(2016YFD0101802,2017YFD0100801)
国家现代农业产业技术体系建设专项(CARS-3-2-11)
江苏省自然科学基金项目(BK20171279)
扬州市现代农业项目(YZ2016033)