黄倩,赵永国,黄祥伟,朱宗河,刘云清,马海清,程勇,邹锡玲,徐劲松,张学昆,陆光远.甘蓝型油菜蕾薹期抗旱相关性状的QTL分析[J].干旱地区农业研究,2017,35(6):88~94
甘蓝型油菜蕾薹期抗旱相关性状的QTL分析
QTL mapping of traits associated with drought resistance at bolting stage in Brassica napus
  
DOI:10.7606/j.issn.1000-7601.2017.06.14
中文关键词:  甘蓝型油菜  蕾薹期  遗传连锁图  抗旱性  QTL分析
英文关键词:Brassica napus  bolting stage  genetic linkage map  drought resistance  QTL analysis
基金项目:国家自然科学基金项目(31371663);湖北省农业科技创新中心项目,中国农业科学院科技创新工程
作者单位
黄倩 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
赵永国 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
黄祥伟 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
朱宗河 安徽农业大学农学院 安徽 合肥 230036 
刘云清 湖北省浠水县农业局, 湖北 浠水 438200 
马海清 湖北省浠水县农业局, 湖北 浠水 438200 
程勇 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
邹锡玲 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
徐劲松 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
张学昆 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
陆光远 农业部油料作物生物学与遗传育种重点实验室/中国农业科学院油料作物研究所 湖北 武汉 430062 
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中文摘要:
      蕾薹期是甘蓝型油菜对干旱最为敏感的时期之一。以抗旱品系QY8-1和干旱敏感品种沪油16构建的含183个家系的F2∶3群体为研究材料,在现蕾至抽薹期进行干旱胁迫处理,正常灌溉为对照。结果表明,与对照相比,干旱胁迫后群体的抽薹高度、单株鲜重和叶片萎蔫指数平均下降了52.6%~55.3%,而且三个指标高度正相关。利用335个SRAP标记构建了一个长度为1661.9 cM的遗传图谱,通过复合区间作图法共检测到28个QTL,分布在14个连锁群上,可解释1.1%~36.6%的表型变异。其中,利用抽薹高度共检测到10个QTL,位于第15连锁群的qSH-D-5可解释36.6%的表型变异,为主效QTL。该区间还检测到其它3个QTL(qSH-DRI-1、qSH-D-5和qLWI-D-1),在抗旱分子标记辅助选择中应予以重点关注。同样,在第16连锁群(标记区间Em01/Me12-1—Em01Me09-1)也检测到4个重合的QTL,贡献率为1.1%~8.1%,为微效QTL。
英文摘要:
      Bolting is one of the most sensitive stages to drought stress in Brassica napus. To identify quantitative trait loci(QTL) associated with drought resistance at bolting stage, we generated a F2∶3 populations with 183 lines by crossing drought-resistant line QY8-1 with the drought-sensitive one Huyou16. This population was subjected to two treatments, namely drought stress from bud emerging to bolting stages and well-water at the same stages. The results showed that shoot height, single plant fresh weight and leaf wilting index were all decreased by 52.6%~55.3% in average under drought stress compared to the control. Moreover, the three traits were highly positively correlated, indicating that they are suitable drought-resistant indicators. A linkage map was constructed with 335 SRAP markers, covering a total length of 1661.9 cM. By using composite interval mapping method, a total of 28 QTLs were detected across 14 linkage groups (LG), accounting for 1.1% to 36.6% of trait variation. Among these, 10 QTLs were identified for shoot height, and the one in LG15 (qSH-D-5) was a major QTL accounting for 36.6% of variation. There were three other QTLs(qSH-DRI-1、qSH-D-5 and qLWI-D-1) overlapping this interval, thus being an important genetic region for breeding selection via molecular markers. Meanwhile, there were also 4 minor QTLs overlapping at marker interval Em01/Me12-1—Em01Me09-1 in LG16, only accounting for 1.1%~8.1% of trait variation.
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