摘要
关联分析是一种分辨率较高的高效QTL定位方法。为初步揭示甘蓝型油菜油酸、亚油酸和亚麻酸的遗传基础,挖掘可能控制该性状的候选基因位点,选取192份甘蓝型油菜品种和自交系构建自然群体,利用1 109个SSR和AFLP标记对菜籽中油酸、亚油酸、亚麻酸进行了初步全基因组关联分析。在最优的Q＋K模型下,2009-2011年3年共检测到93个显著关联的标记位点,对表型解释的效应值在3.04%-38.34%之间,其中有49个标记在2年或3年中被同时检测到（P〈0.001）。共检测到15个标记与多个性状共关联,其中有9个与油酸和亚油酸共关联。同时也检测到一些对油酸具有正向贡献的优异等位基因。这些优异等位基因的聚合将有助于改良甘蓝型油菜的脂肪酸成分。
Association mapping is a powerful approach to detect the genetic basis of complex quantitative traits with high resolution. To unravel the genetic basis of oleic acid,linoleic acid and linolenic acid in oilseed rape,and search the potential candidate locus underlying these fatty acid component traits,a panel of 192 inbred lines of Brassica napus was genotyped using 1 109 single- locus microsatellite markers and amplified fragment length polymorphism（ AFLP） markers. Using the optimal Q ＋ K model,association analyses were carried out for oleic acid,linoleic acid and linolenic acid in 3 years. A total of 93 associated loci were detected. The effects of phenotypic variance explained by associated markers were between 3. 04% and 38. 34%. Among them,49 markers were repeatedly detected at least in 2 years. 15 common markers were repeatedly detected with correlated traits in the association mapping. The combination of favorable alleles of multiple associated markers could enhance trait performance of rapeseed variety for fatty acid components traits.
出处
《中国油料作物学报》
CAS
CSCD
北大核心
2016年第4期397-405,共9页
Chinese Journal of Oil Crop Sciences
基金
国家自然科学基金(31071452)
河南省基础与前沿技术研究计划(162300410152)
国家现代农业产业技术体系建设专项资金(CARS-13)
河南省重大专项(151100111200)
