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种子硫苷在甘蓝型油菜中有着重要的生物学作用和经济价值。本文旨在通过复合区间作图法利用高密度SNP遗传连锁图谱定位种子硫苷的QTL。用近红外扫描获得种子硫苷含量,每株系扫描3次,取平均值。所用的高密度SNP遗传图谱包含2795个SNP多态性标记位点,图谱总长1832.9 cM,相邻标记间平均距离为0.66 cM。定位了2年的种子硫苷含量QTL,其中有5个QTL在2年内被重复检测到,分别分布在A03、A09和C02染色体上,LOD阈值在2.90~10.40之间。这些QTL在2011和2012年试验中分别解释了56.9%和55.1%的表型变异。另外有5个QTL仅在其中一年被检测到,这些QTL能够解释4.1%~7.9%的表型变异,QTL阈值在2.53~3.83之间。
Seed glucosinolates have important biological roles and economic value in Brassica napus. The aim of this paper is to map the QTLs of seed glucosinolates by high-density SNP genetic linkage map by composite interval mapping. The content of glucosinolate was obtained by near-infrared scanning. Each line was scanned 3 times and averaged. The high-density SNP genetic map used contains 2795 SNP polymorphic loci with a total length of 1832.9 cM and an average distance of 0.66 cM between adjacent markers. QTLs for 2-year-old seed glucosinolates were located, of which 5 QTLs were repeatedly detected within 2 years and distributed on A03, A09 and C02 chromosomes, respectively. The LOD threshold ranged from 2.90 to 10.40. These QTLs explained 56.9% and 55.1% of the phenotypic variation in the 2011 and 2012 trials, respectively. In addition, five QTLs were detected in only one year. These QTLs can explain phenotypic variation of 4.1% ~ 7.9% with a QTL of between 2.53 and 3.83.