Jia Jun-Zhong, Tian Li-Ping, Xue Lin, Wei Yi-Nong
College of Life Science, Shihezi University, Shihezi, China.
Yi Chuan. 2010 Oct;32(10):1077-83. doi: 10.3724/sp.j.1005.2010.01077.
Two hundred and six F2:3 families from the cross between TD22 and HT-1-1-1-1 were used for dynamic QTL research of tomato soluble solid content and correlative traits, and correlation analysis of soluble solid content (SSC) with fruit weight (FW), fruit shape index (FSI), soluble sugar, vitamin C (VC), and organic acid at three different development stages. The results showed that there were differences in QTL loci for soluble solid content during the three stages of tomato fruit development. Four and eight QTLs were detected in green ripe stage and red ripe stage, respectively. These QTLs showed dynamic changes, and two markers LEaat006 and Tomato|TC162363 were detected in two stages, which might be useful in molecular-marker assisted selection (MAS). The result also showed that there was extremely significant difference in SSC at the three different stages, and its main correlative traits were different at different stages. Soluble solid content was positively correlated with soluble sugar, but negatively correlated with FW at green ripe stage; SSC was positively correlated with soluble sugar and organic acid at yellow ripe stage; SSC was positively correlated with soluble sugar and organic acid, but negatively correlated with fruit weight at red ripe stage. Based on correlation analysis of these traits, linear regression model was constructed. Non-tested varieties were used to test the fitness, and the result showed that it is well fitted, and the fitness is above 95%.
以TD22与HT-1-1-1-1杂交得到的206个F2:3家系为材料,开展番茄可溶性固形物含量及相关性状的动态QTL研究,并对三个不同发育时期的可溶性固形物含量(SSC)与果实重量(FW)、果形指数(FSI)、可溶性糖、维生素C(VC)和有机酸进行相关性分析。结果表明,番茄果实发育三个阶段可溶性固形物含量的QTL位点存在差异。在绿熟期和红熟期分别检测到4个和8个QTL。这些QTL表现出动态变化,在两个阶段检测到两个标记LEaat006和Tomato|TC162363,可能在分子标记辅助选择(MAS)中有用。结果还表明,三个不同阶段的SSC存在极显著差异,其主要相关性状在不同阶段也不同。绿熟期可溶性固形物含量与可溶性糖呈正相关,与果实重量呈负相关;黄熟期SSC与可溶性糖和有机酸呈正相关;红熟期SSC与可溶性糖和有机酸呈正相关,但与果实重量呈负相关。基于这些性状的相关性分析,构建了线性回归模型。用未检测的品种进行拟合检验,结果表明拟合良好,拟合度在95%以上。