论文部分内容阅读
水稻抗旱性属于复杂性状,近年的遗传研究日益关注胁迫下的产量相关位点。选用来自同一抗旱性较好的供体亲本(BG300),具有两种遗传背景(IR64和特青)和两种选择条件(低地和旱地)的4个水稻高代回交(BC2)抗旱性定向选择导入系群体。通过SSR分子标记,检测群体中供体等位基因的导入频率,分析了选择条件和遗传背景对供体等位基因导入频率的影响。在此基础上,利用基于遗传搭车原理的卡方检验对等位基因导入频率的偏离进行检测,同时结合表型-基因型方差分析(ANOVA)的方法,对上述群体进行了和抗旱性相关位点的QTL分析。共检测到显著位点24个,其中卡方检验发现20个,方差分析检测到8个。有4个被这两种方法都检测到,很可能是与胁迫下的产量直接相关的位点。同时也对非胁迫下的产量位点进行了检测,发现上述抗旱性位点与非胁迫下产量的关系不大。还就选择条件和遗传背景的效应等对目标性状QTL定位的影响进行了讨论。研究结果将为进一步的水稻抗旱性分子育种研究提供有用的信息和材料。
Drought resistance in rice is a complex trait. In recent years, genetic research has paid increasing attention to yield-related sites under stress. Four high-yielding backcrosses (BC2) were selected from the donor parents (BG300) with the same drought-resistance and the drought-resistant orientations with four genetic backgrounds (IR64 and Teqing) and two selection conditions (lowland and dryland) Select the import group. Through the SSR molecular markers, we detected the frequency of donor alleles introduced into the population and analyzed the influence of selection conditions and genetic background on donor allele frequency. Based on this, the deviation of allele import frequency was detected by chi-square test based on genetic algorithm, and the association with drought-resistance was analyzed by phenotypic-genotypic analysis of variance (ANOVA) Point QTL analysis. A total of 24 significant sites were detected, of which 20 were found by chi-square test and 8 were detected by analysis of variance. Four of these were detected by both methods, most likely sites that are directly related to stress production. At the same time, the non-stress yield sites were also tested and it was found that there was no significant relationship between the drought-resistance loci and the non-stress yield. The effects of selection conditions and genetic background effects on QTL mapping of target traits were also discussed. The results will provide useful information and materials for further molecular breeding of rice drought resistance.