摘要：株型改良是实现大豆高产育种的重要手段之一，主茎节数和分枝则是大豆株型的重要构成因子,其遗传机理有待进一步明确。本研究利用覆盖全基因组 1749 个单核苷酸多态性（SNP）标记，对主茎节数和分枝数两个性状进行全基因组关联分析。结果表明：主茎节数的变异系数为 9.01%，分枝数变异系数为 31.96%，主茎节数和分枝数这两个性状基本符合正态分布。通过方差分析发现品种间存在极显著差异，主茎节数和分枝呈极显著相关。在 P<10-3（-log10P>3.00）条件下，运用 MLM模型对 2 个性状共同关联到 15个 SNPs。主茎节数关联到 7 个位点，分别位于 1、2、5、6、10和 11号染色体上；分枝关联到 8 个位点，分别位于 2、6、7、8、13 和 18 号染色体上。该研究结果对大豆主茎节数和分枝数性状改良以及分子标记辅助选择育种奠定了基础。27430
毕业论文关键词：大豆；主茎节数；分枝；全基因组关联分析
Genome wide association analysis of plant related traits in SoybeanAbstract:Plant type improvement is one of the important means to realize soybean high-yielding breeding.The main stem number and branching are important constituent factors of soybean plant type, and thegenetic mechanism needs to be further clarified. In this study, 1749 single nucleotide polymorphisms(SNPs) were used to map the whole genome and the number of branches and the number of branches wereanalyzed by genome-wide association. The results showed that the coefficient of variation of main stemnumber was 9.01%, the coefficient of variation of branch number was 31.96%, and the number of mainstem number and branch number were basically normal distribution. The variance analysis showed thatthere were significant differences among varieties, and the number of main stem nodes and branches weresignificantly correlated. Under the condition of P <10-3(-log10P> 3.00), two SNPs were associated with twotraits using MLM model. The number of stem nodes was associated with 7 loci on chromosomes 1, 2, 5, 6,10 and 11, respectively. The branches were linked to 8 loci, located at 2,6,7,8,13 and 18 Chromosome. Theresults of this study laid the foundation for the improvement of soybean stem number and branch numberand molecular marker assisted selection breeding.Key words:Soybean, stem number, branching, Genome-wide Association
目 录
摘 要2
关键词2
Abstract.2
Key words. 2
1 引言..3
1.1 大豆株型性状对产量的影响.. 3
1.2 关联分析...3
1.2.1 关联分析的概念及其特点... 4
1.2.2 影响关联分析的因素... 4
1.2.3 关联分析在大豆中的应用... 4
1.3 大豆株型性状的基因/QTL 定位研究进展 5
1.3.1 主茎节数基因/QTL 定位. 5
1.3.2 分枝数基因/QTL 定位. 5
1.4 目的和意义...6
2 试验材料与方法..6
2.1 试验材料...6
2.2 田间试验设计...7
2.3 农艺性状测定...7
2.4 表型数据和分子数据分析.. 7
2.4.1 表型数据分析... 7
2.4.2 分子数据分析... 7
2.4.2.1 SNP 标记遗传多样性分析8
2.4.2.2 连锁不平衡分析 8
2.4.2.3 群体结构和群体间亲缘关系分析 8
2.4.2.4 全基因组关联分析 8
3 结果分析..9
3.1 表型数据分析...9
3.1.1 大豆主茎节数和分枝性状的描述性统计分析...9
3.1.2 大豆主茎节数和分枝性状的方差分析及广义遗传率的计算...9
3.1.3 大豆主茎节数和分枝性状的简单相关分析.10
3.2 主茎节数和分枝数性状的全基因组关联分析 10
3.2.1 主茎节数的全基因组关联分析. 10
3.2.2 分枝数的全基因组关联分析. 11
4 讨论11
4.1 大豆主茎节数和分枝性状的表型鉴定 11
4.2 大豆主茎节数和分枝性状的全基因组关联分析12
致 谢..13 大豆株型相关性状的全基因组关联分析:http://www.youerw.com/shengwu/lunwen_21909.html