Field pea(Pisum sativum L.) is an important protein-rich pulse crop produced globally. Increasing the lipid content of Pisum seeds through conventional and contemporary molecular breeding tools may bring added value t...Field pea(Pisum sativum L.) is an important protein-rich pulse crop produced globally. Increasing the lipid content of Pisum seeds through conventional and contemporary molecular breeding tools may bring added value to the crop. However, knowledge about genetic diversity and lipid content in field pea is limited. An understanding of genetic diversity and population structure in diverse germplasm is important and a prerequisite for genetic dissection of complex characteristics and marker-trait associations. Fifty polymorphic microsatellite markers detecting a total of 207 alleles were used to obtain information on genetic diversity, population structure and marker-trait associations. Cluster analysis was performed using UPGMA to construct a dendrogram from a pairwise similarity matrix. Pea genotypes were divided into five major clusters. A model-based population structure analysis divided the pea accessions into four groups. Percentage lipid content in 35 diverse pea accessions was used to find potential associations with the SSR markers. Markers AD73, D21, and AA5 were significantly associated with lipid content using a mixed linear model(MLM) taking population structure(Q) and relative kinship(K) into account. The results of this preliminary study suggested that the population could be used for marker-trait association mapping studies.展开更多
本研究以240份大麦品种(系)为材料,利用大麦40K SNP芯片进行基因型分析,并通过一年两点对8个农艺性状进行鉴定,基于混合线性模型(mixed linear model,MLM)进行全基因组关联分析(genome-wide association study,GWAS)。结果表明,8个主要...本研究以240份大麦品种(系)为材料,利用大麦40K SNP芯片进行基因型分析,并通过一年两点对8个农艺性状进行鉴定,基于混合线性模型(mixed linear model,MLM)进行全基因组关联分析(genome-wide association study,GWAS)。结果表明,8个主要农艺性状均呈现正态分布。使用Admixture软件对240份大麦品种(系)质控后的基因型进行群体结构分析,240份材料大致分为10个亚群。GWAS共检测到118个分别与株高、穗长、芒长、有效分蘖数、总分蘖数、穗粒数、穗粒重和千粒重显著相关的SNP位点,分布在1H、2H、3H、4H、5H、6H和7H染色体上,其中有6个SNP位点可同时控制两个农艺性状,2个SNP位点可同时控制3个农艺性状。确定了24个与SNP位点对应的QTL,其中控制株高的QTL有2个,穗长QTL有1个,芒长QTL有2个,有效分蘖数QTL有2个,总分蘖数QTL有1个,穗粒数QTL有4个,穗粒重QTL有10个,千粒重QTL有8个。在黄羊和永昌环境点中,稳定的QTL有1个,株高、穗长、有效分蘖数和总分蘖数只在一个环境点存在QTL位点,其余4个农艺性状分布在两个环境点不同的QTL位点中。根据关联分析结果,以显著位点上下游150 kb范围作为置信区间,在1H、2H、3H、4H、5H和6H染色体上共寻找到32个基因,基于前人研究和Blast基因注释共筛选到2个最有可能与大麦的生长发育等方面相关的候选基因。展开更多
基金supported by the Natural Sciences and Engineering Research Council of Canada Collaborative Research and Development and Lefsrud Seeds (CRDRJ385395-09)
文摘Field pea(Pisum sativum L.) is an important protein-rich pulse crop produced globally. Increasing the lipid content of Pisum seeds through conventional and contemporary molecular breeding tools may bring added value to the crop. However, knowledge about genetic diversity and lipid content in field pea is limited. An understanding of genetic diversity and population structure in diverse germplasm is important and a prerequisite for genetic dissection of complex characteristics and marker-trait associations. Fifty polymorphic microsatellite markers detecting a total of 207 alleles were used to obtain information on genetic diversity, population structure and marker-trait associations. Cluster analysis was performed using UPGMA to construct a dendrogram from a pairwise similarity matrix. Pea genotypes were divided into five major clusters. A model-based population structure analysis divided the pea accessions into four groups. Percentage lipid content in 35 diverse pea accessions was used to find potential associations with the SSR markers. Markers AD73, D21, and AA5 were significantly associated with lipid content using a mixed linear model(MLM) taking population structure(Q) and relative kinship(K) into account. The results of this preliminary study suggested that the population could be used for marker-trait association mapping studies.
文摘本研究以240份大麦品种(系)为材料,利用大麦40K SNP芯片进行基因型分析,并通过一年两点对8个农艺性状进行鉴定,基于混合线性模型(mixed linear model,MLM)进行全基因组关联分析(genome-wide association study,GWAS)。结果表明,8个主要农艺性状均呈现正态分布。使用Admixture软件对240份大麦品种(系)质控后的基因型进行群体结构分析,240份材料大致分为10个亚群。GWAS共检测到118个分别与株高、穗长、芒长、有效分蘖数、总分蘖数、穗粒数、穗粒重和千粒重显著相关的SNP位点,分布在1H、2H、3H、4H、5H、6H和7H染色体上,其中有6个SNP位点可同时控制两个农艺性状,2个SNP位点可同时控制3个农艺性状。确定了24个与SNP位点对应的QTL,其中控制株高的QTL有2个,穗长QTL有1个,芒长QTL有2个,有效分蘖数QTL有2个,总分蘖数QTL有1个,穗粒数QTL有4个,穗粒重QTL有10个,千粒重QTL有8个。在黄羊和永昌环境点中,稳定的QTL有1个,株高、穗长、有效分蘖数和总分蘖数只在一个环境点存在QTL位点,其余4个农艺性状分布在两个环境点不同的QTL位点中。根据关联分析结果,以显著位点上下游150 kb范围作为置信区间,在1H、2H、3H、4H、5H和6H染色体上共寻找到32个基因,基于前人研究和Blast基因注释共筛选到2个最有可能与大麦的生长发育等方面相关的候选基因。
