Ardayfio Naa Korkoi, Kinney Christy, Li Dandan, Naraghi Sepehr Mohajeri, McMullen Michael S, Fiedler Jason D
Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
USDA-ARS Cereals Crops Improvement Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, USA.
Plant Genome. 2025 Sep;18(3):e70060. doi: 10.1002/tpg2.70060.
Marker-trait associations (MTAs) are invaluable to the understanding of biological processes and implementation of marker-assisted selection (MAS) to increase genetic gain in modern breeding programs. In this study, a genome-wide association study (GWAS) was performed to identify MTAs that influence oat nutritional quality, as well as agronomic and milling traits, in advanced breeding spring oat (Avena sativa L.) germplasm from North Dakota State University. High-density sequence-based molecular markers (15,037) were identified in a population of 1,092 unique lines evaluated in 11 field conditions over three years. Linkage disequilibrium analysis confirmed that decay metrics of 5, 11.5, and 2.2 Mb for the A, C, and D sub-genomes, respectively, matched the 1.25 Mb/single nucleotide polymorphism marker density used in this study. We identified 160 MTAs and 44 durable quantitative trait loci (QTL) for nine traits that individually explained 3.7%-43.9% of the variation in the data. Haplotypes assembled from the three most predictive QTL for each trait increased the variation explained to 16%-46%. The haplotype effects are substantial, with their presence resulting in predicted mean percentage increases-greater than 20% for many of the investigated traits. These results confirm that significant MTAs for oat can be identified directly within breeding germplasm using GWAS. These markers are excellent candidates for the implementation of MAS to increase the selection efficiency and genetic gain.
标记-性状关联(MTA)对于理解生物学过程以及在现代育种计划中实施标记辅助选择(MAS)以提高遗传增益至关重要。在本研究中,开展了一项全基因组关联研究(GWAS),以鉴定影响北达科他州立大学先进育种春燕麦(Avena sativa L.)种质中燕麦营养品质以及农艺和制粉性状的MTA。在三年内在11种田间条件下评估的1092个独特品系群体中鉴定出了基于序列的高密度分子标记(15,037个)。连锁不平衡分析证实,A、C和D亚基因组的衰减度量分别为5、11.5和2.2 Mb,与本研究中使用的1.25 Mb/单核苷酸多态性标记密度相匹配。我们鉴定出了160个MTA和44个持久数量性状位点(QTL),用于九个性状,这些性状分别解释了数据中3.7%-43.9%的变异。从每个性状的三个最具预测性的QTL组装的单倍型将解释的变异增加到了16%-46%。单倍型效应显著,其存在导致预测平均百分比增加——对于许多研究性状而言大于20%。这些结果证实,使用GWAS可以直接在育种种质中鉴定出燕麦的显著MTA。这些标记是实施MAS以提高选择效率和遗传增益的优秀候选标记。