Diers Brian W, Specht James E, Graef George L, Song Qijian, Rainey Katy Martin, Ramasubramanian Vishnu, Liu Xiaotong, Myers Chad L, Stupar Robert M, An Yong-Qiang Charles, Beavis William D
Department of Crop Sciences, University of Illinois, Urbana, IL, USA.
Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Plant Genome. 2023 Mar;16(1):e20308. doi: 10.1002/tpg2.20308. Epub 2023 Feb 6.
Soybean is grown primarily for the protein and oil extracted from its seed and its value is influenced by these components. The objective of this study was to map marker-trait associations (MTAs) for the concentration of seed protein, oil, and meal protein using the soybean nested association mapping (SoyNAM) population. The composition traits were evaluated on seed harvested from over 5000 inbred lines of the SoyNAM population grown in 10 field locations across 3 years. Estimated heritabilities were at least 0.85 for all three traits. The genotyping of lines with single nucleotide polymorphism markers resulted in the identification of 107 MTAs for the three traits. When MTAs for the three traits that mapped within 5 cM intervals were binned together, the MTAs were mapped to 64 intervals on 19 of the 20 soybean chromosomes. The majority of the MTA effects were small and of the 107 MTAs, 37 were for protein content, 39 for meal protein, and 31 for oil content. For cases where a protein and oil MTAs mapped to the same interval, most (94%) significant effects were opposite for the two traits, consistent with the negative correlation between these traits. A coexpression analysis identified candidate genes linked to MTAs and 18 candidate genes were identified. The large number of small effect MTAs for the composition traits suggest that genomic prediction would be more effective in improving these traits than marker-assisted selection.
大豆主要因其种子中提取的蛋白质和油而种植，其价值受这些成分影响。本研究的目的是利用大豆巢式关联作图（SoyNAM）群体，绘制种子蛋白质、油和粕蛋白浓度的标记-性状关联（MTA）图谱。对从在3年中于10个田间地点种植的SoyNAM群体的5000多个自交系收获的种子进行了成分性状评估。所有三个性状的估计遗传力至少为0.85。利用单核苷酸多态性标记对品系进行基因分型，鉴定出这三个性状的107个MTA。当在5厘摩区间内定位的三个性状的MTA归为一组时，这些MTA被定位到20条大豆染色体中19条上的64个区间。大多数MTA效应较小，在107个MTA中，37个与蛋白质含量有关，39个与粕蛋白有关，31个与油含量有关。对于蛋白质和油的MTA定位到同一区间的情况，这两个性状的大多数（94%）显著效应相反，这与这些性状之间的负相关一致。共表达分析鉴定出与MTA相关的候选基因，并确定了18个候选基因。成分性状的大量小效应MTA表明，基因组预测在改良这些性状方面比标记辅助选择更有效。
