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首页> 外文期刊>International Journal of Molecular Sciences >Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [ Glycine max (L.) Merr.] Seed
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Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [ Glycine max (L.) Merr.] Seed

机译:大豆[Glycine max(L.)Merr。]种子中与蛋白质,油含量和成分相关的QTL的荟萃分析

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摘要

Soybean [ Glycine max (L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies have identified quantitative trait loci (QTLs) associated with seed composition traits, but validation of these QTLs has rarely been carried out. In this study, we have collected information, including genetic location and additive effects, on each QTL for seed contents of protein and oil, as well as amino acid and fatty acid compositions from over 80 studies. Using BioMercator V. 4.2, a meta-QTL analysis was performed with genetic information comprised of 175 QTLs for protein, 205 QTLs for oil, 156 QTLs for amino acids, and 113 QTLs for fatty acids. A total of 55 meta-QTL for seed composition were detected on 6 out of 20 chromosomes. Meta-QTL possessed narrower confidence intervals than the original QTL and candidate genes were identified within each meta-QTL. These candidate genes elucidate potential natural genetic variation in genes contributing to protein and oil biosynthesis and accumulation, providing meaningful information to further soybean breeding programs.
机译:大豆[Glycine max(L.)Merr。]是一种有价值的营养作物,部分原因是其种子产生了高蛋白粉和植物油。大豆生产者期望的是既具有增加的种子蛋白和油浓度,又具有特定的氨基酸和脂肪酸谱的栽培品种。许多研究已经确定了与种子组成性状相关的数量性状位点(QTL),但是很少对这些QTL进行验证。在这项研究中,我们从80多个研究中收集了有关每个QTL的信息,包括遗传位置和加性效应,以了解蛋白质和油脂的种子含量以及氨基酸和脂肪酸组成。使用BioMercator V. 4.2,使用包含175个蛋白质的QTL,205个油类的QTL,156个氨基酸的QTL和113个脂肪酸的QTL遗传信息进行元QTL分析。在20条染色体中的6条上检测到55个用于种子组成的meta-QTL。 Meta-QTL比原始QTL具有更窄的置信区间,并且在每个meta-QTL中鉴定了候选基因。这些候选基因阐明了有助于蛋白质和油类生物合成和积累的基因中潜在的自然遗传变异,为进一步的大豆育种计划提供了有意义的信息。

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