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大豆[Glycine max (L.) Merr.]种子中与蛋白质和油含量及成分相关的数量性状位点的荟萃分析

Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed.

作者信息

Van Kyujung, McHale Leah K

机构信息

Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH 43210, USA.

Center for Soybean Research, The Ohio State University, Columbus, OH 43210, USA.

出版信息

Int J Mol Sci. 2017 Jun 1;18(6):1180. doi: 10.3390/ijms18061180.

DOI:10.3390/ijms18061180
PMID:28587169
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5486003/
Abstract

Soybean [ (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.

摘要

大豆[(L.)Merr.]是一种有价值且营养丰富的作物,部分原因在于其种子可生产高蛋白豆粕和植物油。大豆生产者期望培育出种子蛋白质和油含量高,以及具有特定氨基酸和脂肪酸谱的品种。众多研究已鉴定出与种子成分性状相关的数量性状位点(QTL),但对这些QTL的验证却很少进行。在本研究中,我们收集了来自80多项研究的关于蛋白质和油的种子含量以及氨基酸和脂肪酸组成的每个QTL的信息,包括遗传定位和加性效应。使用BioMercator V. 4.2,对由175个蛋白质QTL、205个油QTL、156个氨基酸QTL和113个脂肪酸QTL组成的遗传信息进行了元QTL分析。在20条染色体中的6条上共检测到55个种子成分的元QTL。元QTL的置信区间比原始QTL更窄,并且在每个元QTL内鉴定出了候选基因。这些候选基因阐明了有助于蛋白质和油生物合成及积累的基因中的潜在自然遗传变异,为进一步的大豆育种计划提供了有意义的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/5486003/88922c54670b/ijms-18-01180-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/5486003/f6104e70592d/ijms-18-01180-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/5486003/88922c54670b/ijms-18-01180-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/5486003/f6104e70592d/ijms-18-01180-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/5486003/88922c54670b/ijms-18-01180-g002.jpg

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