Multi-omics analysis reveals novel loci and a candidate regulatory gene of unsaturated fatty acids in soybean (Glycine max (L.) Merr)
文献类型: 外文期刊
作者: Zhao, Xunchao 1 ; Zhan, Yuhang 1 ; Li, Kaiming 1 ; Zhang, Yan 1 ; Zhou, Changjun 2 ; Yuan, Ming 3 ; Liu, Miao 4 ; Li, Yongguang 1 ; Zuo, Peng 1 ; Han, Yingpeng 1 ; Zhao, Xue 1 ;
作者机构: 1.Northeast Agr Univ, Key Lab Soybean Biol & Breeding Genet, Chinese Agr Minist, Key Lab Soybean Biol,Chinese Minist Educ, Harbin 150030, Peoples R China
2.Heilongjiang Acad Agr Sci, Daqing Branch, Daqing, Peoples R China
3.Heilongjiang Acad Agr Sci, Qiqihar Branch, Qiqihar, Peoples R China
4.Heilongjiang Acad Agr Sci, Crop Tillage & Cultivat Inst, Harbin, Peoples R China
关键词: Soybean; 3VmrMLM; Unsaturated fatty acids; Multi-omics analysis; Expression profile
期刊名称:BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS
ISSN:
年卷期: 2024 年 17 卷 1 期
页码:
收录情况: SCI
摘要: Background Soybean is a major oil crop; the nutritional components of soybean oil are mainly controlled by unsaturated fatty acids (FA). Unsaturated FAs mainly include oleic acid (OA, 18:1), linoleic acid (LLA, 18:2), and linolenic acid (LNA, 18:3). The genetic architecture of unsaturated FAs in soybean seeds has not been fully elucidated, although many independent studies have been conducted. A 3 V multi-locus random single nucleotide polymorphism (SNP)-effect mixed linear model (3VmrMLM) was established to identify quantitative trait loci (QTLs) and QTL-by-environment interactions (QEIs) for complex traits. Results In this study, 194 soybean accessions with 36,981 SNPs were calculated using the 3VmrMLM model. As a result, 94 quantitative trait nucleotides (QTNs) and 19 QEIs were detected using single-environment (QTN) and multi-environment (QEI) methods. Three significant QEIs, namely rs4633292, rs39216169, and rs14264702, overlapped with a significant single-environment QTN. Conclusions For QTNs and QEIs, further haplotype analysis of candidate genes revealed that the Glyma.03G040400 and Glyma.17G236700 genes were beneficial haplotypes that may be associated with unsaturated FAs. This result provides ideas for the identification of soybean lipid-related genes and provides insights for breeding high oil soybean varieties in the future.
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