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全基因组关联和 RNA-Seq 分析揭示了与大豆种子含油量相关的一个潜在候选基因。

Genome-Wide Association and RNA-Seq Analyses Reveal a Potential Candidate Gene Related to Oil Content in Soybean Seeds.

机构信息

Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe 164300, China.

出版信息

Int J Mol Sci. 2024 Jul 25;25(15):8134. doi: 10.3390/ijms25158134.

DOI:10.3390/ijms25158134
PMID:39125702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11311756/
Abstract

Soybean is a crucial crop globally, serving as a significant source of unsaturated fatty acids and protein in the human diet. However, further enhancements are required for the related genes that regulate soybean oil synthesis. In this study, 155 soybean germplasms were cultivated under three different environmental conditions, followed by phenotypic identification and genome-wide association analysis using simplified sequencing data. Genome-wide association analysis was performed using SLAF-seq data. A total of 36 QTLs were significantly associated with oil content (-log10() > 3). Out of the 36 QTLs associated with oil content, 27 exhibited genetic overlap with previously reported QTLs related to oil traits. Further transcriptome sequencing was performed on extreme high-low oil soybean varieties. Combined with transcriptome expression data, 22 candidate genes were identified (|log2FC| ≥ 3). Further haplotype analysis of the potential candidate genes showed that three potential candidate genes had excellent haplotypes, including , , and . The identified loci harboring beneficial alleles and candidate genes likely contribute significantly to the molecular network's underlying marker-assisted selection (MAS) and oil content.

摘要

大豆是全球重要的作物之一,是人类饮食中不饱和脂肪酸和蛋白质的重要来源。然而,相关基因在调控大豆油合成方面还需要进一步的增强。本研究在三种不同的环境条件下种植了 155 份大豆种质资源,然后使用简化测序数据进行表型鉴定和全基因组关联分析。使用 SLAF-seq 数据进行全基因组关联分析。总共鉴定到 36 个与油含量显著相关的 QTL(-log10() > 3)。在与油含量相关的 36 个 QTL 中,有 27 个与先前报道的与油性状相关的 QTL 存在遗传重叠。对极端高油和低油大豆品种进行了进一步的转录组测序。结合转录组表达数据,鉴定到 22 个候选基因(|log2FC| ≥ 3)。对潜在候选基因的单倍型分析表明,三个潜在的候选基因具有优异的单倍型,包括 、 和 。这些包含有益等位基因的鉴定位点和候选基因可能对标记辅助选择(MAS)和油含量的分子网络有重要贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/c94975dd8c49/ijms-25-08134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/df72e42cf315/ijms-25-08134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/94277860d991/ijms-25-08134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/56700372ed28/ijms-25-08134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/afaadbb1b6ad/ijms-25-08134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/c94975dd8c49/ijms-25-08134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/df72e42cf315/ijms-25-08134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/94277860d991/ijms-25-08134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/56700372ed28/ijms-25-08134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/afaadbb1b6ad/ijms-25-08134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5327/11311756/c94975dd8c49/ijms-25-08134-g005.jpg

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