Zhang Yuting, Liu Yunhao, Zong Zhanxiang, Guo Liang, Shen Wenhao, Zhao Hu
Yazhouwan National Laboratory, Sanya, 572025, China.
National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Genome Biol. 2025 Apr 2;26(1):83. doi: 10.1186/s13059-025-03558-x.
The fatty acid content represents a crucial quality trait in Brassica napus or rapeseed. Improvements in fatty acid composition markedly enhance the quality of rapeseed oil.
Here, we perform a genome-wide association study (GWAS) to identify quantitative trait locus (QTLs) associated with fatty acid content. We identify a total of seven stable QTLs and find two loci, qFA.A08 and qFA.A09.1, subjected to strong selection pressure. By transcriptome-wide association analysis (TWAS), we characterize 3295 genes that are significantly correlated with the composition of at least one fatty acid. To elucidate the genetic underpinnings governing fatty acid composition, we then employ a combination of GWAS, TWAS, and dynamic transcriptomic analysis during seed development, along with the POCKET algorithm. We predict six candidate genes that are associated with fatty acid composition. Experimental validation reveals that four genes (BnaA09.PYRD, BnaA08.PSK1, BnaA08.SWI3, and BnaC02.LTP15) positively modulate oleic acid content while negatively impact erucic acid content. Comparative analysis of transcriptome profiles suggests that BnaA09.PYRD may influence fatty acid composition by regulating energy metabolism during seed development.
This study establishes a genetic framework for a better understanding of plant oil biosynthesis in addition to providing theoretical foundation and valuable genetic resources for enhancing fatty acid composition in rapeseed breeding.
脂肪酸含量是甘蓝型油菜或油菜籽的一项关键品质性状。脂肪酸组成的改善显著提高了菜籽油的品质。
在此,我们进行了全基因组关联研究(GWAS),以鉴定与脂肪酸含量相关的数量性状位点(QTL)。我们共鉴定出7个稳定的QTL,并发现两个位点,即qFA.A08和qFA.A09.1,受到强烈的选择压力。通过全转录组关联分析(TWAS),我们鉴定出3295个与至少一种脂肪酸组成显著相关的基因。为了阐明控制脂肪酸组成的遗传基础,我们随后在种子发育过程中结合使用GWAS、TWAS和动态转录组分析以及POCKET算法。我们预测了6个与脂肪酸组成相关的候选基因。实验验证表明,4个基因(BnaA09.PYRD、BnaA08.PSK1、BnaA08.SWI3和BnaC02.LTP15)正向调节油酸含量,同时负向影响芥酸含量。转录组图谱的比较分析表明,BnaA09.PYRD可能通过调节种子发育过程中的能量代谢来影响脂肪酸组成。
本研究建立了一个遗传框架,有助于更好地理解植物油生物合成,同时为提高油菜籽育种中的脂肪酸组成提供了理论基础和宝贵的遗传资源。