Integrative omics analysis reveals the genetic basis of fatty acid composition in by Yuting Zhang & Yunhao Liu & Zhanxiang Zong & Liang Guo & Wenhao Shen & Hu Zhao instant download

Integrative omics analysis reveals the genetic basis of fatty acid composition in by Yuting Zhang & Yunhao Liu & Zhanxiang Zong & Liang Guo & Wenhao Shen & Hu Zhao instant download

Genome Biology,AbstractBackground: The fatty acid content represents a crucial quality trait in Brassica napusor rapeseed. Improvements in fatty acid composition markedly enhance the quality of rapeseed oil.Results: 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 fnd 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 signifcantly 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 profles suggests that BnaA09.PYRD may infuence fatty acid composition by regulating energy metabolism during seed development.Conclusions: 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.Background