ArticleGenome biology2025
Integrative omics analysis reveals the genetic basis of fatty acid composition in Brassica napus seeds.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Development of molecular markers associated with saline-alkali tolerance in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-Wide Association Study Uncovers Candidate Genes Governing Oil Quality Traits in Sunflower (Plants (Basel, Switzerland) · 2026Article
- Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imaging.Genome biology · 2026Article
- Joint analysis of GWAS and TILLING reveals the negative role of GLABRA2 in controlling seed oil content in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Lipid regulation inFrontiers in plant science · 2026Review
- Mediator subunit MED25 represses ABI5-dependent activation of erucic acid biosynthetic geneFrontiers in plant science · 2026Article
- Meta-QTL analysis for mining key genes associated with seed oil content in maize.BMC plant biology · 2025Article
- Integrative omics analysis reveals the genetic basis of fatty acid composition in Brassica napus seeds.Genome biology · 2025Article
- A Brief History of Canola Genetic Gains: From Classical Breeding to Genome Editing.Physiologia plantarumReview
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Authors and funding
6 authors.
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Abstract
backgroundThe 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.
resultsHere, 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.
conclusionsThis 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.
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