<p>This data descriptor presents a multi-omics resource for <i>Crassostrea gigas</i> and <i>Crassostrea angulata</i>, comprising genomic variants and transcriptomic profiles relevant to fatty acid metabolism traits. A 458-individual F<sub>2</sub> hybrid population genotyped with a 100 K SNP array identified 344 SNPs and 742 candidate genes linked to C18:3ω3, EPA, and DHA variation. KEGG analysis highlighted 24 key genes, with 23 validated via GS-assisted GWAS, dominant genotype screening, and wild population resequencing. Differential expression analysis revealed 458 DEGs (266 between high/low EPA + DHA groups; 192 between species), overlapping with 152 genes from GWAS and selective sweeps. This integrated dataset provides foundational genetic references for studying ω-3 fatty acid dynamics, enabling future investigations into sustainable marine resource utilization and climate resilience.</p>

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Genetic Resources for Research on the Regulatory Mechanism of ω-3 Fatty Acids in Oysters

  • Qingyuan Li,
  • Rihao Cong,
  • Chaogang Wang,
  • Wei Wang,
  • Guofan Zhang,
  • Haigang Qi,
  • Li Li

摘要

This data descriptor presents a multi-omics resource for Crassostrea gigas and Crassostrea angulata, comprising genomic variants and transcriptomic profiles relevant to fatty acid metabolism traits. A 458-individual F2 hybrid population genotyped with a 100 K SNP array identified 344 SNPs and 742 candidate genes linked to C18:3ω3, EPA, and DHA variation. KEGG analysis highlighted 24 key genes, with 23 validated via GS-assisted GWAS, dominant genotype screening, and wild population resequencing. Differential expression analysis revealed 458 DEGs (266 between high/low EPA + DHA groups; 192 between species), overlapping with 152 genes from GWAS and selective sweeps. This integrated dataset provides foundational genetic references for studying ω-3 fatty acid dynamics, enabling future investigations into sustainable marine resource utilization and climate resilience.