<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li Q</submitter><funding>National Natural Science Foundation of China (National Science Foundation of China)</funding><pagination>1579</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12480761</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(1)</volume><pubmed_abstract>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 F&lt;sub>2&lt;/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 futur</pubmed_abstract><journal>Scientific data</journal><pubmed_title>Genetic Resources for Research on the Regulatory Mechanism of ω-3 Fatty Acids in Oysters.</pubmed_title><pmcid>PMC12480761</pmcid><funding_grant_id>2022YFD2400304</funding_grant_id><pubmed_authors>Zhang G</pubmed_authors><pubmed_authors>Cong R</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Qi H</pubmed_authors><pubmed_authors>Li Q</pubmed_authors><pubmed_authors>Wang W</pubmed_authors><pubmed_authors>Li L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genetic Resources for Research on the Regulatory Mechanism of ω-3 Fatty Acids in Oysters.</name><description>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 F&lt;sub>2&lt;/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 futur</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-06-04T00:07:06.346Z</modification><creation>2026-05-03T03:12:26.605Z</creation></dates><accession>S-EPMC12480761</accession><cross_references><pubmed>41022887</pubmed><doi>10.1038/s41597-025-05822-y</doi></cross_references></HashMap>