Genetic Resources for Research on the Regulatory Mechanism of ω-3 Fatty Acids in Oysters
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<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.
Authors
- Li Li (ORCID: https://orcid.org/0000-0002-5913-4447)
- Wei Wang (ORCID: https://orcid.org/0000-0001-5441-0302)
- Qingyuan Li (ORCID: https://orcid.org/0000-0002-4245-7370)
- Rihao Cong
- Guofan Zhang (ORCID: https://orcid.org/0000-0003-3804-4669)
- Haigang Qi (ORCID: https://orcid.org/0000-0002-5077-9775)
- Chaogang Wang (ORCID: https://orcid.org/0000-0003-3698-5350)
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Hydrobiology (CN)
- Institute of Oceanology (CN)
- Qingdao Academy of Intelligent Industries (CN)
- Qingdao National Laboratory for Marine Science and Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Shandong University of Science and Technology (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1038/s41597-025-05822-y
- Primary Topic
- Marine Bivalve and Aquaculture Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Sciences
- China Postdoctoral Science Foundation
- Institute of Oceanology, Chinese Academy of Sciences