Identification of the putative regulatory regions and candidate genes associated with backfat thickness and intramuscular fat content traits in Xiang pigs
Chen X., Zheng Y., Hu F., Liu X., Wang W., Qi F.
Animal Study, published in BMC Genomics (2025) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Animal Study
- Journal
- BMC Genomics (2025)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 40775679
- PMCID
- PMC12333138
- DOI
- 10.1186/s12864-025-11860-y
- Citations
- 1
Abstract (original English)
Backfat thickness (BFT) and intramuscular fat (IMF) content reflect fat deposition and meat quality in pigs. Numerous genetic variations contribute to differences in BFT and IMF for different pig breeds. However, limited information is available on the genetic variants associated with IMF deposition in Xiang pigs. To identify the putative regulatory regions and candidate genes associated with BFT and IMF traits in Xiang pigs, we integrated the whole genomic DNA genotyping and RNA-sequencing data in Longissimus thoracis muscle from F2 individuals of Large White × Xiang pig cross and performed the expression quantitative trait loci (eQTL) analyses. We identified a total of 64,419 significant cis-variant-eGene, including 33,288 eSNPs, 7,910 eInDels, and 5,940 eSVs. Among them, 1,156 cis-eQTL loci overlapped with QTL for IMF and BFT, affecting the expressions of 541 genes, including 54 transcription factors. Enrichment analysis revealed that key candidate genes were significantly associated with lipid metabolism pathways, such as mTOR and PPAR signaling. Overlap analysis demonstrated that several eQTLs exhibited dual regulatory effects on gene expression. Notable eQTL hotspots included eSNP 12:52760182_T, eInDel 2:6807484-6,807,485, and three eSV sites, with the P2RY6 gene significantly associated with multiple variants. Our results indicated that many regions across the pig genome
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
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