Genome-wide association study identified genomic regions and putative candidate genes affecting different backfat...

Backfat thickness, a key selection trait in pig-breeding programmes, has traditionally been measured as a homogeneous layer. However, backfat is anatomically structured into three distinct layers, and each layer likely contributes differently to carcass quality. In addition, previous studies have shown that the deposition of the third layer of backfat is phenotypically correlated with intramuscular fat (IMF). Therefore, targeted selection for specific backfat layers, particularly the third layer, represents a potential strategy to increase IMF content while maintaining a high lean meat percentage. However, the genetic architecture of these distinct porcine backfat layers remains poorly understood. The aim of this study was to estimate the genetic parameters and identify key candidate genes underlying the three backfat layers. We collected B-mode ultrasound images from 561 Landrace pigs to measure individual layer thickness, followed by DNA extraction, genotyping, genetic parameter estimation, and a genome-wide association study (GWAS). Our measurements showed that the first layer of backfat (FBF) is the thickest, followed by the second (SBF) and the third (TBF) layers. Genetic parameter estimation yielded heritability estimates of 0.37, 0.42, 0.38, 0.34, 0.32, 0.24, and 0.21 for total backfat (BF), FBF, FBF/BF, SBF, SBF/BF, TBF, and TBF/BF, respectively. Through integrated analysis of GWAS, Bayesian fine-mapping, and gene annotation, we identified 15 non-redundant candidate genes associated with different backfat layers. These included two genes (SOAT1 and ACBD6) shared by BF and SBF, LPL for BF and FBF, and CAND1 for TBF and TBF/BF. Additionally, SERPINA12 and SERPINA6 were associated with BF; PRKAG1 and PRDM16 with FBF; EPRS1 and SLC39A10 with FBF/BF; PTGES and CRAT with SBF; and ACLY, CAVIN1, and PDZRN3 with SBF/BF. Our results indicate that each layer is governed by a distinct set of genes, which advances our understanding of the genetic basis of backfat layers in pigs.