Faggion Sara, Boschi Elena, Veroneze Renata, Carnier Paolo, Bonfatti Valentina
Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Padova, Italy.
Department of Animal Science, Universidade Federal de Viçosa, Viçosa 36570-999, Brazil.
Animals (Basel). 2023 Jul 28;13(15):2450. doi: 10.3390/ani13152450.
With a perspective future ban on surgical castration in Europe, selecting pigs with reduced ability to accumulate boar taint (BT) compounds (androstenone, indole, skatole) in their tissues seems a promising strategy. BT compound concentrations were quantified in the adipose tissue of 1075 boars genotyped at 29,844 SNPs. Traditional and SNP-based breeding values were estimated using pedigree-based BLUP (PBLUP) and genomic BLUP (GBLUP), respectively. Heritabilities for BT compounds were moderate (0.30-0.52). The accuracies of GBLUP and PBLUP were significantly different for androstenone (0.58 and 0.36, respectively), but comparable for indole and skatole (~0.43 and ~0.47, respectively). Several SNP windows, each explaining a small percentage of the variance of BT compound concentrations, were identified in a genome-wide association study (GWAS). A total of 18 candidate genes previously associated with BT (MX1), reproduction traits (TCF21, NME5, PTGFR, KCNQ1, UMODL1), and fat metabolism (CTSD, SYT8, TNNI2, CD81, EGR1, GIPC2, MIGA1, NEGR1, CCSER1, MTMR2, LPL, ERFE) were identified in the post-GWAS analysis. The large number of genes related to fat metabolism might be explained by the relationship between sexual steroid levels and fat deposition and be partially ascribed to the pig line investigated, which is selected for ham quality and not for lean growth.
鉴于欧洲未来可能会禁止手术去势，选择组织中积累公猪膻味（BT）化合物（雄烯酮、吲哚、粪臭素）能力降低的猪似乎是一种很有前景的策略。对1075头公猪的脂肪组织中BT化合物浓度进行了定量分析，这些公猪在29,844个单核苷酸多态性（SNP）位点进行了基因分型。分别使用基于系谱的最佳线性无偏预测（PBLUP）和基因组最佳线性无偏预测（GBLUP）估计传统育种值和基于SNP的育种值。BT化合物的遗传力适中（0.30 - 0.52）。GBLUP和PBLUP对雄烯酮的准确性有显著差异（分别为0.58和0.36），但对吲哚和粪臭素的准确性相当（分别约为0.43和0.47）。在全基因组关联研究（GWAS）中确定了几个SNP窗口，每个窗口解释了BT化合物浓度变异的一小部分。在GWAS后分析中总共鉴定出18个先前与BT（MX1）、繁殖性状（TCF21、NME5、PTGFR、KCNQ1、UMODL1）和脂肪代谢（CTSD、SYT8、TNNI2、CD81、EGR1、GIPC2、MIGA1、NEGR1, CCSER1、MTMR2、LPL、ERFE）相关的候选基因。与脂肪代谢相关的大量基因可能是由于性类固醇水平与脂肪沉积之间的关系，部分归因于所研究的猪品系，该品系是为火腿品质而非瘦肉生长选择的。
