Eiríksson Jón H, Þórarinsdóttir Þórdís, Gautason Egill
Faculty of Agricultural Sciences, Agricultural University of Iceland, 311, Borgarnes, Iceland.
The Icelandic Agricultural Advisory Centre, Óseyri 2, 603, Akureyri, Iceland.
Genet Sel Evol. 2024 Dec 18;56(1):77. doi: 10.1186/s12711-024-00947-x.
Scrapie is an infectious prion disease in sheep. Selective breeding for resistant genotypes of the prion protein gene (PRNP) is an effective way to prevent scrapie outbreaks. Genotyping all selection candidates in a population is expensive but existing pedigree records can help infer the probabilities of genotypes in relatives of genotyped animals.
We used linear models to predict allele content for the various PRNP alleles found in Icelandic sheep and compiled the available estimates of relative scrapie susceptibility (RSS) associated with PRNP genotypes from the literature. Using the predicted allele content and the genotypic RSS we calculated estimated breeding values (EBV) for RSS. We tested the predictions on simulated data under different scenarios that varied in the proportion of genotyped sheep, genotyping strategy, pedigree recording accuracy, genotyping error rates and assumed heritability of allele content. Prediction of allele content for rare alleles was less successful than for alleles with moderate frequencies. The accuracy of allele content and RSS EBV predictions was not affected by the assumed heritability, but the dispersion of prediction was affected. In a scenario where 40% of rams were genotyped and no errors in genotyping or recorded pedigree, the accuracy of RSS EBV for ungenotyped selection candidates was 0.49. If only 20% of rams were genotyped, or rams and ewes were genotyped randomly, or there were 10% pedigree errors, or there were 2% genotyping errors, the accuracy decreased by 0.07, 0.08, 0.03 and 0.04, respectively. With empirical data, the accuracy of RSS EBV for ungenotyped sheep was 0.46-0.65.
A linear model for predicting allele content for the PRNP gene, combined with estimates of relative susceptibility associated with PRNP genotypes, can provide RSS EBV for scrapie resistance for ungenotyped selection candidates with accuracy up to 0.65. These RSS EBV can complement selection strategies based on PRNP genotypes, especially in populations where resistant genotypes are rare.
羊瘙痒病是绵羊的一种传染性朊病毒疾病。对朊病毒蛋白基因(PRNP)抗性基因型进行选择性育种是预防羊瘙痒病爆发的有效方法。对群体中的所有选择候选个体进行基因分型成本高昂,但现有的系谱记录有助于推断已分型动物亲属的基因型概率。
我们使用线性模型预测冰岛绵羊中发现的各种PRNP等位基因的等位基因含量,并汇总了文献中与PRNP基因型相关的相对羊瘙痒病易感性(RSS)的可用估计值。利用预测的等位基因含量和基因型RSS,我们计算了RSS的估计育种值(EBV)。我们在不同场景下的模拟数据上测试了这些预测,这些场景在已分型绵羊的比例、基因分型策略、系谱记录准确性、基因分型错误率以及假设的等位基因含量遗传力方面存在差异。对稀有等位基因的等位基因含量预测不如对中等频率等位基因的预测成功。等位基因含量和RSS EBV预测的准确性不受假设遗传力的影响,但预测的离散度受到影响。在40%的公羊进行基因分型且基因分型或记录系谱无错误的情况下,未分型选择候选个体的RSS EBV准确性为0.49。如果只有20%的公羊进行基因分型,或者公羊和母羊随机进行基因分型,或者存在10%的系谱错误,或者存在2%的基因分型错误,准确性分别下降0.07、0.08、0.03和0.04。对于实际数据,未分型绵羊的RSS EBV准确性为0.46 - 0.65。
用于预测PRNP基因等位基因含量的线性模型,结合与PRNP基因型相关的相对易感性估计值,可以为未分型选择候选个体的羊瘙痒病抗性提供RSS EBV,准确性高达0.