...
首页> 外文期刊>Genetics, selection, evolution >Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus
【24h】

Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus

机译:使用多性状和随机回​​归模型鉴定对猪繁殖与呼吸综合征病毒的耐受性的遗传变异

获取原文
   

获取外文期刊封面封底 >>

       

摘要

A host can adopt two response strategies to infection: resistance (reduce pathogen load) and tolerance (minimize impact of infection on performance). Both strategies may be under genetic control and could thus be targeted for genetic improvement. Although there is evidence that supports a genetic basis for resistance to porcine reproductive and respiratory syndrome (PRRS), it is not known whether pigs also differ genetically in tolerance. We determined to what extent pigs that have been shown to vary genetically in resistance to PRRS also exhibit genetic variation in tolerance. Multi-trait linear mixed models and random regression sire models were fitted to PRRS Host Genetics Consortium data from 1320 weaned pigs (offspring of 54 sires) that were experimentally infected with a virulent strain of PRRS virus to obtain genetic parameter estimates for resistance and tolerance. Resistance was defined as the inverse of within-host viral load (VL) from 0 to 21 (VL21) or 0 to 42 (VL42) days post-infection and tolerance as the slope of the reaction-norm of average daily gain (ADG21, ADG42) on VL21 or VL42. Multi-trait analysis of ADG associated with either low or high VL was not indicative of genetic variation in tolerance. Similarly, random regression models for ADG21 and ADG42 with a tolerance slope fitted for each sire did not result in a better fit to the data than a model without genetic variation in tolerance. However, the distribution of data around average VL suggested possible confounding between level and slope estimates of the regression lines. Augmenting the data with simulated growth rates of non-infected half-sibs (ADG0) helped resolve this statistical confounding and indicated that genetic variation in tolerance to PRRS may exist if genetic correlations between ADG0 and ADG21 or ADG42 are low to moderate. Evidence for genetic variation in tolerance of pigs to PRRS was weak when based on data from infected piglets only. However, simulations indicated that genetic variance in tolerance may exist and could be detected if comparable data on uninfected relatives were available. In conclusion, of the two defense strategies, genetics of tolerance is more difficult to elucidate than genetics of resistance.
机译:宿主可以对感染采取两种应对策略:抵抗力(减少病原体负荷)和耐受力(最大程度地减少感染对性能的影响)。两种策略都可能处于遗传控制之下,因此有可能成为遗传改良的目标。尽管有证据支持对猪繁殖与呼吸综合征(PRRS)产生抗药性的遗传基础,但尚不清楚猪的耐受性是否在遗传上也有所不同。我们确定了已显示出对PRRS抗性发生遗传差异的猪在多大程度上也表现出了耐受性的遗传变异。将多特征线性混合模型和随机回归父亲模型拟合到来自PRRS宿主遗传学联盟的数据,这些数据来自于1320头断奶猪(54头后代),这些猪经实验感染了PRRS病毒的强毒株,以获得抗药性和耐受性的遗传参数估计。耐药性定义为感染后0到21(VL21)或0至42(VL42)天的宿主内病毒载量(VL)的倒数,而耐受性定义为平均日增重的反应范数的斜率(ADG21, VL21或VL42上的ADG42)。与低或高VL相关的ADG的多性状分析并不表示耐受性的遗传变异。同样,对于每个父本都具有容差斜率的ADG21和ADG42随机回归模型,与没有遗传变异的容差模型相比,没有更好地拟合数据。但是,平均VL周围的数据分布表明,回归线的水平和斜率估计之间可能存在混淆。通过模拟未感染半同胞(ADG0)的增长率来增加数据有助于解决这一统计混淆,并指出,如果ADG0与ADG21或ADG42之间的遗传相关性低至中等,则可能存在PRRS耐受性的遗传变异。仅基于受感染仔猪的数据,关于猪对PRRS耐受性的遗传变异证据很少。然而,模拟表明,如果可获得有关未感染亲属的可比数据,则耐受性的遗传差异可能存在并可以检测到。总之,在这两种防御策略中,耐受性的遗传学比抗性的遗传学更难阐明。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号