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受社会遗传效应影响的猪基因组育种计划中,通过限制近交增加选择响应的统计模型和测试设计。

Statistical model and testing designs to increase response to selection with constrained inbreeding in genomic breeding programs for pigs affected by social genetic effects.

机构信息

Center for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.

Department of Animal Breeding and Genetics, Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi, Vietnam.

出版信息

Genet Sel Evol. 2021 Jan 4;53(1):1. doi: 10.1186/s12711-020-00598-8.

Abstract

BACKGROUND

Social genetic effects (SGE) are the effects of the genotype of one animal on the phenotypes of other animals within a social group. Because SGE contribute to variation in economically important traits for pigs, the inclusion of SGE in statistical models could increase responses to selection (RS) in breeding programs. In such models, increasing the relatedness of members within groups further increases RS when using pedigree-based relationships; however, this has not been demonstrated with genomic-based relationships or with a constraint on inbreeding. In this study, we compared the use of statistical models with and without SGE and compared groups composed at random versus groups composed of families in genomic selection breeding programs with a constraint on the rate of inbreeding.

RESULTS

When SGE were of a moderate magnitude, inclusion of SGE in the statistical model substantially increased RS when SGE were considered for selection. However, when SGE were included in the model but not considered for selection, the increase in RS and in accuracy of predicted direct genetic effects (DGE) depended on the correlation between SGE and DGE. When SGE were of a low magnitude, inclusion of SGE in the model did not increase RS, probably because of the poor separation of effects and convergence issues of the algorithms. Compared to a random group composition design, groups composed of families led to higher RS. The difference in RS between the two group compositions was slightly reduced when using genomic-based compared to pedigree-based relationships.

CONCLUSIONS

The use of a statistical model that includes SGE can substantially improve response to selection at a fixed rate of inbreeding, because it allows the heritable variation from SGE to be accounted for and capitalized on. Compared to having random groups, family groups result in greater response to selection in the presence of SGE but the advantage of using family groups decreases when genomic-based relationships are used.

摘要

背景

社会遗传效应(SGE)是一个动物的基因型对群体内其他动物表型的影响。由于 SGE 对猪具有经济重要性状的变异有贡献,因此在统计模型中包含 SGE 可以增加选育计划中的选择反应(RS)。在这些模型中,当使用基于系谱的关系时,通过增加群体内成员之间的亲缘关系,进一步增加 RS;然而,这尚未在基于基因组的关系或在限制近亲繁殖的情况下得到证明。在这项研究中,我们比较了使用带有和不带有 SGE 的统计模型,以及在具有近亲繁殖限制的基因组选择选育计划中,比较了随机组成的群体与由家族组成的群体。

结果

当 SGE 的幅度适中时,在考虑 SGE 进行选择时,在统计模型中包含 SGE 会大大增加 RS。然而,当 SGE 包含在模型中但不考虑进行选择时,RS 的增加和直接遗传效应(DGE)预测准确性的增加取决于 SGE 和 DGE 之间的相关性。当 SGE 的幅度较小时,在模型中包含 SGE 不会增加 RS,这可能是由于效应的分离较差和算法的收敛问题。与随机群体组成设计相比,由家族组成的群体导致更高的 RS。当使用基于基因组的关系而不是基于系谱的关系时,两种群体组成之间的 RS 差异略有减少。

结论

使用包含 SGE 的统计模型可以在固定的近亲繁殖率下大大提高选择反应,因为它允许考虑和利用 SGE 的遗传变异。与具有随机群体相比,在存在 SGE 的情况下,家族群体导致更大的选择反应,但当使用基于基因组的关系时,使用家族群体的优势会降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/085c/7784391/e434442e9d5c/12711_2020_598_Fig1_HTML.jpg

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