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Estimating Breeding Values With Molecular Relatedness and Reconstructed Pedigrees in Natural Mating Populations of Common Sole Solea Solea

机译:利用普通亲缘Solea Solea自然交配种群的分子亲缘关系和重构谱系估算育种价值

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摘要

Captive populations where natural mating in groups is used to obtain offspring typically yield unbalanced population structures with highly skewed parental contributions and unknown pedigrees. Consequently, for genetic parameter estimation, relationships need to be reconstructed or estimated using DNA marker data. With missing parents and natural mating groups, commonly used pedigree reconstruction methods are not accurate and lead to loss of data. Relatedness estimators, however, infer relationships between all animals sampled. In this study, we compared a pedigree relatedness method and a relatedness estimator (“molecular relatedness”) method using accuracy of estimated breeding values. A commercial data set of common sole, Solea solea, with 51 parents and 1953 offspring (“full data set”) was used. Due to missing parents, for 1338 offspring, a pedigree could be reconstructed with 10 microsatellite markers (“reduced data set”). Cross-validation of both methods using the reduced data set showed an accuracy of estimated breeding values of 0.54 with pedigree reconstruction and 0.55 with molecular relatedness. Accuracy of estimated breeding values increased to 0.60 when applying molecular relatedness to the full data set. Our results indicate that pedigree reconstruction and molecular relatedness predict breeding values equally well in a population with skewed contributions to families. This is probably due to the presence of few large full-sib families. However, unlike methods with pedigree reconstruction, molecular relatedness methods ensure availability of all genotyped selection candidates, which results in higher accuracy of breeding value estimation.
机译:使用群体自然交配来获取后代的圈养种群通常会产生不平衡的种群结构,其中父母的贡献会高度偏向,谱系未知。因此,对于遗传参数估计,需要使用DNA标记数据重建或估计关系。由于父母和自然交配群体的缺失,常用的谱系重建方法不准确,并导致数据丢失。但是,相关性估计量会推断所有采样动物之间的关系。在这项研究中,我们使用估计的育种值的准确性比较了谱系相关性方法和相关性估计值(“分子相关性”)方法。使用具有51个父母和1953个后代的普通鞋底Solea solea的商业数据集(“完整数据集”)。由于缺少父母,对于1338个后代,可以用10个微卫星标记(“精简数据集”)来重建血统书。使用简化后的数据集对这两种方法进行的交叉验证显示,系谱重建的估计育种值的准确度为0.54,分子相关性的准确度为0.55。将分子相关性应用于完整数据集时,估计育种值的准确性提高到0.60。我们的结果表明,谱系重建和分子相关性在对家庭贡献不均的人群中同样能很好地预测育种价值。这可能是由于几个同胞大家庭的存在。但是,与采用谱系重建的方法不同,分子相关性方法可确保所有基因型选择候选物的可用性,从而提高了育种价值估算的准确性。

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