Sherman G B, Kachman S D, Hungerford L L, Rupp G P, Fox C P, Brown M D, Feuz B M, Holm T R
Great Plains Veterinary Educational Center, University of Nebraska, P.O. Box 148, Clay Center, NE 68933, USA.
Anim Genet. 2004 Jun;35(3):220-6. doi: 10.1111/j.1365-2052.2004.01143.x.
Genetic paternity testing can provide sire identity data for offspring when females have been exposed to multiple males. However, correct paternity assignment can be influenced by factors determined in the laboratory and by size and genetic composition of breeding groups. In the present study, DNA samples from 26 commingled beef bulls and their calves from the Nebraska Reference Herd-1 (NRH1), along with previously reported Illinois Reference/Resource Families data, were used to estimate the impact of sire number and sire relatedness on microsatellite-based paternity testing. Assay performance was measured by exclusion probabilities and probabilities of unambiguous parentage (PUP) were derived. Proportion of calves with unambiguous parentage (PCUP) was also calculated to provide a readily understandable whole-herd measure of unambiguous paternity assignment. For NRH1, theoretical and observed PCUP values were in close agreement (85.3 and 85.8%, respectively) indicating good predictive value. While the qualitative effects on PUP values of altering sire number and sire relatedness were generally predictable, we demonstrate that the impacts of these variables, and their interaction effects, can be large, are non-linear, and are quantitatively distinct for different combinations of sire number and degree of sire relatedness. In view of the potentially complex dynamics and practical consequences of these relationships in both research and animal production settings, we suggest that a priori estimation of the quantitative impact of a given set of interacting breeding group-specific and assay-specific parameters on PUP may be indicated, particularly when candidate sire pools are large, sire relatedness may be high, and/or loci numbers or heterozygosity values may be limiting.
当雌性与多个雄性交配时,基因亲子鉴定可为后代提供父本身份数据。然而,正确的父本认定可能会受到实验室因素以及繁殖群体的规模和基因组成的影响。在本研究中,来自内布拉斯加州参考牛群 -1(NRH1)的26头混合肉牛公牛及其犊牛的DNA样本,以及先前报道的伊利诺伊州参考/资源家族数据,被用于评估父本数量和父本亲缘关系对基于微卫星的亲子鉴定的影响。通过排除概率来衡量检测性能,并得出明确父系关系的概率(PUP)。还计算了具有明确父系关系的犊牛比例(PCUP),以提供一个易于理解的全群明确父本认定的指标。对于NRH1,理论和观察到的PCUP值非常接近(分别为85.3%和85.8%),表明具有良好的预测价值。虽然改变父本数量和父本亲缘关系对PUP值的定性影响通常是可预测的,但我们证明这些变量及其相互作用的影响可能很大,是非线性的,并且对于父本数量和父本亲缘关系程度的不同组合在数量上是不同的。鉴于这些关系在研究和动物生产环境中可能具有潜在的复杂动态和实际后果,我们建议可能需要事先估计一组特定于繁殖群体和检测的相互作用参数对PUP的定量影响,特别是当候选父本库很大、父本亲缘关系可能很高和/或基因座数量或杂合度值可能有限时。