Tufto J
Department of Mathematical Sciences-Lade section, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Genet Res. 2000 Dec;76(3):285-93. doi: 10.1017/s0016672300004742.
The evolution of a quantitative trait subject to stabilizing selection and immigration, with the immigrants deviating from the local optimum, is considered under a number of different models of the underlying genetic basis of the trait. By comparing exact predictions under the infinitesimal model obtained using numerical methods with predictions of a simplified approximate model based on ignoring linkage disequilibrium, the increase in the expressed genetic variance as a result of linkage disequilibrium generated by migration is shown to be relatively small and negligible, provided that the genetic variance relative to the squared deviation of immigrants from the local optimum is sufficiently large or selection and migration is sufficiently weak. Deviation from normality is shown to be less important by comparing predictions of the infinitesimal model with a model presupposing normality. For a more realistic symmetric model, involving a finite number of loci only, no linkage and equal effects and frequencies across loci, additional changes in the genetic variance arise as a result of changes in underlying allele frequencies. Again, provided that the genetic variance relative to the squared deviation of the immigrants from the local optimum is small, the difference between the predictions of infinitesimal and the symmetric model are small unless the number of loci is very small. However, if the genetic variance relative to the squared deviation of the immigrants from the local optimum is large, or if selection and migration are strong, both linkage disequilibrium and changes in the genetic variance as a result of changes in underlying allele frequencies become important.
在性状潜在遗传基础的多种不同模型下,考虑一个受稳定选择和迁移影响的数量性状的进化,其中移民偏离了当地最优值。通过将使用数值方法在无穷小模型下得到的精确预测与基于忽略连锁不平衡的简化近似模型的预测进行比较,结果表明,只要相对于移民与当地最优值平方偏差的遗传方差足够大,或者选择和迁移足够弱,由迁移产生的连锁不平衡导致的表达遗传方差的增加就相对较小且可忽略不计。通过将无穷小模型的预测与假定正态性的模型进行比较,表明偏离正态性的影响较小。对于一个更现实的对称模型,该模型仅涉及有限数量的基因座,不存在连锁,且各基因座的效应和频率相等,由于潜在等位基因频率的变化,遗传方差会出现额外的变化。同样,只要相对于移民与当地最优值平方偏差的遗传方差较小,无穷小模型和对称模型预测之间的差异就较小,除非基因座数量非常少。然而,如果相对于移民与当地最优值平方偏差的遗传方差较大,或者如果选择和迁移很强,连锁不平衡以及由于潜在等位基因频率变化导致的遗传方差变化都会变得很重要。