Department of Biology, University of Turku, University Hill, 20014 Turku, Finland
Department of Biology, University of Turku, University Hill, 20014 Turku, Finland.
Biol Lett. 2018 Jul;14(7). doi: 10.1098/rsbl.2018.0106.
Assortative mating is pervasive in wild populations and commonly described as a positive correlation between the phenotypes of males and females across mated pairs. This correlation is often assumed to reflect non-random mate choice based on phenotypic similarity. However, phenotypic resemblance between mates can also arise when their traits respond plastically to a shared environmental effect creating a (within-pair) residual correlation in traits. Using long-term data collected in pairs of wild blue tits and a covariance partitioning approach, we empirically demonstrate that such residual covariance indeed exists and can generate phenotypic correlations (or mask assortative mating) in behavioural and morphometric traits. These findings (i) imply that residual covariance is likely to be common and bias phenotypic estimates of assortative mating, which can have consequences for evolutionary predictions, (ii) call for the use of rigorous statistical approaches in the study of assortative mating, and (iii) show the applicability of one of these approaches in a common study system.
在野生种群中,交配选择是普遍存在的,通常被描述为雌雄个体在交配对中表型之间的正相关。这种相关性通常被认为反映了基于表型相似性的非随机交配选择。然而,当配偶的特征对共同环境效应表现出可塑性反应时,也会在特征之间产生相似性,从而在配对内产生残差相关性。利用在成对的野生蓝山雀中收集的长期数据和协方差分解方法,我们从经验上证明了这种残差协方差确实存在,并能在行为和形态特征中产生表型相关性(或掩盖交配选择)。这些发现(i)意味着残差协方差可能很常见,并会影响对交配选择的表型估计,这可能对进化预测产生影响;(ii)呼吁在研究交配选择时使用严格的统计方法;(iii)展示了这些方法中的一种在常见研究系统中的适用性。