Trubenová Barbora, Novak Sebastian, Hager Reinmar
Institute of Science and Technology Austria (IST Austria), 3400 Klosterneuburg, Austria.
Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, United Kingdom.
PLoS One. 2015 May 18;10(5):e0126907. doi: 10.1371/journal.pone.0126907. eCollection 2015.
Indirect genetic effects (IGEs) occur when genes expressed in one individual alter the expression of traits in social partners. Previous studies focused on the evolutionary consequences and evolutionary dynamics of IGEs, using equilibrium solutions to predict phenotypes in subsequent generations. However, whether or not such steady states may be reached may depend on the dynamics of interactions themselves.
In our study, we focus on the dynamics of social interactions and indirect genetic effects and investigate how they modify phenotypes over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics; rather we consider within-individual phenotypic changes, also referred to as phenotypic plasticity. We analyse iterative interactions, when individuals interact in a series of discontinuous events, and investigate the stability of steady state solutions and the dependence on model parameters, such as population size, strength, and the nature of interactions. We show that for interactions where a feedback loop occurs, the possible parameter space of interaction strength is fairly limited, affecting the evolutionary consequences of IGEs. We discuss the implications of our results for current IGE model predictions and their limitations.
当一个个体中表达的基因改变了社会伙伴的性状表达时,就会产生间接遗传效应(IGEs)。以往的研究聚焦于间接遗传效应的进化后果和进化动态,使用平衡解来预测后代的表型。然而,是否能达到这样的稳态可能取决于相互作用本身的动态变化。
在我们的研究中,我们关注社会相互作用和间接遗传效应的动态变化,并研究它们如何随时间改变表型。与以往的间接遗传效应研究不同,我们不分析进化动态;相反,我们考虑个体内部的表型变化,也称为表型可塑性。我们分析个体在一系列不连续事件中相互作用时的迭代相互作用,并研究稳态解 的稳定性以及对模型参数的依赖性,如种群大小、强度和相互作用的性质。我们表明,对于发生反馈回路的相互作用,相互作用强度的可能参数空间相当有限,这会影响间接遗传效应的进化后果。我们讨论了我们的结果对当前间接遗传效应模型预测及其局限性的影响。