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Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families

机译:基于选择的时态遗传分化推理高度多态性多基因家族的研究中

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摘要

The co-evolutionary arms race between host immune genes and parasite virulence genes is known as Red Queen dynamics. Temporal fluctuations in allele frequencies, or the ‘turnover’ of alleles at immune genes, are concordant with predictions of the Red Queen hypothesis. Such observations are often taken as evidence of host-parasite co-evolution. Here, we use computer simulations of the Major Histocompatibility Complex (MHC) of guppies (Poecilia reticulata) to study the turnover rate of alleles (temporal genetic differentiation, G'ST). Temporal fluctuations in MHC allele frequencies can be ≥≤order of magnitude larger than changes observed at neutral loci. Although such large fluctuations in the MHC are consistent with Red Queen dynamics, simulations show that other demographic and population genetic processes can account for this observation, these include: (1) overdominant selection, (2) fluctuating population size within a metapopulation, and (3) the number of novel MHC alleles introduced by immigrants when there are multiple duplicated genes. Synergy between these forces combined with migration rate and the effective population size can drive the rapid turnover in MHC alleles. We posit that rapid allelic turnover is an inherent property of highly polymorphic multigene families and that it cannot be taken as evidence of Red Queen dynamics. Furthermore, combining temporal samples in spatial FST outlier analysis may obscure the signal of selection.
机译:宿主免疫基因和寄生虫毒力基因之间的共同进化军备竞赛被称为“红皇后动力学”。等位基因频率的时间波动或免疫基因上等位基因的“转变”与“红皇后”假说的预测一致。此类观察通常被视为宿主-寄生虫共同进化的证据。在这里,我们使用孔雀鱼(Poecilia reticulata)的主要组织相容性复合体(MHC)的计算机模拟来研究等位基因的周转率(时间遗传分化,G'ST)。 MHC等位基因频率的时间波动可能比在中性基因座处观察到的变化大≥数量级。尽管MHC中的如此大的波动与Red Queen动力学一致,但模拟表明其他人口统计和种群遗传过程也可以解释这一现象,其中包括:(1)过度选择,(2)种群中种群规模的波动,以及( 3)当有多个重复的基因时,移民引入的新的MHC等位基因的数量。这些力与迁移率和有效种群数量的协同作用可以推动MHC等位基因的快速周转。我们认为,快速的等位基因更新是高度多态的多基因家族的固有特性,因此不能作为红色女王动力学的证据。此外,在空间FST离群值分析中组合时间样本可能会使选择信号模糊。

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