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The consequences of gene flow for local adaptation and differentiation: a two-locus two-deme model

机译:基因流对局部适应和分化的影响:两基因座两面体模型

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We consider a population subdivided into two demes connected by migration in which selection acts in opposite direction.We explore the effects of recombination and migration on the maintenance of multilocus polymorphism, on local adaptation, and on differentiation by employing a deterministic model with genic selection on two linked diallelic loci (i.e., no dominance or epistasis). For the following cases, we characterize explicitly the possible equilibrium configurations: weak, strong, highly asymmetric, and super-symmetric migration, no or weak recombination, and independent or strongly recombining loci. For independent loci (linkage equilibrium) and for completely linked loci, we derive the possible bifurcation patterns as functions of the total migration rate, assuming all other parameters are fixed but arbitrary. For these and other cases, we determine analytically the maximum migration rate below which a stable fully polymorphic equilibrium exists. In this case, differentiation and local adaptation are maintained. Their degree is quantified by a new multilocus version of F_(ST) and by the migration load, respectively. In addition, we investigate the invasion conditions of locally beneficial mutants and show that linkage to a locus that is already in migration-selection balance facilitates invasion. Hence, loci of much smaller effect can invade than predicted by one-locus theory if linkage is sufficiently tight.We study how this minimum amount of linkage admitting invasion depends on the migration pattern. This suggests the emergence of clusters of locally beneficial mutations, which may form 'genomic islands of divergence'. Finally, the influence of linkage and twoway migration on the effective migration rate at a linked neutral locus is explored. Numerical work complements our analytical results.
机译:我们考虑通过迁移以选择方向相反的方式将种群细分为两个种群,我们通过使用确定性模型和遗传选择来探索重组和迁移对维持多基因座多态性,局部适应和分化的影响。两个连锁的拨号基因座(即没有优势或上位性)。对于以下情况,我们明确描述了可能的平衡构型:弱,强,高度不对称和超对称迁移,无或弱重组以及独立或强重组基因座。对于独立的基因座(连锁平衡)和完全连锁的基因座,我们假设所有其他参数都是固定的但任意的,因此得出了可能的分叉模式作为总迁移率的函数。对于这些情况和其他情况,我们通过分析确定最大迁移速率,在该最大迁移速率以下,存在稳定的完全多态平衡。在这种情况下,可以保持差异性和局部适应性。它们的程度分别通过新的F_(ST)多场所版本和迁移负载来量化。此外,我们调查了局部有益突变体的入侵条件,并表明与已经在迁移选择平衡中的基因座的连锁促进了入侵。因此,如果连锁关系足够紧密,则可能会比单基因座理论预测的效果小得多的基因位点进入。我们研究了允许入侵的最小连锁数量如何取决于迁移模式。这表明出现了局部有益突变簇,它们可能形成“基因组差异岛”。最后,探讨了连锁和双向迁移对连锁中性位点有效迁移速率的影响。数值工作补充了我们的分析结果。

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