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The magnitude of local adaptation under genotype‐dependent dispersal

机译:基因型依赖性弥散下的局部适应程度

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AbstractDispersal moves individuals from patches where their immediate ancestors were successful to sites where their genotypes are untested. As a result, dispersal generally reduces fitness, a phenomenon known as “migration load.” The strength of migration load depends on the pattern of dispersal and can be dramatically lessened or reversed when individuals move preferentially toward patches conferring higher fitness. Evolutionary ecologists have long modeled nonrandom dispersal, focusing primarily on its effects on population density over space, the maintenance of genetic variation, and reproductive isolation. Here, we build upon previous work by calculating how the extent of local adaptation and the migration load are affected when individuals differ in their dispersal rate in a genotype-dependent manner that alters their match to their environment. Examining a one-locus, two-patch model, we show that local adaptation occurs through a combination of natural selection and adaptive dispersal. For a substantial portion of parameter space, adaptive dispersal can be the predominant force generating local adaptation. Furthermore, genetic load may be largely averted with adaptive dispersal whenever individuals move before selective deaths occur. Thus, to understand the mechanisms driving local adaptation, biologists must account for the extent and nature of nonrandom, genotype-dependent dispersal, and the potential for adaptation via spatial sorting of genotypes.
机译:AbstractDispersal将个人从其直系祖先成功的斑块转移到其基因型未经测试的地点。结果,分散通常会降低适应度,这种现象称为“迁移负荷”。迁移负荷​​的强度取决于散布的模式,当个人优先选择具有较高适应性的斑块移动时,迁移负荷的强度会大大降低或逆转。进化生态学家长期以来一直以非随机扩散为模型,主要关注其对空间人口密度,遗传变异的维持和生殖隔离的影响。在这里,我们以先前的工作为基础,通过计算当个体以不同的基因型依赖方式改变其对环境的匹配程度时,本地适应程度和迁移负荷如何受到影响。检验单基因座,两斑模型,我们表明局部适应是通过自然选择和适应性分散相结合而​​发生的。对于大部分参数空间,自适应分散可以是产生局部自适应的主要力。此外,只要个体在有选择的死亡发生之前移动,就可以通过适应性分散在很大程度上避免遗传负荷。因此,要了解驱动局部适应的机制,生物学家必须考虑非随机性,基因型依赖性扩散的程度和性质,以及通过基因型空间分类进行适应的潜力。

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