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Properties of selected mutations and genotypic landscapes under Fisher’s Geometric Model

机译:Fisher几何模型下选定突变和基因型景观的特性

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摘要

The fitness landscape – the mapping between genotypes and fitness – determines properties of the process of adaptation. Several small genotypic fitness landscapes have recently been built by selecting a handful of beneficial mutations and measuring fitness of all combinations of these mutations. Here we generate several testable predictions for the properties of these small genotypic landscapes under Fisher’s geometric model of adaptation. When the ancestral strain is far from the fitness optimum, we analytically compute the fitness effect of selected mutations and their epistatic interactions. Epistasis may be negative or positive on average depending on the distance of the ancestral genotype to the optimum and whether mutations were independently selected, or co-selected in an adaptive walk. Simulations show that genotypic landscapes built from Fisher’s model are very close to an additive landscape when the ancestral strain is far from the optimum. However, when it is close to the optimum, a large diversity of landscape with substantial roughness and sign epistasis emerged. Strikingly, small genotypic landscapes built from several replicate adaptive walks on the same underlying landscape were highly variable, suggesting that several realizations of small genotypic landscapes are needed to gain information about the underlying architecture of the fitness landscape.
机译:适应状况-基因型和适应度之间的映射-决定适应过程的性质。通过选择少数有益的突变并测量这些突变的所有组合的适应度,最近已经建立了几个小的基因型适应度景观。在这里,我们根据Fisher的几何适应模型,为这些小型基因型景观的特性生成了一些可检验的预测。当祖先应变远未达到最佳适应度时,我们将分析计算所选突变及其上位相互作用的适应度。根据祖先基因型与最佳基因的距离以及突变是独立选择还是在适应性行走中共同选择,上位性平均可能为阴性或阳性。仿真表明,当祖先应变远未达到最佳值时,根据Fisher模型建立的基因型景观就非常接近加性景观。但是,当接近最佳值时,出现了具有明显粗糙度和标志上位的景观多样性。引人注目的是,在同一基础景观上通过多次重复的适应性游走构建的小型基因型景观具有很大的可变性,这表明需要对小型基因型景观进行多种实现才能获得有关健身景观基础结构的信息。

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