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Patterns of variation during adaptation in functionally linked loci

机译:功能关联基因座适应过程中的变异模式

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An understanding of the distribution of natural patterns of genetic variation is relevant to such fundamental biological fields as evolution and development. One recent approach to understanding such patterns has been to focus on the constraints that may arise as a function of the network or pathway context in which genes are embedded. Despite theoretical expectations of higher evolutionary constraint for genes encoding upstream versus downstream enzymes in metabolic pathways, empirical results have varied. Here we combine two complementary models from population genetics and enzyme kinetics to explore genetic variation as a function of pathway position when selection acts on whole-pathway flux. We are able to qualitatively reproduce empirically observed patterns of polymorphism and divergence and suggest that expectations should vary depending on the evolutionary trajectory of a population. Upstream genes are initially more polymorphic and diverge faster after an environmental change, while we see the opposite trend as the population approaches its fitness optimum.
机译:对遗传变异自然模式分布的理解与诸如进化和发展等基本生物学领域有关。理解这种模式的一种最新方法是集中于可能因嵌入基因的网络或途径环境而产生的限制。尽管理论上对代谢途径中编码上游和下游酶的基因有更高的进化限制,但经验结果却有所不同。在这里,我们结合了来自种群遗传学和酶动力学的两个互补模型,以探索当选择作用于全通路通量时遗传变异与通路位置的关系。我们能够定性地重现经验观察到的多态性和差异模式,并建议期望值应根据人群的进化轨迹而变化。上游基因最初具有更多的多态性,并且在环境变化后发散速度更快,而随着种群接近其最佳适应性,我们看到了相反的趋势。

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