适应性进化
适应(眼睛)
选择(遗传算法)
自然选择
变化(天文学)
群体遗传学
人口
进化生物学
生物
数量遗传学
计算机科学
遗传变异
遗传学
机器学习
人口学
基因
神经科学
社会学
物理
天体物理学
作者
Carrie F. Olson-Manning,Maggie R. Wagner,Thomas Mitchell‐Olds
摘要
The theoretical principles of adaptive evolution are being put to the test in a growing range of species and populations, particularly with new sequencing technologies and high-throughput experimental methods making headway in this area. Adaptive evolution is shaped by the interaction of population genetics, natural selection and underlying network and biochemical constraints. Variation created by mutation, the raw material for evolutionary change, is translated into phenotypes by flux through metabolic pathways and by the topography and dynamics of molecular networks. Finally, the retention of genetic variation and the efficacy of selection depend on population genetics and demographic history. Emergent high-throughput experimental methods and sequencing technologies allow us to gather more evidence and to move beyond the theory in different systems and populations. Here we review the extent to which recent evidence supports long-established theoretical principles of adaptation.
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