BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA.
Science. 2013 Dec 13;342(6164):1364-7. doi: 10.1126/science.1243357. Epub 2013 Nov 14.
Experimental studies of evolution have increased greatly in number in recent years, stimulated by the growing power of genomic tools. However, organismal fitness remains the ultimate metric for interpreting these experiments, and the dynamics of fitness remain poorly understood over long time scales. Here, we examine fitness trajectories for 12 Escherichia coli populations during 50,000 generations. Mean fitness appears to increase without bound, consistent with a power law. We also derive this power-law relation theoretically by incorporating clonal interference and diminishing-returns epistasis into a dynamical model of changes in mean fitness over time.
近年来,随着基因组工具威力的不断增强,进化的实验研究数量大大增加。然而,生物体的适应性仍然是解释这些实验的最终衡量标准,而在长时间尺度上,适应性的动态仍然知之甚少。在这里,我们研究了 12 个大肠杆菌种群在 50000 代中的适应性轨迹。平均适应性似乎呈无界增长,与幂律一致。我们还通过将克隆干扰和递减回报上位性纳入平均适应度随时间变化的动态模型,从理论上推导出这个幂律关系。