可进化性
稳健性(进化)
选择(遗传算法)
进化生物学
生物
遗传学
计算生物学
计算机科学
人工智能
基因
作者
Jia Zheng,Ning Guo,Andreas Wagner
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2020-12-03
卷期号:370 (6521)
被引量:123
标识
DOI:10.1126/science.abb5962
摘要
Natural selection can promote or hinder a population's evolvability-the ability to evolve new and adaptive phenotypes-but the underlying mechanisms are poorly understood. To examine how the strength of selection affects evolvability, we subjected populations of yellow fluorescent protein to directed evolution under different selection regimes and then evolved them toward the new phenotype of green fluorescence. Populations under strong selection for the yellow phenotype evolved the green phenotype most rapidly. They did so by accumulating mutations that increase both robustness to mutations and foldability. Under weak selection, neofunctionalizing mutations rose to higher frequency at first, but more frequent deleterious mutations undermined their eventual success. Our experiments show how selection can enhance evolvability by enhancing robustness and create the conditions necessary for evolutionary success.
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