突变积累
突变率
非同义代换
生物
遗传学
适应(眼睛)
突变
基因组
谱系(遗传)
进化生物学
实验进化
选择(遗传算法)
自然选择
中性突变
基因
人工智能
神经科学
计算机科学
作者
Olivier Tenaillon,Jeffrey E. Barrick,Noah Ribeck,Daniel E. Deatherage,Jeffrey L. Blanchard,Aurko Dasgupta,Gabriel C. Wu,Sébastien Wielgoss,Stéphane Cruveiller,Claudine Médigue,Dominique Schneider,Richard E. Lenski
出处
期刊:Nature
[Springer Nature]
日期:2016-08-01
卷期号:536 (7615): 165-170
被引量:436
摘要
Adaptation by natural selection depends on the rates, effects and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. Here we analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model in which most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.
科研通智能强力驱动
Strongly Powered by AbleSci AI