健身景观
可预测性
进化生物学
生态学
生物
达尔文主义
数学
统计
人口
人口学
社会学
作者
Andrei Papkou,Lucía García-Pastor,José Antonio Escudero,Andreas Wagner
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2023-11-23
卷期号:382 (6673)
被引量:47
标识
DOI:10.1126/science.adh3860
摘要
Fitness landscape theory predicts that rugged landscapes with multiple peaks impair Darwinian evolution, but experimental evidence is limited. In this study, we used genome editing to map the fitness of >260,000 genotypes of the key metabolic enzyme dihydrofolate reductase in the presence of the antibiotic trimethoprim, which targets this enzyme. The resulting landscape is highly rugged and harbors 514 fitness peaks. However, its highest peaks are accessible to evolving populations via abundant fitness-increasing paths. Different peaks share large basins of attraction that render the outcome of adaptive evolution highly contingent on chance events. Our work shows that ruggedness need not be an obstacle to Darwinian evolution but can reduce its predictability. If true in general, the complexity of optimization problems on realistic landscapes may require reappraisal.
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