Predictability shifts from local to global rules during bacterial adaptation

التفاصيل البيبلوغرافية
العنوان: Predictability shifts from local to global rules during bacterial adaptation
المؤلفون: Alejandro Couce, Melanie Magnan, Richard E. Lenski, Olivier Tenaillon
بيانات النشر: Cold Spring Harbor Laboratory, 2022.
سنة النشر: 2022
الوصف: The distribution of fitness effects of new mutations is central to predicting adaptive evolution, but observing how it changes as organisms adapt is challenging. Here we use saturated, genome-wide insertion libraries to quantify how the fitness effects of new mutations changed in twoE. colipopulations that adapted to a constant environment for 15,000 generations. The proportions of neutral and deleterious mutations remained constant, despite large fitness gains. In contrast, the beneficial fraction declined rapidly, approximating an exponential distribution, with strong epistasis profoundly changing the genetic identity of adaptive mutations. Despite this volatility, many important targets of selection were predictable from the ancestral distribution. This predictability occurs because genetic target size contributed to the fixation of beneficial mutations as much as or more than their effect sizes. Overall, our results demonstrate that short-term adaptation can be idiosyncratic but empirically predictable, and that long-term dynamics can be described by simple statistical principles.One-Sentence SummaryCouce et al. demonstrate that short-term bacterial adaptation is predictable at the scale of individual genes, while long-term adaptation is predictable at a global scale.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8244345725ad01cbd9d36e88b22f615f
https://doi.org/10.1101/2022.05.17.492360
رقم الأكسشن: edsair.doi...........8244345725ad01cbd9d36e88b22f615f
قاعدة البيانات: OpenAIRE