Department of Microbiology, Genetics and Immunology, Michigan State University, East Lansing, MI, USA.
Ecology, Evolution and Behavior Program, Michigan State University, East Lansing, MI, USA.
Microbiology (Reading). 2024 Sep;170(9). doi: 10.1099/mic.0.001494.
Population bottlenecks can impact the rate of adaptation in evolving populations. On the one hand, each bottleneck reduces the genetic variation that fuels adaptation. On the other hand, each founder that survives a bottleneck can undergo more generations and leave more descendants in a resource-limited environment, which allows surviving beneficial mutations to spread more quickly. A theoretical model predicted that the rate of fitness gains should be maximized using ~8-fold dilutions. Here we investigate the impact of repeated bottlenecks on the dynamics of adaptation using numerical simulations and experimental populations of . Our simulations confirm the model's prediction when populations evolve in a regime where beneficial mutations are rare and waiting times between successful mutations are long. However, more extreme dilutions maximize fitness gains in simulations when beneficial mutations are common and clonal interference prevents most of them from fixing. To examine these predictions, we propagated 48 populations with 2-, 8-, 100-, and 1000-fold dilutions for 150 days. Adaptation began earlier and fitness gains were greater with 100- and 1000-fold dilutions than with 8-fold dilutions, consistent with the simulations when beneficial mutations are common. However, the selection pressures in the 2-fold treatment were qualitatively different from the other treatments, violating a critical assumption of the model and simulations. Thus, varying the dilution factor during periodic bottlenecks can have multiple effects on the dynamics of adaptation caused by differential losses of diversity, different numbers of generations, and altered selection.
种群瓶颈会影响进化种群的适应速度。一方面,每个瓶颈都会减少促进适应的遗传变异。另一方面,在资源有限的环境中,每个幸存下来的创始者可以经历更多的代际,留下更多的后代,从而使幸存的有利突变更快地传播。一个理论模型预测,使用约 8 倍的稀释度可以使适应率最大化。在这里,我们使用数值模拟和实验种群研究了重复瓶颈对适应动态的影响。当种群在有利突变罕见且成功突变之间等待时间较长的情况下进化时,我们的模拟结果证实了该模型的预测。然而,当有利突变常见且克隆干扰阻止大多数突变固定时,更极端的稀释度会使模拟中的适应率最大化。为了检验这些预测,我们对 48 个种群进行了繁殖,稀释倍数分别为 2、8、100 和 1000 倍,持续了 150 天。与 8 倍稀释度相比,100 倍和 1000 倍稀释度的适应开始更早,适应率更高,这与有利突变常见时的模拟结果一致。然而,2 倍处理中的选择压力与其他处理明显不同,违反了模型和模拟的一个关键假设。因此,在周期性瓶颈期间改变稀释因子会对适应动态产生多种影响,包括多样性的不同损失、不同的代际数量和改变的选择。