Inria Saclay - Ile-de-France, 91120 Palaiseau, France.
Institut Pasteur, USR 3756 IP CNRS, 75015 Paris, France.
PLoS Comput Biol. 2019 Jul 2;15(7):e1007168. doi: 10.1371/journal.pcbi.1007168. eCollection 2019 Jul.
Mathematical models have been used successfully at diverse scales of biological organization, ranging from ecology and population dynamics to stochastic reaction events occurring between individual molecules in single cells. Generally, many biological processes unfold across multiple scales, with mutations being the best studied example of how stochasticity at the molecular scale can influence outcomes at the population scale. In many other contexts, however, an analogous link between micro- and macro-scale remains elusive, primarily due to the challenges involved in setting up and analyzing multi-scale models. Here, we employ such a model to investigate how stochasticity propagates from individual biochemical reaction events in the bacterial innate immune system to the ecology of bacteria and bacterial viruses. We show analytically how the dynamics of bacterial populations are shaped by the activities of immunity-conferring enzymes in single cells and how the ecological consequences imply optimal bacterial defense strategies against viruses. Our results suggest that bacterial populations in the presence of viruses can either optimize their initial growth rate or their population size, with the first strategy favoring simple immunity featuring a single restriction modification system and the second strategy favoring complex bacterial innate immunity featuring several simultaneously active restriction modification systems.
数学模型已成功应用于不同尺度的生物学组织中,从生态学和种群动态到单个细胞中个体分子之间的随机反应事件。一般来说,许多生物学过程在多个尺度上展开,突变是研究分子尺度上的随机性如何影响种群尺度上的结果的最佳例子。然而,在许多其他情况下,微观和宏观尺度之间的类似联系仍然难以捉摸,主要是由于建立和分析多尺度模型所涉及的挑战。在这里,我们使用这样的模型来研究随机性如何从细菌先天免疫系统中的单个生化反应事件传播到细菌和细菌病毒的生态学。我们分析性地展示了赋予免疫功能的酶在单细胞中的活性如何塑造细菌种群的动态,以及生态后果如何暗示针对病毒的最佳细菌防御策略。我们的结果表明,存在病毒的细菌种群可以优化其初始增长率或种群规模,第一种策略有利于具有单个限制修饰系统的简单免疫,第二种策略有利于具有几个同时活跃的限制修饰系统的复杂细菌先天免疫。