Choua Melinda, Heath Michael R, Speirs Douglas C, Bonachela Juan A
Marine Population Modelling Group, Department of Mathematics and Statistics, University of Strathclyde, Glasgow, Scotland, UK.
Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, New Jersey, United States.
J Theor Biol. 2020 Aug 7;498:110263. doi: 10.1016/j.jtbi.2020.110263. Epub 2020 Apr 22.
Phenotypic plasticity plays an important role in the survival of individuals. In microbial host-virus systems, previous studies have shown the stabilizing effect that host plasticity has on the coexistence of the system. By contrast, it remains uncertain how the dependence of the virus on the metabolism of the host (i.e. "viral plasticity") shapes bacteria-phage population dynamics in general, or the stability of the system in particular. Moreover, bacteria-phage models that do not consider viral plasticity are now recognised as overly simplistic. For these reasons, here we focus on the effect of viral plasticity on the stability of the system under different environmental conditions. We compared the predictions from a standard bacteria-phage model, which neglects plasticity, with those of a modification that includes viral plasticity. We investigated under which conditions viral plasticity promotes coexistence, with or without oscillatory dynamics. Our analysis shows that including viral plasticity reveals coexistence in regions of the parameter space where models without plasticity predict a collapse of the system. We also show that viral plasticity tends to reduce population oscillations, although this stabilizing effect is not consistently observed across environmental conditions: plasticity may instead reinforce dynamic feedbacks between the host, the virus, and the environment, which leads to wider oscillations. Our results contribute to a deeper understanding of the dynamic control of bacteriophage on host populations observed in nature.
表型可塑性在个体生存中起着重要作用。在微生物宿主 - 病毒系统中,先前的研究已经表明宿主可塑性对系统共存具有稳定作用。相比之下,病毒对宿主代谢的依赖性(即“病毒可塑性”)如何总体上塑造细菌 - 噬菌体种群动态,特别是系统的稳定性,仍然不确定。此外,不考虑病毒可塑性的细菌 - 噬菌体模型现在被认为过于简单。基于这些原因,我们在此关注病毒可塑性在不同环境条件下对系统稳定性的影响。我们将忽略可塑性的标准细菌 - 噬菌体模型的预测与包含病毒可塑性的修正模型的预测进行了比较。我们研究了在哪些条件下病毒可塑性促进共存,无论有无振荡动态。我们的分析表明,纳入病毒可塑性揭示了参数空间中一些区域的共存情况,而没有可塑性的模型在这些区域预测系统会崩溃。我们还表明,病毒可塑性倾向于减少种群振荡,尽管这种稳定作用在不同环境条件下并非始终可见:可塑性反而可能增强宿主、病毒和环境之间的动态反馈,从而导致更广泛的振荡。我们的结果有助于更深入地理解自然界中观察到的噬菌体对宿主种群的动态控制。