Gregory R, Saunders V A, Saunders J R
School of Biological Sciences, University of Liverpool, Biosciences Building, Liverpool, United Kingdom.
Biosystems. 2010 Jun;100(3):166-77. doi: 10.1016/j.biosystems.2010.02.010. Epub 2010 Mar 6.
An individual-based model (IbM) for bacterial adaptation and evolution, COSMIC-Rules, has been employed to simulate interactions of virtual temperate bacteriophages (phages) and their bacterial hosts. Outcomes of infection mimic those of a phage such as lambda, which can enter either the lytic or lysogenic cycle, depending on the nutritional status of the host. Infection of different hosts possessing differing restriction and modification systems is also simulated. Phages restricted upon infection of one restricting host can be adapted (by host-controlled modification of the phage genome) and subsequently propagate with full efficiency on this host. However, such ability is lost if the progeny phages are passaged through a new host with a different restriction and modification system before attempted re-infection of the original restrictive host. The simulations show that adaptation and re-adaptation to a particular host-controlled restriction and modification system result in lower efficiency and delayed lysis of bacterial cells compared with infection of non-restricting host bacteria. Such biologically realistic simulations validate the use of the IbM approach to predicting behaviour of bacteriophages in bacterial populations. The applicability of the model for more complex scenarios aimed at predictive modelling of bacterial evolution in a changing environment and the implications for the spread of viruses in a wider context are discussed.
一种用于细菌适应和进化的基于个体的模型(IbM)——COSMIC-Rules,已被用于模拟虚拟温和噬菌体及其细菌宿主之间的相互作用。感染结果模拟了诸如λ噬菌体之类的噬菌体的感染结果,λ噬菌体可以根据宿主的营养状况进入裂解或溶原周期。还模拟了感染具有不同限制和修饰系统的不同宿主的情况。在感染一个具有限制作用的宿主时受到限制的噬菌体可以被适应(通过宿主控制的噬菌体基因组修饰),随后在该宿主上以完全效率增殖。然而,如果子代噬菌体在尝试重新感染原始限制性宿主之前通过具有不同限制和修饰系统的新宿主传代,这种能力就会丧失。模拟结果表明,与感染无限制作用的宿主细菌相比,适应和重新适应特定的宿主控制的限制和修饰系统会导致细菌细胞的裂解效率降低和延迟。这种生物学上逼真的模拟验证了使用IbM方法来预测噬菌体在细菌群体中的行为。讨论了该模型在更复杂场景中的适用性,这些场景旨在对不断变化的环境中的细菌进化进行预测建模,以及在更广泛背景下对病毒传播的影响。