Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID 83844, USA.
Cells. 2024 Mar 28;13(7):585. doi: 10.3390/cells13070585.
Recombination among different phages sometimes facilitates their ability to grow on new hosts. Protocols to direct the evolution of phage host range, as might be used in the application of phage therapy, would then benefit from including steps to enable recombination. Applying mathematical and computational models, in addition to experiments using phages T3 and T7, we consider ways that a protocol may influence recombination levels. We first address coinfection, which is the first step to enabling recombination. The multiplicity of infection (MOI, the ratio of phage to cell concentration) is insufficient for predicting (co)infection levels. The force of infection (the rate at which cells are infected) is also critical but is more challenging to measure. Using both a high force of infection and high MOI (>1) for the different phages ensures high levels of coinfection. We also apply a four-genetic-locus model to study protocol effects on recombinant levels. Recombinants accumulate over multiple generations of phage growth, less so if one phage outgrows the other. Supplementing the phage pool with the low-fitness phage recovers some of this 'lost' recombination. Overall, fine tuning of phage recombination rates will not be practical with wild phages, but qualitative enhancement can be attained with some basic procedures.
不同噬菌体之间的重组有时会增强它们在新宿主上生长的能力。如果将噬菌体疗法应用于定向噬菌体宿主范围的进化,那么包含促进重组的步骤将从中受益。我们应用数学和计算模型,除了使用 T3 和 T7 噬菌体的实验外,还考虑了方案可能影响重组水平的方式。我们首先解决了共感染问题,这是实现重组的第一步。感染复数(MOI,噬菌体与细胞浓度的比值)不足以预测(共)感染水平。感染强度(细胞被感染的速度)也很关键,但更难测量。对于不同的噬菌体,使用高感染强度和高 MOI(>1)可确保高水平的共感染。我们还应用了一个四基因座模型来研究方案对重组水平的影响。重组体在噬菌体生长的多个世代中积累,如果一种噬菌体比另一种噬菌体生长更快,则积累速度会降低。用低适应度噬菌体补充噬菌体池可以恢复部分“丢失”的重组。总体而言,通过野生噬菌体来精确调整噬菌体的重组率是不切实际的,但通过一些基本的操作可以实现定性增强。