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使噬菌体适应新宿主的方案的数学比较

Mathematical comparison of protocols for adapting a bacteriophage to a new host.

作者信息

Bull James J, Krone Stephen M

机构信息

Department of Biological Sciences, University of Idaho, 875 Perimeter drive, Moscow, ID 83844, United States.

Institute for Modeling Collaboration and Innovation, University of Idaho, 875 Perimeter drive, Moscow, ID 83844, United States.

出版信息

Virus Evol. 2024 Nov 22;10(1):veae100. doi: 10.1093/ve/veae100. eCollection 2024.

Abstract

Interest in phage therapy-the use of bacterial viruses to treat infections-has increased recently because of the rise of infections with antibiotic-resistant bacteria and the failure to develop new antibiotics to treat those infections. Phages have shown therapeutic promise in recent work, and successful treatment minimally requires giving the patient a phage that will grow on their infecting bacterium. Although nature offers a bountiful and diverse supply of phages, there have been a surprising number of patient infections that could not be treated with phages because no suitable phage was found to kill the patient's bacterium. Here, we develop computational models to analyze an alternative approach to obtaining phages with new host ranges-directed evolution via laboratory propagation of phages to select mutants that can grow on a new host. The models separately explore alternative directed evolution protocols for phage variants that overcome three types of bacterial blocks to phage growth: a block in adsorption, temperate phage immunity to superinfection, and abortive infection. Protocols assume serial transfer to amplify pre-existing, small-effect mutants that are initially rare. Best protocols are sensitive to the nature of the block, and the models provide several insights for enhancing success specific to each case. A common result is that low dilution rates between transfers are beneficial in reducing the mutant growth rate needed to ascend. Selection to overcome an adsorption block is insensitive to many protocol variations but benefits from long selection times between transfers. A temperate phage selected to grow on its lysogens can evolve in any of three phenotypes, but a common protocol favors the desired changes in all three. Abortive infection appears to be the least amenable to evolving phage growth because it is prone to select phages that avoid infection.

摘要

由于抗生素耐药性细菌感染的增加以及未能开发出新的抗生素来治疗这些感染,人们对噬菌体疗法(利用细菌病毒治疗感染)的兴趣最近有所上升。噬菌体在最近的研究中显示出治疗前景,而成功治疗至少需要给患者使用一种能在其感染细菌上生长的噬菌体。尽管自然界提供了丰富多样的噬菌体,但令人惊讶的是,有相当数量的患者感染无法用噬菌体治疗,因为没有找到合适的噬菌体来杀死患者的细菌。在这里,我们开发了计算模型,以分析一种获得具有新宿主范围噬菌体的替代方法——通过噬菌体的实验室传代进行定向进化,以选择能够在新宿主上生长的突变体。这些模型分别探索了针对噬菌体变体的替代定向进化方案,这些变体克服了三种噬菌体生长的细菌障碍:吸附障碍、温和噬菌体对超感染的免疫以及流产感染。方案假设进行连续传代以扩增最初罕见的、具有小效应的预先存在的突变体。最佳方案对障碍的性质敏感,并且这些模型为增强每种情况的成功率提供了一些见解。一个常见的结果是,传代之间的低稀释率有利于降低上升所需的突变体生长速率。克服吸附障碍的选择对许多方案变化不敏感,但受益于传代之间的长时间选择。选择在其溶原菌上生长的温和噬菌体可以进化出三种表型中的任何一种,但一个常见的方案有利于所有三种表型发生期望的变化。流产感染似乎最不容易使噬菌体生长进化,因为它容易选择避免感染的噬菌体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06a3/11665826/1f42807ed9fa/veae100f1.jpg

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