The impact of simultaneous infections on phage-host ecology

IF 1.2 4区 生物学 Q4 ECOLOGY
Jaye Sudweeks , Christoph Hauert
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Abstract

Phages use bacterial host resources to replicate, intrinsically linking phage and host survival. To understand phage dynamics, it is essential to understand phage-host ecology. A key step in this ecology is infection of bacterial hosts. Previous work has explored single and multiple, sequential infections. Here we focus on the theory of simultaneous infections, where multiple phages simultaneously attach to and infect one bacterial host cell. Simultaneous infections are a relevant infection dynamic to consider, especially at high phage densities when many phages attach to a single host cell in a short time window. For high bacterial growth rates, simultaneous infection can result in bi-stability: depending on initial conditions phages go extinct or co-exist with hosts, either at stable densities or through periodic oscillations of a stable limit cycle. This bears important consequences for phage applications such as phage therapy: phages can persist even though they cannot invade. Consequently, through spikes in phage densities it is possible to infect a bacterial population even when the phage basic reproductive number is less than one. In the regime of stable limit cycles, if timed right, only small densities of phage may be necessary.
同时感染对噬菌体-宿主生态的影响。
噬菌体利用细菌宿主资源进行复制,将噬菌体和宿主的生存内在地联系在一起。要了解噬菌体动力学,必须了解噬菌体-宿主生态学。这个生态系统的关键一步是细菌宿主的感染。以前的工作已经探索了单次和多次连续感染。在这里,我们专注于同时感染理论,其中多个噬菌体同时附着并感染一个细菌宿主细胞。同时感染是一个需要考虑的相关感染动态,特别是在高噬菌体密度时,当许多噬菌体在短时间内附着在单个宿主细胞上时。对于高细菌生长速率,同时感染可能导致双稳定:根据初始条件,噬菌体要么以稳定的密度灭绝,要么通过稳定极限环的周期性振荡与宿主共存。这对噬菌体应用(如噬菌体治疗)具有重要意义:即使噬菌体不能侵入,它们也可以持续存在。因此,通过噬菌体密度的峰值,即使噬菌体的基本繁殖数小于1,也有可能感染细菌种群。在稳定的极限环条件下,如果时间合适,可能只需要小密度的噬菌体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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