Mechanisms of multi-strain coexistence in host-phage systems with nested infection networks

Mechanisms of multi-strain coexistence in host-phage systems with nested infection networks
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DOI:
10.1016/j.jtbi.2013.04.011
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发表时间:
2013-09-07
影响因子:
2
通讯作者:
Weitz, Joshua S.
Weitz, Joshua S.
中科院分区:
生物学4区
文献类型:
--
作者:
Jover, Luis F.;Cortez, Michael H.;Weitz, Joshua S.

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细菌及其病毒(噬菌体)在自然环境中共存,形成复杂的感染网络。最近的实证研究结果表明,噬菌体细菌感染网络通常具有嵌套结构,因此谁可以感染谁之间存在等级关系。在这里,我们考虑如何嵌套感染网络可能会影响噬菌体和细菌的动态使用多类型的Lotka-Volterra框架与交叉感染。在过去,对类似模型的分析都假设更简单的相互作用结构是走向易处理性的第一步。我们解决了所提出的模型,发现权衡条件的细菌和病毒的生活史特征,允许共存的社区与嵌套的感染网络。首先,我们发现细菌的生长速度应该随着对感染的防御能力的增加而降低。其次,我们发现病毒感染的效率应该随着宿主范围的增加而降低。接下来,我们建立了相对密度和生活史权衡曲率之间的关系。我们将目前的研究结果与多物种噬菌体细菌群落的“杀死赢家”模型进行比较和对比。最后,我们讨论了一套可检验的假设,从目前的模型感染范围,生活史特征和共存复杂的噬菌体细菌群落之间的关系。(C)2013爱思唯尔有限公司保留所有权利。
Bacteria and their viruses (bacteriophages) coexist in natural environments forming complex infection networks. Recent empirical findings suggest that phage bacteria infection networks often possess a nested structure such that there is a hierarchical relationship among who can infect whom. Here we consider how nested infection networks may affect phage and bacteria dynamics using a multi-type Lotka-Volterra framework with cross-infection. Analysis of similar models has, in the past, assumed simpler interaction structures as a first step towards tractability. We solve the proposed model, finding trade-off conditions on the life-history traits of both bacteria and viruses that allow coexistence in communities with nested infection networks. First, we find that bacterial growth rate should decrease with increasing defense against infection. Second, we find that the efficiency of viral infection should decrease with host range. Next, we establish a relationship between relative densities and the curvature of life history trade-offs. We compare and contrast the current findings to the "Kill-the-Winner" model of multi-species phage bacteria communities. Finally, we discuss a suite of testable hypotheses stemming from the current model concerning relationships between infection range, life history traits and coexistence in complex phage bacteria communities. (C) 2013 Elsevier Ltd. All rights reserved.