The role of mathematical modelling in understanding prokaryotic predation.

The role of mathematical modelling in understanding prokaryotic predation.
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DOI:
10.3389/fmicb.2022.1037407
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发表时间:
2022
影响因子:
5.2
通讯作者:
Kreft, Jan-Ulrich
Kreft, Jan-Ulrich
中科院分区:
生物学2区
文献类型:
--
作者:
Summers, J. Kimberley;Kreft, Jan-Ulrich

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随着影响人类和动物健康的抗微生物剂耐药性水平的增加,迫切需要治疗耐药性感染的新方法。噬菌体和捕食性细菌如噬菌蛭弧菌已被提出作为这种作用的合适候选者。微生物还作为碳和氮等营养物质的生产者或回收者发挥着关键的环境作用,而捕食者有能力成为微生物群落中的关键物种。迄今为止,许多研究都着眼于原核捕食者的作用机制,它们在体内模型中的安全性以及它们在特定条件下的作用和有效性。然而,数学模型允许研究人员调查更广泛的场景,包括捕食方面,这将是困难的,昂贵的,或耗时的实验研究。在这里,我们回顾了原核生物捕食建模的历史,从简单的Lotka-Volterra模型,通过增加复杂程度,包括多个猎物和捕食者物种,以及环境和空间因素。我们考虑模型如何帮助解决捕食者的行动机制周围的问题,并允许研究人员作出预测的捕食者-猎物系统的动态。我们研究什么样的模型可以告诉我们定性和定量的共性或细菌捕食者和噬菌体或原生生物之间的差异。我们还强调了模型如何解决现实世界的情况,如捕食者在消除猎物物种及其在塑造生态系统的潜在影响的可能有效性。最后,我们看看研究的问题,仍然是要解决的模型可能是有益的。
With increasing levels of antimicrobial resistance impacting both human and animal health, novel means of treating resistant infections are urgently needed. Bacteriophages and predatory bacteria such as Bdellovibrio bacteriovorus have been proposed as suitable candidates for this role. Microbes also play a key environmental role as producers or recyclers of nutrients such as carbon and nitrogen, and predators have the capacity to be keystone species within microbial communities. To date, many studies have looked at the mechanisms of action of prokaryotic predators, their safety in in vivo models and their role and effectiveness under specific conditions. Mathematical models however allow researchers to investigate a wider range of scenarios, including aspects of predation that would be difficult, expensive, or time-consuming to investigate experimentally. We review here a history of modelling in prokaryote predation, from simple Lotka-Volterra models, through increasing levels of complexity, including multiple prey and predator species, and environmental and spatial factors. We consider how models have helped address questions around the mechanisms of action of predators and have allowed researchers to make predictions of the dynamics of predator–prey systems. We examine what models can tell us about qualitative and quantitative commonalities or differences between bacterial predators and bacteriophage or protists. We also highlight how models can address real-world situations such as the likely effectiveness of predators in removing prey species and their potential effects in shaping ecosystems. Finally, we look at research questions that are still to be addressed where models could be of benefit.
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