考虑突变和竞争的噬菌体-细菌相互作用的SIMPL模型。

IF 2 4区 数学 Q2 BIOLOGY
Carli Peterson, Darsh Gandhi, Austin Carlson, Aaron Lubkemann, Emma Richardson, John Serralta, Michael S Allen, Souvik Roy, Christopher M Kribs, Hristo V Kojouharov
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引用次数: 0

摘要

铜绿假单胞菌是一种机会致病菌,可在医院环境中引起致命感染和暴发。由于铜绿假单胞菌耐药菌株的日益流行,对替代疗法的需求是至关重要的。噬菌体治疗是一种很有前途的方法;然而,由于对细菌细胞和噬菌体病毒体之间复杂相互作用的了解有限,它仍未被批准用于临床应用。数学模型提供了对这些相互作用的洞察。通过一个常微分方程系统,我们成功地捕获了微孔环境中易感、感染和突变的细菌细胞和噬菌体病毒粒子之间的动力学。基于该模型的数据拟合产生了一组独特的参数估计,我们对特定噬菌体和铜绿假单胞菌菌株的实验观察。在将观察到的光密度读数转换为细菌浓度时,我们还发现细菌碎片对光密度有显著影响,一个裂解的细菌对光密度读数的贡献大约是一个活细胞的31%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A SIMPL Model of Phage-Bacteria Interactions Accounting for Mutation and Competition.

Pseudomonas aeruginosa is an opportunistically pathogenic bacteria that causes fatal infections and outbreaks in hospital environments. Due to the increasing prevalence of antibiotic-resistant strains of P. aeruginosa, the need for alternative therapies is critical. Bacteriophage therapy is emerging as a promising approach; however, it remains unapproved for clinical use and is hindered by limited understanding of the complex interactions between bacterial cells and phage virions. Mathematical models provide insight into these interactions. Through a system of ordinary differential equations, we successfully capture the dynamics observed between susceptible, infected, and mutated bacterial cells and bacteriophage virions in a microwell setting. Data fitting based on this model produced a set of parameter estimates unique to our experimental observations of a specific phage and P. aeruginosa strain. In translating observed optical density readings into bacterial concentrations, we also found that bacterial debris has a significant impact on optical density, with a lysed bacterium contributing roughly 31 % as much to optical density readings as a living cell.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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