Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Antimicrobial Resistance Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
mSystems. 2022 Apr 26;7(2):e0013522. doi: 10.1128/msystems.00135-22. Epub 2022 Mar 21.
Bacteriophage (phage) are both predators and evolutionary drivers for bacteria, notably contributing to the spread of antimicrobial resistance (AMR) genes by generalized transduction. Our current understanding of this complex relationship is limited. We used an interdisciplinary approach to quantify how these interacting dynamics can lead to the evolution of multidrug-resistant bacteria. We cocultured two strains of methicillin-resistant Staphylococcus aureus, each harboring a different antibiotic resistance gene, with generalized transducing phage. After a growth phase of 8 h, bacteria and phage surprisingly coexisted at a stable equilibrium in our culture, the level of which was dependent on the starting concentration of phage. We detected double-resistant bacteria as early as 7 h, indicating that transduction of AMR genes had occurred. We developed multiple mathematical models of the bacteria and phage relationship and found that phage-bacteria dynamics were best captured by a model in which phage burst size decreases as the bacteria population reaches stationary phase and where phage predation is frequency-dependent. We estimated that one in every 10 new phage generated was a transducing phage carrying an AMR gene and that double-resistant bacteria were always predominantly generated by transduction rather than by growth. Our results suggest a shift in how we understand and model phage-bacteria dynamics. Although rates of generalized transduction could be interpreted as too rare to be significant, they are sufficient in our system to consistently lead to the evolution of multidrug-resistant bacteria. Currently, the potential of phage to contribute to the growing burden of AMR is likely underestimated. Bacteriophage (phage), viruses that can infect and kill bacteria, are being investigated through phage therapy as a potential solution to the threat of antimicrobial resistance (AMR). In reality, however, phage are also natural drivers of bacterial evolution by transduction when they accidentally carry nonphage DNA between bacteria. Using laboratory work and mathematical models, we show that transduction leads to evolution of multidrug-resistant bacteria in less than 8 h and that phage production decreases when bacterial growth decreases, allowing bacteria and phage to coexist at stable equilibria. The joint dynamics of phage predation and transduction lead to complex interactions with bacteria, which must be clarified to prevent phage from contributing to the spread of AMR.
噬菌体(phage)既是细菌的捕食者,也是其进化的驱动力,通过普遍转导显著促进了抗菌药物耐药(AMR)基因的传播。我们目前对这种复杂关系的了解有限。我们采用跨学科方法来量化这些相互作用的动态如何导致多药耐药细菌的进化。我们将两种耐甲氧西林金黄色葡萄球菌(MRSA)菌株共培养,每种菌株都携带不同的抗生素耐药基因,并使用普遍转导噬菌体。在 8 小时的生长阶段后,令人惊讶的是,在我们的培养物中,细菌和噬菌体在一个稳定的平衡中共存,其水平取决于噬菌体的起始浓度。我们早在 7 小时就检测到了双耐药细菌,表明 AMR 基因已发生转导。我们开发了多种细菌和噬菌体关系的数学模型,并发现噬菌体-细菌动力学最好由一个模型来捕捉,该模型中噬菌体的爆发大小随着细菌种群达到静止期而减小,并且噬菌体的捕食是频率依赖的。我们估计,每生成的 10 个新噬菌体中就有一个是携带 AMR 基因的转导噬菌体,并且双耐药细菌总是主要由转导而不是生长产生。我们的研究结果表明,我们对噬菌体-细菌动力学的理解和建模方式发生了转变。虽然普遍转导的速度可能被解释为太低而不重要,但在我们的系统中,它们足以持续导致多药耐药细菌的进化。目前,噬菌体对抗生素耐药性(AMR)日益增长的负担的潜在贡献可能被低估了。噬菌体(phage),即可以感染和杀死细菌的病毒,正作为一种对抗抗生素耐药性(AMR)威胁的潜在解决方案,通过噬菌体治疗进行研究。然而,在现实中,当噬菌体偶然在细菌之间携带非噬菌体 DNA 时,它们也是细菌进化的自然驱动力。通过实验室工作和数学模型,我们表明,转导导致多药耐药细菌在不到 8 小时内进化,并且当细菌生长减少时,噬菌体的产生减少,从而使细菌和噬菌体在稳定的平衡中共存。噬菌体捕食和转导的联合动力学与细菌产生复杂的相互作用,必须加以澄清,以防止噬菌体助长 AMR 的传播。