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PHORCE揭示的噬菌体扩增速率和噬菌体-抗生素相互作用的极端多样性。

Extreme diversity of phage amplification rates and phage-antibiotic interactions revealed by PHORCE.

作者信息

Mulla Yuval, Müller Janina, Trimcev Denny, Bollenbach Tobias

机构信息

Institute for Biological Physics, University of Cologne, Cologne, Germany.

Molecular Microbiology, A-LIFE, AIMMS, Vrije Universiteit, Amsterdam, The Netherlands.

出版信息

PLoS Biol. 2025 Apr 8;23(4):e3003065. doi: 10.1371/journal.pbio.3003065. eCollection 2025 Apr.

Abstract

Growth rate plays a fundamental role in microbiology and serves as an important proxy for fitness in evolution. While high-throughput measurements of bacterial growth rates are easily performed in any microbiology laboratory, similar methods are lacking for bacteriophages. This gap hinders systematic comparisons of important phage phenotypes, such as their amplification rate in bacterial populations and their bactericidal effect, across different phages and environmental conditions. Here, we show that the amplification rate of lytic phages can be quantified by analyzing bacterial population growth and collapse dynamics under phage predation using a parsimonious mathematical model - an approach termed Phage-Host Observation for Rate estimation from Collapse Events (PHORCE). We found that the resulting phage amplification rate captures the bactericidal effect independent of initial phage and bacterial population sizes for fast-growing hosts and adsorption-limited phages. Using high-throughput PHORCE, we found that the amplification rates of Escherichia coli phages vary widely by more than three orders of magnitude. Furthermore, our approach suggests that phage-antibiotic interactions are predominantly determined by the antibiotic, and not by the phage. In particular, the ribosome-inhibiting antibiotic doxycycline generally showed antagonism with phage amplification, whereas the DNA-damaging antibiotic nitrofurantoin was synergistic. This framework provides a means to quantitatively characterize phage phenotypes and may facilitate future high-throughput phage screens for antibacterial applications.

摘要

生长速率在微生物学中起着基础性作用,并且是进化中适应性的一个重要指标。虽然在任何微生物实验室都能轻松进行细菌生长速率的高通量测量,但针对噬菌体却缺乏类似的方法。这一差距阻碍了对重要噬菌体表型进行系统比较,比如不同噬菌体在细菌群体中的扩增速率及其杀菌效果,以及在不同环境条件下的情况。在此,我们表明,通过使用一个简约的数学模型分析噬菌体捕食下细菌群体的生长和崩溃动态,能够量化裂解性噬菌体的扩增速率——这种方法被称为基于崩溃事件的噬菌体 - 宿主观察速率估计法(PHORCE)。我们发现,对于快速生长的宿主和吸附受限的噬菌体,由此得出的噬菌体扩增速率能够捕捉杀菌效果,且与初始噬菌体和细菌群体大小无关。使用高通量PHORCE,我们发现大肠杆菌噬菌体的扩增速率差异很大,相差超过三个数量级。此外,我们的方法表明,噬菌体 - 抗生素相互作用主要由抗生素决定,而非噬菌体。特别是,抑制核糖体的抗生素强力霉素通常与噬菌体扩增表现出拮抗作用,而破坏DNA的抗生素呋喃妥因则具有协同作用。这个框架提供了一种定量表征噬菌体表型的方法,可能会促进未来用于抗菌应用的高通量噬菌体筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/12013923/e7b30e46f533/pbio.3003065.g001.jpg

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