Systematic evaluation of phenotypic variations induced by prophages in a clinical isolate of Pseudomonas aeruginosa.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-23 Epub Date: 2025-08-15 DOI:10.1128/msystems.00428-25
Xiaoyu Li, Yang Tao, Bingrui Sui, DanDan Li, Lili Wang, Yumin Hou, Yongping Xu, Bijie Hu, Na Li, Demeng Tan
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引用次数: 0

Abstract

With the rise of antibiotic resistance, nosocomial infections caused by Pseudomonas aeruginosa present a significant challenge to healthcare systems. Prophages integrated into bacterial chromosomes play a key role in generating phenotypic and genotypic diversity, influencing bacterial pathogenicity and complicating antimicrobial treatment strategies. Recent advances in high-throughput sequencing have facilitated the precise localization of prophages within bacterial genomes. However, the mechanisms by which prophages influence host phenotypes remain poorly understood, particularly in clinical polylysogens. In this study, we conducted a comprehensive investigation of prophages predicted in the clinical P. aeruginosa isolate ZS-PA-05 in the absence of an external trigger, focusing on their contribution to bacterial phenotype through the use of prophage deletion mutants. Our findings indicate that ZS-PA-05 harbors both active and cryptic prophages, each exhibiting unique spontaneous induction rates. Notably, the absence of certain prophages significantly affects bacterial growth, motility, biofilm formation, antibiotic susceptibility, and phage proliferation, as well as virulence. Intriguingly, the deletion of prophage Y significantly increased pyocyanin production, enhancing interspecies competition and cell line survival, despite impaired bacterial growth. This underscores the complexity of prophage-host interactions and emphasizes the role of prophages in bacterial adaptation, with far-reaching implications for antimicrobial therapies and beyond.IMPORTANCEUpon infecting a bacterial host, phages can follow one of two developmental pathways: the lytic or lysogenic cycle. In the lysogenic state, prophages remain dormant, integrating into the bacterial genome and being vertically transmitted through binary fission. These prophages profoundly influence bacterial phenotypic and genetic diversity and contribute to the structuring of microbial communities. Here, we systematically assess the beneficial and detrimental impacts of prophage carriage in the clinical multilysogen Pseudomonas aeruginosa strain ZS-PA-05. Our results reveal marked variation in spontaneous induction frequencies among co-resident prophages and demonstrate prophage-driven phenotypic heterogeneity. By uncovering key aspects of prophage-host interactions, this study highlights the critical role of prophages in shaping the behavior of clinical isolates, particularly in the context of antimicrobial interventions such as antibiotic and phage therapies.

铜绿假单胞菌临床分离株前噬菌体诱导表型变异的系统评价。
随着抗生素耐药性的上升,铜绿假单胞菌引起的医院感染对卫生保健系统提出了重大挑战。整合到细菌染色体中的噬菌体在产生表型和基因型多样性、影响细菌致病性和使抗菌治疗策略复杂化方面发挥着关键作用。高通量测序的最新进展促进了细菌基因组中噬菌体的精确定位。然而,噬菌体影响宿主表型的机制仍然知之甚少,特别是在临床多溶原中。在本研究中,我们对临床铜绿假单胞菌(P. aeruginosa)分离物ZS-PA-05在没有外部触发的情况下预测的原噬菌体进行了全面的研究,重点研究了它们通过使用原噬菌体缺失突变体对细菌表型的贡献。我们的研究结果表明,ZS-PA-05含有活性和隐性噬菌体,每种噬菌体都具有独特的自发诱导率。值得注意的是,某些噬菌体的缺失会显著影响细菌的生长、运动、生物膜的形成、抗生素的敏感性、噬菌体的增殖以及毒力。有趣的是,尽管细菌生长受损,但原噬菌体Y的缺失显著增加了pyocyanin的产生,增强了种间竞争和细胞系存活。这强调了噬菌体-宿主相互作用的复杂性,并强调了噬菌体在细菌适应中的作用,对抗菌治疗及其他领域具有深远的影响。在感染细菌宿主后,噬菌体可以遵循两种发育途径之一:裂解周期或溶原周期。在溶原状态下,噬菌体保持休眠状态,整合到细菌基因组中,并通过二元裂变垂直传播。这些噬菌体深刻地影响着细菌的表型和遗传多样性,并有助于微生物群落的结构。在这里,我们系统地评估了在临床多溶原铜绿假单胞菌菌株ZS-PA-05中携带噬菌体的有益和有害影响。我们的研究结果揭示了共同居住的噬菌体之间自发诱导频率的显著差异,并证明了噬菌体驱动的表型异质性。通过揭示噬菌体-宿主相互作用的关键方面,本研究强调了噬菌体在塑造临床分离株行为中的关键作用,特别是在抗生素和噬菌体治疗等抗菌干预措施的背景下。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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