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Phage predation is generally assumed to reduce microbial proliferation while not contributing to the spread of antibiotic resistance. However, this assumption does not consider the effect of phage predation on the spatial organization of different microbial populations. Here, we show that phage predation can increase the spread of plasmid-encoded antibiotic resistance during surface-associated microbial growth by reshaping spatial organization. Using two strains of the bacterium Escherichia coli, we demonstrate that phage predation slows the spatial segregation of the strains during growth. This increases the number of cell-cell contacts and the extent of conjugation-mediated plasmid transfer between them. The underlying mechanism is that phage predation shifts the location of fastest growth from the biomass periphery to the interior where cells are densely packed and aligned closer to parallel with each other. This creates straighter interfaces between the strains that are less likely to merge together during growth, consequently slowing the spatial segregation of the strains and enhancing plasmid transfer between them. Our results have implications for the design and application of phage therapy and reveal a mechanism for how microbial functions that are deleterious to human and environmental health can proliferate in the absence of positive selection.
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http://dx.doi.org/10.1038/s41467-024-49840-7 | DOI Listing |
Front Microbiol
August 2025
Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Germany.
Introduction: Antimicrobial resistance (AMR) is a critical global health issue caused by antibiotic overuse, leading to the rise of multi-resistant pathogens such as in bacteria of the ESKAPE group. Alternative or combination therapies, including bacteriophages and plaque-forming predatory bacteria, are being explored in response. , a Gram-negative bacterial predator belonging to the and like organisms (BALOs), can kill other Gram-negative bacteria after the periplasmic invasion, including multidrug-resistant pathogens.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
September 2025
Department of Biosciences, Durham University, Durham DH1 3LE, UK.
Bacteriophages (phages), viral predators of bacteria, generate selection pressure that causes bacteria to evolve defence systems. Type I, II and III restriction enzymes cleave incoming non-modified phage DNAs. Phages have evolved to defend against these restriction systems by modifying their DNA so that they are no longer suitable substrates.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
September 2025
Department of Genetics and Genomics, Pasteur Institute, 75015 Paris, France.
While it is well established that bacterial genomes encode multiple and diverse antiphage systems, the reasons for their co-occurrence and their heterogeneous distribution remain debated. This review examines why bacteria accumulate antiphage systems and how this influences phage-bacteria interactions, particularly in the context of phage therapy. Two main hypotheses may explain this phenomenon: (i) the pan-immunity hypothesis, which suggests that defence system accumulation provides protection against phage predation at the community level, and (ii) mobile genetic element (MGE) competition, where defence systems primarily protect intra-bacterial MGEs against other ones rather than the bacterial host itself.
View Article and Find Full Text PDFNAR Genom Bioinform
September 2025
Department of Biotechnology, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India.
DZ2, a model myxobacterium, has three reported genome assemblies, including two recent complete assemblies (MxDZ2_Tam and MxDZ2_Nan) from the same culture stock. These assemblies misreported their circular nature and differed by 6.4 kb, raising questions about their accuracy.
View Article and Find Full Text PDFMicroorganisms
August 2025
Microbial Pathogen and Anti-Infection Research Group, School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471003, China.
The escalating global threat of antimicrobial resistance (AMR) underscores the urgent need for innovative therapeutics. Bacteriophages (phages), natural bacterial predators, offer promising solutions, especially when harnessed through advances in artificial intelligence (AI). This review explores how AI-driven innovations are transforming phage biology, with an emphasis on three pivotal areas: (1) AI-enhanced structural prediction (e.
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