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Summary: C‐di‐GMP is a key signalling molecule which impacts bacterial motility and biofilm formation and is formed by the condensation of two GTP molecules by a diguanylate cyclase. We here describe the identification and characterization of a family of bacteriophage‐encoded peptides that directly impact c‐di‐GMP signalling in Pseudomonas aeruginosa. These phage proteins target Pseudomonas diguanylate cyclase YfiN by direct protein interaction (termed YIPs, YfiN Interacting Peptides). YIPs induce an increase of c‐di‐GMP production in the host cell, resulting in a decrease in motility and an increase in biofilm mass in P. aeruginosa. A dynamic analysis of the biofilm morphology indicates a denser biofilm structure after induction of the phage protein. This intracellular signalling interference strategy by a lytic phage constitutes an unexplored phage‐based mechanism of metabolic regulation and could potentially serve as inspiration for the development of molecules that interfere with biofilm formation in P. aeruginosa and other pathogens. [ABSTRACT FROM AUTHOR]

Bacteria employ a myriad of regulatory mechanisms to adapt to the continuously changing environments that they face. They can, for example, use post-translational modifications, such as Nε-lysine acetylation, to alter enzyme activity. Although a lot of progress has been made, the extent and role of lysine acetylation in many bacterial strains remains uncharted. Here, we applied stable isotope labeling by amino acids in cell culture (SILAC) in combination with the immunoprecipitation of acetylated peptides and LC-MS/MS to measure the first Pseudomonas aeruginosa PAO1 acetylome, revealing 1076 unique acetylation sites in 508 proteins. Next, we assessed interstrain acetylome differences within P. aeruginosa by comparing our PAO1 acetylome with two publicly available PA14 acetylomes, and postulate that the overall acetylation patterns are not driven by strain-specific factors. In addition, the comparison of the P. aeruginosa acetylome to 30 other bacterial acetylomes revealed that a high percentage of transcription related proteins are acetylated in the majority of bacterial species. This conservation could help prioritize the characterization of functional consequences of individual acetylation sites., Competing Interests: None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of FEMS.)

The vast number of unknown phage-encoded ORFan genes and limited insights into the genome organization of phages illustrate the need for efficient genome engineering tools to study bacteriophage genes in their natural context. In addition, there is an application-driven desire to alter phage properties, which is hampered by time constraints for phage genome engineering in the bacterial host. We here describe an optimized CRISPR-Cas3 system in Pseudomonas for straightforward editing of the genome of virulent bacteriophages. The two-vector system combines a broad host range CRISPR-Cas3 targeting plasmid with a SEVA plasmid for homologous directed repair, which enables the creation of clean deletions, insertions, or substitutions in the phage genome within a week. After creating the two plasmids separately, a co-transformation to P. aeruginosa cells is performed. A subsequent infection with the targeted phage allows the CRISPR-Cas3 system to cut the DNA specifically and facilitate or select for homologous recombination. This system has also been successfully applied for P. aeruginosa and Pseudomonas putida genome engineering. The method is straightforward, efficient, and universal, enabling to extrapolate the system to other phage-host pairs., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

After injecting their genome into the bacterial host cell, bacteriophages need to convert the host metabolism toward efficient phage production. For this, specific proteins have evolved which interact with key host proteins to inhibit, activate or redirect the function of these proteins. Since 70% of the currently annotated phage genes are hypothetical proteins of unknown function, the identification and characterization of these phage proteins involved in host-phage protein-protein interactions remains challenging. Here, we describe a method to identify phage proteins involved in host-phage protein-protein interactions using a combination of affinity purifications and mass spectrometry analyses. A bacterial strain is engineered in which a bacterial target protein is fused to a Strep-tag ® II at the C-terminal end. This strain is infected with a specific bacteriophage, followed by an affinity purification of the tagged protein which allows the copurification of all bacterial and phage specific interacting proteins. After SDS-PAGE analysis and an in-gel trypsin digestion, the purified interacting proteins are identified by mass spectrometry analysis. The identification of phage proteins involved in interactions provides first hints toward the elucidation of the biological function of these proteins.

Like all viruses, bacteriophages heavily depend on their host's physiology for reproduction. Therefore, phages have evolved numerous proteins that influence the host metabolism to facilitate the infection process. Some of these proteins strongly perturb the host cell, ultimately leading to cell death. These growth-inhibitory phage proteins presumably target key metabolic processes, which may provide a basis for innovative phage-derived antibacterials. Unfortunately, most of these proteins are the so-called ORFans, since they have no known function or sequence homology to any other gene. We here describe a screening method for the identification of growth-inhibitory ORFans of bacteriophages infecting gram-negative bacteria (e.g., Pseudomonas aeruginosa), using the pUC18-mini-Tn7T-Lac vector system, which allows for stable single-copy integration of the phage ORFans in the Pseudomonas genome under the control of an IPTG-inducible promoter. Furthermore, we describe a method to examine the effect of the phage proteins in different hosts, using different vector copy numbers. Finally, we explain how to investigate the effect of ORFan expression on the host morphology using time-lapse microscopy.