Characterization and Engineering Studies of a New Endolysin from the Propionibacterium acnes Bacteriophage PAC1 for the Development of a Broad-Spectrum Artilysin with Altered Specificity.
Christina VarotsouGeorgios E PremetisNikolaos N LabrouPublished in: International journal of molecular sciences (2023)
The emergence of multidrug-resistant (MDR) bacteria has risen rapidly, leading to a great threat to global public health. A promising solution to this problem is the exploitation of phage endolysins. In the present study, a putative N-acetylmuramoyl-L-alanine type-2 amidase (NALAA-2, EC 3.5.1.28) from Propionibacterium bacteriophage PAC1 was characterized. The enzyme ( Pa Ami1) was cloned into a T7 expression vector and expressed in E. coli BL21 cells. Kinetics analysis using turbidity reduction assays allowed the determination of the optimal conditions for lytic activity against a range of Gram-positive and negative human pathogens. The peptidoglycan degradation activity of Pa Ami1 was confirmed using isolated peptidoglycan from P. acnes . The antibacterial activity of Pa Ami1 was investigated using live P. acnes cells growing on agar plates. Two engineered variants of Pa Ami1 were designed by fusion to its N-terminus two short antimicrobial peptides (AMPs). One AMP was selected by searching the genomes of Propionibacterium bacteriophages using bioinformatics tools, whereas the other AMP sequence was selected from the antimicrobial peptide databases. Both engineered variants exhibited improved lytic activity towards P. acnes and the enterococci species Enterococcus faecalis and Enterococcus faecium . The results of the present study suggest that Pa Ami1 is a new antimicrobial agent and provide proof of concept that bacteriophage genomes are a rich source of AMP sequences that can be further exploited for designing novel or improved endolysins.
Keyphrases
- acute myocardial infarction
- multidrug resistant
- public health
- induced apoptosis
- gram negative
- protein kinase
- cell cycle arrest
- endothelial cells
- percutaneous coronary intervention
- poor prognosis
- escherichia coli
- staphylococcus aureus
- signaling pathway
- pseudomonas aeruginosa
- copy number
- machine learning
- heart failure
- cell wall
- biofilm formation
- dna methylation
- high throughput
- tandem mass spectrometry
- mass spectrometry
- left ventricular
- antimicrobial resistance
- long non coding rna
- deep learning
- single cell