Identification of an R1-type pyocin previously misannotated as a prophage in Pseudomonas aeruginosa ATCC 27853
Rayhaan Gerard Pais1, Mathias Müsken2, Belinda Loh1
1Department of Infection Research and Diagnostics, Fraunhofer Institute for Cell Therapy & Immunology (IZI), Perlickstr. 1, Leipzig, 04103, Germany.
Abstract:
While Pseudomonas aeruginosa ATCC 27853 is a widely used reference strain with previously characterized prophage regions, our use of one of the latest prophage prediction tools, PHASTEST, helped reveal a critical misclassification in its genome. Using this tool, we initially identified six prophage regions, with four classified as intact; however, in-depth analysis demonstrated that one of these predicted intact prophages was, in fact, a functional pyocin-encoding region. Specifically, the region spanning 679,586-698,056 bp, initially annotated as an intact prophage, was definitively re-identified as a region harbouring an R1-type pyocin. The most recent literature regarding prophages in P. aeruginosa ATCC 27853 classifies the region spanning 683,173-696,044 bp as a prophage. This region falls entirely within the genomic region we describe and reclassify, further emphasizing the importance of the reclassification performed in this study. The identified R1-type pyocin was induced using mitomycin C, processed via tangential flow filtration, and its bactericidal activity was confirmed against a clinical P. aeruginosa isolate via spot-test killing assays and absorbance-based assays. Transmission electron microscopy revealed R-type pyocin particles averaging 133 nm in length. This misidentification of a pyocin as a prophage critically underscores the inherent limitations of current bioinformatic tools in accurately distinguishing between these distinct phage-derived elements, thereby highlighting the urgent need for more refined annotation methodologies. Accurate identification of such elements is essential, as they may influence experimental outcomes and provide new insights into bacterial defence mechanisms.
Insights
A study reclassified a Pseudomonas aeruginosa ATCC 27853 genomic region, initially identified as a prophage, as a functional R1-type pyocin. This finding highlights limitations in bioinformatics tools for distinguishing phage-derived elements.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
Background:
- Pseudomonas aeruginosa ATCC 27853 is a standard reference strain.
- Previous genomic annotations identified prophage regions in this strain.
- Bioinformatic tools are crucial for genomic analysis.
Purpose of the Study:
- To re-evaluate the genomic annotation of Pseudomonas aeruginosa ATCC 27853.
- To accurately distinguish between prophages and pyocins using advanced tools.
- To investigate the functional characteristics of a misclassified genomic region.
Main Methods:
- Utilized the PHASTEST prophage prediction tool for genomic analysis.
- Performed in-depth bioinformatic analysis to re-identify genomic regions.
- Induced pyocin expression using mitomycin C.
- Characterized pyocin particles using transmission electron microscopy.
- Assessed bactericidal activity through spot-test and absorbance assays.
Main Results:
- A genomic region (679,586-698,056 bp) in P. aeruginosa ATCC 27853, previously annotated as an intact prophage, was reclassified as an R1-type pyocin-encoding region.
- The R1-type pyocin was successfully induced and demonstrated bactericidal activity against a clinical P. aeruginosa isolate.
- Transmission electron microscopy confirmed the presence of R-type pyocin particles.
Conclusions:
- Current bioinformatics tools have limitations in accurately differentiating prophages from pyocins.
- Refined annotation methodologies are necessary for precise genomic analysis of phage-derived elements.
- Accurate identification of prophages and pyocins is critical for understanding bacterial defense mechanisms and experimental outcomes.
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