The repertoire of resistance mutations selected by a <i>Pseudomonas aeruginosa</i> type IV pilus-targeting lytic bacteriophage
Bibliographic record
Abstract
ABSTRACT P. aeruginosa type IV pili (T4P) are complex surface-exposed nanomachines used for twitching motility and biofilm formation. Exposure to bacteriophages that use T4P as their primary receptor can select for resistance mutations that reduce or abolish pilus expression. Since T4P are important virulence factors, such loss can affect pathogenicity and fitness, desirable outcomes for phage therapy. Here, we evaluated the repertoire of mutations in P. aeruginosa PAO1 exposed to the pilus-specific lytic phage PO4 and their ability to revert after removal of phage. Resistant isolates ranged from hyperpiliated to bald, but none retained twitching motility. We focused on isolates that still expressed surface pili, including one with an internal 4-amino acid duplication in the essential prepilin peptidase/methyltransferase, PilD. This duplication, distal to the predicted active sites, delayed prepilin processing. Accumulation of unprocessed subunits suppressed expression of new prepilins via inhibition of PilSR two-component system activity, restricting availability of functional subunits and conferring phage resistance. Introduction of a PilS point mutation that makes cells insensitive to accumulation of unprocessed pilins restored motility and phage susceptibility. Of the mutants tested, only those with a duplication in pilD recovered wild-type motility following removal of phage pressure, likely through slip-strand mispairing as a codon-modified variant did not revert. This work shows that resistance to pilus-specific phages does not require loss of pilus expression, and certain mutations can allow bacteria to regain pilus function. Characterizing spontaeous mutations selected by phages can help to define the function and vulnerabilities of the type IV pilus system. SIGNIFICANCE As use of phages to treat antibiotic-resistant pathogens such as Pseudomonas aeruginosa increases, it is important to understand potential outcomes of phage exposure. Most therapeutic P. aeruginosa phages use lipopolysaccharides (LPS) or T4P as primary receptors. Studying the properties of strains resistant to T4P-targeting phages can guide the design of phage cocktails to mitigate treatment resistance. We show that depending on the mutation, some phage-resistant strains can revert to wild-type sequences, emphasizing the importance of combining diverse phages to supress resurgence. By characterizing mutations that confer resistance, we can better understand whether pilus structural or regulatory components are more likely to be lost. Using phages to select for loss of pilus function represents an unbiased approach to identify new mutations in pilus-related proteins, shedding light on understudied components. Building a database of such mutations will help guide strategies to target and disarm this key P. aeruginosa virulence factor.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".