High prevalence of lipopolysaccharide mutants and R2-Pyocin susceptible variants in Pseudomonas aeruginosa populations sourced from cystic fibrosis lung infections

Chronic, highly antibiotic-resistant infections in cystic fibrosis (CF) lungs contribute to increasing morbidity and mortality. Pseudomonas aeruginosa, a common CF pathogen, exhibits resistance to multiple antibiotics, contributing to antimicrobial resistance (AMR). These bacterial populations display genetic and phenotypic diversity, but it is unclear how this diversity affects susceptibility to bacteriocins. R-pyocins, i.e. bacteriocins produced by P. aeruginosa, are phage-tail-like antimicrobials. R-pyocins have potential as antimicrobials, however, recent research suggests the diversity of P. aeruginosa variants within CF lung infections leads to varying susceptibility to R-pyocins. This variation may be linked to changes in lipopolysaccharide (LPS), acting as the R-pyocin receptor. Currently, it is unknown how frequently R-pyocin-susceptible strains are in chronic CF lung infection, particularly when considering the heterogeneity within these strains. In this study, we tested R2-py..., , , # High prevalence of lipopolysaccharide mutants and R2-Pyocin susceptible variants in *Pseudomonas aeruginosa* populations sourced from cystic fibrosis lung infections

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Dataset includes biological replicate measurements of R-pyocin susceptibility data, and raw images of SDS-page gels used in scoring lipopolysaccharide phenotype profiles for each variant.

## Description of the data and file structure

An Excel spreadsheet titled \"Dryad\_raw\_data.xlsx\" includes a list of bacterial strains and variants used with biological replicates of susceptibility data.

Column headers within the file \"Dryad\_raw\_data.xlsx\" include:
**PATIENT**

* Numerical assignments for each patient, to further de-identify samples

**Longitudinal Collection**

* A number corresponding to the sequential collection of a population of bacterial from the same patient, at a different timepoint

**Isolate ID**

* Randomized 3-digit number corresponding to each patient (ie Patient 1 samples are bacterial population...