Biology subjects

Squires, K. M.

Publications and source records attributed to Squires, K. M..

4 recordsLinked to original sources

bioRxiv2026

Diverse transcriptomic effects of evolved imipenem-relebactam resistance in Pseudomonas aeruginosa

Imipenem-relebactam (Imi/Rel) is a {beta}-lactam/{beta}-lactamase inhibitor combination used for the treatment of multidrug-resistant Pseudomonas aeruginosa infections. We previously reported that treatment-emergent resistance to Imi/Rel is associated with mutations in the AmpC beta-lactamase and/or the MexAB-OprM and MexEF-OprN efflux operons. However, the impact of these mutations on bacterial gene expression has not been explored extensively, particularly among P. aeruginosa from patients treated with Imi/Rel. To determine the effect of treatment-emergent Imi/Rel resistance on P. aeruginosa global transcription, we performed RNA sequencing on paired P. aeruginosa clinical isolates from six patients collected before and after Imi/Rel treatment. Transcriptional responses varied substantially, with no conserved changes in gene expression identified across all six patients. Three isolate pairs showed significant upregulation of previously characterized Imi/Rel resistance-associated genes in the treatment-emergent resistant isolate, while two resistant isolates displayed significant downregulation of ampC. Comparisons of the top 10 differentially regulated genes in the resistant isolate from each patient revealed only one gene that was shared between all six patients. Pathway enrichment analysis using Clusters of Orthologous Genes (COG) categories suggested that Imi/Rel exposure impacts transcription of genes involved in translation and metabolism, but these changes are highly variable between patients and isolates. Overall, we find that the transcriptional response of clinical P. aeruginosa to Imi/Rel exposure appears to be highly diverse and likely dependent on the genetic background of the infecting P. aeruginosa strain.

microbiology↗

bioRxiv2026

Variable phage susceptibility of Pseudomonas aeruginosa from patients with and without cystic fibrosis following treatment-emergent resistance to ceftolozane-tazobactam

Background: Pseudomonas aeruginosa is a ubiquitous opportunistic bacterial pathogen associated with nosocomial infections and is a leading cause of infection in persons with cystic fibrosis (pwCF). The front-line treatment for multidrug-resistant P. aeruginosa infections is ceftolozane-tazobactam (C/T). While previous research has characterized clinical P. aeruginosa isolates that evolved resistance to C/T, the collateral effect of evolved resistance on susceptibility to bacteriophages has not been explored. Methods: We collected paired P. aeruginosa clinical isolates from 10 pwCF and 18 non-pwCF who developed treatment-emergent C/T resistance. We compared genetic relatedness, acute and chronic virulence phenotypes, and antibiotic and phage susceptibilities between each pair of susceptible baseline and treatment-emergent C/T-resistant isolates. Results: Treatment-emergent C/T-resistant isolates were genetically closely related to baseline isolates in all patients. Virulence phenotypes did not differ between pre- and post-C/T exposure isolates, but isolates from pwCF demonstrated differences in protease production, twitching motility, and amino acid auxotrophy compared to isolates from non-pwCF. Treatment-emergent C/T resistance was associated with increased resistance to ceftazidime and ceftazidime/avibactam, but no other trends in antibiotic or phage susceptibility were detected. Conclusions: Treatment-emergent resistance to C/T does not cause predictable alterations in phage susceptibility across genotypically and phenotypically diverse multidrug-resistant P. aeruginosa clinical isolates.

microbiology↗

bioRxiv2025

Within-Patient Evolution of Pseudomonas aeruginosa Populations During Antimicrobial Treatment

Multidrug-resistant (MDR) Pseudomonas aeruginosa infections pose a major challenge to effective treatment. Understanding genomic adaptations during antimicrobial therapy in patients infected with this pathogen is crucial for preventing therapeutic failure. Here we investigated the population diversity and evolution of P. aeruginosa collected longitudinally from six patients who evolved multidrug-resistant infections. Serial P. aeruginosa clinical isolates (n=63) and culture-enriched metagenomic population samples (n=39) were collected and subjected to whole-genome sequencing. The resulting data were used to characterize and compare the species composition, multi-locus sequence types (STs), and resistance-associated mutations present within each sample type. Single-isolate sequencing showed that each patient was infected with a single P. aeruginosa strain that accumulated mutations and became increasingly more resistant over time. Mutations in genes associated with beta-lactam resistance, including ampC, ftsI, and mexR, arose over time and corresponded with changes in antimicrobial susceptibility in single isolates. Species profiling of culture-enriched metagenomic populations revealed that all samples contained P. aeruginosa, but also additional Gram-negative pathogens. Metagenomic analysis of culture-enriched populations identified resistance-associated mutations at low frequency, many of which were not identified in single isolates from the same sample. In some cases, resistance-associated mutations initially detected at low frequency rose to fixation after antimicrobial treatment. Overall, this study shows that population-based metagenomic sequencing effectively captures within-patient genomic diversity of P. aeruginosa during antimicrobial therapy, and could aid the detection and interpretation of resistance-associated mutations in this pathogen. ImportancePseudomonas aeruginosa infections are notoriously difficult to treat and are associated with high rates of morbidity and mortality. While the genetic basis of resistance in P. aeruginosa is well documented in vitro, less is known about how resistance evolves within patients during antibiotic therapy. Standard approaches based on analysis of clonal isolates may miss within-patient diversity, potentially overlooking low-frequency mutations that contribute to treatment failure. In this study, we integrated single-colony whole-genome sequencing with culture-enriched metagenomic sequencing to monitor the evolution of P. aeruginosa populations in patients receiving antibiotic therapy. This approach enabled the detection of emerging resistance mutations, such as low-frequency variants in ampC and ftsI, before these variants rose to fixation. It also revealed genetically resistant subpopulations missed by isolate sequencing alone. Together, our findings highlight the value of population-based metagenomic sequencing in capturing bacterial adaptation during infection, and underscore its potential to improve resistance surveillance and guide personalized antimicrobial therapy.

evolutionary biology↗

bioRxiv2022

Within-host genotypic and phenotypic diversity of contemporaneous carbapenem-resistant Klebsiella pneumoniae from blood cultures of patients with bacteremia

Carbapenem-resistant Klebsiella pneumoniae (CRKP) are major pathogens globally. It is unknown whether bloodstream infections (BSIs) by CRKP and other bacteria are commonly caused by single organisms or mixed microbial populations. We hypothesized that contemporaneous CRKP from blood cultures of individual patients are genetically and phenotypically distinct. We determined short-read whole genome sequences of 10 strains from single colonies from CRKP-positive blood cultures in each of 6 patients (Illumina HiSeq). All strains were sequence type (ST)-258 K. pneumoniae that were unique by core genome single nucleotide polymorphism phylogeny, antibiotic resistance and virulence genes, capsular polysaccharide (CPS) gene mutations, and/or plasmid loss. Strains from each of 3 patients that differed in antibiotic resistance, virulence and/or CPS gene content underwent long-read sequencing for genome completion (Oxford Nanopore), and were tested for phenotypes in vitro and pathogenicity during mouse BSIs. Genetically distinct strains within individual patients exhibited significant differences in carbapenem, beta-lactam/beta-lactamase inhibitor and other antibiotic responses, CPS production, mucoviscosity, and susceptibility to serum killing. In 2 patients, strains differed significantly in their ability to infect organs and cause mortality in mice. In conclusion, we identified genotypic and phenotypic variant ST258 K. pneumoniae strains from blood cultures of individual patients, which were not detected by the clinical laboratory at time of BSI diagnosis. The data support a new paradigm of CRKP population diversity during BSIs. If validated for other BSIs, within-host bacterial diversity may have profound implications for medical, microbiology laboratory and infection prevention practices, and for understanding emergence of antibiotic resistance and pathogenesis. IMPORTANCEIn processing positive microbiologic cultures, standard clinical laboratory practice is to test a single bacterial strain from each morphologically distinct colony. We performed comprehensive whole genome sequence analyses on 10 carbapenem-resistant Klebsiella pneumoniae (CRKP) strains from positive blood cultures from each of 6 patients. Our findings that all strains were genetically unique and that genetic variants manifested differences in phenotypes like antibiotic responsiveness and virulence suggest that CRKP bloodstream infections may be commonly caused by mixed bacterial populations. Results raise questions about laboratory protocols and treatment decisions that are directed against a single strain. The observation that pan-genome analyses revealed inter-strain differences that were not evident by studying core genomes has important implications for investigating nosocomial outbreaks and transmission. Data also suggest a model of pathogenesis of CRKP infections, in which environmental pressures in vivo may select for outgrowth of variants that manifest antibiotic resistance, tolerance or specific virulence attributes.

microbiology↗