Biology subjects

McGann, P.

Publications and source records attributed to McGann, P..

5 recordsLinked to original sources

bioRxiv2023

Differentiation of hypervirulent and classical Klebsiella pneumoniae with acquired drug resistance

Distinguishing hypervirulent (hvKp) from classical Klebsiella pneumoniae (cKp) strains is important for clinical care, surveillance, and research. Some combination of iucA, iroB, peg-344, rmpA, and rmpA2 are most commonly used, but it is unclear what combination of genotypic or phenotypic markers (e.g. siderophore concentration, mucoviscosity) most accurately predicts the hypervirulent phenotype. Further, acquisition of antimicrobial resistance may affect virulence and confound identification. Therefore, 49 K. pneumoniae strains that possessed some combination of iucA, iroB, peg-344, rmpA, and rmpA2 and had acquired resistance were assembled and categorized as hypervirulent hvKp (hvKp) (N=16) or cKp (N=33) via a murine infection model. Biomarker number, siderophore production, mucoviscosity, virulence plasmids Mash/Jaccard distances to the canonical pLVPK, and Kleborate virulence score were measured and evaluated to accurately differentiate these pathotypes. Both stepwise logistic regression and a CART model were used to determine which variable was most predictive of the strain cohorts. The biomarker count alone was the strongest predictor for both analyses. For logistic regression the area under the curve for biomarker count was 0.962 (P = 0.004). The CART model generated the classification rule that a biomarker count = 5 would classify the strain as hvKP, resulting in a sensitivity for predicting hvKP of 94% (15/16), a specificity of 94% (31/33), and an overall accuracy of 94% (46/49). Although a count of [≥] 4 was 100% (16/16) sensitive for predicting hvKP, the specificity and accuracy decreased to 76% (25/33) and 84% (41/49) respectively. These findings can be used to inform the identification of hvKp. ImportanceHypervirulent Klebsiella pneumoniae (hvKp) is a concerning pathogen that can cause life-threatening infections in otherwise healthy individuals. Importantly, although strains of hvKp have been acquiring antimicrobial resistance, the effect on virulence is unclear. Therefore, it is of critical importance to determine whether a given antimicrobial resistant K. pneumoniae isolate is hypervirulent. This report determined which combination of genotypic and phenotypic markers could most accurately identify hvKp strains with acquired resistance. Both logistic regression and a machine-learning prediction model demonstrated that biomarker count alone was the strongest predictor. The presence of all 5 of the biomarkers iucA, iroB, peg-344, rmpA, and rmpA2 was most accurate (94%); the presence of [≥] 4 of these biomarkers was most sensitive (100%). Accurately identifying hvKp is vital for surveillance and research, and the availability of biomarker data could alert the clinician that hvKp is a consideration, which in turn would assist in optimizing patient care.

microbiology↗

bioRxiv2022

A Panel of Diverse Klebsiella pneumoniae Clinical Isolates for Research and Development

Klebsiella pneumoniae are a leading cause of healthcare associated infections worldwide. In particular, strains expressing extended-spectrum {beta}-lactamases (ESBLs) and carbapenemases pose serious treatment challenges, leading the World Health Organization (WHO) to designate ESBL and carbapenem-resistant Enterobacteriaceae (CRE) as "critical" threats to human health. Research efforts to combat these pathogens can be supported by accessibility to diverse and clinically relevant isolates for testing novel therapeutics. Here, we describe a panel of 100 diverse K. pneumoniae isolates publicly available to assist the research community in this endeavor. Whole-genome sequencing (WGS) was performed on 3,878 K. pneumoniae clinical isolates housed at the Multidrug-Resistant Organism Repository and Surveillance Network. The isolates were cultured from 63 facilities in 19 countries between 2001 and 2020. Core-genome multilocus sequence typing and high-resolution single nucleotide polymorphism based phylogenetic analyses captured the genetic diversity of the collection and were used to select the final panel of 100 isolates. In addition to known multi-drug resistant (MDR) pandemic lineages, the final panel includes hypervirulent lineages and isolates with specific and diverse resistance genes and virulence biomarkers. A broad range of antibiotic susceptibilities ranging from pan-sensitive to extensively drug resistant isolates are described. The panel collection, all associated metadata and genome sequences, are available at no additional cost and will be an important for the research community and for the design and development of novel antimicrobial agents and diagnostics against this important pathogen. ImportanceKlebsiella pneumoniae is a major cause of healthcare-associated infections that are increasingly difficult to treat due to the emergence of multi-drug resistant strains. In particular, strains expressing extended-spectrum {beta}-lactamases and carbapenemases have attained global notoriety, with the World Health Organization listing these strains as a "critical-priority" for the development of new therapeutics. Access to a diverse collection of strains for testing is critical for this endeavor, but few resources currently exist. Similarly, pivotal research of the genetic determinants underlying the pathogenesis of hypervirulent lineages is hampered by the lack of standardized, comparator strains. Herein we describe a panel of 100 diverse K. pneumoniae constructed to maximize genetic and phenotypic diversity from a repository of over 3,800 clinical isolates collected over 19 years. The panel, and all associated metadata and genome sequences, is provided at no cost and will greatly assist efforts by academic, government, and industry research groups.

microbiology↗

bioRxiv2021

TnCentral: A Prokaryotic Transposable Element Database and Web Portal for Transposon Analysis

We describe here the structure and organization of TnCentral (https://tncentral.proteininformationresource.org/). a web resource for prokaryotic transposable elements (TE). TnCentral currently contains ~400 carefully annotated TE, including transposons from the Tn3, Tn7, Tn402 and Tn554 families, compound transposons, integrons and associated insertion sequences (IS). These TE carry passenger genes, including genes conferring resistance to over 25 classes of antibiotics and nine types of heavy metal as well as genes responsible for pathogenesis in plants, toxin/antitoxin gene pairs, transcription factors and genes involved in metabolism. Each TE has its own entry page providing details about its transposition genes, passenger genes, and other sequence features required for transposition as well as a graphical map of all features. TnCentral content can be browsed and queried through text and sequence-based searches with a graphic output. We describe three use cases, which illustrate how the search interface, results tables, and entry pages can be used to explore and compare TEs. TnCentral also includes downloadable software to facilitate user-driven identification, with manual annotation, of certain types of TE in genomic sequences. Through the TnCentral homepage, users can also access TnPedia which provides comprehensive reviews of the major TE families including an extensive general section, and specialised sections with descriptions of insertion sequence and transposon families. TnCentral and TnPedia are intuitive resources that can be used by clinicians and scientists to assess TE diversity in clinical, veterinary and environmental samples. ImportanceThe ability of bacteria to undergo rapid evolution and adapt to changing environmental circumstances drives the public health crisis of multiple antibiotic resistance as well as outbreaks of disease in economically important agricultural crops and animal husbandry. Prokaryotic transposable elements (TE) play a critical role in this. Many carry "passenger genes" (not required for the transposition process) conferring resistance to antibiotics or heavy metals or causing disease in plants and animals. Passenger genes are spread by the normal TE transposition activities, by insertion into plasmids which then spread via conjugation within and across bacterial populations. Thus, an understanding of TE composition and transposition mechanisms is key to developing strategies to combat bacterial pathogenesis. Toward this end, we have developed TnCentral, a bioinformatics resource dedicated to describing and exploring the structural and functional features of prokaryotic TE and whose use is intuitive and accessible to users with or without bioinformatics expertise.

genomics↗

bioRxiv2021

A Panel of Diverse Pseudomonas aeruginosa Clinical Isolates for Research and Development

Pseudomonas aeruginosa is a leading cause of community-acquired and hospital-acquired infections. Successful treatment is hampered by its remarkable ability to rapidly develop resistance to antimicrobial agents, mostly through mutation. In response, the World Health Organization listed carbapenem-resistant P. aeruginosa as a Priority 1 (Critical) pathogen for research and development of new treatments. A key resource in developing effective countermeasures is access to diverse and clinically relevant strains for testing. Herein we describe a panel of 100 diverse P. aeruginosa strains to support this endeavor. Whole genome sequencing was performed on 3,785 P. aeruginosa housed in our repository. Isolates were cultured from clinical samples collected from healthcare facilities around the world between 2003 and 2017. Core-genome multi-locus sequence typing and high-resolution SNP-based phylogenetic analyses were used to select a panel of 100 strains that captured the genetic diversity of this collection. Comprehensive antibiotic susceptibility testing was also performed using 14 clinically relevant antibiotics. This 100-strain diversity panel contained representative strains from 91 different sequence-types, including genetically distinct isolates from major epidemic clones ST-111, ST-235, ST-244, and ST-253. Seventy-one distinct antibiotic susceptibility profiles were identified ranging from pan-sensitive to pan-resistant. Known resistance alleles as well as the most prevalent mutations underlying the antibiotic susceptibilities were characterized for all isolates. This panel provides a diverse and comprehensive set of P. aeruginosa strains for use in developing solutions to antibiotic resistance. The isolates, and all available meta-data including genome sequences, are available to industry, academic institutions, federal and other laboratories at no additional cost. ImportancePseudomonas aeruginosa is one of the most important human pathogens and a leading target in the development of new drugs and therapeutics. This species displays a remarkable level of diversity and any potential therapeutic must contend with this characteristic to ensure it retains efficacy across different strains. To date, only limited panels of P. aeruginosa are available for testing, and none have been designed to capture the genetic diversity of the species. The panel described herein has been designed to address this shortcoming by providing a set of 100 distinct strains that greatly captures the diversity of the species. This panel will be of significant value to research groups working on this important pathogen, both for research purposes and in the development of new diagnostics and countermeasures.

microbiology↗

bioRxiv2018

Chromosomally Encoded mcr-5 in Colistin Non-susceptible Pseudomonas aeruginosa

Whole genome sequencing (WGS) of historical Pseudomonas aeruginosa clinical isolates identified a chromosomal copy of mcr-5 within a Tn3-like transposon in P. aeruginosa MRSN 12280. The isolate was non-susceptible to colistin by broth microdilution and genome analysis revealed no mutations known to confer colistin resistance. To the best of our knowledge this is the first report of mcr in colistin non-susceptible P. aeruginosa.

microbiology↗