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Record W4409768387 · doi:10.1128/aem.00010-25

Population and pan-genomic analyses of <i>Staphylococcus pseudintermedius</i> identify geographic distinctions in accessory gene content and novel loci associated with AMR

2025· article· en· W4409768387 on OpenAlexaffabout
Jordan D. Zehr, Qi Sun, Kristina Ceres, Amy Merrill, Gregory H. Tyson, Olgica Cerić, Jake Guag, Sarah Pauley, Holly McQueary, Kelly L. Sams, Guillaume Reboul, Patrick K. Mitchell, Renee Anderson, Rebecca Franklin‐Guild, Cassandra M. Guarino, Brittany D. Cronk, Claire R. Burbick, Rebecca Wolking, Laura Peak, Yan Zhang, Rebeccah McDowall, Aparna Krishnamurthy, Ðurđa Slavić, Prabhjot Kaur Sekhon, David B. Needle, R. J. Gibson, Casey L. Cazer, Jennifer Rodriguez, Beth Harris, Michael J. Stanhope, Laura B. Goodman

Bibliographic record

VenueApplied and Environmental Microbiology · 2025
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Guelph
FundersU.S. Food and Drug AdministrationU.S. Department of Agriculture
KeywordsStaphylococcus pseudintermediusBiologyGeneticsGenomeContext (archaeology)PopulationMobile genetic elementsPathogenicity islandGenomic islandGeneAntibiotic resistanceStaphylococcusStaphylococcus aureusAntibioticsBacteria

Abstract

fetched live from OpenAlex

ABSTRACT Staphylococcus pseudintermedius is a common representative of the normal skin microbiota of dogs and cats but is also a causative agent of a variety of infections. Although primarily a canine/feline bacterium, recent studies suggest an expanded host range including humans. This paper details population genomic analyses of the largest yet assembled and sequenced collection of S. pseudintermedius isolates from across the USA and Canada and assesses these isolates within a larger global population genetic context. We then employ a pan-genome-wide association study analysis of over 1,700 S . pseudintermedius isolates from sick dogs and cats, covering the period 2017–2020, correlating loci at a genome-wide level, with in vitro susceptibility data for 23 different antibiotics. We find no evidence from either core genome phylogenies or accessory genome content for separate lineages colonizing cats or dogs. Some core genome geographic clustering was evident on a global scale, and accessory gene content was noticeably different between various regions, some of which could be linked to known antimicrobial resistance (AMR) loci for certain classes of antibiotics (e.g., aminoglycosides). Analysis of genes correlated with AMR was divided into different categories, depending on whether they were known resistance mechanisms, on a plasmid, or a putatively novel resistance mechanism on the chromosome. We discuss several novel chromosomal candidates for follow-up laboratory experimentation, including, for example, a bacteriocin (subtilosin), for which the same protein from Bacillus subtilis has been shown to be active against Staphylococcus aureus infections, and for which the operon, present in closely related Staphylococcus species, is absent in S. aureus . IMPORTANCE Staphylococcus pseudintermedius is an important causative agent of a variety of canine and feline infections, with recent studies suggesting an expanded host range, including humans. This paper presents global population genomic data and analysis of the largest set yet sequenced for this organism, covering the USA and Canada as well as more globally. It also presents analysis of in vitro antibiotic susceptibility testing results for the North American (NA) isolates, as well as genetic analysis for the global set. We conduct a pan-genome-wide association study analysis of over 1,700 S. pseudintermedius isolates from sick dogs and cats from NA to correlate loci at a genome-wide level with the in vitro susceptibility data for 23 different antibiotics. We discuss several chromosomal loci arising from this analysis for follow-up laboratory experimentation. This study should provide insight regarding the development of novel molecular treatments for an organism of both veterinary and, increasingly, human medical concern.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.265
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2025
Admission routes2
Has abstractyes

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