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Record W7117533859 · doi:10.1128/spectrum.02437-25

Profiling of <i>Burkholderia pseudomallei</i> variants derived from Queensland’s clinical isolates

2025· article· en· W7117533859 on OpenAlexaff
Pauline M. L. Coulon, Kay A. Ramsay, Aven Lee, Edita Ritmejerytė, Miranda E. Pitt, Joyce To, Daniel G. Mediati, Ian Gassiep, Sarah Reed, Patrick N. A. Harris, Garry S. A. Myers

Bibliographic record

VenueMicrobiology Spectrum · 2025
Typearticle
Languageen
FieldMedicine
TopicBurkholderia infections and melioidosis
Canadian institutionsIONICS Mass Spectrometry (Canada)
Fundersnot available
KeywordsPhenotypeVirulenceProteomicsAdaptation (eye)ProteaseGenetic variationContext (archaeology)DNA microarrayPhase variation

Abstract

fetched live from OpenAlex

ABSTRACT Burkholderia pseudomallei ( Bp ), an environmental bacterium and opportunistic pathogen endemic to tropical regions, is highly adaptive and thrives in diverse environments, from soil to human hosts. Bacterial adaptation is critical for survival, virulence modulation, and persistence during infection and can manifest as colony morphotype variation (CMV). Although Bp adaptation has been studied, CMV remains poorly understood. Here, we characterized five clinical Bp isolates exhibiting heterogeneous populations with rough and smooth colony morphologies. We used phenotypic assays, whole-genome sequencing, and proteomics to investigate the molecular pathways reflecting CMV, by comparing smooth and rough morphotypes. Although phenotypic differences in protease activity, hemolysis, mucoidy, iron uptake, and antibiotic sensitivity—including to antimicrobial agents commonly used to treat infections—were rare, these traits alone could not distinguish morphotypes or groups of isolates. Genomic comparisons revealed either no differences or limited isolate-specific mutations, which do not explain the overall difference in phenotypes. In contrast, proteomic analysis uncovered consistent shifts in protein abundance related to virulence, including quorum sensing, DNA methylation, and secretion systems. Rough variants showed higher abundance of EPS-associated proteins, the BpsI3/R3 quorum-sensing system, and the global regulator ScmR, whereas smooth variants displayed higher abundances of proteins belonging to type III/VI secretion and siderophore biosynthesis pathways. These findings suggest that CMV is driven by phase variation and regulatory mechanisms rather than punctual genomic modifications. Our study underscores the limitations of phenotype or genome-based classification alone in the context of CMV and highlights the value of integrated multi-omics approaches to uncover CMV-associated biomarkers, with potential applications in diagnostics and the development of targeted therapies against persistent and drug-resistant Bp infections. IMPORTANCE Burkholderia pseudomallei ( Bp ), the causative agent of melioidosis, is endemic to Australia, Asia, Africa, and the Americas. It predominantly affects Indigenous populations and individuals suffering from diabetes, chronic lung or kidney disease, or alcoholism. Bp is known for its exceptional genomic and phenotypic plasticity, enabling rapid adaptation to diverse environments. This adaptability is reflected by colony morphotype variation (CMV), including reversible phase variation between smooth and rough colonies. In this study, we report rough and smooth colonies from clinical samples and emphasize the importance of characterizing CMV through multi-omics approaches rather than relying solely on genomics and phenotypic traits. By integrating genomic, phenotypic, and proteomic data, we identified that a limited number of mutations, including one in a putative regulatory element, likely drive major molecular changes between morphotypes. These affect the expression of quorum-sensing systems, the transcriptional regulator ScmR, DNA methyltransferase, and virulence-associated genes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.295
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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