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Record W2607879118 · doi:10.14288/1.0343648

Characterization of virulence profiles and antimicrobial resistance patterns of clinical and environmental Vibrio parahaemolyticus isolated in Canada

2017· article· en· W2607879118 on OpenAlexaboutno aff
Jennifer Liu

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
Fundersnot available
KeywordsVibrio parahaemolyticusVirulenceMicrobiologyAntibiotic resistanceBiologyAntimicrobialVibrionaceaeAntibioticsBacteriaGeneGenetics

Abstract

fetched live from OpenAlex

Vibrio parahaemolyticus is a naturally occurring marine organism with a worldwide distribution in estuaries and coastal environments. Consequently, V. parahaemolyticus bio-accumulates in the gut of filter-feeding molluscan shellfish (e.g. oysters) and is a common cause of seafood associated gastroenteritis. Recent data show increased rates of V. parahaemolyticus infection in Canada, particularly British Columbia (BCCDC, 2015; PHAC, 2014). To further improve our understanding of the types of V. parahaemolyticus strains that exist in the Canadian (primarily British Columbia) environment and facilitate assessment of risk to public health, virulence profiles and antimicrobial resistance (AMR) patterns were determined for 600 isolates collected between 1998 and 2011. Clinical isolates (n=64) and environmental strains (n=536) cultured from oysters collected from Canadian growing areas were analyzed in this study. A multiplex PCR assay was used to confirm all isolates as V. parahaemolyticus and characterize virulence gene profiles (tdh and trh). AMR phenotypes were determined by a disc diffusion assay using a panel of 20 clinically relevant antibiotics. Further sub-typing using multi-locus sequence typing (MLST) was conducted on a subset (clinical, n=31; environmental, n=135) of isolates. Results showed 53% of clinical and 8% of environmental isolates possess at least one of the virulence markers. Overall levels of AMR were low, with 7% of isolates exhibiting pansusceptibility and 0.5% displaying resistance to 4 antibiotics. Ampicillin resistance was widespread (91%) with resistance to cephalothin (29%), streptomycin (4.3%), sulfisoxazole (2.7%), piperacillin (2.3%), oxolinic acid (0.5%), ceftiofur (0.4%), gentamicin (0.2%), and kanamycin (0.2%) also seen. MLST analysis showed the V. parahaemolyticus population structure is genetically diverse with 36 novel sequence types (STs) identified, all recovered from environmental isolates. In comparison, a smaller number of STs appear to be responsible for illnesses in British Columbia. Generally, findings from this research provide evidence that differences in virulence, AMR, and STs exist among clinically and environmentally derived V. parahaemolyticus. Future investigations using more discriminatory analyses, such as whole genome sequencing, may elucidate other factors and/or predictors of V. parahaemolyticus virulence as well as mechanisms mediating antibiotic resistance; this may facilitate studies attempting to understand the interplay between virulence and AMR.

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)0.002
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 score0.053
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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