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Identification of plasmids in a Salmonella Typhimurium septicemic isolate without the classical 95 kb virulence plasmid

2011· article· en· W801274779 on OpenAlexaff
Nadia Bergeron, France Daigle, Ann Letellier, Sylvain Quessy

Bibliographic record

VenueInternational Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPlasmidVirulenceSalmonellaMicrobiologyBiologyEnterobacteriaceaeIdentification (biology)BacteriaGeneticsGeneEscherichia coli

Abstract

fetched live from OpenAlex

In this study, we report the characterization of plasmids from a Salmonella Typhimurium strain isolated from a septicemic pig.This isolate did not possess the classical 95 kb plasmid associated with virulence, but contained several low molecular weight plasmids.This isolate was as well one of the most invasive in intestinal epithelial cell lines (58.34 ± 7.32%) and showed no acquire resistance to tested antimicrobial agents.We therefore sequenced these plasmids.The size of the first plasmid, pST36-4-b5, was 3.6 kb and the size of pST36-1-b6, the second one, was 4.9 kb.They contained some open reading frames (ORF) that carry some genetic information for replication and mobilization.These plasmids contained also information for enzymatic functions and some hypothetical proteins also found in various bacterial species.Finally, a third plasmid has been partially characterized.The size of this plasmid is higher than the two other plasmids.These plasmids contained several genes of unknown function that will need to be further studied for their putative role in virulence.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.286
Teacher spread0.221 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueInternational Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork→Same topicSalmonella and Campylobacter epidemiology→French-language works237,207→