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Record W2765531693 · doi:10.1093/femspd/ftx116

In vitro attenuation of a virulent swine isolate of Brachyspira hampsonii

2017· article· en· W2765531693 on OpenAlexaff
Jason Byron D.S. Perez, Champika Fernando, Roman Nosach, Yanyun Huang, John C. S. Harding, Janet E. Hill

Bibliographic record

VenuePathogens and Disease · 2017
Typearticle
Languageen
FieldVeterinary
TopicVeterinary medicine and infectious diseases
Canadian institutionsShared HealthUniversity of Saskatchewan
Fundersnot available
KeywordsVirulenceBiologyMicrobiologyFecesGenomeStrain (injury)Attenuated vaccineIn vitroSerial passageVirologyGeneGenetics

Abstract

fetched live from OpenAlex

Brachyspira hampsonii causes dysentery-like disease in infected pigs. Serial passage of a virulent swine isolate (P13) one-hundred times in laboratory culture medium was conducted to produce an attenuated strain, and to identify genomic determinants of virulence through comparison of genome sequences of the original and passaged strains. The resulting strain, P113, did not differ from P13 in terms of diagnostic biochemical characteristics but had an enhanced growth rate in culture, indicating laboratory adaptation. Whole genome sequencing of P113 revealed several single-nucleotide changes including a T to C transition that results in an R to G amino acid change in a putative mannose-1-phosphate guanylytransferase that is implicated in production of lipo-oligosaccharide. P113 was partially attenuated in a mouse model of infection, indicated by significantly fewer observations of abnormal feces in mice infected with P113 relative to P13. No differences were detected in bacterial shedding in feces, demonstrating that the ability of the organism to colonize mice was not affected. Passage through a mouse did not further alter the virulence of P113. Results of this study provide insight into genomic determinants of virulence in B. hampsonii and a live attenuated vaccine candidate.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.048
GPT teacher head0.332
Teacher spread0.284 · 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 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
Published2017
Admission routes1
Has abstractyes

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