Comparative Analysis of Plant and Animal Models for Characterization of <i>Burkholderia cepacia</i> Virulence
Bibliographic record
Abstract
A simple alfalfa model was developed as an alternative infection model for virulence studies of the Burkholderia cepacia complex. Symptoms of disease were observed in wounded alfalfa seedlings within 7 days following inoculation of 10(1) to 10(5) CFU of most strains of the B. cepacia complex. Strains from seven genomovars of the B. cepacia complex were tested for virulence in the alfalfa model, and the degree of virulence was generally similar in strains belonging to the same genomovar. Strains of Burkholderia multivorans and some strains of Burkholderia stabilis did not cause symptoms of disease in alfalfa seedlings. Representative strains were also tested for virulence using the rat agar bead model. Most of the strains tested were able to establish chronic lung infections; B. stabilis strains were the exception. Most of the strains that were virulent in the alfalfa infection model were also virulent in the lung infection model. The B. cepacia genomovar III mutants K56pvdA::tp and K56-H15 were significantly less virulent in the alfalfa infection model than their parent strain. Therefore, this alfalfa infection model may be a useful tool for assessing virulence of strains of the B. cepacia complex and identifying new virulence-associated genes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".