Use of Suppression-Subtractive Hybridization To Identify Genes in the <i>Burkholderia cepacia</i> Complex That Are Unique to <i>Burkholderia cenocepacia</i>
Bibliographic record
Abstract
We have previously shown differences in virulence between species of the Burkholderia cepacia complex using the alfalfa infection model and the rat agar bead chronic infection model. Burkholderia cenocepacia strains were more virulent in these two infection models than Burkholderia multivorans and Burkholderia stabilis strains. In order to identify genes that may account for the increased virulence of B. cenocepacia, suppression-subtractive hybridization was performed between B. cenocepacia K56-2 and B. multivorans C5393 and between B. cenocepacia K56-2 and B. stabilis LMG14294. Genes identified included DNA modification/phage-related/insertion sequences and genes involved in cell membrane/surface structures, resistance, transport, metabolism, regulation, secretion systems, as well as genes of unknown function. Several of these genes were present in the ET12 lineage of B. cenocepacia but not in other members of the B. cepacia complex. Virulence studies in a chronic lung infection model determined that the hypothetical YfjI protein, which is unique to the ET12 clone, contributes to lung pathology. Other genes specific to B. cenocepacia and/or the ET12 lineage were shown to play a role in biofilm formation and swarming or swimming motility.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".