The Role of Mucoidy in Virulence of Bacteria from the<i>Burkholderia cepacia</i>Complex: A Systematic Proteomic and Transcriptomic Analysis
Bibliographic record
Abstract
Bacteria of the Burkholderia cepacia complex (BCC) are associated with severe infection in cystic fibrosis. Recent evidence shows that the mucoid phenotype is common in BCC bacteria; however, during chronic infection, transitions from the mucoid to nonmucoid morphology have been shown to take place. Here we use RNA microarray and proteomic isobaric tagging relative and absolute quantitation technologies to gain insight into a pair of mucoid and nonmucoid isolates of B. cenocepacia obtained from a chronically infected patient with cystic fibrosis in the year prior to her death. During chronic infection, the mucoid isolate lost the B. cepacia epidemic strain marker and acquired a mutation in the cepR gene. In the nonmucoid isolate, we observed overexpression at both the RNA and protein level of several described putative virulence factors, including a nematocidal protein AidA and the oxidative stress response protein AhpC. We show that this translates into increased resistance to oxidative stress in the nonmucoid isolate, a key microbial determinant for resistance against phagocytic cell killing. These data illuminate the biological differences between mucoid and nonmucoid BCC bacteria, provide targets for elucidating the genetic control of exopolysaccharide production in the BCC, and highlight that chronic infection can produce both genetically and phenotypically distinct microbial variants in the cystic fibrosis lung.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".