ComX activity of growing in biofilms
Bibliographic record
Abstract
In many streptococci, including Streptococcus mutans, genetic competence is regulated by a quorum sensing system mediated by a competence stimulating peptide (CSP) pheromone, encoded by the comC gene. In Streptococcus pneumoniae, a central component of this system is ComX, which acts as an alternative sigma factor to activate competence genes involved in DNA uptake and processing. The quorum sensing system responsible for genetic competence induction in S. mutans has been linked to biofilm formation and the acid tolerance response. To examine the response of comX to CSP in S. mutans, a transcriptional fusion of the comX promoter (pcomX) with lacZ was constructed to generate reporter vector pcomx::pALH122 (replicative vector) and transformed into S. mutans UA159 comC-, which is unable to produce endogenous CSP. CSP was added and pcomX::lacZ relative expression index (REI) examined, revealing a 2-fold increase in maximal beta-gal activity 5 and 10 min after CSP addition. The effect of endogenous CSP on pcomX::lacZ expression was also examined by measuring REI in cells grown as a biofilm; peak pcomX activity was observed at 3 h. To determine the temporal pattern of transformation frequency, pMA2, a Spr shuttle vector, was transformed into biofilm-grown cells, with maximal transformation frequency observed at 3 h. Confocal microscopy was performed to examine pcomX activity using a similarly constructed green fluorescent protein reporter vector, pcomX::gfp, in a 4-h biofilm, revealing active pcomX activity in high cell density areas within the biofilm population. These results demonstrated a positive correlation between pcomX activity, natural transformation and competence development in biofilms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".