Transcriptional regulation of the Rhodobacter capsulatus response regulator CtrA
Bibliographic record
Abstract
The Rhodobacter capsulatus response regulator CtrA controls the expression of 227 genes, some of which are upregulated by both the phosphorylated and unphosphorylated forms of CtrA. Therefore, CtrA concentration alone, regardless of phosphorylation state, may determine expression of downstream genes, yet little is known about the regulation of ctrA in R. capsulatus. In this study we used a ctrA : : lacZ fusion plasmid to study the effects of medium composition, growth conditions and growth phase on R. capsulatus ctrA gene expression. These experiments indicate that ctrA expression is higher when cultures are grown in phototrophic (anaerobic) conditions compared with chemotrophic (aerobic) conditions, and is higher when grown in a minimal medium compared with a rich medium. We used several mutants to investigate possible regulatory pathways, and found that in R. capsulatus ctrA is not autoregulated but is regulated by a quorum-sensing system. The expression of ctrA increased as cell cultures moved through exponential phase and into stationary phase, with high levels of expression persisting long after culture turbidity plateaued. Although this growth phase-dependent pattern of expression was also observed in a quorum-sensing mutant, the magnitude of ctrA expression was about 50% of the wild-type strain at all phases. Furthermore, reduction of phosphate concentration in the growth medium decreased ctrA expression in a culture density-independent manner, whereas reduction of malic acid (carbon source) or ammonium (nitrogen source) concentration had no effect. The regulation of ctrA expression in R. capsulatus appears to require the coordination of multiple pathways involved in detecting a variety of environmental conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".