Regulation of <i>Neisseria meningitidis</i> cytochrome <i>bc</i><sub>1</sub> components by NrrF, a Fur‐controlled small noncoding <scp>RNA</scp>
Bibliographic record
Abstract
NrrF is a small regulatory RNA of the human pathogen Neisseria meningitidis. NrrF was previously shown to repress succinate dehydrogenase (sdhCDAB) under control of the ferric uptake regulator (Fur). Here, we provide evidence that cytochrome bc1, encoded by the polycistronic mRNA petABC, is a NrrF target as well. We demonstrated differential expression of cytochrome bc1 comparing wild‐type meningococci and meningococci expressing NrrF when sufficient iron is available. Using a gfp‐reporter system monitoring translational control and target recognition of sRNA in Escherichia coli, we show that interaction between NrrF and the 5′ untranslated region of the petABC mRNA results in its repression. The NrrF region essential for repression of petABC was identified by site‐directed mutagenesis and is fully conserved among meningococci. Our results provide further insights into the mechanism by which Fur controls essential components of the N. meningitidis respiratory chain. Adaptation of cytochrome bc1 complex component levels upon iron limitation is post‐transcriptionally regulated via the small regulatory RNA NrrF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".