The<i>Escherichia coli ribB</i>riboswitch senses flavin mononucleotide within a defined transcriptional window
Bibliographic record
Abstract
Riboswitches are metabolite-binding RNA regulators that modulate gene expression at the levels of transcription and translation. One of the hallmarks of riboswitch regulation is that they undergo structural changes upon metabolite binding. While a lot of effort has been put to characterize how the metabolite is recognized by the riboswitch, there is still relatively little information regarding how ligand sensing is performed within a transcriptional context. Here, we study the ligand-dependent cotranscriptional folding of the FMN-sensingribBriboswitch ofEscherichia coli. Using RNase H assays to study nascentribBriboswitch transcripts, DNA probes targeting the P1 and sequestering stems indicate that FMN binding leads to the protection of these regions from RNase H cleavage, consistent with the riboswitch inhibiting translation initiation when bound to FMN. Our results show that ligand sensing is strongly affected by the position of elongating RNA polymerase, which is defining an FMN-binding transcriptional window that is bordered in its 3′ extremity by a transcriptional pause site. Also, using successively overlapping DNA probes targeting a subdomain of the riboswitch, our data suggest the presence of a previously unsuspected helical region involving the 3′ strand of the P1 stem. Our results show that this helical region is conserved across bacterial species, thus suggesting that this predicted structure, the anti*-P1 stem, is involved in the FMN-free conformation of theribBriboswitch. Overall, our study further demonstrates that intricate folding strategies may be used by riboswitches to perform metabolite sensing during the transcriptional process.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".