A functional relationship between helix 1 and the 900 tetraloop of 16S ribosomal RNA within the bacterial ribosome
Bibliographic record
Abstract
The conserved 900 tetraloop that caps helix 27 of 16S ribosomal RNA (rRNA) interacts with helix 24 of 16S rRNA and also with helix 67 of 23S rRNA, forming the intersubunit bridge B2c, proximal to the decoding center. In previous studies, we investigated how the interaction between the 900 tetraloop and helix 24 participates in subunit association and translational fidelity. In the present study, we investigated whether the 900 tetraloop is involved in other undetected interactions with different regions of the Escherichia coli 16S rRNA. Using a genetic complementation approach, we selected mutations in 16S rRNA that compensate for a 900 tetraloop mutation, A900G, which severely impairs subunit association and translational fidelity. Mutations were randomly introduced in 16S rRNA, using either a mutagenic XL1-Red E. coli strain or an error-prone PCR strategy. Gain-offunction mutations were selected in vivo with a specialized ribosome system. Two mutations, the deletion of U12 and the U12C substitution, were thus independently selected in helix 1 of 16S rRNA. This helix is located in the vicinity of helix 27, but does not directly contact the 900 tetraloop in the crystal structures of the ribosome. Both mutations correct the subunit association and translational fidelity defects caused by the A900G mutation, revealing an unanticipated functional interaction between these two regions of 16S rRNA.
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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 | 0.001 | 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".