The Long D-stem of the Selenocysteine tRNA Provides Resilience at the Expense of Maximal Function
Bibliographic record
Abstract
BACKGROUND: The selenocysteine tRNA (tRNASec) has a uniquely long D-stem containing 6 base pairs. RESULTS: The extended D-stem is not essential for function but is required for stability. CONCLUSION: Enhanced secondary structure in selenocysteine tRNA compensates for the absence of canonical tertiary interactions. SIGNIFICANCE: The flexibility due to the absence of tertiary interactions is required for tRNASec function, whereas the enhanced secondary structure compensates for the decreased stability. The D-stem of the selenocysteine tRNA (tRNA(Sec)) contains 2 additional base pairs, which replace tertiary interactions 8-14 and 15-48 universally present in all other cytosolic tRNAs. To study the role of these additional base pairs in the tRNA(Sec) function, we used the instant evolution approach. In vivo screening of six combinatorial gene libraries provided 158 functional variants of the Escherichia coli tRNA(Sec). Analysis of these variants showed that the additional base pairs in the D-stem were not required for the tRNA(Sec) function. Moreover, at lower temperatures, these base pairs notably harmed the tRNA(Sec) activity. However, at elevated temperatures, these base pairs became essential as they made the tRNA structure more stable. The alternative way to stabilize the structure through formation of the standard tertiary interactions was not an option for tRNA(Sec) variants, which suggests that the absence of these interactions and the resulting flexibility of the tertiary structure are essential for tRNA(Sec) function.
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 | 0.001 |
| 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".