tRNA selectivity during ribosome-associated quality control regulates the critical sterility-inducing temperature in two-line hybrid rice
Bibliographic record
Abstract
The two-line hybrid rice system, a cutting-edge hybrid rice breeding technology, has greatly boosted global food security. In thermo-sensitive genic male sterile (TGMS) lines, the critical sterility-inducing temperature (CSIT; the temperature at which TGMS lines change from male fertile to complete male sterile) acts as a key threshold. We recently uncovered that thermo-sensitive genic male sterility 5 ( tms5 ), a sterile locus presenting in over 95% of TGMS lines, leads to the overaccumulation of 2′,3′-cyclic phosphate (cP)-ΔCCA-tRNAs and a deficiency of mature tRNAs, which underlies the molecular mechanism of tms5 -mediated TGMS. However, there are a few reports on the regulatory mechanism controlling CSIT. Here, we identified a suppressor of tms5 , an amino acid substitution (T552I) in the rice Rqc2 (ribosome-associated quality control 2), increases the CSIT in tms5 lines through its C-terminal alanine and threonine modification (CATylation) activity. This substitution alters tRNA selectivity, leading to the recruitment of different tRNAs to the A-site of ribosome and CATylation rate by OsRqc2 during ribosome-associated quality control (RQC), a process that rescues stalled ribosomes and degrades abnormal nascent chains during translational elongation. Further, the mutation restores the levels of mature tRNA-Ser/Ile to increase the CSIT of tms5 lines. Our findings reveal the origin of overaccumulated cP-ΔCCA-tRNAs in tms5 lines, further deepening our understanding of the regulatory network in governing CSIT of TGMS lines containing tms5.
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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 | 0.001 |
| 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".