YGL138(t), encoding a putative signal recognition particle 54 kDa protein, is involved in chloroplast development of rice
Bibliographic record
Abstract
BACKGROUND: Normal development of chloroplast is vitally important to plants, but its biological mechanism is still far from fully being understood, especially in rice. RESULTS: In this study, a novel yellow-green leaf mutant, ygl138, derived from Nipponbare (Oryza sativa L. ssp. japonica) treated by ethyl methanesulfonate (EMS), was isolated. The mutant exhibited a distinct yellow-green leaf phenotype throughout development, reduced chlorophyll level, and arrested chloroplast development. The phenotype of the ygl138 mutant was caused by a single nuclear gene, which was tentatively designed as YGL138(t). The YGL138(t) locus was mapped to chromosome 11 and isolated into a confined region of 91.8 kb by map-based cloning. Sequencing analysis revealed that, Os11g05552, which was predicted to encode a signal recognition particle 54 kDa (SRP54) protein and act as a chloroplast precursor, had 18 bp nucleotides deletion in the coding region of ygl138 and led to a frameshift. Furthermore, the identity of Os11g05552 was verified by transgenic complementation. CONCLUSIONS: These results are very valuable for further study on YGL138(t) gene and illuminating the mechanism of SRP54 protein involving in chloroplast development of rice.
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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) | 0.001 | 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) | 0.002 | 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".