Identification and characterization of genes involved in the biogenesis of small RNAs in rice, «Oryza sativa L»
Bibliographic record
Abstract
T-DNA and chemically mutagenized rice lines were used in a reverse genetic approach to investigate the role(s) of small RNA in rice, Oryza sativa L. T-DNA tagged lines of the RNA-dependent RNA polymerase 6 (Osrdr6) were homozygous lethal. However, a T-DNA line with disrupted expression of the gene encoding Suppressor of Gene Silencing3 (SGS3) and, also, a chemically mutagenized line with a single nucleotide polymorphism (SNP) in the intronic 2 region of this gene were characterized. Homozygous Ossgs3 mutant lines showed abnormal leaf curling. This suggests that these lines are hyperresponsive to auxin since they do not produce ta-siRNA, which is involved in the targeting and degradation of the Auxin Response Factor, leading to changes in leaf morphology. The homozygous Ossgs3 SNP mutant shows an increased sensitivity to the rice blast strain BNIII. This finding suggests that small RNA's, also, target and degrade fungal mRNA transcripts, decreasing pathogen virulence.
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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".