The role of miR319a and its target gene <i>TCP4</i> in the regulation of pistil development in <i>Prunus mume</i>
Bibliographic record
Abstract
The microRNAs (miRNAs) comprise a broad class of non-coding small endogenous RNAs that are associated with many biological processes through the regulation of target genes, such as leaf morphogenesis and polarity, biotic and abiotic stress responses, and root and flower development. We identified a miRNA that affects flower development, miR319a, in Prunus mume. The Pm-miR319a target, Pm-TCP4, was validated by 5'RACE. The higher expression of Pm-TCP4 in imperfect flowers showed that Pm-TCP4 might promote pistil abortion. Further experiments showed that Pm-miR319a negatively regulates the expression of Pm-TCP4 mRNAs and affected pistil development. Sixteen downstream genes of Pm-TCP4 related to flower development were predicted. Previous studies have shown that they have an impact on the development of pistils. In this study it was established that Pm-miR319a indirectly regulates the development of pistils by regulating its target gene Pm-TCP4.
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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".