Identification and characterization of microRNAs and their targets from expression sequence tags of <i>Ribes nigrum</i>
Bibliographic record
Abstract
MicroRNAs (miRNAs) are a class of endogenous, single-stranded, approximately 21 nt in length, non-coding RNAs which play critical roles in plant biological and metabolic processes. Although numerous miRNAs have been identified in many plant species, miRNAs still remain totally unknown in Ribes nigrum. In the study, two miRNAs (rni-miR5021 and rni-miR5185) were firstly identified in Ribes nigrum using an expression sequence tag (EST)-based comparative genomics approach. Subsequently, transgenic analysis suggested that these putative MIR genes encoding rni-miR5021 and rni-miR5185 were able to generate their corresponding miRNA in vivo. Furthermore, quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis indicated that the expression patterns of the MIR genes varied among blackcurrant tissues, and the two mature miRNAs showed higher accumulation in fruits than other tissues. Finally, 47 targets were predicted for the two miRNAs, which are involved in response to stresses and other plant biological processes. These findings will facilitate future studies on the functions and regulatory mechanisms of miRNAs in Ribes nigrum.
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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 | 0.001 |
| 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 | 0.001 |
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".