Unraveling the regulatory role of miRNAs responsible for proanthocyanidin biosynthesis in the underutilized legume <i>Psophocarpus tetragonolobus</i> (L.) DC
Bibliographic record
Abstract
Abstract The underutilized legume winged bean ( Psophocarpus tetragonolobus (L.) DC.) is deposited with various degrees of proanathocyanidin (PA) or condensed tannin (CT) on its seed-coat. PA content of two different lines of P. tetragonolobus was estimated and accordingly they were denoted as high-proanthocyanidin containing winged bean (HPW) and low-proanthocyanidin containing winged bean (LPW). The level of PA-content varied as 59.23 mg/g in HPW and 8.68 mg/g in LPW when estimated through vanillin-HCl assay. The identification and quantification of catechin and epigallocatechin gallate were estimated in a range of 63.8 mg/g and 2.3mg/g respectively in HPW whereas only epigallocatechin gallate was reported in LPW line with a value of 3 mg/g. A comparative miRNA profiling of the leaf-tissues of these contrasting lines of P. tetragonolobus revealed a total of 139 mature miRNAs. Isoforms of known novel miRNAs were also identified in this study. Differentially expressed miRNAs e.g., miR156, miR396, miR4414b, miR4416c, miR894, miR2111 and miR5139 were validated through qRT-PCR analysis. Target prediction of the identified miRNAs especially miR156, miR396, miR4416b shows that they have a potential role in the proanthocyanidin biosynthesis of P. tetragonolobus . The study will provide the basis for understanding the role of miRNAs in regulating the biosynthesis of proanthocyanidin.
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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".