Assessment of germination, phytochemicals, and transcriptional responses to ethephon priming in soybean [<i>Glycine max</i> (L.) Merrill]
Bibliographic record
Abstract
The present work aims to dissect the underlying signaling pathways associated with soybean [Glycine max (L.) Merrill] seed hormo-priming with ethephon (Eth). Our results demonstrated that soybean germination improved significantly upon Eth priming (Ethp). Phytohormone quantification shows relative enhanced endogenous gibberellin A4 (GA4) levels concomitant with impaired biogenesis and signaling of auxin, viz., indole acetic acid (IAA) and abscisic acid (ABA). Phytochemical analysis revealed relative reduced levels of individual and total raffinose family oligosaccharide (RFO) components, starch, soluble sugars, and sucrose concomitant with enhanced levels of reducing sugars, glucose, cellular ATP, and acetyl-CoA pools. Secondary metabolite analysis revealed the activation of the mevalonate (MVA) pathway with a concomitant suppression of the plastidal 2-methyl-d-erythritol-4-phosphate/1-deoxy-d-xylulose-5-phosphate (MEP/DOX) and phenylpropanoid pathways, substantiated by relative reduced levels of total phenolics, tannins, and proanthocyanidin. Ethp also enhances the in vitro antioxidative activity (viz., 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging ability and ferric reducing antioxidant power (FRAP)) and endogenous antioxidants levels (viz., flavonoids, isoflavones, β-carotene, vitamin C, and vitamin E). Further quantitative real-time polymerase chain reaction (qRT-PCR) analysis showed transcriptional pattern of representative genes in agreement with these metabolic alterations.
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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".