Germination associated ROS production and glutathione redox capacity in two recalcitrant-seeded species differing in seed longevity
Bibliographic record
Abstract
This study investigated the relationship between germination rate and storage lifespan in two recalcitrant-seeded species, Avicennia marina (Forssk.) Vierh. and Trichilia dregeana Sond., in relation to water uptake and oxidative metabolism. Seeds of A. marina had a higher germination rate and shorter hydrated storage lifespan than T. dregeana. Rapid germination of A. marina seeds was associated with high water uptake rates and an early increase in reactive oxygen species (ROS) production and decline in GSH:GSSG ratio. Slower germination in T. dregeana seeds was associated with lower water uptake rates, delayed onset of the ROS-based trigger for germination, and high GSH:GSSG ratio. Positive correlations (p < 0.05) between ROS production and percent water uptake, and inhibition of germination by ROS scavenging agents confirmed the requirement for heightened ROS levels for germination in both species. Germination rate in recalcitrant seeds appears to be governed by the rate of water uptake and ROS production; the latter being dependent on antioxidant activity. We propose that poor longevity in recalcitrant seeds, such as those of A. marina, is based on high rates of water uptake and low levels of ROS scavenging activity that promote the ROS-based trigger for germination during hydrated storage.
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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 | 0.001 | 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".