Influence of protein damage and proteasome gene expression on the longevity of recalcitrant <i>Madhuca latifolia</i> Roxb. seeds
Bibliographic record
Abstract
Enhanced cellular damage during desiccation is considered to be one of the key factors limiting vigour and viability of seeds. The uncontrolled accumulation of reactive oxygen species and resultant damaging reactions such as the oxidation of lipids and DNA in desiccating seeds of Madhuca latifolia (Roxb.) J. F. Macbr. has already been well characterized. However, hydrolytic and (or) oxidative damage to proteins requires further study. This study investigated the desiccation-induced oxidative damage to proteins and proteolytic systems in recalcitrant M. latifolia seeds during ambient storage. Seeds experienced a significant drop in seed water content [ca. 1.32 to ca. 0.23 g·(g dry mass)−1] during storage resulting in complete loss of viability after 35 days of storage. A considerable decline in total protein content (3.0–3.6 fold) and activity (4.8–13.8 fold) in the gene expressions of proteasome subunits (α, β, and E2) were recorded in the embryonic axis of desiccating M. latifolia seeds. In contrast, increases in the level of protein carbonyls (2.46 fold), hydroperoxides (2.31 fold), malondialdehyde- and 4-hydroxy-2-nonenal-protein adducts (1.8 and 3.9 fold), and Amadori and Maillard reaction products, along with proteases (14.5–30.4 fold) were observed in desiccating M. latifolia seeds. This study revealed that increased oxidation/modification of proteins and proteasome dysfunction are involved in the deterioration of desiccating M. latifolia seeds.
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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".