Degradation and repair/resynthesis rates of chlorophyll in response to oxidative stress and complete darkness differ between annual and perennial flax
Bibliographic record
Abstract
Abstract Among plants, there is considerable variation in maximum lifespan, with annuals living less than one year and perennials living up to 43 600 years. This lifespan variation may reflect differential investment of limited energy resources, with perennials investing more energy into biomolecular damage prevention and/or repair than annuals in order to ensure their persistence over multiple seasons. The present study evaluated this prediction using chlorophyll from annual and perennial flax (Linum L.). We investigated the degradation and repair/resynthesis rates of chlorophyll in response to two different stressors: oxidative stress and complete darkness. Chlorophyll levels were measured using two different techniques: image colour analysis and spectrophotometry. While chlorophyll degradation rates in response to oxidative stress did not differ between annuals and perennials, chlorophyll repair rates following such exposure were significantly higher in perennials, for both chlorophyll a and b, consistent with our predictions. When plants were subjected to complete darkness, chlorophyll degradation rates were significantly lower in perennials than annuals, as predicted; however, when plants were subsequently reintroduced to natural photoperiod, chlorophyll resynthesis rates did not consistently differ between annuals and perennials, though they tended to be higher in the latter, as expected. Overall, our study illuminates that evolutionary transitions between life history strategies in plants have been accompanied by some physiological modifications to chlorophyll dynamics that permit perennial species to better maintain chlorophyll levels in the face of exogenous stressors, which may contribute to their increased longevity.
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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".