Light Regulation of Tricarboxylic Acid Cycle Isoenzymes in Plants
Bibliographic record
Abstract
Abstract Light regulation of the tricarboxylic acid cycle (TCA) in green plant leaves is carried out by active forms of phytochrome and cryptochrome as well as other mechanisms that exhibit an inhibitory effect on the activity of a number of mitochondrial isoenzymes. Phytochrome signal transduction into the cell nucleus is carried out by redistribution of free calcium cations between cell compartments, which leads to the activation of calmodulins. Interacting with Ca2+-cam-dependent kinase, calmodulins provide control over the functioning of the transcription factor PIF3, which regulates the expression of genes for isoenzymes of 2-oxoglutarate dehydrogenase, succinate dehydrogenase, aconitate hydratase, malate dehydrogenase, fumarate hydratase, and citrate synthase in green leaves of plants, thus controlling the rate of functioning of the TCA. The high methyl status of the promoters of the genes encoding these enzymes leads to the suppression of their transcription, which suggests an epigenetic mechanism for light regulation of their expression. Changes in the methyl status of individual CG dinucleotides in the CpG islands of gene promoters regulate their functioning in plant leaves under different lighting conditions.
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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".