An old dog with new tricks—the value of photorespiration as a central metabolic hub with implications for environmental acclimation
Bibliographic record
Abstract
Photorespiration serves as a metabolic repair system that safeguards photosynthetic carbon fixation in photoautotrophic organisms thriving in today's oxygen-rich atmosphere. This essential process detoxifies the inhibitory metabolite 2-phosphoglycolate, an unavoidable byproduct of Rubisco activity in the light. If not efficiently metabolized, 2-phosphoglycolate impairs key enzymatic processes involved in carbon assimilation and utilization, thereby inhibiting growth in oxygenic phototrophs. Decades of research have unraveled the biochemical and genetic intricacies of photorespiration, establishing it as the second-highest carbon flux in illuminated leaves. Here, we discuss recent developments that have expanded our understanding of the pathway, revealing novel metabolic players, intricate inter-organelle interactions, and new regulatory networks. Isotope labeling studies and reverse genetics have identified further interactions of the classical photorespiratory cycle with central carbon and nitrogen metabolism. To enhance photosynthetic efficiency, synthetic biology approaches have reengineered photorespiration by either integrating bypass pathways or optimizing native enzymes. These interventions highlight the vast potential of optimized photorespiration to boost photosynthetic yield and enhance plant adaptation to future climates. Very recently, the importance of active photorespiration in guard cells was discovered, linking it to the regulation of stomatal metabolism and behavior. Collectively, these recent findings reinforce the immense promise of continued photorespiratory research in developing innovative strategies for improving plant yield and resilience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".