Evolutionary Adaptation in Cactaceae Fruit Trees Photosynthetic Transition and Carbon Metabolism Regulation in Pitaya
Bibliographic record
Abstract
Pitaya ( Hylocereus spp.) is a typical crassulacean acid metabolism (CAM) plant in the Cactaceae family, which can effectively utilize water through a special photosynthetic pathway in arid environments. This study reviews the evolutionary mechanism of the conversion of the photosynthetic pathway of pitaya from C3 to CAM, and elaborates on its carbon metabolism regulation characteristics. The taxonomic differences of C3, intrinsic CAM and inducible CAM photosynthesis in Cactaceae plants, as well as the structural and physiological characteristics related to CAM evolution, are compared. The circadian expression characteristics of key enzyme genes of pitaya CAM photosynthesis, the role of transcription factors involved in regulation, and the regulatory mechanisms at the epigenetic and post-transcriptional levels are analyzed. The dynamics of the accumulation and conversion of carbonate assimilates (such as malic acid, sugar and starch) in pitaya during the diurnal cycle, as well as the role of vacuolar carbonate transport in carbon allocation, are discussed. The conservation and novelty of CAM pathway-related genes in Cactaceae plants are explored from the perspective of comparative genomics, and the differences in the genomes of pitaya and its C3 relatives are compared. Through the case of red-fleshed and white-fleshed pitaya varieties, this study analyzed the changes in CAM expression levels and metabolome under drought and high temperature stress, and looked forward to applying CAM characteristics to pitaya stress resistance breeding to improve crop water use efficiency and stress resistance, and promote the efficient use of pitaya in sustainable agricultural development.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".