A New UV‐B Protectant in Plant: Insights Into THCAS and THCA's Role in UV‐B Tolerance
Bibliographic record
Abstract
Understanding how plants respond to environmental stressors such as ultraviolet B (UV-B) radiation is critical for agricultural resilience and crop improvement. Investigation of the UV-B response in 17 cannabis accessions revealed distinct differences in morphological changes between two groups, A and B. Whole-genome resequencing and population-level analyses indicate that Δ9-tetrahydrocannabinolic acid synthase (THCAS) is subject to positive selection or a selective sweep. Sequence analysis and functional characterization of THCAS revealed that two single nucleotide variations, resulting in two amino acids change at Pro333 and Ser355, which are associated with THCAS activity and potentially linked to differential plant response to UV-B radiation. The role of THCAS in enhancing UV-B tolerance was further demonstrated by overexpressing functional THCAS in different plant species under UV-B stress environment. This study suggests that THCA, produced by the enzyme THCAS, acts as a shield against UV-B radiation. Plants with higher levels of THCA exhibited greater tolerance to UV-B exposure. Exogenous application of THCA alleviated UV-B damage in various plant species. Our findings highlight the importance of THCAS-mediated THCA synthesis in conferring UV-B tolerance and provide insights into the genomic and molecular mechanisms that govern plant adaptation to UV-B radiation.
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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".