Genome-wide identification of SmJAZ gene family in eggplant and functional mechanism analysis of SmJAZ9 modulating high temperature and darkness stress-regulated anthocyanin biosynthesis
Bibliographic record
Abstract
The biosynthesis of anthocyanin in plants is regulated by temperature, light, jasmonic acid (JA), among others. JASMONATE ZIM-DOMAIN (JAZ) proteins are critical repressors of the jasmonic acid (JA) pathway, the role of JAZ proteins on anthocyanin biosynthesis under high-temperature or dark conditions remains unexplored. Here, we identified 16 SmJAZ genes in eggplant and characterized their evolutionary relationships, gene structures, and high-temperature (HT) and darkness stress-responsive expression patterns. Both the HT and darkness treatments significantly inhibit anthocyanin biosynthesis in eggplant peel. Correlation analysis revealed that the SmJAZ9 expression strongly correlated with anthocyanin biosynthesis-related genes under HT and darkness conditions. Transient expression assay in eggplant peels demonstrated that nuclear-localized SmJAZ9 is a positive regulator, enhancing anthocyanin biosynthesis via interaction with the transcription factor SmMYB113, thereby promoting SmCHS and SmDFR transcription. Additionally, SmJAZ9 interacted with SmMYC2 but not SmCOI1, suggesting a JA signaling-independent regulatory mechanism under HT and darkness conditions. This study revealed a novel JAZ-mediated regulatory module integrating JA signaling, environmental stress responses, and anthocyanin biosynthesis, providing potential targets for improving eggplant fruit quality.
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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".