High temperature reduces peel color in eggplant (<i>Solanum melongena</i>) as revealed by RNA-seq analysis
Bibliographic record
Abstract
To acquire the eggplant transcriptome under high temperature stress, 18 cDNA libraries were constructed and sequenced. A total of 136.31 Gb of clean data was obtained, and 88.86%–92.35% of the clean reads were mapped to the eggplant reference genome. Under high temperature, the number of down-regulated genes was more than that of up-regulated genes and there were more differentially expressed genes on the 10th day after flowering than on the 15th and 20th days after flowering. On the 10th day after flowering, the key genes CHI, 3GT, F3′5′H, DFR2, ANS, and F3H in anthocyanin synthetic pathway and most ERF, WRKY, bHLH, and MYB transcription factors were all down-regulated. High temperature significantly decreased the total anthocyanin content in peels. The results showed that at the early stage of peel coloring, high temperature inhibited the expressions of key genes in anthocyanin biosynthetic pathways through the regulation of transcription factors, leading to a significant decrease in total anthocyanin content, which might reduce the peel color in eggplant.
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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".