Bibliographic record
Abstract
AP2/ERF transcription factors (TF) are widely involved in the biological process of Ginkgo biloba , here, the ERF gene family may regulate plant stress responses through mediating secondary metabolism. To understand the regulation mechanisms of ERF gene family during this process, two transcriptome databases of ginkgo leaves under UV-B and drought stress were constructed respectively. The conserved domains, physicochemical properties and gene family homology of AP2/ERF TFs were analyzed using online bioinformatics tools, the expression of ERF gene family under these two adversity stresses were predicted and five ERF genes involved in flavonoid pathway were selected for qRT - PCR validation analysis. The results showed that 61 AP2/ERF TFs were identified from G. biloba , and which were classified into 28 GbERF, 23 GbDREB, 5 GbAP2, and 5 GbRAV, according to their conserved domains and motifs. The Amino acid numbers, isoelectric point (pI) and some other physicochemical properties varied greatly between different members. Sequence homology analysis with Arabidopsis thaliana and Glycine max showed that the members in the same AP2/ERF subfamily were closely related. In G. biloba , the GbERF and GbDREB subfamily together constitute the ERF gene family, transcriptome prediction analysis showed that the expression of most members of ERF gene family were increased under UV-B and drought stress. From the validation analysis, we concluded that the changes of the expression levels of these five genes were consistent with the prediction results. This study provided scientific basis for the function analysis of ERF gene family in G. biloba .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.052 |
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".