Phylogenomics of transcriptionally active AP2/ERF and bHLH transcription factors and study of their promoter regions in <i>Nothapodytes nimmoniana</i> (J.Graham) Mabb
Bibliographic record
Abstract
Nothapodytes nimmoniana is a medicinally important plant producing anticancer monoterpene indole alkaloid (MIA), camptothecin (CPT). The CPT is synthesised through the strictosidine intermediate following the MIA pathway; however, transcriptional regulation of CPT pathway is still elusive in N. nimmoniana. Biosynthesis of MIA is regulated by various transcription factors (TFs) belonging to AP2/ERF, bHLH, MYB, and WRKY families. The present study identified transcriptionally active full-length 105 AP2/ERF and 68 bHLH family TFs from the N. nimmoniana. AP2/ERF TFs were divided into three subfamilies along with a soloist, while bHLH TFs were divided into 10 subfamilies according to their phylogenetic similarities. Three group IXa ERFs, Nn-ERF22, Nn-ERF29, and Nn-ERF41, one subfamily IVa TF Nn-bHLH7, and three subfamilies IIIe Nn-bHLH33, Nn-bHLH51, and Nn-bHLH52 clustered with the TFs regulating alkaloid biosynthesis in Catharanthus roseus, tomato, tobacco, and Artemisia annua. Expression of these TFs in N. nimmoniana was higher in roots, which is a primary CPT accumulating tissue. Moreover, genome skimming approach was used to reconstruct the promoter regions of candidate ERF genes to identify the cis-regulatory elements. The presence of G-boxes and other jasmonic acid-responsive elements in the promoter suggests the regulation of ERFs by bHLHs. The present study effectively generated and used genomics resource for characterisation of regulatory TFs from non-model medicinal plant.
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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 | 0.000 | 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".