Transcriptional Regulators of Suberin Biosynthesis in Arabidopsis thaliana
Bibliographic record
Abstract
Like all vascular plants, the root endodermis of Arabidopsis thaliana contains aliphatic suberin, a cell wall-associated hydrophobic polymer that helps direct the symplastic movement of water and solutes into the central vasculature.The enzymes involved in suberin biosynthesis are relatively well characterized, but there are many gaps in our knowledge on how suberin biosynthesis is regulated.In this study, I demonstrate that Arabidopsis MYB41, MYB53, MYB92, and MYB93, which are R2R3 MYBtype transcription factors, can activate the transcription of suberin biosynthesis genes through their promoter (region 5' of the translation start site).Using a promoter: reporter deletion series, two regions of the promoter upstream region of the Arabidopsis FAR4 gene, which encodes a suberin biosynthetic enzyme, were determined to be important for specific expression in the root endodermis.AC-rich motifs, which are important for the recognition of DNA by specific MYB-type transcription factors, were enriched in the promoters of suberin biosynthesis genes.Although the important FAR4 promoter DNA segments contained these AC-rich motifs, I found no evidence of direct binding by MYB53, MYB92, and MYB93 using a yeast 1-hybrid assay.Lastly, the promoter of Arabidopsis WRKY56, which also encodes a transcription factor, was transcriptionally activated by MYB41, MYB53, MYB92, and MYB93.While WRKY56 had limited impact on root suberin deposition under non-stress conditions, bioinformatic evidence suggests that WRKY56 has a role under stress conditions.
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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) | 0.002 | 0.002 |
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".