The Downstream Targets of MYB-Type Transcription Factors Involved in Suberin Biosynthesis
Bibliographic record
Abstract
Suberin is a lipid-and phenolic-based heteropolymer that is deposited in the cell walls of certain plant tissues to act as a physical barrier against unregulated gas, water, and solute movement.Suberin is deposited, for example, in root endodermis and periderm.It is also deposited in stem periderms (including tree bark), seed coats, and at wound sites.Suberin deposition in root endodermis of the model plant Arabidopsis thaliana is controlled by MYB-type transcription factors AtMYB53, AtMYB92 and AtMYB93 under non-stress conditions.. The transcriptional targets of these MYBs have not been previously reported.These gene targets may include suberin biosynthetic enzymes, transporters, and co-regulators not previously characterized.In this thesis, the transcriptomes of two Arabidopsis triple knockout myb53 myb92 myb93 (TKO) mutants were compared to 14-day old wild-type seedlings using RNA-seq analyses.Additionally, the transcriptome of a steroid-inducible AtMYB53 overexpression line was compared to an uninduced control in 10-day old seedlings.From these analyses, a set of new candidate suberin-associated genes was generated, including GDSL-type esterases / acyltransferases, an HXXXD-type (BAHD) acyl-transferase, additional MYB-type transcription factors, a WRKY transcription factor, ABCG-type transporters, and CASPlike assembly proteins.Sequential C-terminal deletions of each of these MYBs revealed important regions for their activity and may facilitate future experiments aimed at elucidating direct gene targets.Identification of potential gene targets of AtMYB53, AtMYB92, and AtMYB93 gene targets presents new opportunities to add to our understanding of suberin biosynthesis and its regulated deposition.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".