Characterization of Proteins Involved in MYB Transcription Factor Complexes that Regulate Suberin Deposition in Arabidopsis thaliana
Bibliographic record
Abstract
Terrestrial plants deposit cell wall-associated, glycerolipid-based polymeric barriers in specific tissue layers as protection against various environmental stresses (e.g.drought, salinity, toxins, and pathogens).One of these barriers, suberin, is found in the cell walls of various underground and aerial tissues, including root endodermis, tuber periderms, and bark (cork).Suberin influences water uptake and retention, ion transport, and gas exchange within roots.A set of myeloblastosis (MYB)-type transcription factors (TFs) has been found to regulate suberin production in the model plant Arabidopsis thaliana.The functions of MYB TFs are known to be influenced by protein-protein interactions with other TFs at the promoters of target genes.Hence, the main focus of this study was to characterize protein-protein interactions involving MYB TFs that regulate suberin deposition in root endodermis.I used a targeted yeast two-hybrid assay to identify a physical interaction between Arabidopsis MYB92 and MYB93 with bHLH111 (a basic helix-loop-helix TF).In addition, the root expression pattern of the bHLH111 gene, as visualized by a promoter : reporter gene (GUS) assay, was consistent with a role in regulating suberin deposition in the endodermis.Knock-out mutations of bHLH111 and the related bHLH112 gene were found to have reduced levels of suberin in young Arabidopsis roots.Altogether, these findings provide evidence for bHLH proteins working together with MYB TFs to regulate suberin production in the root endodermis of Arabidopsis.me the opportunity to perform my experiments in his lab and for all of his invaluable guidance throughout my MSc project.
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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 | 0.001 |
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".