Carbon partitioning in tissues of a gain-of-function mutant (<i>MYB75</i>/<i>PAP1-D</i>) and a loss-of-function mutant (<i>myb75-1</i>) in<i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
The role of myeloblastosis (MYB) transcription factors in regulation of carbon flow among the various products of the phenylpropanoid pathway is still unclear. Carbon partitioning in Arabidopsis thaliana (L.) Heynh. was studied in a gain-of-function mutant (MYB75/PAP1-D) and a loss-of-function mutant (myb75-1). Determination of anthocyanins and total phenolics levels in leaf, peduncle, and root tissues of these mutants and their wild-type (WT) parental lines was assessed, as well as 13 C partitioning between “extractives” (predominantly cytoplasm) and “nonextractives” (predominantly cell wall) of these tissues. The amounts of anthocyanins and phenolics in the leaves and peduncles of MYB75/PAP1-D mutant were higher than in its WT line. 13 C excess in the extractives of leaves and peduncles of the mutant was also higher than that found in the WT line, indicating that the transcription factor MYB75 positively regulated carbon flow to flavonoids biosynthesis in the phenylpropanoid pathway. The myb75-1 mutant had higher distribution of 13 C in both extractives and nonextractives of leaves and peduncles, especially in nonextractives of the peduncles, and lower levels of anthocyanins compared with its WT. This suggests that the knockout of MYB75 inhibits biosynthesis of anthocyanins and regulates carbon flow from cytoplasm to cell wall components by activating the biosynthesis of monolignols in cytoplasm, which, in turn, are transported and deposited to the secondary cell wall, resulting in secondary cell wall thickening. Patterns of anthocyanin level and 13 C partitioning in roots were different from that seen in leaves and peduncles, suggesting that regulation of the phenylpropanoid pathway by MYB75 may be tissue specific.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".