Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Bibliographic record
Abstract
Suberin deposition involves both phenolic and aliphatic polymer biosynthesis and deposition in the same tissue. Therefore, any consideration of exploiting suberin for crop enhancement (e.g., enhanced storage, soil borne disease resistance) requires knowledge of both phenolic and aliphatic component biosynthesis and their coordinated, temporal deposition. In the present study, we use a wound-healing potato tuber system to explore global transcriptome changes during the early stages of wound-healing. Wounding leads to initial and substantial transcriptional changes that follow distinctive temporal patterns - primary metabolic pathways were already functional, or up-regulated immediately, and maintained at levels that would allow for precursor carbon skeletons and energy to feed into downstream metabolic processes. Genes involved in pathways for phenolic production (i.e., the shikimate pathway and phenylpropanoid metabolism) were up-regulated early while those involved in aliphatic suberin production (i.e., fatty acid biosynthesis and modification) were transcribed later into the time course. The pattern of accumulation of genes associated with ABA biosynthesis and degradation steps support a role for ABA in regulating aliphatic suberin production. Evaluation of putative Casparian strip membrane-like genes pinpointed wound-responsive candidates that may mediate the suberin deposition process.
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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 | 0.001 |
| 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) | 0.000 | 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".