Functional Analysis of Tomato <i>Pti4</i> in Arabidopsis,
Bibliographic record
Abstract
Pti4 is a tomato (Lycopersicon esculentum) transcription factor that belongs to the ERF (ethylene-responsive element binding factor) family of proteins. It interacts with the Pto kinase in tomato, which confers resistance to the Pseudomonas syringae pv tomato pathogen that causes bacterial speck disease. To study the function of Pti4, transgenic Arabidopsis plants were generated that expressed tomato Pti4 driven by the strong constitutive promoters, cauliflower mosaic virus 35S and tCUP. Global gene expression analysis by Affimetric GeneChip indicated that expression of Pti4 in transgenic Arabidopsis plants induced the expression of GCC box-containing PR genes. We also demonstrated that Pti4 enhanced GCC box-mediated transcription of a reporter gene. The data suggests that tomato Pti4 could act as a transcriptional activator to regulate expression of GCC box-containing genes. Furthermore, we show that the expression of tomato Pti4 in transgenic Arabidopsis plants produced a phenotype similar to that seen in plants treated with ethylene, thus providing evidence that the Pti4 gene is involved in the regulation of a subset of ethylene-responsive genes containing the GCC box.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".