Overexpression of a moso bamboo (<i>Phyllostachys edulis</i>) transcription factor gene <i>PheWRKY1</i> enhances disease resistance in transgenic <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Members of plant WRKY transcription factor families are implicated in defense responses and various other physiological processes. To study the function of WRKY transcription factors in moso bamboo (Phyllostachys edulis (Carrière) J. Houz.), a PheWRKY1 gene (GenBank accession number: GU944762) was cloned by reverse transcription polymerase chain reaction. An overexpression vector for this gene was constructed and transformed into Arabidopsis thaliana (L.) Heynh. by an agrobacterium-mediated method. To determine the effect of PheWRKY1 gene overexpression on disease resistance in A. thaliana, the photosynthetic parameters and the expression of pathogenesis-related (PR) genes were examined after Pseudomonas syringae PV Tomato DC3000 (Pst DC3000) infection. Compared to wild-type plants, most PheWRKY1-overexpressing plants did not exhibit spreading maceration to systemic leaves and had a better photosynthetic capacity after Pst DC3000 infection. Furthermore, PheWRKY1-overexpressing plants accumulated significantly more PR1, PR2, PR5, and nonexpressor of PR genes (NPR1) transcripts. These results demonstrated that transgenic Arabidopsis overexpressing PheWRKY1 gene exhibited improved resistance to bacterial infection.
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 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".