SIPK conditions transcriptional responses unique to either bacterial or oomycete elicitation in tobacco
Bibliographic record
Abstract
SUMMARY The mitogen-activated protein kinase, SIPK (salicylic acid-induced protein kinase), is known to be rapidly activated in tobacco (Nicotiana tabacum) by various elicitors. However, SIPK activation induced by the oomycete elicitor, beta-megaspermin, is reported to require external calcium influx, whereas that induced by the bacterial elicitor, hrpZ(Psph), does not. This suggests that SIPK activation is involved in different elicitor-initiated signalling pathways, and raises the question of whether the role(s) of SIPK in mediating stress outcomes, including transcriptional re-programming, differs in an elicitor-specific manner. To examine this, we compared the impact of silencing SIPK on the transcript profile of tobacco suspension culture cells challenged with either hrpZ(Psph) or beta-megaspermin. SIPK-silencing was found to have a substantial impact on both hrpZ(Psph)- and beta-megaspermin-induced transcriptional responses, and these impacts included both common and elicitor-differentiated features. As well as revealing a role for SIPK in modulating expression of known redox- and defence-related genes in response to both elicitors, our analysis detected a substantial impact of SIPK silencing on transcription of 80S ribosomal subunit mRNAs. This novel observation suggests that SIPK may play a role in affecting translation efficiency as one mechanism for enacting rapid genome-wide, elicitor-specific physiological reprogramming during defence responses.
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) | 0.001 | 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".