The Mgv1–Rlm1 axis orchestrates SAGA and SWI/SNF complexes at target promoters
Bibliographic record
Abstract
The SWI/sucrose non-fermentable (SWI/SNF)-facilitated removal of nucleosomes and Spt-Ada-Gcn5 acetyltransferase (SAGA) complex-mediated histone acetylation are crucial for the activation of transcription initiation. However, the mechanism by which these two complexes coordinate to regulate gene expression involved in cell wall remodeling during infection process or in response to external stimuli remains largely unknown in plant pathogenic fungi. Here, we demonstrate that the cell wall integrity (CWI) pathway is activated under toxin (deoxynivalenol)-inducing conditions in the phytopathogenic fungus Fusarium graminearum. This treatment results in the phosphorylation and nuclear translocation of the mitogen-activated protein kinase FgMgv1 in the CWI signaling pathway. Once in the nucleus, the activated FgMgv1 phosphorylates the downstream transcription factor FgRlm1, which binds to a 12- or 14-bp cis-element in the promoters of target genes. Notably, FgMgv1 forms a polymer and interacts with FgRlm1 via its kinase domain. Crucially, this polymerization enables FgMgv1 to recruit both the SWI/SNF and SAGA complexes simultaneously through its C-terminal domain at the target promoters. This coordinated action among FgMgv1, FgRlm1, SWI/SNF, and SAGA ultimately facilitates the transcriptional activation of target genes. Collectively, these findings illuminate a regulatory framework in which Mgv1-Rlm1 axis serves as a key regulatory hub, integrating CWI signals with epigenetic modifications to ensure transcriptional responsiveness to external stimuli.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".