The <scp>SCOOP12</scp> ‐ <scp>MIK2</scp> module regulates Arabidopsis root meristem development via the <scp>PLETHORA</scp> transcription factors
Bibliographic record
Abstract
Plants have evolved intricate mechanisms to balance growth and defense through complex signaling networks. Previous studies have focused on aerial parts or crop yield, but little is known about the regulation of root growth under pathogen attack. Here, we report that the SERINE RICH ENDOGENOUS PEPTIDE12 (SCOOP12) immune signaling peptide regulates root meristem development via the receptor-like kinase MALE DISCOVERER 1-INTERACTING RECEPTOR-LIKE KINASE 2 (MIK2) and the MAPK cascade in Arabidopsis. We demonstrated that SCOOP12 treatment reduced the number of root meristematic cells by suppressing the expression of key molecular regulators, including PLETHORA1 (PLT1) and PLT2, which are essential for maintaining root stem cell niche (SCN) activity. Physiological and cell biological experiments revealed that MIK2 and MPK6 are required for SCOOP12-mediated root growth regulation, as the mik2 and mpk6 mutants presented reduced sensitivity to SCOOP12-induced effects. Further biochemical evidence indicates that MPK6 directly phosphorylates PLT1 and PLT2. The plt1-4 plt2-2 double mutant also presented diminished responses to SCOOP12, confirming the central role of PLT1/2 in this regulatory network. Our work elucidated a molecular pathway through which SCOOP12 modulates root meristem activity, providing insights into the trade-off between plant growth and immunity.
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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 | 0.000 |
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 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".