The <scp>SCOOP</scp>‐MIK2 immune pathway modulates Arabidopsis root growth and development by regulating <scp>PIN</scp>‐<scp>FORMED</scp> abundance and auxin transport
Bibliographic record
Abstract
Plants synthesize hundreds of small secretory peptides, which are perceived by the receptor-like kinase (RLK) family at the cell surface. Various signaling peptide-RLK pairs ensure plant adaptation to distinct environmental conditions. Here, we report that SERINE RICH ENDOGENOUS PEPTIDE (SCOOP) immune peptides modulate root growth and development by regulating PIN-FORMED (PIN)-regulated polar auxin transport in Arabidopsis. The SCOOP4 and SCOOP12 treatments impaired root gravitropic growth, auxin redistribution in response to gravistimulation, and PIN abundance in the PM. Furthermore, genetic and cell biological analyses revealed that these physiological and cellular effects of SCOOP4 and SCOOP12 peptides are mediated by the receptor MALE DISCOVERER1-INTERACTING RECEPTOR LIKE KINASE2 (MIK2) and the downstream mitogen-activated kinase MPK6. Biochemical evidence indicates that MPK6 directly phosphorylates the cytosolic loop of PIN proteins. Our work established a link between the immune signaling peptide SCOOPs and root growth pathways, providing insights into the molecular mechanisms underlying plant root adaptive growth in the defense response.
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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".