ICE‐SCREAM comes in different flavors: Angiosperms encode two types of ICE proteins predicted to differ in their regulation by OST1 and MPK3/6
Bibliographic record
Abstract
Abstract INDUCER OF CBF EXPRESSION (ICE) proteins reportedly have a role in cold acclimation and stomata development, but the former has recently been questioned. Our aim was to analyze ICE, OPEN STOMATA 1 (OST1) and MITOGEN ACTIVATED PROTEIN KINASE 3/6 (MPK3/6) protein data and place the results in context with reports in the literature. Orthologous protein sequences from species representative of different plant lineages were retrieved via BLAST searches and assembled into multiple sequence alignments for a comprehensive comparison of key features. We identified one type of ICE protein in bryophytes, lycophytes, ferns and angiosperms, and a second type of ICE protein in angiosperms only, each with characteristic interaction domains. Due to the higher observed similarity of the identified orthologs to proteins from Vitis riparia than to those from Arabidopsis, they were referred to as VrICE2L and VrICE4L, respectively. Regulatory sequence motifs for the kinase OST1 were present in the VrICE2L proteins although less conserved in the non‐angiosperms, whereas OST1 orthologs could be identified in all plant species, including algae. Interestingly, MPK3/6 motifs were most clearly conserved in the VrICE2L and VrICE4L proteins of the more evolved angiosperms, at a time that the A subtype of MPK3/6 kinases and the CRT‐BINDING FACTOR (CBF)‐encoding genes first appeared in the plant lineages. These data are intended to stimulate further investigations of VrICE4L proteins in non‐model plants and provide some evolutionary context into the overlap between stomatal function and regulation, and the cold acclimation pathway.
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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) | 0.002 | 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".