The Arabidopsis Mediator subunit <scp>MED</scp>16 regulates iron homeostasis by associating with <scp>EIN</scp>3/<scp>EIL</scp>1 through subunit <scp>MED</scp>25
Bibliographic record
Abstract
Iron is an essential micronutrient for plants and animals, and plants are a major source of iron for humans. Therefore, understanding the regulation of iron homeostasis in plants is critical. We identified a T-DNA insertion mutant, yellow and sensitive to iron-deficiency 1 (yid1), that was hypersensitive to iron deficiency, containing a reduced amount of iron. YID1 encodes the Arabidopsis Mediator complex subunit MED16. We demonstrated that YID1/MED16 interacted with another subunit, MED25. MED25 played an important role in regulation of iron homeostasis by interacting with EIN3 and EIL1, two transcription factors in ethylene signaling associated with regulation of iron homeostasis. We found that the transcriptome in yid1 and med25 mutants was significantly affected by iron deficiency. In particular, the transcription levels of FIT, IRT1 and FRO2 were reduced in the yid1 and med25 mutants under iron-deficient conditions. The finding that YID1/MED16 and MED25 positively regulate iron homeostasis in Arabidopsis increases our understanding of the complex transcriptional regulation of iron homeostasis in plants.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".