OsEIL1 protects rice growth under NH<sub>4</sub><sup>+</sup> nutrition by regulating OsVTC1‐3‐dependent N‐glycosylation and root NH<sub>4</sub><sup>+</sup> efflux
Bibliographic record
Abstract
Abstract Rice is known for its superior adaptation to ammonium (NH4+) as a nitrogen source. Compared to many other cereals, it displays lower NH4+ efflux in roots and higher nitrogen‐use efficiency on NH4+. A critical role for GDP‐mannose pyrophosphorylase (VTC1) in controlling root NH4+ fluxes was previously documented in Arabidopsis, but the molecular pathways involved in regulating VTC1‐dependent NH4+ efflux remain unclear. Here, we report that ETHYLENE‐INSENSITIVE3‐LIKE1 (OsEIL1) acts as a key transcription factor regulating OsVTC1‐3‐dependent NH4+ efflux and protein N‐glycosylation in rice grown under NH4+ nutrition. We show that OsEIL1 in rice plays a contrasting role to Arabidopsis‐homologous ETHYLENE‐INSENSITIVE3 (AtEIN3) and maintains rice growth under NH4+ by stabilizing protein N‐glycosylation and reducing root NH4+ efflux. OsEIL1 constrains NH4+ efflux by activation of OsVTC1‐3, but not OsVTC1‐1 or OsVTC1‐8. OsEIL1 binds directly to the promoter EIN3‐binding site (EBS) of OsVTC1‐3 in vitro and in vivo and acts to increase the transcription of OsVTC1‐3. Our work demonstrates an important link between excessive root NH4+ efflux and OsVTC1‐3‐mediated protein N‐glycosylation in rice grown under NH4+ nutrition and identifies OsEIL1 as a direct genetic regulator of OsVTC1‐3 expression.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".