OsERF2 Acts as a Direct Downstream Target of OsEIL1 to Negatively Regulate Salt Tolerance in Rice
Bibliographic record
Abstract
Salinity is a significant limiting factor that adversely affects plant growth, distribution and crop yield. Ethylene responsive factors play crucial roles in plant responses to and tolerance of various abiotic stresses. Recently, we revealed that OsERF2 is involved in root growth by transcriptionally regulating hormone and sugar signaling in rice. Here, we report that OsERF2 is a direct target gene of OsEIL1 and negatively regulates salt tolerance in rice. Compared to the wild type, the gain-of-function mutant of OsERF2 (nsf2857) and the knockdown of OsERF2 via an artificial microRNA (Ami-ERF2) exhibited decreased and increased salt tolerance, respectively. The enhanced salt tolerance observed in Ami-OsERF2 lines was associated with lower accumulations of malondialdehyde and reactive oxygen species (ROS) under salt stress, while the opposite was true for nsf2857 plants, which exhibited decreased salt tolerance. At the transcriptional level, several stress-related genes encoding ROS and NAD(P)H-related oxidoreductases were downregulated in nsf2857 plants but upregulated in Ami-ERF2 plants. Furthermore, yeast one-hybrid and ChIP assays revealed that OsEIL1 can bind to the of EBS cis element present in the promoter of OsERF2 (-bp), suggesting that OsEIL1 may directly regulate the expression of OsERF2. Collectively, our findings indicate that OsERF2 is a direct downstream factor involved in the regulation of salt tolerance in rice, highlighting its potential application in the genetic improvement of tolerance to abiotic stresses in this crop.
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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 | 0.000 |
| 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".