Expression analysis of histone acetyltransferases in rice under drought stress
Bibliographic record
Abstract
Histone acetylation is one of the vital reversible modifications of chromatin structure that regulates gene expression in eukaryotes. Histone acetyltransferases (HATs) and histone deacetylases (HDACs) maintain the homeostasis of histone acetylation. Studies in Arabidopsis have revealed that HATs are involved in plant responses to various stresses including light, temperature, salt and ABA. Drought stress, a very common environmental stress, could cause a range of physiological and biochemical responses in plants involving HATs. Eight HATs in four different families (CBP, GNAT, MYST, and TAF(II)250 family) are known in rice. In this research, four OsHATs, one from each family, were chosen based on in silico domain and promoter analysis for their response under drought conditions. Drought stress was introduced to two-leaf-stage rice seedlings. The effectiveness of drought treatment was confirmed by the measurement of relative water content (RWC). Real-time quantitative polymerase chain reaction analysis demonstrated that drought stress caused a significant increase in the expression of four HATs (OsHAC703, OsHAG703, OsHAF701 and OsHAM701) in rice plants. Additionally, the Western-blot analysis showed that the acetylation level on certain lysine sites of H3 (lysine 9, lysine 18 and lysine 27) and H4 (lysine 5) increased with OsHATs expression. The significant increase in the transcript levels of OsHATs and the acetylation level of lysine residues on Histone H3 and H4 suggest that OsHATs are involved in drought stress responses in rice.
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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".