Histone Deacetylase AtHDA7 Is Required for Female Gametophyte and Embryo Development in Arabidopsis
Bibliographic record
Abstract
Histone modifications are involved in the regulation of many processes in eukaryotic development. In this work, we provide evidence that AtHDA7, a HISTONE DEACETYLASE (HDAC) of the Reduced Potassium Dependency3 (RPD3) superfamily, is crucial for female gametophyte development and embryogenesis in Arabidopsis (Arabidopsis thaliana). Silencing of AtHDA7 causes degeneration of micropylar nuclei at the stage of four-nucleate embryo sac and delay in the progression of embryo development, thereby bringing the seed set down in the Athda7-2 mutant. Furthermore, AtHDA7 down- and up-regulation lead to a delay of growth in postgermination and later developmental stages. The Athda7-2 mutation that induces histone hyperacetylation significantly increases the transcription of other HDACs (AtHDA6 and AtHDA9). Moreover, silencing of AtHDA7 affects the expression of ARABIDOPSIS HOMOLOG OF SEPARASE (AtAESP), previously demonstrated to be involved in female gametophyte and embryo development. However, chromatin immunoprecipitation analysis with acetylated H3 antibody provided evidence that the acetylation levels of H3 at AtAESP and HDACs does not change in the mutant. Further investigations are essential to ascertain the mechanism by which AtHDA7 affects female gametophyte and embryo development.
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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 | 0.001 |
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".