Identification of P-type plasma membrane H+-ATPases in common wheat and characterization of TaHA7 associated with seed dormancy and germination
Bibliographic record
Abstract
The P-type plasma membrane (PM) H+-ATPases (HAs) are central to plant development, growth, and defense. The HAs are thoroughly characterized in diverse plants. However, despite their importance, the functions of Has in germination and seed dormancy (SD) have not been validated in wheat. Here, we identified 28 TaHA genes (TaHA1-28) in common wheat, which were divided into five subfamilies. Examination of gene expression in strong- and weak-SD wheat varieties led to the discovery of six candidate genes (TaHA7/-12/-14/-16/-18/-20). Based on a single nucleotide polymorphism (SNP) mutation (C/T) in the TaHA7 coding region, a CAPS marker (HA7) was developed and validated in 168 wheat varieties and 171 Chinese mini-core collections exhibiting diverse germination and SD phenotypes. We further verified the roles of the two allelic variations of TaHA7 in germination and SD using wheat mutants mutagenized with ethyl methane sulphonate (EMS) in ‘Jimai 22’ and ‘Jing 411’ backgrounds, and in transgenic Arabidopsis lines. TaHA7 appears to regulate germination and SD by mediating GA and ABA signaling, metabolism, and biosynthesis. The results presented here will be beneficial for future research regarding TaHAs in wheat.
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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 | 0.001 | 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) | 0.000 | 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".