Identification, Characterization and Functional Analysis of AGAMOUS Subfamily Genes Associated with Floral Organs and Seed Development in Marigold (Tagetes erecta)
Bibliographic record
Abstract
Abstract Background: AGAMOUS (AG) subfamily genes regulate the floral organs initiation and development, fruit and seed development. At present, there has been insufficient study to explain the function of the AG subfamily genes in Asteraceae. Marigold (Tagetes erecta), belonging to Asteraceae family, has become an important research target for understanding floral organ development in plants.Results: Four AG subfamily genes of marigold were isolated and phylogenetically grouped into C class (TeAG1 and TeAG2) and D class (TeAGL11-1 and TeAGL11-2) genes according to the ABCDE flower organ development model. And these four genes were highly expressed in reproductive organs of marigold. Subcellular localization analysis suggested that all the four proteins were located in the nucleus. Protein-protein interactions analysis indicated that C class proteins had a wider interaction manner than D class proteins. Function analysis by ectopic expression in Arabidopsis revealed that TeAG1 and TeAGL11-1 displayed a C function specifying the stamen identity and carpel identity, and a D function regulating seed development and petal development, respectively. In addition, overexpression of TeAG1 or TeAGL11-1 also leaded to curling rosette leaf and early flowering in Arabidopsis.Conclusions: Our results provide molecular mechanism of AG subfamily genes for the development of stamens, pistils and ovules in Asteraceae, and technical support for the subsequent manipulate of several floral traits.
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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".