Deciphering the Role of <i>SVP</i>‐<i>Like</i> Genes and Their Key Regulation Networks During Reproductive Cone Development in <i>Pinus tabuliformis</i>
Bibliographic record
Abstract
Reproductive development plays an essential role in the perpetuation of genetic material and environmental adaptation. In angiosperms, the Short Vegetative Phase (SVP) serves as a flowering repressor, influencing the development of floral organs. In this study, heterologous transformation of Arabidopsis thaliana with SVP-like genes (PtSVL1 and PtSVL2) derived from Pinus tabuliformis significantly impacted stamen formation and pollen fertility, without altering flowering time. Gene co-expression networks revealed that SVP-like and SOC1-like genes function as key coregulatory transcription factors during the initial stages of cone development in P. tabuliformis. Interestingly, the regulatory module of SOC1 regulated by SVP in angiosperms is absent in conifers and conifer SVP-like exercises its function in a form that is physically bound to SOC1-like. Furthermore, combining the yeast one-hybrid scanning with co-expression network analysis, revealed that SPLs and TPSs were the principal downstream target genes of PtSVL1. Notably, the PtSPL16 promoter is positively regulated by PtSVL1, and overexpression of PtSPL16 results in delayed flowering in Arabidopsis, suggesting that the PtSVL1-PtSPL16 module plays a crucial role in regulating reproductive development in conifers. Collectively, these findings enhance our understanding of the roles of SVP-like genes in conifers and the key regulatory networks centred on PtSVL1 during reproductive cone 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 | 0.000 |
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".