Transcriptome dynamics and allele-specific regulation underlie wheat heterosis at the anthesis and grain-filling stages
Bibliographic record
Abstract
BACKGROUND: As wheat is a globally important staple crop, the molecular regulatory network underlying heterosis in wheat remains incompletely understood. The flag leaf is the primary source of photoassimilates during grain filling and plays a crucial role in yield formation. However, the genetic mechanisms linking flag leaf development to heterosis are still unclear. RESULTS: Transcriptomic analysis revealed dynamic transcriptional reprogramming during the anthesis to grain-filling transition, with a pronounced expression bias toward superior parental alleles in hybrids. Anthesis-stage non-additive dominance and grain-filling-stage additive enhancement synergistically orchestrated the temporal regulatory shift underlying heterosis. The dominant alleles from the superior parent accounted for more than 60% of the non-additive genes, and the superior parent bias in allele-specific expression ratios progressively increased during development. This highlighted the role of the superior parent as an allelic reservoir. Cis-regulatory variations primarily contributed to additive effects, whereas cis×trans interactions were the primary regulatory driver of positive overdominance. Notably, weighted co-expression network analysis identified HSP90.2-B as a putative heterosis-related gene, whose coordinated overexpression with AP2/ERF transcription factors provides valuable insights for elucidating the molecular basis of yield heterosis. CONCLUSIONS: This study establishes two complementary models to decode the molecular regulation of heterosis in wheat. The "dual-engine" model demonstrates stage-specific gene expression patterns: non-additive effects predominantly drive early growth vigor during the anthesis stage, whereas additive expression patterns stabilize grain development and yield-related traits at the grain-filling stage. The "two-phase regulatory shift" model captures the dynamic temporal progression of heterotic regulation, evolving from trans-regulation-driven plastic responses at the anthesis stage to cis-regulation-mediated homeostatic control at the grain-filling stage. Importantly, the preferential coupling between cis-regulation/additive and trans-regulation/non-additive expression provides molecular evidence supporting the complementary nature of the models. We further identified developmentally specific modules (the anthesis-stage Red module and grain-filling-stage Brown module) with their core regulatory networks through weighted gene co-expression network analysis. These findings preliminarily characterize the multi-layered cooperative networks regulating heterosis development, potentially offering valuable theoretical clues for deciphering the molecular mechanisms underlying wheat heterosis.
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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".