Changes in Alternative Splicing in Response to Domestication and Polyploidization in Wheat
Bibliographic record
Abstract
Alternative splicing (AS) occurs extensively in eukaryotes as an important mechanism for regulating transcriptome complexity and proteome diversity, but variation in the AS landscape in response to domestication and polyploidization in crops is unclear. Hexaploid wheat (AABBDD, Triticum aestivum) has undergone two separate allopolyploidization events, providing an ideal model for studying AS changes during domestication and polyploidization events. In this study, we performed high-throughput transcriptome sequencing of roots and leaves from wheat species with varied ploidies, including wild diploids (AbAb, Triticum boeoticum) and tetraploids (AABB, Triticum dicoccoides), domesticated diploids (AmAm, Triticum monococcum) and tetraploids (AABB, Triticum dicoccum), hexaploid wheat (AABBDD, T. aestivum), as well as newly synthesized hexaploids together with their parents. Approximately 22.1% of genes exhibited AS, with the major AS type being intron retention. The number of AS events decreased after domestication in both diploids and tetraploids. Moreover, the frequency of AS occurrence tended to decrease after polyploidization, consistent with the functional sharing model that proposes AS and duplicated genes are complementary in regulating transcriptome plasticity in polyploid crops. In addition, the subgenomes exhibited biased AS responses to polyploidization, and ∼87.1% of homeologs showed AS partitioning in hexaploid wheat. Interestingly, substitution of the D-subgenome modified 42.8% of AS patterns of the A- and B-subgenomes, indicating subgenome interplay reprograms AS profiles at a genome-wide level, although the causal–consequence relationship requires further study. Conclusively, our study shows that AS variation occurs extensively after polyploidization and domestication in wheat species.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".