Extensive changes to alternative splicing patterns following allopolyploidy in natural and resynthesized polyploids
Bibliographic record
Abstract
Polyploidy has been a common process during the evolution of eukaryotes, especially plants, leading to speciation and the evolution of new gene functions. Gene expression levels and patterns can change, and gene silencing can occur in allopolyploids--phenomena sometimes referred to as "transcriptome shock." Alternative splicing (AS) creates multiple mature mRNAs from a single type of precursor mRNA. Here we examined the evolution of AS patterns after polyploidy, with natural and two resynthesized allotetraploid Brassica napus lines, using RT-PCR and sequencing assays of 82 AS events in duplicated gene pairs (homeologs). Comparing the AS patterns between the two homeologs in natural B. napus revealed that many of the gene pairs show different AS patterns, with a few showing variation that was organ specific or induced by abiotic stress treatments. In the resynthesized allotetraploids, 26-30% of the duplicated genes showed changes in AS compared with the parents, including many cases of AS event loss after polyploidy. Parallel losses of many AS events after allopolyploidy were detected in the two independently resynthesized lines. More changes occurred in parallel between the two lines than changes specific to each line. The PASTICCINO gene showed partitioning of two AS events between the two homeologs in the resynthesized allopolyploids. AS changes after allopolyploidy were much more common than homeolog silencing. Our findings indicate that AS patterns can change rapidly after polyploidy, that many genes are affected, and that AS changes are an important component of the transcriptome shock experienced by new allopolyploids.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".