Comparative Analysis of Alternative Splicing Events in Foliar Transcriptomes of Potato Plants Inoculated with <i>Phytophthora Infestans</i>
Bibliographic record
Abstract
Alternative splicing (AS) is a common process during gene expression of plants in coping various biotic or abiotic stresses. The work reports identification and analysis of AS events in foliar samples of two potato lines, including a wild type line and a pathogen resistant transgenic line (+RB), inoculated with Phytophthora infestans . After combining all RNA-seq data collected from 36 samples, a total of 10,246 AS events were identified, including 1,563 exon skipping, 1,368 alternative donor sites, 3,091 alternative acceptor sites, 884 intron retention, and 3,340 complex events, which consisted of more than one basic event. These AS events were generated from 45,874 isoform transcripts expressed from 13,704 genes. It was estimated 30.2% of genes undergoing AS in this analysis. Furthermore, we identified 406 specific AS events, which were generated from 281 genes, and 766 differentially expressed transcripts (DETs) in the sample collected 24 hours after inoculation of P. infestans in +RB lines. These DETs were expressed from 763 genes, and among them, 338 genes were alternatively spliced. These results indicate that both AS and differential gene expression may contribute to the resistance against P. infestans in +RB line of potato plants.
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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".