Chronic hypoxia induces alternative splicing of transcripts in the goldfish brain
Bibliographic record
Abstract
Abstract Several species evolved mechanisms to tolerate periods of severe environmental hypoxia and anoxia. Among them, goldfish are unique as they do not enter a comatose state under such conditions. Taking advantage of the recently published and annotated goldfish genome, we had previously profiled the transcriptomic response of the goldfish brain under normoxic (21 kPa oxygen saturation, N) and hypoxic conditions (2.1 kPa oxygen saturation) after 1 and 4 weeks (1WH, 4WH). Using the RNA-Seq data, we report the occurrence of alternative mRNA splicing (skipped exon, retained intron, alternative 3’ or 5’ splice sites, and mutually exclusive exons). At 1WH/N, 1004 significant alternative splicing events on 769 gene loci were identified, increasing to 1187 on 963 loci at 4WH/N. There were 305 loci with alternatively spliced transcripts common to both 1WH/N and 4WH/N, 221 of which exhibited the same precise location and splicing mechanism. Specific gene transcripts affected by alternative splicing events were almost entirely different from previously identified differentially expressed genes under chronic hypoxia. GO-term enrichment analyses of gene loci of alternatively spliced transcripts, however, did include similar pathways as previously identified for DEGs. These include epigenetic machinery, ion channel activity (1WH/N), glutamate signalling (4WH/N), endothelial cell function and ATP hydrolyzation pathways (1WH/N + 4WH/N). We describe selected examples of alternatively spliced transcripts to discuss possible functional relevance in the goldfish brain response to chronic hypoxia. Together, our data identified an additional layer of regulation in brain pathways relevant to hypoxia tolerance in goldfish, which complement previously reported gene expression changes.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".