Transcriptomic signatures associated with developmental transitions in the gill of lake sturgeon (Acipenser fulvescens)
Bibliographic record
Abstract
The developmental transition from the larval to juvenile stage, represents one of the highest periods of mortality for many species of fish. Thus, understanding the factors that may influence susceptibility to environmental stressors at this vulnerable stage is likely to be important for predicting responses to environmental change. Here, we compared gill mRNA transcript abundance during this critical developmental transition in fish from two geographically distinct populations of lake sturgeon (Acipenser fulvescens) that experience highly divergent thermal environments. Throughout the developmental transition from the larval to juvenile stage (30 to 60 days post-fertilization), the 'colder' northern population exhibited differential expression of approximately twice as many transcripts as compared to their 'warmer' southern counterparts. Transcriptional modifications that were conserved across both populations during the transition from the larva to juvenile stage were involved in histone methylation, protein binding, and apoptotic signaling associated with cell death and turnover. The northern population, specifically, had increased changes associated with GTPase signaling activation, cell surface proteins, mitochondrial and epithelial development which may have contributed to the larger magnitude of transcriptional change in this population, compared to their southern counterparts. Together these findings demonstrate the impacts of transcriptional shifts in the gill during development in lake sturgeon, as well as the potential for population-specific developmental processes.
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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".