Intermediary metabolism in mudskippers,<i>Periophthalmodon schlosseri</i>and<i>Boleophthalmus boddarti</i>, during immersion or emersion
Bibliographic record
Abstract
This study aimed to examine effects of 48 h emersion on intermediary metabolism in the mudskippers Periophthalmodon schlosseri (Pallas, 1770) and Boleophthalmus boddarti (Pallas, 1770). The glycogen content increased significantly, while the lactate content remained unchanged, in the muscle of P. schlosseri during 48 h of emersion. Thus, emersion led to either a decrease in glycogen utilization or an increase in glycogen synthesis. Because there was no change in energy charge, P. schlosseri probably used energy stores other than glycogen during emersion. The phosphofructose kinase-1 (PFK) from the muscle of P. schlosseri became more sensitive to ATP inhibition after 6 h of emersion, indicating that a transient decrease in the glycolytic flux indeed occurred at this locus that led to an increase in glycogen content. In contrast, such phenomena were not observed in the muscle of B. boddarti during 48 h of emersion. Emersion also led to a significant increase in the muscle fructose-2,6-bisphosphate (F26P2) content in P. schlosseri, but not in B. boddarti. Based on results obtained from P. schlosseri undergoing forced exercise, we propose that a correlation may exist between the F26P2content and the utilization of amino acids as an energy source in this mudskipper during emersion.
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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 | 0.001 |
| 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".