Stress and Interpopulation Variation in Glycolytic Enzyme Activity and Expression in a Teleost Fish<i>Fundulus heteroclitus</i>
Bibliographic record
Abstract
Northern populations of Fundulus heteroclitus have twofold greater activity of lactate dehydrogenase-B (LDH-B) than southern populations, but exposure to stress increases LDH-B in southern populations, abolishing this difference. To test whether differences in the activity of other hepatic glycolytic enzymes between populations are sensitive to stress, we injected fish with a pharmacological dose of cortisol in coconut oil (400 microg g(-1)) or exposed them to handling stress and measured the activities of all the glycolytic enzymes. At rest, liver phosphofructokinase (PFK) and aldolase (ALD) activities were greater in southern fish, whereas LDH-B activity was greater in northern fish. No other glycolytic enzymes differed in activity between populations in control fish. Cortisol injection and handling stress decreased PFK and ALD and increased LDH activities in the southern but not the northern population, such that the populations no longer differed in the activity of any enzyme following treatment. Unlike Ldh-B mRNA, Pfk and Ald mRNA levels did not parallel enzyme activity, suggesting complex kinetics or regulation at multiple levels. Plasma cortisol did not differ between populations at rest but was significantly different between populations in treated fish. These data suggest that differences in liver enzyme activity may be related to differences in stress hormone physiology between populations.
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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".