Alterations to cellular metabolism are linked to multiple natural parasite infections across populations of a freshwater fish
Bibliographic record
Abstract
Abstract Exposure to environmental stressors can induce physiological responses in organisms, which can lead to population-level differences in physiological traits. However, the mechanisms underlying these responses both within individuals and among populations are often unknown. Parasite infections, in particular, are important biotic stressors that can induce a range of effects in hosts, including altered whole-organism metabolism. However, few studies have explored sub-cellular alterations to metabolic performance across both an individual infection gradient and population-level differences in infection prevalence. We compared mitochondrial enzyme activities across five distinct populations of pumpkinseed sunfish ( Lepomis gibbosus ) differing in the prevalence of cestode and trematode parasites. Overall, we found that enzymes from the OXPHOS pathway (cytochrome c oxidase, NADH dehydrogenase and coenzyme Q : cytochrome c oxidoreductase), the anaerobic pathway (lactate dehydrogenase), the TCA cycle (citrate synthase) and lipid metabolism (carnitine palmitoyl transferase) were positively correlated with parasite density with trends depending on the organ, parasite species and host population studied. Our results suggest complex and nuanced relationships among infections and host physiological performance and provide strong evidence of parasite-induced alterations to mitochondrial metabolism which may explain previously reported whole-organism responses to infections.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".