Waterborne zinc alters temporal dynamics of guppy Poecilia reticulata epidermal response to Gyrodactylus turnbulli (Monogenea)
Bibliographic record
Abstract
The present study assessed the histological changes in the epidermis of Poecilia reticulata induced by the combined effects of an ectoparasite Gyrodactylus turnbulli and differing concentrations of waterborne zinc (Zn). Infected guppies were exposed to 0, 15, 30, 60, or 120 µg Zn l-1 and monitored over 3 wk during the exponential increase in parasite numbers on the fish. The fish epidermis responded within 3 d to G. turnbulli infection with a rapid increase in epidermal thickness and a modest increase in number, but not size or composition, of mucous cells. In contrast, in the presence of combined waterborne Zn and infection, mucous cell numbers declined rapidly. As the parasite numbers increased, the epidermis remained thicker than normal, and the number and size of mucous cells decreased. The addition of Zn led to a dramatic thickening of the epidermis during the exponential growth of the parasite population. Mucous cell numbers remained depressed. Temporal changes in mucous cell size were Zn concentration dependent. At 60 µg Zn l-1, cells returned to normal size as infection progressed, whereas they remained extremely small at 120 µg Zn l-1. Changes in mucin composition previously reported in response to Zn alone were subdued in the presence of the parasite except at 60 µg Zn l-1, where all cells contained only acidic mucins. Together these results demonstrate that, on exposure to both Zn and G. turnbulli infection, the epidermal response is initially a protective response to both stressors, and then mainly driven by the increased parasite burden.
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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".