Fish louse<i>Argulus funduli</i>(Crustacea: Branchiura) ectoparasites of the euryhaline teleost host,<i>Fundulus heteroclitus</i>, damage the ion-transport capacity of the opercular epithelium
Bibliographic record
Abstract
Killifish ( Fundulus heteroclitus (L., 1766)) collected in the wild and kept in full-strength seawater were naturally parasitized by the ectoparasite Argulus funduli Krøyer, 1863, a copepod fish louse that creates inflamed skin lesions on the opercular epithelium and host gills. We assessed the damage done by lesions by counting the density of mitochondria-rich cells by fluorescence microscopy and by measuring Cl–secretion rate electrophysiologically using control (no lesions) and affected isolated opercular epithelia, often as paired left and right membranes from a single fish. Epithelia with lesions had a significantly reduced Cl–secretion rate, and in the lesions, the density of chloride cells was near zero. Contralateral membranes without lesions from infested fish had transport rates not significantly different from membranes taken from uninfected control animals, indicating no overcompensation on the contralateral membranes. Healthy control and infested animals were transferred to hypersaline conditions (twice seawater). Infested and control animals all survived transfer and had elevated plasma Na+and plasma osmolality. Infested animals failed to significantly elevate Imto the same level as healthy animals and there was a difference in hematocrit. Happily, the hypersaline challenge also resulted in detachment and death of adult A. funduli. We conclude that Argulus lesions impair salt transport in affected membranes but do not significantly affect survival on hypersaline challenge, and that hypersaline exposure is a successful treatment for A. funduli infestation in these strongly euryhaline teleosts.
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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".