Effects of a Cyanobacterial Toxin on Trematode Cercariae
Bibliographic record
Abstract
Eutrophication of aquatic habitats has become a global problem, with implications for host–parasite dynamics. Blooms of certain cyanobacteria are associated with cyanotoxins, particularly microcystins such as microcystin-LR (MC-LR). These potent toxins have been shown to adversely affect freshwater fauna and can increase host susceptibility to parasite infection. However, to understand how cyanotoxins influence infection outcomes in nature, it is necessary to investigate whether free-living parasite infectious stages, such as that of trematode cercariae, are also affected given their demonstrated sensitivity to various contaminants. Here we examined the effects of environmentally relevant levels of MC-LR representing relatively high (82 µg/L) and low (11 µg/L) concentrations on the activity and survival of four different types of cercariae (Echinostoma sp., Cephalogonimus sp., Alaria sp., and an unidentified strigeid type) over 24 hr. Exposure to MC-LR did not affect the activity of any cercarial type, nor was survival reduced. In fact, the strigeid-type cercariae had significantly increased longevity if exposed to either MC-LR solution, with the greatest longevity in the highest concentration. Our results indicate that MC-LR may have opposing effects on aquatic parasites and their hosts, potentially increasing host susceptibility but having a neutral or positive effect on motile infectious stages such as cercariae. Cyanobacterial blooms could thus enhance trematode transmission; however, the effects of other cyanotoxins must be studied, as well as a broader range of host and parasite species.
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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".