Defence against the Dark Arts: Mechanisms of Resistance among Salmon to the Parasitic Copepod Lepeophtheirus salmonis
Bibliographic record
Abstract
The purpose of this paper is to review the current knowledge of salmonid defence responses to Lepeophtheirus salmonis. The salmon louse L. salmonis is an important pest of economically valuable salmonids in seawater throughout the northern hemisphere. Treatment of salmon lice on cultured salmon often fails in regions where the parasite has developed resistance to commonly used therapeutants. The development of efficacious vaccines is hampered by limited knowledge of parasite antigens that elicit protective immunity and a poor understanding of defence responses mounted by the salmonid host. Infection kinetics indicate a wide range of susceptibilities to L. salmonis among salmon species: juvenile coho and pink salmon are relatively resistant whereas Atlantic and chum salmon are susceptible. Innate resistance is linked to the speed and intensity of local inflammatory reactions at the site of infection. Conversely, susceptibility is related to an absence of these reactions and in Atlantic salmon is mediated in part by hypersecretion by the parasite of prostaglandin E2 and other compounds. Transcriptomic analysis shows that the susceptible salmonid response is characterised by cell stress, tissue remodelling and diminished immunological responsiveness during infection. In contrast, there is evidence of cell motility, somatic growth and immuncompetence among resistant salmon following infection. Future research should apply a combination of genomic, proteomic and immunological studies to better understand defence mechanisms among susceptible and resistant salmonids.
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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".