First detection of <i>Cyclopterus lumpus</i> virus in England, following a mortality event in farmed cleaner fish
Bibliographic record
Abstract
Lumpfish are used routinely as cleaner fish to delouse farmed Atlantic salmon (Salmo salar) and are often translocated globally. In September 2021, an aquaculture production business in Dorset, England experienced considerable mortalities in consignments of lumpfish (Cyclopterus lumpus) imported from Norway. Following suspicion of infection with Cyclopterus lumpus virus (CLuV) by a veterinarian, commercial testing provided presumptive confirmation of a CLuV infection using reverse-transcription real-time polymerase chain reaction (RT-rPCR). Affected fish were later resampled by the Centre of Environment, Fisheries, and Aquaculture Science, Fish Health Inspectorate for screening of CLuV by RT-rPCR, and confirmation by conventional RT-PCR and sequence analysis. Additional samples were tested using isolation of viruses on cell cultures, bacteriology, histopathology, and PCR/rPCR techniques to investigate whether other pathogens of concern to the salmon aquaculture industry were also present. All samples tested negative for the presence of viral haemorrhagic septicaemia virus, infectious haematopoietic necrosis virus , nervous necrosis virus, infectious pancreatic necrosis virus , infectious salmon anaemia virus , ranavirus, and salmonid alphavirus. Four pools of ten samples tested positive by RT-rPCR for CLuV (Ct values between 19 and 29) and was confirmed using conventional RT-PCR. Sequence analysis showed that amplicons shared a 99.63 % match with the published sequences for CLuV. The CLuV has only recently been reported in aquatic animals and its full impact is not yet known. To the best of our knowledge this is the first report of CLuV in England.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".