Sturgeon nucleo-cytoplasmic large DNA virus phylogeny and PCR tests
Bibliographic record
Abstract
Sturgeon epitheliotropic nucleo-cytoplasmic large DNA viruses (NCLDVs) can cause a lethal disease of the integumentary system. These viruses have not been assigned to any currently recognized family or genus. In this study, phylogenetic analyses using the major capsid protein (MCP) showed that the sturgeon NCLDVs formed a cohesive taxonomic group, could be identified to the species or possibly sub-species level and formed a distinct evolutionary lineage within the Megavirales. The genetic relatedness of the sturgeon virus MCP allowed design of 3 PCR diagnostic tests with analytical specificity (ASp) inclusive of this group of viruses. The conventional PCR test, C1, had broader ASp than the 2 quantitative PCR tests, Q1 and Q2, and was inclusive of the sturgeon viruses as well as some viruses belonging to the families Mimi-, Phycodna-, or Iridoviridae. Q2 had broader specificity than Q1 but both tests recognized the sturgeon NCLDVs and did not cross-react with co-localizing sturgeon herpesviruses. Analytical test performance characteristics evaluated for Q1 and Q2 revealed sensitive assays with observed 50% limits of detection between 3 and 6.25 plasmid copies and high intra- and inter-assay repeatability. Q1 was used to test for sturgeon viruses in endangered populations of lake sturgeon Acipenser fulvescens within the Winnipeg River or Nelson River drainage systems of Manitoba, Canada. Test results indicated that namao virus is endemic in the Nelson River water basin. These tests meet the analytical requirements for diagnostic testing in Canada and are useful tools for disease management in sturgeon conservation stocking programs in North America.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".