Whole genome molecular characterization of Infectious Pancreatic Necrosis Viruses isolated in Turkey
Bibliographic record
Abstract
Infectious pancreatic necrosis virus (IPNV; Birnaviridae, Aquabirnavirus) causes infectious pancreatic necrosis (IPN) in fish. IPN disease was first found in 2002 in Turkey. In this study, 10 IPNV isolates were isolated between 2005 and 2013 and propagated in RTG-2 cell cultures. RNAs obtained from cell lysates were used as template and VP1, VP2, VP3, VP4 and VP5 genes of the virus were amplified in full length. Sequence analyses of the genes were made. The obtained sequences were compared with international reference strains from GenBank and phylogenetic analyses and genogrouping of the viruses were conducted. Turkish isolates were found to show a genetic similarity of between 93.5% and 99.8% in terms of molecules. When segment A sequences were compared with each other, a similarity between 97.8% and 99.8% was found; when they were compared with international reference strains, they were found to have the highest similarity (99.3%) with France AJ622822 isolate and the lowest (65.7%) similarity with Canada NC001915 isolate. When segment B sequences of the isolates were compared with each other, a similarity between 93.5% and 99.5% was found; when they were compared with international reference strains, they were found to have the highest similarity (98.9%) with Canada M58757 isolate and the lowest (52.7%) similarity with Finland KY548519 strain. As a result of phylogenetic analyses conducted, Turkish isolates were found to be closely related with France, Spain and Iran strains in serotype A2 and genogroup 5 they were placed in.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".