Genetic Characterization and Phylogenetic Analysis of Porcine Circovirus Type 2 in Thai Pigs with Porcine Circovirus Associated Diseases (PCVAD) during 2007-2010
Bibliographic record
Abstract
Porcine circovirus type 2 (PCV2) was first recognized as a causative agent of post weaning multisystemicsyndrome or PMWS in Canada in 1991. Subsequently, it has been reported in almost all intensive pig productioncountries, and currently all associated diseases linked to PCV2 are included under the term porcine circovirusassociated diseases or PCVAD. PCV2 can be divided into 2 major genotypes referred to genotype 1 (PCV2b) andgenotype 2 (PCV2a). In Thailand, PMWS was first reported in 1998. However, only one isolate of Thai PCV2 from ourgroup has been submitted to GenBank (AY864814). Therefore, the objective of this study was to determine thegenetic characterizations of 12 ORF2 of PCV2 isolates from Thai pigs with PCVAD during 2007-2010. Twelve ThaiPCV2 sequences were analyzed together with 19 representative ORF2 sequences. Interestingly, all 12 recent ThaiPCV2 sequences belong to genotype 1 consisting of subgroup 1A/B (10/12, 83.33%) and 1C (2/12, 16.67%). Insummary, based on genetic characterization and phylogenetic analysis, a few specific substitution patterns wereobserved in amino acid positions and genotype 1, subgroup 1A/B was predominated in Thai pigs with PCVAD inthis study. More samples are needed to investigate the existence of genotype 2.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".