Genetic evolutionary analysis of a strain of Senecavirus A in Anhui and the establishment of its detection method
Bibliographic record
Abstract
BACKGROUND: Senecavirus A (SVA) is the only member of the genus Senecavirus in the family Picornaviridae, and is one of the pathogens of porcine blistering disease. SVA has been reported in the United States, Canada, China, Thailand, and Colombia. METHODS: In this study, positive SVA infection was detected by RT-PCR in sick materials collected from pig farms of different sizes in Anhui Province. RESULTS: In this study, a virulent strain of SVA was successfully obtained by viral isolation on BHK21 cells and named SVA-CH-AHAU-1. Meanwhile, a simple, rapid and accurate nano-PCR method for the detection of SVA infection was established in this study, using the recombinant plasmid pClone-SVA-3D as a template. CONCLUSIONS: The complete genome of SVA-CH-AHAU-1 is 7286 bp, including a 5' non-coding region (UTR), an open reading frame (ORF) of 6546 nucleotides, encoding 2182 amino acids (aa), and a 3' UTR with Poly(A) features, and phylogenetic analysis showed that this isolate had the highest nucleotide homology (97.9 %) with the US isolate US-15-41901SD. In this study, the virulent strain SVA-CH-AHAU-1 was found to recombine in the ORF region with isolates SVA-CH-SDGT-2017 and SVA/Canada/ON/FMA-2015-0024 T2/2015. The complete genome has been submitted to GeneBank with the accession number OM654411. In addition, our results suggest that the established nano-PCR assay can be used as an economical, reliable and sensitive method for the field diagnosis of SVA method, especially in resource-limited areas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".