A mutant of Asia 1 serotype of <i>Foot-and-mouth disease virus</i> with the deletion of an important antigenic epitope in the 3A protein
Bibliographic record
Abstract
Foot-and-mouth disease is a highly contagious viral disease of cloven-hoofed animals. The availability of a vaccine for differentiating infected from vaccinated animals (DIVA) is crucial for the control and eradication of Foot-and-mouth disease virus (FMDV). Because traditional inactivated vaccines may contain trace nonstructural proteins interfering with the DIVA, we hypothesized that mutant FMDV with deletion of immunodominant epitopes may be valuable. Our previous study has generated a full-length cDNA clone (pBSAs) of FMDV serotype Asia 1 isolated in China. In this study, a B-cell epitope was identified in the 3A region of a nonstructural protein (NSP) by anti-FMDV cattle sera. Furthermore, we generated recombinant FMDV (rvAs-3A14D) by selectively deleting 14 amino acids (position 91-104) in the 3A region of the NSP. Following in vitro transcription and transfection in BHK-21 cells, we successfully rescued the rvAs-3A14D from BHK-21 cells. Characterization of the rvAs-3A14D revealed that the infectivity, antigenicity, and replication kinetics in BHK-21 cells and virulence in mice of the rvAs-3A14D were similar to that of its parent virus. Notably, the mutant rvAs-3A14D only replicated well in BHK-21 but did poorly in primary calf kidney cells. These data suggest that the recombinant FMDV with deletion of this epitope in the NSP may be potentially used as a candidate inactivated vaccine. Therefore, the application of the marker vaccine and differential diagnostic tests may open a promising new avenue for the development of a vaccine for DIVA.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".