A Rapid Field-Deployable Reverse Transcription-Insulated Isothermal Polymerase Chain Reaction Assay for Sensitive and Specific Detection of Bluetongue Virus
Bibliographic record
Abstract
Bluetongue is a non-contagious, haemorrhagic, Culicoides-borne disease of ruminants. The causative agent, bluetongue virus (BTV), is a member of the Orbivirus genus of the Reoviridae family. So far, 26 BTV serotypes have been identified worldwide. The global distribution of bluetongue has been expanding, and rapid detection of BTV, preferably in the field, is critical for timely implementation of animal movement restrictions and vector control measures. To date, many laboratory-based, molecular assays for detection of BTV have been developed. These methods require the samples to be shipped to a central laboratory with sophisticated instruments and highly skilled technicians to perform the assays, conduct analyses and interpret the results. Here, we report the development and evaluation of a rapid, portable, user-friendly, pan-BTV reverse transcription-insulated isothermal polymerase chain reaction (RT-iiPCR) assay that can potentially be used in low-resource field conditions. The total length of the assay was <60 min, and at the end of the assay, the results were automatically displayed as '+' or '-' without the need for data interpretation. The RT-iiPCR assay detected 36 BTV isolates and two in vitro transcribed RNA samples representing all 26 BTV serotypes. The assay did not cross-react with other animal viruses tested, including two closely related orbiviruses. The analytical sensitivity of the assay was as low as nine copies of in vitro transcribed double-stranded BTV RNA. Analysis of BTV-infected whole blood samples showed that the BTV RT-iiPCR assay was as sensitive as real-time RT-PCR. The assay can potentially be used for rapid screening of animals for BTV in routine diagnostics and for monitoring bluetongue outbreaks both in ruminants and in Culicoides vectors in the field and in the laboratory.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".