Ampliseq for Illumina Technology Enables Detailed Molecular Epidemiology of Rabies Lyssaviruses from Infected Formalin-Fixed Paraffin-Embedded Tissues
Bibliographic record
Abstract
Whole genome sequencing of rabies lyssaviruses (RABVs) has enabled the generation of highly detailed phylogenies that reveal viral transmission patterns of disease in reservoir species. Such information is highly important for informing best practices with respect to wildlife rabies control. However, specimens available only as formalin fixed paraffin embedded (FFPE) samples have been recalcitrant to such analyses. Due to the damage inflicted by tissue processing, only relatively short amplicons can be generated by standard RT-PCR methods, making the generation of full-length genome sequences very tedious. While highly parallel shotgun sequencing of total RNA can potentially overcome these challenges, the low percentage of reads representative of the virus may be limiting. Ampliseq technology enables massively multiplex amplification of nucleic acids to produce large numbers of short PCR products. Such a strategy has been applied to the sequencing of entire viral genomes but its use for rabies virus analysis has not been reported previously. This study describes the generation of an Ampliseq for Illumina primer panel, which was designed based on the global sequence diversity of rabies viruses, and which enables efficient viral genome amplification and sequencing of rabies-positive FFPE samples. The subsequent use of such data for detailed phylogenetic analysis of the virus is demonstrated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".