Primary Structure of the Sialodacryoadenitis Virus Genome: Sequence of the Structural-Protein Region and Its Application for Differential Diagnosis
Bibliographic record
Abstract
Sialodacryoadenitis virus (SDAV) is a coronavirus that is commonly found in laboratory rats and that causes sialodacryoadenitis and respiratory illness. We cloned and sequenced the 3' terminal 9.8 kb of the genomic RNA and analyzed the structure of the viral genome. As with mouse hepatitis coronaviruses (MHVs), the SDAV genome was able to code for a spike protein, a small membrane protein, a membrane-associated protein, and a nucleocapsid protein. In addition, the hemagglutinin-esterase gene capable of encoding a protein of 439 amino acids (aa) was identified. The putative functional site for acetylesterase activity was present in the HE protein as Phe-Gly-Asp-Ser (FGDS), suggesting that the SDAV HE protein might have retained the esterase activity. Immediately upstream of the HE gene and downstream of the polymerase 1b gene, the NS2 nonstructural-protein gene was identified with a coding capacity of 274 aa. A motif of UCUAAAC was identified as a potential transcription signal for subgenomic mRNA synthesis. Large insertions of 172, 127, and 44 aa were detected in the N-terminal half of the predicted S protein of SDAV when its sequence was compared to the sequences of MHV 2, MHV JHM, and MHV A59, respectively. The sequence information on the SDAV S-protein gene was applied to a differential diagnostic PCR to detect and distinguish the rat coronavirus from mouse coronaviruses. This is the first report on the comprehensive genetic information of any rat coronavirus.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".