Molecular characterization of pathogenic and nonpathogenic fowl aviadenovirus serotype 11 isolates
Bibliographic record
Abstract
Fowl aviadenoviruses, many of which are of importance in veterinary medicine, are classified into 5 species. In this study, a pathogenic isolate and a nonpathogenic isolate of fowl aviadenovirus serotype 11 (FAdV-11) of species Fowl aviadenovirus D were characterized. Growth rates were analyzed for the 2 isolates, showing notable differences. The complete genomic sequences of the viruses were fully determined and were analyzed. The genomes of the 2 isolates showed 98.1% sequence identity and revealed 6 nonsynonymous mutations between the Ontario isolates. Two of the 6 mutations were also found in the sequences of recently published pathogenic Chinese fowl aviadenovirus 11 isolates, suggesting potential molecular markers that could be associated with pathogenesis. Deletions were found in the L5 region within the overlapping coding sequences for the 100, 22, and 33 kDa proteins, and these were found in only the nonpathogenic isolates. This molecular pattern was identified in FAdV-9, another nonpathogenic FAdV-D species virus. Furthermore, the tandem repeat regions varied dramatically; the pathogenic isolates contained a reduced number of tandem repeats compared with the nonpathogenic isolates. Lastly, a protein produced early in infection was analyzed using bioinformatics to determine its role in disease. This study highlights several candidate molecular determinants of avian adenovirus genomes related to pathogenicity.
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 | 0.000 |
| 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 | 0.000 |
| 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".