Comparison of Penton and Hexon Genes of Fowl Adenovirus Serotype 11 in Molecular Detection of IBH in Broilers.
Bibliographic record
Abstract
(FAdVs) are widely distributed pathogens across the globe. The FAdVs from serotypes FAdV 2, 3, 8a, 8b, 9, and 11 are responsible for inclusion body hepatitis (IBH). Recently, increased mortality and IBH-suspected lesions were observed in 8-10-day-old broiler chickens in West Azerbaijan Province, Iran. In this regard, the present study aimed to compare penton and hexon genes of ADDV11 in the molecular detection of IBH in broiler chickens. In total, 100 liver specimens were collected from 10 suspected farms, and their DNAs were extracted. Two polymerase chain reactions (PCRs) were applied; one targeting the L1 region of the hexon gene and another aiming at the penton gene. Based on the findings, 60% of samples showed positive results in both PCRs and phylogenetic analysis clustered the studied viruses into serotype 11 (species D) FAdV. The detected FAdVs also shared a multitude of homologies with previously published serotype 11 viruses from Iran and those identified in Pakistan, Saudi Arabia, India, China, and Canada. This research not only provides an update on circulating FAdVs in Iran, but also introduces the penton gene as an alternative target for IBH diagnosis. Considering that IBH is a primary disease in Iran with both horizontal and vertical routes of transmission, urgent preventive measures are needed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".