Detection and identification of avian adenovirus in broiler chickens suspected of inclusion body hepatitis in Khuzestan, Iran during 2015-2016
Bibliographic record
Abstract
Avian adenoviruses (AAV) are known as a very diverse group of pathogens causing a variety of clinical symptoms or being totally asymptomatic in poultry flocks. The aim of this study was the molecular detection of avian adenoviruses in broiler flocks suspected of the IBH and respiratory syndrome in the southwest of Iran. For this intent, the liver and lung samples with macroscopic lesions were collected from 30 different poultry flocks (poultry of slaughterhouse and flock mortalities). Subsequently, DNA was extracted from samples and examined using PCR. The L1 (Loop1) region of the hexon gene was amplified. PCR products were sequenced to reveal the identity of the avian adenoviruses. The data resulted from the nucleo tide sequencing were analyzed using programs and services provided by National Center for Biotechnology Information (NCBI). The results showed that the pools of liver samples from a 25 days old flock were positive in the PCR test. Based on the sequence data, adenoviruses belonged to the D genotype of avian adenoviruses. In phylogenetic analysis, FADV isolates were closely related to the FADV-11 isolates of Iran, China, Canada and Australia with nucleotide homology up to 99%. This is the first study on molecular detection and analyzing the nucleotide sequence of hexon gene fragment of FADV in broiler farms in Southwest Iran.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".