Analysis of synonymous codon usage in spike protein gene of infectious bronchitis virus
Bibliographic record
Abstract
Infectious bronchitis virus (IBV) is responsible for causing respiratory, renal, and urogenital diseases in poultry. IBV infection in poultry leads to high mortality rates in affected flocks and to severe economic losses due to a drop in egg production and a reduced gain in live weight of the broiler birds. IBV-encoded spike protein (S) is the major protective immunogen for the host. Although the functions of the S protein have been well studied, the factors shaping synonymous codon usage bias and nucleotide composition in the S gene have not been reported yet. In the present study, we analyzed the relative synonymous codon usage and effective number of codons (Nc) using the 53 IBV S genes. The major trend in codon usage variation was studied using correspondence analysis. The plot of Nc values against GC3 as well as the correlation between base composition and codon usage bias suggest that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in the S gene. Interestingly, no association of aromaticity, degree of hydrophobicity, and aliphatic index was observed with the codon usage variation in IBV S genes. The study represents a comprehensive analysis of IBV S gene codon usage patterns and provides a basic understanding of the codon usage bias.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".