Genetic Variability of the G Glycoprotein Gene of Human Metapneumovirus
Bibliographic record
Abstract
Human metapneumovirus (hMPV) has been associated with respiratory illnesses like those caused by human respiratory syncytial virus (HRSV) infection. Similar to other pneumoviruses, genetic diversity has been reported for hMPV. Little information is currently available on the genetic variability of the G glycoprotein (G), which is the most variable gene in RSV and avian pneumovirus. The complete nucleotide sequences of the G open reading frame (ORF) of 24 Canadian hMPV isolates were determined. Phylogenetic analysis showed the existence of two major groups or clusters (1 and 2). All but one of the hMPV isolates that we examined belonged to cluster 1. Additional genetic variability was observed in cluster 1, which separated into two genetic subclusters. Within cluster 1 the nucleotide sequence identity for the G ORF was 74.2 to 100%, and the identity for the predicted amino acid sequence was 61.4 to 100%. The G genes of cluster 1 isolates were more divergent from the cluster 2 isolates, with 45.6 to 50.5% and 34.2 to 37.2% identity levels for the nucleotide and amino acid sequences, respectively. Sequence analysis also revealed changes in stop codon usage, resulting in G proteins of different lengths (217, 219, 228, and 236 residues). Western blot analysis with the use of hMPV-specific polyclonal antisera to each hMPV cluster showed significant antigenic divergence between the G proteins of clusters 1 and 2. These results suggest that the G protein of hMPV is continuously evolving and that the genetic diversity observed for the hMPV genes is reflected in the antigenic variability, similar to HRSV.
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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 | 0.000 | 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 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".