Prevailing genotype distribution and characteristics of human respiratory syncytial virus in northeastern China
Bibliographic record
Abstract
Although human respiratory syncytial virus (RSV) is one of the most common viruses inducing respiratory tract infections in young children and the elderly, the genotype distribution and characteristics of RSV in northeastern China have not been investigated. Here, we identified 25 RSV-A and 8 RSV-B strains from 80 samples of patients with respiratory infections between February 2015 and May 2015. All 25 RSV-A viruses were classified as the ON1 genotype, which rapidly spread and became the dominant genotype in the world since being identified in Ontario (Canada) in December 2010. All eight RSV-B viruses belonged to the BA genotype with a 60-nucleotide duplication, seven of which formed two new genotypes, BA-CCA and BA-CCB. The remaining RSV-B virus clustered with one of the Hangzhou strains belonging to genotype BA11. Construction of a phylogenetic tree and amino acid substitution analysis showed that Changchun ON1 viruses exclusively constituted Lineages 3, 5 and 6, and contained several unique and newly identified amino acid substitutions, including E224G, R244K, L289I, Y297H, and L298P. Selective pressure was also evaluated, and various N and O-glycosylation sites were predicted. This study provides the first genetic analysis of RSV in northeastern China and may facilitate a better understanding of the evolution of this virus locally and globally. J. Med. Virol. 89:222-233, 2017. © 2016 The Authors. Journal of Medical Virology Published by Wiley Periodicals, Inc.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| 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".