Continued reassortment of avian H6 influenza viruses from Southern China, 2014–2016
Bibliographic record
Abstract
H6 subtype avian influenza virus (AIV) was prevalent in poultry and could sporadically infect humans. Here, a total of 196 novel H6 AIVs isolated from poultry in eight provinces of China from 2014 to 2016 were phylogenetically characterized. Our analysis revealed that they could be divided into two clades in the Asian H6 HA lineage, A/wild duck/Shantou/2853/2003(H6N2) (ST2853-like) (85.7%) and A/duck/Shantou/339/2000(H6N2) (ST339-like) (14.3%), in which ST2853-like strains predominate. These novel strains belonged to the H6N6 (n = 165, 84.2%), H6N2 (n = 30, 15.3%), and H6N3 (n = 1, 0.51%) subtypes, which could be classified into 36 genotypes including 12 novel genotypes described in this study. In particular, several strains possessed the V190 and S228 mutations in HA (H3 numbering), which is critical for human receptor binding and identical to the human-derived strain A/Taiwan/2/2013(H6N1). Furthermore, 10.3% of the H6N6 isolates possessed the N6-∆11b (59-69) deletion. In summary, we describe phylogenetic and molecular characterizations of H6 AIVs in southern China and highlight the constant prevalence of H6 AIVs in poultry as well as adaptation to mammalian hosts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".