Full-length sequences of 11 hepatitis C virus genotype 2 isolates representing five subtypes and six unclassified lineages with unique geographical distributions and genetic variation patterns
Bibliographic record
Abstract
In this study, we characterized full-length hepatitis C virus (HCV) genome sequences for 11 genotype 2 isolates. They were isolated from the sera of 11 patients residing in Canada, of whom four had an African origin. Full-length genomes, each with 18-25 overlapping fragments, were obtained by PCR amplification. Five isolates represent the first complete genomes of subtypes 2d, 2e, 2j, 2m and 2r, while the other six correspond to variants that do not group within any assigned subtypes. These sequences had lengths of 9508-9825 nt and each contained a single ORF encoding 3012-3106 aa. Predicted amino acids were carefully inspected and unique variation patterns were recognized, especially for a 2e isolate, QC64. Phylogenetic analysis of complete genome sequences provides evidence that there are a total of 16 subtypes, of which 11 have been described here. Co-analysis with 68 partial NS5B sequences also differentiated 18 assigned subtypes, 2a-2r, and eight additional lineages within genotype 2, which is consistent with the analysis of complete genome sequences. The data from this study will now allow 10 assigned subtypes and six additional lineages of HCV genotype 2 to have their full-length genomes defined. Further analysis with 2021 genotype 2 sequences available in the HCV database indicated that the geographical distribution of these subtypes is consistent with an African origin, with particular subtypes having spread to Asia and the Americas.
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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 | 0.000 | 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".