Evidence of structural genomic region recombination in Hepatitis C virus.
Bibliographic record
Abstract
BACKGROUND/AIM: Hepatitis C virus (HCV) has been the subject of intense research and clinical investigation as its major role in human disease has emerged. Although homologous recombination has been demonstrated in many members of the family Flaviviridae, to which HCV belongs, there have been few studies reporting recombination on natural populations of HCV. Recombination break-points have been identified in non structural proteins of the HCV genome. Given the implications that recombination has for RNA virus evolution, it is clearly important to determine the extent to which recombination plays a role in HCV evolution. In order to gain insight into these matters, we have performed a phylogenetic analysis of 89 full-length HCV strains from all types and sub-types, isolated all over the world, in order to detect possible recombination events. METHOD: Putative recombinant sequences were identified with the use of SimPlot program. Recombination events were confirmed by bootscaning, using putative recombinant sequence as a query. RESULTS: Two crossing over events were identified in the E1/E2 structural region of an intra-typic (1a/1c) recombinant strain. CONCLUSION: Only one of 89 full-length strains studied resulted to be a recombinant HCV strain, revealing that homologous recombination does not play an extensive roll in HCV evolution. Nevertheless, this mechanism can not be denied as a source for generating genetic diversity in natural populations of HCV, since a new intra-typic recombinant strain was found. Moreover, the recombination break-points were found in the structural region of the HCV genome.
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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) | 0.002 | 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".