Inter- and intra-lineage genetic diversity of wild-type Zika viruses reveals both common and distinctive nucleotide variants and clusters of genomic diversity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Zika virus (ZIKV) strains belong to the East African, West African, and Asian/American phylogenetic lineages. RNA viruses, like ZIKV, exist as populations of genetically-related sequences whose heterogeneity may impact viral fitness, evolution, and virulence. Genetic diversity of representative ZIKVs from each lineage was examined using next generation sequencing (NGS) paired with downstream entropy and single nucleotide variant (SNV) analysis. Comparisons showed that inter-lineage diversity was statistically supported, while intra-lineage diversity. Intra-lineage diversity was significant for East but not West Africa strains. Furthermore, intra-lineage diversity for the Asian/American lineage was not supported for human serum isolates; however, a placenta isolate differed significantly. Relative in the pre-membrane/membrane (prM/M) gene of several ZIKV strains. Additionally, the East African lineage contained a greater number of synonymous SNVs, while a greater number of non-synonymous SNVs were identified for American strains. Further, inter-lineage SNVs were dispersed throughout the genome, whereas intra-lineage non-synonymous SNVs for Asian/American strains clustered within prM/M and NS1 gene. This comprehensive analysis of ZIKV genetic diversity provides a repository of SNV positions across lineages. We posit that increased non-synonymous SNV populations and increased relative genetic diversity of the prM/M and NS1 proteins provides more evidence for their role in ZIKV virulence and fitness.
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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 | 0.000 | 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 | 0.001 |
| 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 it