Molecular evolution of the tick-borne encephalitis and Powassan viruses
Bibliographic record
Abstract
The problem of emerging viruses, their genetic diversity and viral evolution in nature are attracting more attention. The phylogenetic analysis and evaluationary rate estimation were made for pathogenic flaviviruses such as tick-borne encephalitis virus (TBEV) and Powassan (PV) circulated in natural foci in Russia. 47 nucleotide sequences of encoded protein E of the TBEV and 17 sequences of NS5 genome region of the PV have been used. It was found that the rate of accumulation of nucleotide substitutions for E genome region of TBEV was approximately 1.4 x 10(-4) and 5.4 x 10(-5) substitutions per site per year for NS5 genome region of PV. The ratio of non-synonymous nucleotide substitutions to synonymous substitution (dN/dS) for viral sequences were estimated of 0.049 for TBEV and 0.098 for PV. Maximum value dN/dS was 0.201-0.220 for sub-cluster of Russian and Canadian strains of PV and the minimum - 0.024 for cluster of Russian and Chinese strains of Far Eastern genotype TBEV. Evaluation of time intervals of evolutionary events associated with these viruses showed that European subtype TBEV are diverged from all-TBEV ancestor within approximately 2750 years and the Siberian and Far Eastern subtypes are emerged about 2250 years ago. The PV was introduced into natural foci of the Primorsky Krai of Russia only about 70 years ago and PV is a very close to Canadian strains of PV. Evolutionary picture for PV in North America is similar to evolution of Siberian and Far Eastern subtypes TBEV in Asia. The divergence time for main genetic groups of TBEV and PV are correlated with historical periods of warming and cooling. These allow to propose a hypothesis that climate changes were essential to the evolution of the flaviviruses in the past millenniums.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".