Genomic Differences between Guinea Pig Lethal and Nonlethal Marburg Virus Variants
Bibliographic record
Abstract
The complete genome sequences of 2 closely related plaque-derived variants of Marburg virus (MARV) species Lake Victoria marburgvirus, strain Musoke, indicate only a few regions of the RNA genome as underlying the differences between the 2 viruses.One variant is 190% lethal for guinea pigs and the other much less virulent, when guinea pigs are challenged with 1000 pfu of virus.Only 4 mutations that result in amino acid changes were identified, 1 in viral matrix protein VP40 and 3 in L, the RNA-dependent RNA polymerase.In addition, 6 differences were identified in noncoding regions of transcribed mRNA, and 1 silent codon change was identified in the L gene.Interestingly, the amino acid mutation identified in VP40 occurs in a nonconserved loop structure between 2 domains that are homologues only among MARV species.The L gene mutations were equally intriguing, clustering near a highly conserved motif in viral RNA-dependent RNA polymerases.Marburg viruses (MARVs) and the related Ebola viruses (EBOVs) comprise the family Filoviridae; together with the Bornaviridae, Paramyxoviridae, and Rhadboviridae, they constitute the order Mononegavirales.The known etiological agents of Marburg hemorrhagic fever include the following MARV strains (genus Marburgvirus, species Lake Victoria marburgvirus): Angola2005 (Ang), Ci67, 05DRC (Democratic Republic of the Congo), 07DRC, 09DRC, Musoke (Mus), Ozolin (Ozo), Popp (Pop), and Ravn (Rav) [1].Most filoviruses cause severe hemorrhagic fever with high mortality rates among humans and nonhuman primates, without prior adapta-Potential conflicts of interest: none reported.
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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 | 0.000 |
| 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 | 0.000 |
| 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".