High-Frequency Genetic Recombination and Reactivation of Orthopoxviruses from DNA Fragments Transfected into Leporipoxvirus-Infected Cells
Bibliographic record
Abstract
Poxvirus DNA is not infectious because establishing an infection requires the activities of enzymes packaged in the virion. This barrier can be overcome by transfecting virus DNA into cells previously infected with another poxvirus, since the resident virus can provide the trans-acting systems needed to reactivate transfected DNA. In this study we show that cells infected with a leporipoxvirus, Shope fibroma virus (SFV), can reactivate vaccinia virus DNA. Similar heterologous packaging systems which used fowlpox-infected cells to reactivate vaccinia virus have been described, but SFV-infected cells promoted a far more efficient reaction that can produce virus titers exceeding 10(6) PFU/ micro g of transfected DNA. SFV-promoted reactions also exploit the hyperrecombinogenic systems previously characterized in SFV-infected cells, and these coupled recombination and reactivation reactions could be used to delete nonessential regions of the vaccinia virus genome and to reconstruct vaccinia virus from overlapping DNA fragments. SFV-catalyzed recombination reactions need only two 18- to 20-bp homologies to target PCR amplicons to restriction enzyme-cut vaccinia virus vectors, and this reaction feature was used to rapidly clone and express a gene encoding fluorescent green protein without the need for plaque purification or selectable markers. The ability of SFV-infected cells to reactivate fragments of vaccinia virus was ultimately limited by the number of recombinational exchanges required and one cannot reconstruct vaccinia virus from multiple PCR fragments spanning essential portions of the genome. These observations suggest that recombination is an integral part of poxvirus reactivation reactions and provide a useful new technique for altering the structure of poxvirus genomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".