Synchronization of in vivo <scp>MacoNPV</scp>‐A baculovirus infection by analysis of individual <i>Mamestra configurata</i> larval guts
Bibliographic record
Abstract
Abstract Many studies have examined the gene expression of baculoviruses during host infection by infecting cultured insect host cells; however, only a few have attempted to characterize the interaction between baculoviruses and insect larvae, which more accurately models the virus‐insect relationship. The greatest challenge in assessing gene expression profiles in vivo in the larval gut is the lack of infection synchronization compared to cultured cells. Working with bertha armyworm, Mamestra configurata , larvae infected with the baculovirus Mamestra configurata nucleopolyhedrovirus‐A (MacoNPV‐A), viral gene expression was measured using droplet‐digital PCR, showing that the rate of infection in individual insects varies extremely widely. Subsequent RNA‐Seq of individual guts revealed that gene expression patterns were consistent in individuals with similar levels of viral gene expression. Therefore, the best approach for analysing baculovirus gene expression in vivo is to use the expression of an early viral gene as a means to select individuals that are closely matched in infection progress to produce the most synchronized infection cohorts for measuring gene expression profiles. In this way, a profile of gene expression was identified very early in infection that would have been masked by the activity of a few very robustly infected individuals present in sample pools made up of multiple individuals.
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 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 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".