Comparison of a South African and Canadian Isolate of the Nucleopolyhedrosis Virus Infecting the Insect<i>Trichoplusia ni</i>
Bibliographic record
Abstract
The nucleotide and amino acid sequence of the ecdysteroid UDP-glucosyltransferase (egt), polyhedrin (pol), inhibitor of apoptosis (iap2 and iap3), late expression factor (lef) 9 and vp1054 genes of a South African isolate of Trichoplusia ni single nucleopolyhedrovirus (TnSNPV) was compared to a Canadian isolate of TnSNPV. Nucleotide and amino acid sequence identity for the compared genes ranged from 89%to 98%and 95%to 99%, respectively. The deduced amino acid sequences of the TnSNPV egt, pol, iap3, lef-9 and vp1054 genes were used to infer phylogenetic trees and these were compared to the tree inferred from combined data sets consisting of the amino acid sequences of polyhedrin/granulin, lef-8 and lef-9 genes of 48 completely sequenced baculoviruses. The topologies of trees for the baculovirus core genes pol, lef-9 and vp1054 were better resolved than that of the auxiliary genes iap2, iap3 and egt when compared to the tree inferred from complete genome sequences. Sequence and phylogenetic analysis confirms that the two geographically disparate isolates are closely related. The tree inferred from the combined data set represents a quick and reliable method of identification particularly, when whole genome data are not available.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".