A Multiplex Real-Time PCR Assay for Screening Gypsy Moths (Lepidoptera: Erebidae) in the United States for Evidence of an Asian Genotype
Bibliographic record
Abstract
European gypsy moth populations (Lymantria dispar L.) are well established and a proven destructive force in hardwood trees throughout the United States and Canada. Introduction of the exotic Asian gypsy moth into North America would be even more impactful, as Asian gypsy moth populations have wider host ranges, and are capable of naturally dispersing more rapidly due to female flight ability. To support early detection and exclusion of Asian gypsy moth, the U.S. Department of Agriculture (USDA) uses molecular techniques to screen moths trapped in North America for evidence of common Asian genotype. In order to strengthen U.S. domestic capacity to screen moths quickly and efficiently, we report a real-time PCR assay for this pest. A probe system using TaqMan 5' nuclease chemistry is reported for detection of an allele associated with common Asian gypsy moth genotypes. The targeted allele is located at the nuclear FS1 locus currently used by the USDA in conventional PCR tests to screen for evidence of Asian gypsy moth introductions or introgression. The diagnostic probe is successfully multiplexed with a conserved 18S probe system to detect reaction failure due to poor sample quality or quantity. The specificity, sensitivity, and repeatability of the FS1-18S multiplex real-time PCR assay were tested on laboratory-reared and field-collected moths to demonstrate diagnostic utility. Implications of the new assay as a screening tool for evidence of Asian gypsy moth introgression and introduction are discussed.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".