Development of scar markers for the dna‐based detection of the Asian long‐horned beetle, <i>Anoplophora glabripennis</i> (Motschulsky)
Bibliographic record
Abstract
DNA markers were identified for the molecular detection of the Asian long-horned beetle (ALB), Anoplophora glabripennis (Mot.), based on sequence characterized amplified regions (SCARs) derived from random amplified polymorphic DNA (RAPD) fragments. A 2,740-bp DNA fragment that was present only in ALB and not in other Cerambycids was identified after screening 230 random primers in a PCR-based assay system. Three pairs of nested 22-mer oligonucleotide primers were designed on the basis of the sequence of this fragment and were used to perform diagnostic PCR. The first pair of primers (SCAR1) amplified a single 745-bp fragment of ALB DNA, but this did not differentiate ALB from other species. The other two pairs of SCAR primers (SCAR2 and SCAR3) amplified bands of 1,237- and 2,720-bp, respectively, that were capable of differentiating ALB from other closely related non-native and native Cerambycids, such as A. chinensis (Forster), A. malasiaca (Thomson), A. nobilis (Ganglbauer), Monochamus scutellatus (Say), Plectrodera scalator (Fab), Saperda tridentata (Olivier), and Graphisurus fasciatus (Degeer). The latter two SCAR markers could be amplified using DNA extracted from body parts of ALB such as the wing, the leg, and the antennae as well as tissues from all the developmental stages including the egg, larva, pupa, and adult. These markers were also capable of identifying ALB using the DNA extracted from frass. Our results demonstrate that the SCAR markers we have identified can be used for unambiguously identifying ALB from other closely related Cerambycids using a simple PCR procedure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".