Molecular markers for <i>Peristenus</i> spp. (Hymenoptera: Braconidae) parasitoids associated with <i>Lygus</i> spp. (Hemiptera: Miridae)
Bibliographic record
Abstract
Abstract Molecular markers for identifying Peristenus spp. parasitoids to species level and preliminary molecular markers to distinguish two groups of Lygus spp. common to the Canadian prairies were developed. Peristenus species-specific polymerase chain reaction (PCR) primers were developed based on DNA sequence data from a 1600-bp region of the internal transcribed spacer region between the 5.8S and 18S nuclear rRNA genes (ITS2). These primers were able to distinguish Peristenus digoneutis Loan, Peristenus stygicus Loan, and Peristenus pallipes (Curtis). Their ability to identify to species-level parasites dissected from field-collected Lygus spp. nymphs was examined by analysis of DNA from 100 parasite samples. Of those samples showing positive PCR amplification with both control (ITS2) and species-specific primers, all were positive for P. pallipes ; none of the samples amplified appropriately sized products with P. digoneutis specific or P. stygicus specific primers. These findings were validated using restriction enzyme digests of amplified regions of the Peristenus spp. cytochrome oxidase 1 gene. Both methods were consistent with earlier studies that showed P. pallipes to be the only species of the genus Peristenus to be associated with Lygus spp. on the Canadian prairies. PCR primers based on DNA sequence data from a 550-bp region of the mitochondrial 16S rRNA gene were designed to discriminate Lygus lineolaris (Palisot de Beauvois) from Lygus borealis (Kelton), and Lygus elisus (Van Duzee). These PCR primers were used to identify field-collected nymphs, with most being identified as either L. borealis / L. elisus (72–82%) or L. lineolaris (14–18%). These estimates of species composition closely reflected those of subsequent adult population surveys from the same fields.
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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 | 0.000 |
| 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 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".