Intergenic Spacer Single Nucleotide Polymorphisms for Genotyping Amylostereum areolatum (Russulales: Amylostereacea) Symbionts of Native and Non-native Sirex Species
Bibliographic record
Abstract
Abstract In North America Amylostereum areolatum (Chaillet ex Fr.) Boidin is a fungal symbiont associated with both the non-native Sirex noctilio Fabricius (Hymenoptera: Siricidae) and less commonly the native Sirex nigricornis Fabricius (Hymenoptera: Siricidae) woodwasps. The relationship between S. noctilio and A. areolatum constitutes a serious threat to pine plantation in the southern hemisphere. Studies have shown evidence of exchange of symbionts between non-native and native Sirex species. Our objectives were 1) to identify and assemble a panel of rDNA intergenic spacer–single nucleotide polymorphisms (IGS-SNPs) for genotyping strains of A. areolatum symbionts associated with Sirex species in North America, and 2) to develop genetic markers for monitoring the spread of specific A. areolatum haplotypes associated with S. noctilio across regions. The IGS-SNPs panel analyzed included haplotypes B1, B2, D1, D2 (from known IGS type B and D), E, and F. Genetic markers and haplotype-specific primers were designed to detect the IGS haplotypes D and E of A. areolatum. We found that haplotype D was absent in A. areolatum from S. nigricornis in Louisiana, while haplotype E was detected in all A. areolatum from S. nigricornis in Canada and Louisiana. Both haplotype D and E were co-detected in approximately 5% of samples from Canada. The IGS-SNP markers detected specific haplotypes accurately. Observing haplotype D in any A. areolatum from the native S. nigricornis likely indicates the presence of the potentially harmful S. noctilo-A. areolatum complex. The work highlights how IGS-SNPs can help in early detection without direct occurrence/observations of the non-native species of concern.
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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 | 0.000 | 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) | 0.001 | 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".