Detection and phylogenetic analysis of mating type genes of<i>Ophiosphaerella korrae</i>
Bibliographic record
Abstract
Portions of the mating type genes from Ophiosphaerella korrae (J. Walker & A.M. Smith) R.A. Shoemaker (=Leptosphaeria korrae J. Walker & A.M. Smith), a pathogenic fungus of grasses, were examined by PCR (polymerase chain reaction). For nine isolates of O. korrae from North America, both mating type genes were amplified, demonstrating that both MAT idiomorphs are detectable in this homothallic ascomycete. Amplified fragments from three isolates were sequenced, and parsimony analyses of MAT1 nucleotide and protein sequences placed O. korrae in the basal position of a clade of Phaeosphaeriaceae and Pleosporaceae, whereas the MAT2 nucleotide and protein data placed O. korrae in a clade with Pleosporaceae. The internal transcribed spacer (ITS) and 18S ribosomal DNA of O. korrae were also sequenced. The 18S sequences had insufficient variability to resolve the placement of O. korrae, whereas the ITS data placed it in Phaeosphaeriaceae. A total evidence analysis of Dothideomycetes with 18S, ITS, and MAT data placed O. korrae alongside Phaeosphaeria species, with moderate bootstrap support. However, the KishinoHasegawa test did not demonstrate this topology to be significantly different from one where O. korrae was placed with Pleosporales. Although O. korrae does not belong in Leptosphaeria based on ITS data, MAT data do not strongly support its placement in Phaeosphaeriaceae.Key words: ascomycetes, mating type genes, ribosomal genes, taxonomy.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".