Phylogeny of the rust fungi: an approach using nuclear large subunit ribosomal DNA sequences
Bibliographic record
Abstract
Sequence data from nuclear large subunit ribosomal DNA was used to infer phylogenetic relationships of selected genera of the Uredinales. We investigated 52 rust fungi representing nine families and three outgroup species. Neighbor joining analysis and a Bayesian method of phylogenetic inference using Monte Carlo Markov chains confirm the rust fungi as a natural group and indicate that Puccinia, Uromyces, Endophyllum, and Cumminsiella have a common origin. The autoecious Rosaceae-rusts Phragmidium, Kuehneola, Triphragmium, and Trachyspora are a monophyletic group. The gasteroid genus Ochropsora is closely related to Tranzschelia. While the Pucciniastreae sensu Dietel (1938) is recognized as a monophyletic group in neighbor joining analysis, the Pucciniaceae s.l. (Dietel 1928) is supported by Bayesian analysis. The following genera appear to be monophyletic: Chrysomyxa, Coleosporium, Cronartium, Gymnosporangium, Melampsora, Phragmidium, and Tranzschelia, whereas the genera Puccinia, Pucciniastrum, Thekopsora, and Uromyces are not.Key words: molecular phylogeny, systematics, nuclear large subunit rDNA, Basidiomycota, Urediniomycetes, Uredinales.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".