Molecular phylogeny and taxonomy of the endolithic lichen genus <i>Bagliettoa</i> (Ascomycota: Verrucariaceae)
Bibliographic record
Abstract
Abstract Despite their importance in bio‐deterioration, the taxonomy of the calcicolous endolithic lichen genus Bagliettoa is still problematic, mostly because of difficult identifications and unsettled species concepts. In this study, the traditional morphology‐based species and genus delimitations were tested using the phylogenetic markers ITS, mcm7 and mtSSU. Bayesian and maximum likelihood approaches were used on a dataset of 82 specimens to reconstruct phylogenetic relationships between the eight most common species of Bagliettoa . Molecular data confirmed the placement of B. limborioides , the type of the generic name, within the clade including species usually considered as part of Bagliettoa . Five other species were monophyletic and well supported ( B. baldensis, B. calciseda, B. cazzae, B. marmorea, B. parmigerella ). Relationships within a clade including B. parmigera, B. steineri and specimens with intermediate characters (here referred to as B . cf. suzaeana ) were not resolved and weakly supported. This species complex (also called B. parmigera s.l.) is in need of a further revision. After revision of the type material, a lectotype is chosen for Bagliettoa parmigerella. Additionally, the new combinations Bagliettoa rubrocincta and Bagliettoa suzaeana are proposed based on their morphological similarity to other species of Bagliettoa . A key to the 12 currently recognized species is provided, which will hopefully help ecologists and biogeologists to identify species from this difficult genus of endolithic lichens.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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".