From chaos to tranquillity: a modern approach to the identification, nomenclature and phylogeny of <i>Aspergillus Penicillium</i> and other <i>Eurotiales</i> updated accepted species list
Bibliographic record
Abstract
Eurotiales is a diverse and speciose order and includes economically important genera like Aspergillus , Penicillium , Paecilomyces and Talaromyces . However, despite current advancements, a proportion of newly described species within these taxonomically challenging genera represent, in fact, existing species, which raises obvious concerns. This study thus aimed to further modernise the taxonomy of Eurotiales by addressing key challenges in species but continue to support the inclusion of morphological descriptions and, where possible, associated secondary metabolite, exoenzyme, physiology and ecological data when introducing new species. Based on our phylogenetic analyses, we accept 130 of 171 species described since 2023 but reduce 41 to 26 genera, with Aspergillus (n = 465), Penicillium (n = 598) and Talaromyces and species descriptions under a phylogenetic species concept, we release a curated DNA reference sequence database containing 18837 DNA sequences (3867 ITS, 5277 BenA , 5110 CaM and 4583 RPB2 ) generated from 5325 strains. Sequences were selected to best cover the infraspecies variation under our current understanding of each species. The species list and sequence database will be kept up to date as new information becomes available and will remain available at https://doi. org/10.5281/zenodo.16605949. This manuscript presents a major leap towards our goal to facilitate work with Eurotiales , while providing the taxonomic framework to support research excellence related to this important fungal group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".