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Record W4410742573 · doi:10.1007/s13225-025-00557-y

Exploring criteria for constructing suprageneric classifications of fungi in the genomic era: a case study of suborders Agaricineae, Pluteineae, and Tricholomatineae (Agaricales)

2025· article· en· W4410742573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFungal Diversity · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersNational Natural Science Foundation of China
KeywordsAgaricalesMycologyBiologyZoologyEvolutionary biologyEcologyBotanyTaxonomy (biology)

Abstract

fetched live from OpenAlex

The burgeoning accumulation of genomic data in recent years has revolutionized our understanding of fungal phylogenies and classifications. However, the genomic era also brings new challenges, as phylogenetic incongruences make the appearance of monophyly in some phylogenetic trees questionable. Existing criteria for constructing taxonomic systems, such as diagnostic characters and divergence time, become insufficient to address this challenge. Through order-level analyses of genomic data of the Subkingdom Dikarya within the Kingdom Fungi , we introduce the extended quadripartition internode certainty (EQP-IC) value as a novel criterion for constructing high-level fungal classifications, with a recommended threshold of 0.1 for each taxonomic rank. Suprageneric taxa with an EQP-IC value exceeding 0.1 exhibit reduced topological variation, suggesting a stronger correspondence with natural taxonomic category. This new criterion was also put into practice to investigate the derived suborders of mushroom-forming Agaricales , including three suborders, Agaricineae , Pluteineae , and Tricholomatineae (APT), that had been long-standing problems in phylogenetic analyses. In total, 142 genomes, including 64 newly generated ones, were utilized to reconstruct the phylogenetic relationships and delve into the phylogenetic incongruencies and evolutionary histories of APT. Our data suggested widespread and high-level incomplete lineage sorting (ILS) and introgression/hybridization (IH) present among suborders within the APT. Therefore, a dichotomous phylogenetic tree may not reflect the real relationships among the clades within the APT. Instead, their natural relationships may be reticulate. Three newly named suborders, Amanitineae , Macrocystidiineae , and Omphalinineae are added to the clade including APT. The new combination Baisuzhenia humphreyi , new genus Baisuzhenia , new family Baisuzheniaceae , and new suborder Baisuzheniineae are proposed to accommodate Stereopsis humphreyi , which shows an independent, but close relationship, with the clade formed by the six above-mentioned derived suborders of Agaricales .

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.078
GPT teacher head0.289
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it