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Record W2969056531 · doi:10.3114/fuse.2020.05.01

<i>Penicillium</i> diversity in Canadian bat caves, including a new species, <i> P. speluncae</i>

2019· article· en· W2969056531 on OpenAlexaffabout
Cobus M. Visagie, Neriman Yılmaz, Karen J. Vanderwolf, J.B. Renaud, MW Sumarah, Jos Houbraken, R. Assebgui, Keith A. Seifert, David Malloch

Bibliographic record

VenueFungal Systematics and Evolution · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersNational Brain Research Centre
KeywordsBiologyPenicilliumCladeZoologyBotanyCavePhylogenetic treeGeneticsGeneEcology

Abstract

fetched live from OpenAlex

Penicillium species were commonly isolated during a fungal survey of bat hibernacula in New Brunswick and Quebec, Canada. Strains were isolated from arthropods, bats, rodents ( i.e . the deer mouse Peromyscus maniculatus ), their dung, and cave walls. Hundreds of fungal strains were recovered, of which Penicillium represented a major component of the community. Penicillium strains were grouped by colony characters on Blakeslee's malt extract agar. DNA sequencing of the secondary identification marker, beta-tubulin, was done for representative strains from each group. In some cases, ITS and calmodulin were sequenced to confirm identifications. In total, 13 species were identified, while eight strains consistently resolved into a unique clade with P. discolor , P. echinulatum and P. solitum as its closest relatives. Penicillium speluncae is described using macroand micromorphological characters, multigene phylogenies (including ITS, beta-tubulin, calmodulin and RNA polymerase II second largest subunit) and extrolite profiles. Major extrolites produced by the new species include cyclopenins, viridicatins, chaetoglobosins, and a microheterogenous series of cyclic and linear tetrapeptides.

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 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 score0.140
Threshold uncertainty score0.958

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 head0.016
GPT teacher head0.206
Teacher spread0.189 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2019
Admission routes2
Has abstractyes

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