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Record W2077082524 · doi:10.1007/s13225-012-0166-9

Phylogenetic placement of lichenicolous Phoma species in the Phaeosphaeriaceae (Pleosporales, Dothideomycetes)

2012· article· en· W2077082524 on OpenAlexaffabout
James D. Lawrey, Paul Diederich, Matthew P. Nelsen, Colin Freebury, Dries Van den Broeck, Masoumeh Sikaroodi, Damien Ertz

Bibliographic record

VenueFungal Diversity · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsCanadian Museum of Nature
FundersNational Science Foundation
KeywordsDothideomycetesPhomaBiologyBotanyCladeGenusLichenTaxonomy (biology)AscomycotaPhylogenetic treeZoologyGenetics

Abstract

fetched live from OpenAlex

More than twenty species of lichenicolous fungi have been described in Phoma , a large anamorphic genus of primarily plant-associated pathogens with broad geographic distributions. We obtained nuclear and mitochondrial rDNA sequences from 19 fungal cultures isolated from specimens representing four described and two undescribed lichenicolous species in the genus. Our multilocus phylogeny indicates that lichenicolous Phoma species represent at least two phylogenetically distinct clades in the Phaeosphaeriaceae, one including a new species, Phoma puncteliae, isolated from a specimen of Punctelia rudecta collected in Maryland, USA, and another group of primarily lichenicolous species. This latter group includes four described lichenicolous Phoma species, an unidentified melanized rock fungus, and a new lichenicolous Phoma species isolated from Xanthomendoza species collected in Canada that we are naming P. xanthomendozae. Some specimens in this clade collected from different lichen genera and species were found to be very similar genetically, which calls into question the recent practice of recognizing lichenicolous Phoma species mainly by differences in host preference.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations60
Published2012
Admission routes2
Has abstractyes

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