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Record W2171871014 · doi:10.1139/cjb-78-9-1150

Genetic variability and phylogeny inferred from random amplified polymorphic DNA data reflect life strategy of entomopathogenic fungi

2000· article· en· W2171871014 on OpenAlexvenueno aff
Miroslav Obornı́k, Marek Klíc, Lukáš Zizka

Bibliographic record

VenueCanadian Journal of Botany · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPhylogeneticsEvolutionary biologyRAPDEntomopathogenic fungiGeneticsDNAGeneBotanyGenetic diversityBiological pest controlDemography

Abstract

fetched live from OpenAlex

Our analysis of the genetic variability and phylogenetic relationships among the isolates of mitosporic entomopathogenic fungi Paecilomyces fumosoroseus (Wize) Brown & Smith (10 isolates), Paecilomyces farinosus (Holm ex S.F. Gray) Brown & Smith (3 isolates), Paecilomyces lilacinus (Thom) Samson (1 isolate), and Verticillium lecanii (Zimmerman) Viegas (6 isolates) was based on the use of random amplified polymorphic DNA (RAPD) markers. Neighbor-joining analysis characterized P. fumosoroseus and V. lecanii as monophyletic taxa. The analysis also supported monophyly of the genus Paecilomyces. We have used the distribution of genetic distances to demonstrate the genetic variability within studied species, in Paecilomyces spp. (Hyphomycetes) and Aschersonia spp. (Coelomycetes) in particular. We conclude that the RAPD-based analysis is useful for the reconstruction of intraspecific and interspecific relationships of the entomopathogenic fungi. Moreover, it can be employed to study the intergeneric relationship...

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.021
GPT teacher head0.235
Teacher spread0.214 · 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

Citations15
Published2000
Admission routes1
Has abstractyes

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