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Record W1970260074 · doi:10.1139/w10-098

rDNA internal transcribed spacer sequence analysis of Craterellus tubaeformis from North America and Europe

2011· article· en· W1970260074 on OpenAlexvenueno aff
Zhou Guoying, Li Lin, He Li

Bibliographic record

VenueCanadian Journal of Microbiology · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsInternal transcribed spacerPhylogenetic treeBiologySpacer DNAHabitatEvolutionary biologyBotanyEcologyGeneticsGene

Abstract

fetched live from OpenAlex

The basidiomycete Craterellus tubaeformis (Fries) Quélet is an important widespread ectomycorrhizal basidiomycete found in the Northern Hemisphere. In this study, 12 samples of C. tubaeformis from North America and Europe were analyzed using internal transcribed spacer (ITS) sequences to reveal the correlation between ITS genotypes and geographic locations and to provide molecular evidence for the identification of C. tubaeformis from different habitats in North America and Europe. The analyses identified abundant sequence variations within C. tubaeformis. The length of the ITS region varied from 571 to 640 bp. The proportion of variable sites was 17.6%, and the proportion of parsimony information sites was 16.7%. Phylogenetic analysis showed some correlations between the ITS genotypes and geographic locations of C. tubaeformis; however, some discrepancies between geographical location and affinity were also found. The results indicated that C. tubaeformis from different habitats in North America and Europe underwent genetic drifting and evolved into 2 different species. nrDNA ITS could be a good markers for distinguishing among C. tubaeformis from different habitats, but rational affinity should be determined by associating the available ITS data with other information sources.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.184
Teacher spread0.162 · 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 designBench or experimental
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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

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