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Potential of spore protein profiles as identification tools for arbuscular mycorrhizal fungi

2000· article· en· W4229703254 on OpenAlexaff
Lisette J. C. Xavier, Ilungo J. Xavier, James J. Germida

Bibliographic record

VenueMycologia · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBiologySporeArbuscular mycorrhizal fungiMycorrhizal fungiFungusBotanyIdentification (biology)Arbuscular mycorrhizalMicrobiologySymbiosisInoculationBacteriaHorticultureGenetics

Abstract

fetched live from OpenAlex

Five hundred spores from monospecific AMF cultures of Glomus clarum, G. mosseae, G. versiforme, G. fasciculatum, G. etunicatum, and a Glomus sp. isolate BVB1 were crushed in a modified sodium dodecyl sulphate (SDS) reducing buffer and 0.5 μg spore protein aliquots were subjected to one dimensional SDS polyacrylamide gel electrophoresis (1D SDS-PAGE). Silver-stained gels revealed a unique and reproducible protein profile for each of the AMF species tested. The average similarity between any two AMF species ranged ca 10–51%, as determined using an unweighted pair-group average approach. Furthermore, each of the AMF species possessed signature protein bands that were reproducible and consistent. SDS-PAGE of AMF spores is a simple and sensitive technique capable of distinguishing between AMF species that could be used for the routine identification of unknown AMF isolates.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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

Citations3
Published2000
Admission routes1
Has abstractyes

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