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Multiple copies of cytochrome oxidase 1 in species of the fungal genus <i>Fusarium</i>

2009· article· en· W2061005657 on OpenAlexaff
Scott R. Gilmore, Tom Gräfenhan, Gerry Louis-Seize, Keith A. Seifert

Bibliographic record

VenueMolecular Ecology Resources · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyHypocrealesFusariumGeneticsIntronBotanyGeneAscomycota

Abstract

fetched live from OpenAlex

Using data from published mitochondrial or complete genomes, we developed and tested primers for amplification and sequencing of the barcode region of cytochrome oxidase 1 (COX1) of the fungal genus Fusarium, related genera of the order Hypocreales, and degenerate primers for fungi in the subdivision Pezizomycotina. The primers were successful for amplifying and sequencing COX1 barcodes from 13 genera of Hypocreales (Acremonium, Beauveria, Clonostachys, Emericellopsis, Fusarium, Gliocladium, Hypocrea, Lanatonectria, Lecanicillium, Metarhizium, Monocillium, Neonectria and Stilbella), 22 taxa of Fusarium, and two genera in other orders (Arthrosporium, Monilochaetes). Parologous copies of COX1 occurred in several strains of Fusarium. In some, copies of the same length were detected either by heterozygous bases in otherwise clean sequences or in different replicates of amplification and sequencing events; this may indicate multiple transcribed copies. Other strains included one or two introns. Two intron insertion sites had at least two nonhomologous intron sequences among Fusarium species. Irrespective of whether the multiple copy issue could be resolved by sequencing RNA transcripts, developing a precise COX1-based barcoding system for Fusarium may not be feasible. The overall divergence among homologous COX1 sequences obtained so far is rather low, with many species sharing identical sequences.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.463

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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 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

Citations54
Published2009
Admission routes1
Has abstractyes

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