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Record W2143112204 · doi:10.4141/cjps08214

An in silico study of the genes for the isoflavonoid pathway enzymes in soybean reveals novel expressed homologues

2010· article· en· W2143112204 on OpenAlexafffundvenue
Julie Livingstone, Philippe Séguin, Martina V. Strömvik

Bibliographic record

VenueCanadian Journal of Plant Science · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsIsoflavonoidChalcone isomeraseIn silicoDehydrataseGeneChalcone synthaseBiologyGeneticsGenomeGene expressionBiochemistryFlavonoid

Abstract

fetched live from OpenAlex

Soybean [Glycine max (L.) Merr.] is an important source of isoflavones used by the nutraceutical industry. The soybean genome (2n = 40, 975 Mb) has recently been sequenced, and over a million (redundant) gene tags (expressed sequence tags, ESTs) are available in public databases. Using bioinformatics, we investigated five key enzymes of the isoflavonoid pathway (i.e., chalcone isomerase, isoflavone synthase, 2-hydroxyisoflavanone dehydratase, isoflavanone-7-O-glycosyltransferase, and isoflavone-7-O-glucoside-6′′-O-malonyltransferase) to gain a better understanding of which gene homologues are expressed. Contiguous sequences (contigs) were assembled from EST data to represent the specific genes and were subsequently used to predict and verify known and novel gene homologues in the recently released chromosome-based assembly of the soybean genome. Novel transcripts for 2-hydroxyisoflavanone dehydratase and isoflavone-7-O-glucosyltransferase were discovered in these data and in silico expression profiles are presented for all the genes identified in the isoflavonoid pathway. Key words: Soybean, expressed sequence tag, isoflavonoid, gene expression, homologues

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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

Citations10
Published2010
Admission routes3
Has abstractyes

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