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Record W2143398135 · doi:10.1139/cjb-2014-0048

Enhancement of the <i>Arabidopsis</i> floral dip method with XIAMETER OFX-0309 as alternative to Silwet L-77 surfactant

2014· article· en· W2143398135 on OpenAlexafffundvenue
Caroline Mireault, Louise-Emmanuelle Paris, Hugo Germain

Bibliographic record

VenueBotany · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyTransformation (genetics)TransgeneArabidopsisSelection (genetic algorithm)Arabidopsis thalianaBotanyGeneticsMutantGeneComputer science

Abstract

fetched live from OpenAlex

Arabidopsis thaliana (L.) Heynh. has emerged as the dominant plant species used in molecular genetics and functional genomics. Although it possesses several attributes of model organisms, the ease with which it can be transformed genetically is a paramount factor that has led to its widespread application as a tool for functional genomics. Progress made in the late 1990s has relieved users of the need to use a vacuum chamber for transformation, substituting its function with a surfactant known as Silwet L-77, to facilitate access to ovules by bacterial solution. Here, we evaluate the substitution of Silwet L-77 by XIAMETER OFX-0309. We demonstrate that transformation efficiency can be increased by an average of 3-fold (and up to 10-fold) solely by replacing Silwet L-77 with XIAMETER OFX-0309. Because downstream selection of transgenic plants, in either soil or Petri dishes, can be long and tedious, this substitution represents a significant reduction of time and materials required to retrieve transgenic lines.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.279

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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

Citations12
Published2014
Admission routes3
Has abstractyes

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