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Record W2064871504 · doi:10.1139/gen-44-1-104

An efficient method for the physical mapping of transgenes in barley using in situ hybridization

2001· article· en· W2064871504 on OpenAlexvenueno aff
Haroldo Salvo-Garrido, Silvia Travella, Trude Schwarzacher, Wendy Harwood, J. W. Snape

Bibliographic record

VenueGenome · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyTransgeneIn situ hybridizationFluorescence in situ hybridizationLabellingIn situTransformation (genetics)PlasmidNick translationPhysical mappingComputational biologyGeneticsGene mappingGeneMessenger RNABiochemistryChemistryChromosome

Abstract

fetched live from OpenAlex

The genetic transformation of crops by particle bombardment and Agrobacterium tumefaciens systems have the potential to complement conventional plant breeding programmes. However, before deployment, transgenic plants need to be characterized in detail, and physical mapping is an integral part of this process. Therefore, it is important to have a highly efficient method for transgene detection by fluorescence in situ hybridization (FISH). This study describes a new approach, which provides efficient control of probe length and labelling, both of which play an important role in in situ hybridization of transgenes. The approach is based on reducing the size of the plasmid prior to labelling by nick translation, rather than using the whole or linearized plasmid, or varying the amounts of DNaseI in the nick translation mixture. This provided much more efficient labelling of the probe, which yielded optimal hybridization. minimal fluorescent background, and accurate physical location of the transgene.

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 score0.193
Threshold uncertainty score0.145

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 head0.025
GPT teacher head0.296
Teacher spread0.271 · 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

Citations29
Published2001
Admission routes1
Has abstractyes

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