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Record W2159044369 · doi:10.4238/vol9-2gmr790

Rapid determination of transgene copy number in tobacco by competitive PCR using a pair of SSR primers

2010· article· en· W2159044369 on OpenAlexaff
Kuiwu Xu, S.H. Wang, XI Li-yan, Q J Wang, Chao Dong, J. Y. Zhang, Shuping Qu, Z. Zhang

Bibliographic record

VenueGenetics and Molecular Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsUniversity of British Columbia
FundersGovernment of Jiangsu ProvinceNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsTransgeneBiologyLocus (genetics)GeneticsTransformation (genetics)Plasmidgenomic DNAGeneMolecular biology

Abstract

fetched live from OpenAlex

We developed a straightforward, rapid, and inexpensive method to determine transgene copy number in tobacco. The plasmid (pSSRCopy) used for tobacco transformation contains a simple sequence repeat (SSR) locus, PT1199, which was partially deleted in the middle, a homogenous SSR locus in tobacco K326. A 168-bp segment of the cloned PT1199 was shortened to 95 bp by deleting a 73-bp internal fragment. Using a pair of SSR primers, competitive PCR was amplified from genomic DNA from transgenic tobacco harboring pSSRCopy, and the two expected bands were found. The 168-bp band (SSR-168) corresponds to endogenous PT1199 and the 95-bp band (SSR-95) comes from the integrated pSSRCopy. A single copy of a transgene can be easily distinguished from multiple copies by comparing band densities.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.029
GPT teacher head0.334
Teacher spread0.305 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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