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Record W2021312520 · doi:10.1186/1753-6561-5-s7-p152

Transgene copy number estimation and analysis of gene expression levels in Populusspp. transgenic lines

2011· article· en· W2021312520 on OpenAlexaff
Francesca Donnarumma, Donatella Paffetti, Matthias Fladung, Stefano Biricolti, Dieter Ernst, Illimar Altosaar, Cristina Vettori

Bibliographic record

VenueBMC Proceedings · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiologyGeneTransgeneAgrobacteriumGenomeGenetically modified cropsTransformation (genetics)Genetically modified organismGeneticsComplementary DNABotanyBiotechnology

Abstract

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BackgroundThe genus Populus has certain important features, suchas a relatively small nuclear genome, it can be easilyregenerated easily in vitro and genetically transformedby Agrobacterium vector system, which make it ideal forgene transfer and molecular genetic studies in foresttrees [1]. Insect-tolerant poplars have been obtainedusing several types of insecticidal genes coding for Bacil-lus thuringiensis-toxins. Regenerated plants with insect-resistance were obtained in different studies. Agrobacter-ium-mediated transformation has been the favoredmethod for the introduction of foreign genes into plants.The effectiveness of insect-resistance in transgenicplants is related to the side effects of gene transfer (siteof gene insertion, copy number, gene silencing etc.).Moreover intransgenic plants, transgene copy numbercan greatly affect the expression level and genetic stabi-lity of the target gene, making estimation of transgenecopy numbers an important area of genetically modifiedplant research [2]. Thus molecular biological analysis oftransgenic plants, like real time PCR, widely used todetect and quantify DNA and cDNA [3], could repre-sent an useful tool to investigate the genetic stability oftransgenic forest trees having a long life cycleas well asfor determining copy number in transformed plants.Material and methodsThe present study was undertaken to investigatePopu-lus alba and P. tremula x P. tremuloides transgeniclines, obtained via Agrobacterium-mediated transforma-tion, carrying cry1Ab and nptII genes in the T-DNAregion. The plants were vegetatively propagated ingrowth chambers over 2 years. Ten individuals fromeach clone were planted in containers with “forest soil”,and grown in a climate chamber.Extraction of genomic DNA and RNA from leaves wasperformed for PCR and Real Time PCR (RT-PCR) ana-lysis to estimate the transgene copy number [4] as wellas expression of the inserted gene [5]in transgenicpoplar, respectively.Results and discussionAll lines contained one copy ofcry gene and two ofthem showed that the copy number was different forthe cry1Ab and nptII genes, suggesting rearrangementsor multiple but incomplete copies of the transferredDNA (Figure 1). The copy number was concordantamong the 3 individuals of each lines analysed and withthose determined from the same transgenic lines kept inmicropropagation for 2 years.The transcript levels from both genes were deter-mined in 3 individuals for each line growing in climaticchambers. High levels of mRNA expression weredetected with respect to the stable endogenousactingene for both transgenic lines (Figure 2). Comparing thetranscript level of inserted genes among lines, a signifi-cant low level of nptII gene (p = 0.005) in the line carry-ing 3 copies was observed.Preliminary results indicate a differential expression ofendogenous genes among transgenic lines and towardstheir isogenic form.ConclusionsThe evaluation of the copy number of the insertedgenes has indicated their stability after 2 years of

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.303
Teacher spread0.278 · 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".

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Citations13
Published2011
Admission routes1
Has abstractyes

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