Evidence map›Paper›PMID 17309794›Full record

ArticleBMC biotechnology2007

Production of transgenic strawberries by temporary immersion bioreactor system and verification by TAIL-PCR.

Kati J Hanhineva, Sirpa O Kärenlampi

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in BMC biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kati J HanhinevaUniversity of Kuopio, Department of Biosciences, Kuopio, Finland. kati.hanhineva@uku.fi
Sirpa O Kärenlampi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrawberry (Fragaria x ananassa) is an economically important soft fruit crop with polyploid genome which complicates the breeding of new cultivars. For certain traits, genetic engineering offers a potential alternative to traditional breeding. However, many strawberry varieties are quite recalcitrant for Agrobacterium-mediated transformation, and a method allowing easy handling of large amounts of starting material is needed. Also the genotyping of putative transformants is challenging since the isolation of DNA for Southern analysis is difficult due to the high amount of phenolic compounds and polysaccharides that complicate efficient extraction of digestable DNA. There is thus a need to apply a screening method that is sensitive and unambiguous in identifying the different transformation events.

resultsHygromycin-resistant strawberries were developed in temporary immersion bioreactors by Agrobacterium-mediated gene transfer. Putative transformants were screened by TAIL-PCR to verify T-DNA integration and to distinguish between the individual transformation events. Several different types of border sequence arrangements were detected.

conclusionThis study demonstrates that temporary immersion bioreactor system suits well for the regeneration of transgenic strawberry plants as a labour-efficient technique. Small amount of DNA required by TAIL-PCR is easily recovered even from a small transformant, which allows rapid verification of T-DNA integration and detection of separate gene transfer events. These techniques combined clearly facilitate the generation of transgenic strawberries but should be applicable to other plants as well.

Indexed as

BioreactorsCell Culture TechniquesEquipment DesignEquipment Failure AnalysisFragariaPlant ProteinsPlants, Genetically ModifiedPolymerase Chain ReactionProtein EngineeringRecombinant ProteinsRhizobiumPlant ProteinsRecombinant Proteins

Identifiers

PMID17309794
PMCPMC1810528

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.