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An efficient transient expression system for gene function analysis in rose

Overview of attention for article published in Plant Methods, December 2017
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Title
An efficient transient expression system for gene function analysis in rose
Published in
Plant Methods, December 2017
DOI 10.1186/s13007-017-0268-1
Pubmed ID
Authors

Jun Lu, Mengjuan Bai, Haoran Ren, Jinyi Liu, Changquan Wang

Abstract

Roses are widely used as garden ornamental plants and cut flowers. Rosa chinensis cv 'Old Blush' has been used as a model genotype in rose studies due to its contribution to recurrent flowering and tea scent traits of modern roses. The deficiency of efficient genetic transformation systems is a handicap limiting functional genetics studies of roses. Agrobacterium-mediated transient transformation offers a powerful tool for the characterization of gene function in plants. A convenient and highly efficient Agrobacterium mediated genetic transformation protocol using R. chinensis cv 'Old Blush' seedlings in vitro as an expression system is described in this paper. The most important factor affecting transformation efficiency in this system is seedling age; 3/4-week-old rose shoots with or without roots from sub-culturing are optimal for transformation, requiring no complicated inoculation media, supplements, or carefully tuned plant growth conditions. This transient expression system was successfully applied to analysis of the gene promoter activities, DNA binding capacity of transcription factors, protein-protein interaction in physiological contexts using luciferase as a reporter gene. This transient transformation system was validated as a robust and efficient platform, thus providing a new option for gene function and signaling pathway investigation in roses and further extending the utility of R. chinensis cv 'Old Blush' as a model plant to study diverse gene function and signaling pathways in Rosaceae.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Master 4 15%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Other 4 15%
Unknown 7 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 58%
Biochemistry, Genetics and Molecular Biology 4 15%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2017.
All research outputs
#18,579,736
of 23,012,811 outputs
Outputs from Plant Methods
#961
of 1,088 outputs
Outputs of similar age
#329,007
of 440,933 outputs
Outputs of similar age from Plant Methods
#32
of 35 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,088 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.