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Agrobacterium-mediated floral dip transformation of the model polyploid species Arabidopsis kamchatica

Overview of attention for article published in Journal of Plant Research, October 2017
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Title
Agrobacterium-mediated floral dip transformation of the model polyploid species Arabidopsis kamchatica
Published in
Journal of Plant Research, October 2017
DOI 10.1007/s10265-017-0982-9
Pubmed ID
Authors

Chow-Lih Yew, Hiroyuki Kakui, Kentaro K. Shimizu

Abstract

Polyploidization has played an important role in the speciation and diversification of plant species. However, genetic analyses of polyploids are challenging because the vast majority of the model species are diploids. The allotetraploid Arabidopsis kamchatica, which originated through the hybridization of the diploid Arabidopsis halleri and Arabidopsis lyrata, is an emerging model system for studying various aspects of polyploidy. However, a transgenic method that allows the insertion of a gene of interest into A. kamchatica is still lacking. In this study, we investigated the early development of pistils in A. kamchatica and confirmed the formation of open pistils in young flower buds (stages 8-9), which is important for allowing Agrobacterium to access female reproductive tissues. We established a simple Agrobacterium-mediated floral dip transformation method to transform a gene of interest into A. kamchatica by dipping A. kamchatica inflorescences bearing many young flower buds into a 5% sucrose solution containing 0.05% Silwet L-77 and Agrobacterium harboring the gene of interest. We showed that a screenable marker comprising fluorescence-accumulating seed technology with green fluorescent protein was useful for screening the transgenic seeds of two accessions of A. kamchatica subsp. kamchatica and an accession of A. kamchatica subsp. kawasakiana.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Researcher 5 16%
Student > Master 4 13%
Professor 2 6%
Other 2 6%
Unknown 8 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 7 22%
Unspecified 1 3%
Earth and Planetary Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 March 2018.
All research outputs
#14,956,881
of 23,006,268 outputs
Outputs from Journal of Plant Research
#542
of 835 outputs
Outputs of similar age
#192,995
of 326,300 outputs
Outputs of similar age from Journal of Plant Research
#5
of 13 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 835 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 31st percentile – i.e., 31% 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 326,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.