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Ensifer-mediated transformation: an efficient non-Agrobacterium protocol for the genetic modification of rice

Overview of attention for article published in SpringerPlus, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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3 X users
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2 Wikipedia pages

Citations

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32 Dimensions

Readers on

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56 Mendeley
Title
Ensifer-mediated transformation: an efficient non-Agrobacterium protocol for the genetic modification of rice
Published in
SpringerPlus, October 2015
DOI 10.1186/s40064-015-1369-9
Pubmed ID
Authors

Evelyn Zuniga-Soto, Ewen Mullins, Beata Dedicova

Abstract

While Agrobacterium-mediated transformation (AMT) remains the most widely used technique for gene transfer in plants, interest exists for the use of non-Agrobacterium gene delivery systems due to freedom-to-operate issues that remain with AMT across several jurisdictions. In addition, the plant pathogenic mode of action of Agrobacterium tumefaciens significantly increases the costs to passage engineered cultivars through the regulatory process. Ensifer adhaerens (OV14) is a soil-related bacterium with the proven ability to genetically modify the model plant A. thaliana and the staple crop S. tuberosum (Wendt et al., Trans Res 21:567-578, 2012). While previous work was relevant for dicotyledonous species, in this study, the efficacy of Ensifer adhaerens (OV14)-mediated transformation (EMT) was determined on two japonica rice varieties, Curinga and Nipponbare, and the recalcitrant indica variety, IR64. The results indicated that E. adhaerens (OV14) exhibits infection efficiencies ranging between 50-70 %, 90-100 % and 90-95 % for Curinga, Nipponbare and IR64 respectively. Curinga and Nipponbare plants transformed with E. adhaerens (OV14) and A. tumefaciens (LBA4404 and EHA105) were regenerated achieving transformation efficiencies of 16 % and 26-32 % for Curinga and 7 and 4 % for Nipponbare respectively. Separately, the transformation of IR64 was only recorded via EMT (transformation efficiency ~1 %). Integration analyses conducted on 24 transgenic rice lines illustrated that T-DNA insertion occurred randomly throughout the rice genome for EMT (and AMT), with similar integration patterns in the rice genomic DNA observed for both bacterial species.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 11 20%
Student > Bachelor 6 11%
Student > Master 5 9%
Unspecified 4 7%
Other 6 11%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 45%
Biochemistry, Genetics and Molecular Biology 8 14%
Unspecified 4 7%
Chemical Engineering 1 2%
Environmental Science 1 2%
Other 4 7%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 April 2023.
All research outputs
#6,049,627
of 22,831,537 outputs
Outputs from SpringerPlus
#354
of 1,850 outputs
Outputs of similar age
#73,746
of 279,224 outputs
Outputs of similar age from SpringerPlus
#30
of 128 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 80% of its peers.
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 279,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.