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DNA labelling of varieties covered by patent protection: a new solution for managing intellectual property rights in the seed industry

Overview of attention for article published in Transgenic Research, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
2 Wikipedia pages
q&a
1 Q&A thread

Citations

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10 Dimensions

Readers on

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34 Mendeley
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Title
DNA labelling of varieties covered by patent protection: a new solution for managing intellectual property rights in the seed industry
Published in
Transgenic Research, August 2016
DOI 10.1007/s11248-016-9981-1
Pubmed ID
Authors

Karin Fister, Iztok Fister, Jana Murovec, Borut Bohanec

Abstract

Plant breeders' rights are undergoing dramatic changes due to changes in patent rights in terms of plant variety rights protection. Although differences in the interpretation of »breeder's exemption«, termed research exemption in the 1991 UPOV, did exist in the past in some countries, allowing breeders to use protected varieties as parents in the creation of new varieties of plants, current developments brought about by patenting conventionally bred varieties with the European Patent Office (such as EP2140023B1) have opened new challenges. Legal restrictions on germplasm availability are therefore imposed on breeders while, at the same time, no practical information on how to distinguish protected from non-protected varieties is given. We propose here a novel approach that would solve this problem by the insertion of short DNA stretches (labels) into protected plant varieties by genetic transformation. This information will then be available to breeders by a simple and standardized procedure. We propose that such a procedure should consist of using a pair of universal primers that will generate a sequence in a PCR reaction, which can be read and translated into ordinary text by a computer application. To demonstrate the feasibility of such approach, we conducted a case study. Using the Agrobacterium tumefaciens transformation protocol, we inserted a stretch of DNA code into Nicotiana benthamiana. We also developed an on-line application that enables coding of any text message into DNA nucleotide code and, on sequencing, decoding it back into text. In the presented case study, a short command line coding the phrase »Hello world« was transformed into a DNA sequence that was inserted in the plant genome. The encoded message was reconstructed from the resulting T1 seedlings with 100 % accuracy. The feasibility and possible other applications of this approach are discussed.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 5 15%
Student > Master 5 15%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 3 9%
Computer Science 3 9%
Environmental Science 2 6%
Social Sciences 2 6%
Other 5 15%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 10 October 2021.
All research outputs
#2,076,874
of 22,884,315 outputs
Outputs from Transgenic Research
#59
of 893 outputs
Outputs of similar age
#38,433
of 338,387 outputs
Outputs of similar age from Transgenic Research
#2
of 10 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 893 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 particularly well, scoring higher than 93% 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 338,387 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.