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Accelerated ex situ breeding of GBSS- and PTST1-edited cassava for modified starch

Overview of attention for article published in Science Advances, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
13 news outlets
blogs
5 blogs
twitter
105 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

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114 Dimensions

Readers on

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145 Mendeley
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Title
Accelerated ex situ breeding of GBSS- and PTST1-edited cassava for modified starch
Published in
Science Advances, September 2018
DOI 10.1126/sciadv.aat6086
Pubmed ID
Authors

Simon E Bull, David Seung, Christelle Chanez, Devang Mehta, Joel-Elias Kuon, Elisabeth Truernit, Anton Hochmuth, Irene Zurkirchen, Samuel C Zeeman, Wilhelm Gruissem, Hervé Vanderschuren

Abstract

Crop diversification required to meet demands for food security and industrial use is often challenged by breeding time and amenability of varieties to genome modification. Cassava is one such crop. Grown for its large starch-rich storage roots, it serves as a staple food and a commodity in the multibillion-dollar starch industry. Starch is composed of the glucose polymers amylopectin and amylose, with the latter strongly influencing the physicochemical properties of starch during cooking and processing. We demonstrate that CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9)-mediated targeted mutagenesis of two genes involved in amylose biosynthesis, PROTEIN TARGETING TO STARCH (PTST1) or GRANULE BOUND STARCH SYNTHASE (GBSS), can reduce or eliminate amylose content in root starch. Integration of the Arabidopsis FLOWERING LOCUS T gene in the genome-editing cassette allowed us to accelerate flowering-an event seldom seen under glasshouse conditions. Germinated seeds yielded S1, a transgene-free progeny that inherited edited genes. This attractive new plant breeding technique for modified cassava could be extended to other crops to provide a suite of novel varieties with useful traits for food and industrial applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 105 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 17%
Student > Ph. D. Student 21 14%
Student > Master 13 9%
Student > Bachelor 10 7%
Other 8 6%
Other 18 12%
Unknown 51 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 32%
Biochemistry, Genetics and Molecular Biology 25 17%
Business, Management and Accounting 3 2%
Engineering 2 1%
Chemistry 2 1%
Other 10 7%
Unknown 56 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 191. 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 01 April 2021.
All research outputs
#212,469
of 25,734,859 outputs
Outputs from Science Advances
#1,728
of 12,489 outputs
Outputs of similar age
#4,307
of 346,348 outputs
Outputs of similar age from Science Advances
#41
of 226 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.9. This one has done well, scoring higher than 86% 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 346,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.