↓ Skip to main content

High-efficiency CRISPR/Cas9 multiplex gene editing using the glycine tRNA-processing system-based strategy in maize

Overview of attention for article published in BMC Biotechnology, August 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users
patent
4 patents

Citations

dimensions_citation
165 Dimensions

Readers on

mendeley
192 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High-efficiency CRISPR/Cas9 multiplex gene editing using the glycine tRNA-processing system-based strategy in maize
Published in
BMC Biotechnology, August 2016
DOI 10.1186/s12896-016-0289-2
Pubmed ID
Authors

Weiwei Qi, Tong Zhu, Zhongrui Tian, Chaobin Li, Wei Zhang, Rentao Song

Abstract

CRISPR/Cas9 genome editing strategy has been applied to a variety of species and the tRNA-processing system has been used to compact multiple gRNAs into one synthetic gene for manipulating multiple genes in rice. We optimized and introduced the multiplex gene editing strategy based on the tRNA-processing system into maize. Maize glycine-tRNA was selected to design multiple tRNA-gRNA units for the simultaneous production of numerous gRNAs under the control of one maize U6 promoter. We designed three gRNAs for simplex editing and three multiple tRNA-gRNA units for multiplex editing. The results indicate that this system not only increased the number of targeted sites but also enhanced mutagenesis efficiency in maize. Additionally, we propose an advanced sequence selection of gRNA spacers for relatively more efficient and accurate chromosomal fragment deletion, which is important for complete abolishment of gene function especially long non-coding RNAs (lncRNAs). Our results also indicated that up to four tRNA-gRNA units in one expression cassette design can still work in maize. The examples reported here demonstrate the utility of the tRNA-processing system-based strategy as an efficient multiplex genome editing tool to enhance maize genetic research and breeding.

X Demographics

X Demographics

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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
Denmark 1 <1%
China 1 <1%
Unknown 186 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 18%
Student > Ph. D. Student 30 16%
Student > Master 23 12%
Student > Bachelor 17 9%
Student > Doctoral Student 16 8%
Other 28 15%
Unknown 43 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 40%
Biochemistry, Genetics and Molecular Biology 50 26%
Environmental Science 2 1%
Engineering 2 1%
Arts and Humanities 2 1%
Other 8 4%
Unknown 52 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 January 2023.
All research outputs
#4,299,728
of 23,549,388 outputs
Outputs from BMC Biotechnology
#210
of 948 outputs
Outputs of similar age
#74,727
of 358,274 outputs
Outputs of similar age from BMC Biotechnology
#3
of 14 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 948 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 77% 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 358,274 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 79% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.