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Genome Editing in Cotton with the CRISPR/Cas9 System

Overview of attention for article published in Frontiers in Plant Science, August 2017
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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 policy source
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5 X users

Citations

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176 Dimensions

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180 Mendeley
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Title
Genome Editing in Cotton with the CRISPR/Cas9 System
Published in
Frontiers in Plant Science, August 2017
DOI 10.3389/fpls.2017.01364
Pubmed ID
Authors

Wei Gao, Lu Long, Xinquan Tian, Fuchun Xu, Ji Liu, Prashant K. Singh, Jose R. Botella, Chunpeng Song

Abstract

Genome editing is an important tool for gene functional studies as well as crop improvement. The recent development of the CRISPR/Cas9 system using single guide RNA molecules (sgRNAs) to direct precise double strand breaks in the genome has the potential to revolutionize agriculture. Unfortunately, not all sgRNAs are equally efficient and it is difficult to predict their efficiency by bioinformatics. In crops such as cotton (Gossypium hirsutum L.), with labor-intensive and lengthy transformation procedures, it is essential to minimize the risk of using an ineffective sgRNA that could result in the production of transgenic plants without the desired CRISPR-induced mutations. In this study, we have developed a fast and efficient method to validate the functionality of sgRNAs in cotton using a transient expression system. We have used this method to validate target sites for three different genes GhPDS, GhCLA1, and GhEF1 and analyzed the nature of the CRISPR/Cas9-induced mutations. In our experiments, the most frequent type of mutations observed in cotton cotyledons were deletions (∼64%). We prove that the CRISPR/Cas9 system can effectively produce mutations in homeologous cotton genes, an important requisite in this allotetraploid crop. We also show that multiple gene targeting can be achieved in cotton with the simultaneous expression of several sgRNAs and have generated mutations in GhPDS and GhEF1 at two target sites. Additionally, we have used the CRISPR/Cas9 system to produce targeted gene fragment deletions in the GhPDS locus. Finally, we obtained transgenic cotton plants containing CRISPR/Cas9-induced gene editing mutations in the GhCLA1 gene. The mutation efficiency was very high, with 80.6% of the transgenic lines containing mutations in the GhCLA1 target site resulting in an intense albino phenotype due to interference with chloroplast biogenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 180 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 16%
Researcher 26 14%
Student > Ph. D. Student 16 9%
Student > Bachelor 12 7%
Student > Doctoral Student 10 6%
Other 25 14%
Unknown 63 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 35%
Biochemistry, Genetics and Molecular Biology 37 21%
Economics, Econometrics and Finance 2 1%
Engineering 2 1%
Medicine and Dentistry 2 1%
Other 7 4%
Unknown 67 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 January 2018.
All research outputs
#5,597,934
of 22,999,744 outputs
Outputs from Frontiers in Plant Science
#2,795
of 20,486 outputs
Outputs of similar age
#88,168
of 317,590 outputs
Outputs of similar age from Frontiers in Plant Science
#83
of 504 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,486 research outputs from this source. They receive a mean Attention Score of 3.9. 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 317,590 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 72% of its contemporaries.
We're also able to compare this research output to 504 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.