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Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 System

Overview of attention for article published in Frontiers in Plant Science, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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1 news outlet
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400 Mendeley
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Title
Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 System
Published in
Frontiers in Plant Science, March 2016
DOI 10.3389/fpls.2016.00377
Pubmed ID
Authors

Meiru Li, Xiaoxia Li, Zejiao Zhou, Pingzhi Wu, Maichun Fang, Xiaoping Pan, Qiupeng Lin, Wanbin Luo, Guojiang Wu, Hongqing Li

Abstract

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated (Cas) systems have been successfully used as efficient tools for genome editing in a variety of species. We used the CRISPR/Cas9 system to mutate the Gn1a (Os01g0197700), DEP1 (Os09g0441900), GS3 (Os03g0407400), and IPA1 (Os08g0509600) genes of rice cultivar Zhonghua 11, genes which have been reported to function as regulators of grain number, panicle architecture, grain size and plant architecture, respectively. Analysis of the phenotypes and frequencies of edited genes in the first generation of transformed plants (T0) showed that the CRISPR/Cas9 system was highly efficient in inducing targeted gene editing, with the desired genes being edited in 42.5% (Gn1a), 67.5% (DEP1), 57.5% (GS3), and 27.5% (IPA1) of the transformed plants. The T2 generation of the gn1a, dep1, and gs3 mutants featured enhanced grain number, dense erect panicles, and larger grain size, respectively. Furthermore, semi-dwarf, and grain with long awn, phenotypes were observed in dep1 and gs3 mutants, respectively. The ipa1 mutants showed two contrasting phenotypes, having either fewer tillers or more tillers, depending on the changes induced in the OsmiR156 target region. In addition, we found that mutants with deletions occurred more frequently than previous reports had indicated and that off-targeting had taken place in highly similar target sequences. These results proved that multiple regulators of important traits can be modified in a single cultivar by CRISPR/Cas9, and thus facilitate the dissection of complex gene regulatory networks in the same genomic background and the stacking of important traits in cultivated varieties.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Sri Lanka 1 <1%
Italy 1 <1%
Argentina 1 <1%
Unknown 396 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 20%
Researcher 54 14%
Student > Master 44 11%
Student > Bachelor 36 9%
Student > Doctoral Student 18 5%
Other 60 15%
Unknown 109 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 176 44%
Biochemistry, Genetics and Molecular Biology 74 19%
Environmental Science 7 2%
Unspecified 6 2%
Chemistry 5 1%
Other 22 6%
Unknown 110 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 20 November 2021.
All research outputs
#1,740,650
of 25,503,365 outputs
Outputs from Frontiers in Plant Science
#594
of 24,762 outputs
Outputs of similar age
#28,542
of 315,275 outputs
Outputs of similar age from Frontiers in Plant Science
#10
of 510 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 315,275 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 90% of its contemporaries.
We're also able to compare this research output to 510 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.