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Multiplex QTL editing of grain-related genes improves yield in elite rice varieties

Overview of attention for article published in Plant Cell Reports, August 2018
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Multiplex QTL editing of grain-related genes improves yield in elite rice varieties
Published in
Plant Cell Reports, August 2018
DOI 10.1007/s00299-018-2340-3
Pubmed ID
Authors

Jianping Zhou, Xuhui Xin, Yao He, Hongqiao Chen, Qian Li, Xu Tang, Zhaohui Zhong, Kejun Deng, Xuelian Zheng, Sayed Abdul Akher, Guangze Cai, Yiping Qi, Yong Zhang

Abstract

Significant yield increase has been achieved by simultaneous introduction of three trait-related QTLs in three rice varieties with multiplex editing by CRISPR-Cas9. Using traditional breeding approaches to develop new elite rice varieties with high yield and superior quality is challenging. It usually requires introduction of multiple trait-related quantitative trait loci (QTLs) into an elite background through multiple rounds of crossing and selection. CRISPR-Cas9-based multiplex editing of QTLs represents a new breeding strategy that is straightforward and cost effective. To test this approach, we simultaneously targeted three yield-related QTLs for editing in three elite rice varieties, namely J809, L237 and CNXJ. The chosen yield-related QTL genes are OsGS3, OsGW2 and OsGn1a, which have been identified to negatively regulate the grain size, width and weight, and number, respectively. Our approach rapidly generated all seven combinations of single, double and triple mutants for the target genes in elite backgrounds. Detailed analysis of these mutants revealed differential contributions of QTL mutations to yield performance such as grain length, width, number and 1000-grain weight. Overall, the contributions are additive, resulting in 68 and 30% yield per panicle increase in triple mutants of J809 and L237, respectively. Our data hence demonstrates a promising genome editing approach for rapid breeding of QTLs in elite crop varieties.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 21 15%
Student > Master 11 8%
Student > Bachelor 10 7%
Student > Doctoral Student 8 6%
Other 16 12%
Unknown 46 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 33%
Biochemistry, Genetics and Molecular Biology 30 22%
Immunology and Microbiology 3 2%
Earth and Planetary Sciences 2 1%
Nursing and Health Professions 2 1%
Other 7 5%
Unknown 49 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 December 2020.
All research outputs
#2,330,461
of 23,577,654 outputs
Outputs from Plant Cell Reports
#66
of 2,232 outputs
Outputs of similar age
#49,507
of 336,343 outputs
Outputs of similar age from Plant Cell Reports
#3
of 27 outputs
Altmetric has tracked 23,577,654 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 2,232 research outputs from this source. They receive a mean Attention Score of 4.1. 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 336,343 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 85% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.