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The additive effects of GS3 and qGL3 on rice grain length regulation revealed by genetic and transcriptome comparisons

Overview of attention for article published in BMC Plant Biology, June 2015
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Title
The additive effects of GS3 and qGL3 on rice grain length regulation revealed by genetic and transcriptome comparisons
Published in
BMC Plant Biology, June 2015
DOI 10.1186/s12870-015-0515-4
Pubmed ID
Authors

Xiuying Gao, Xiaojun Zhang, Hongxia Lan, Ji Huang, Jianfei Wang, Hongsheng Zhang

Abstract

Grain length, as a critical trait for rice grain size and shape, has a great effect on grain yield and appearance quality. Although several grain size/shape genes have been cloned, the genetic interaction among these genes and the molecular mechanisms of grain size/shape architecture have not yet to be explored. To investigate the genetic interaction between two major grain length loci of rice, GS3 and qGL3, we developed two near-isogenic lines (NILs), NIL-GS3 (GS3/qGL3) and NIL-qgl3 (gs3/qgl3), in the genetic background of 93-11 (gs3/qGL3) by conventional backcrossing and marker-assisted selection (MAS). Another NIL-GS3/qgl3 (GS3/qgl3) was developed by crossing NIL-GS3 with NIL-qgl3 and using MAS. By comparing the grain lengths of 93-11, NIL-GS3, NIL-qgl3 and NIL-GS3/qgl3, we investigated the effects of GS3, qGL3 and GS3 × qGL3 interaction on grain length based on two-way ANOVA. We found that GS3 and qGL3 had additive effects on rice grain length regulation. Comparative analysis of primary panicle transcriptomes in the four NILs revealed that the genes affected by GS3 and qGL3 partially overlapped, and both loci might be involved in brassinosteroid signaling. Our data provide new information to better understand the rice grain length regulation mechanism and help rice breeders improve rice yield and appearance quality by molecular design breeding.

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Mendeley readers

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The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
United States 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 7 12%
Student > Doctoral Student 7 12%
Other 4 7%
Student > Master 4 7%
Other 10 17%
Unknown 15 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 57%
Biochemistry, Genetics and Molecular Biology 7 12%
Social Sciences 1 2%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 June 2015.
All research outputs
#15,338,777
of 22,815,414 outputs
Outputs from BMC Plant Biology
#1,486
of 3,246 outputs
Outputs of similar age
#154,229
of 264,049 outputs
Outputs of similar age from BMC Plant Biology
#36
of 64 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,246 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.