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Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean

Overview of attention for article published in Genome Biology, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
13 X users
patent
1 patent

Readers on

mendeley
293 Mendeley
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1 CiteULike
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Article details
Title
Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean
Published in
Genome Biology, August 2017
DOI 10.1186/s13059-017-1289-9
Pubmed ID
Authors
Abstract

Soybean (Glycine max [L.] Merr.) is one of the most important oil and protein crops. Ever-increasing soybean consumption necessitates the improvement of varieties for more efficient production. However, both correlations among different traits and genetic interactions among genes that affect a single trait pose a challenge to soybean breeding. To understand the genetic networks underlying phenotypic correlations, we collected 809 soybean accessions worldwide and phenotyped them for two years at three locations for 84 agronomic traits. Genome-wide association studies identified 245 significant genetic loci, among which 95 genetically interacted with other loci. We determined that 14 oil synthesis-related genes are responsible for fatty acid accumulation in soybean and function in line with an additive model. Network analyses demonstrated that 51 traits could be linked through the linkage disequilibrium of 115 associated loci and these links reflect phenotypic correlations. We revealed that 23 loci, including the known Dt1, E2, E1, Ln, Dt2, Fan, and Fap loci, as well as 16 undefined associated loci, have pleiotropic effects on different traits. This study provides insights into the genetic correlation among complex traits and will facilitate future soybean functional studies and breeding through molecular design.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 293 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 54 18%
Researcher 46 16%
Student > Master 24 8%
Student > Doctoral Student 14 5%
Student > Bachelor 12 4%
Other 34 12%
Unknown 109 37%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 139 47%
Biochemistry, Genetics and Molecular Biology 26 9%
Engineering 3 1%
Computer Science 2 <1%
Psychology 2 <1%
Other 6 2%
Unknown 115 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 10 March 2026.
All research outputs
#1,491,478
of 32,542,958 outputs
Outputs from Genome Biology
#947
of 5,411 outputs
Outputs of similar age
#22,879
of 345,676 outputs
Outputs of similar age from Genome Biology
#17
of 55 outputs
Altmetric has tracked 32,542,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has done well, scoring higher than 82% 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 345,676 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 93% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.