↓ Skip to main content

Targeted association mapping demonstrating the complex molecular genetics of fatty acid formation in soybean

Overview of attention for article published in BMC Genomics, October 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Targeted association mapping demonstrating the complex molecular genetics of fatty acid formation in soybean
Published in
BMC Genomics, October 2015
DOI 10.1186/s12864-015-2049-4
Pubmed ID
Authors

Ying-hui Li, Jochen C. Reif, Yan-song Ma, Hui-long Hong, Zhang-xiong Liu, Ru-zhen Chang, Li-juan Qiu

Abstract

The relative abundance of five dominant fatty acids (FAs) (palmitic, stearic, oleic, linoleic and linolenic acids) is a major factor determining seed quality in soybean. To clarify the currently poorly understood genetic architecture of FAs in soybean, targeted association analysis was conducted in 421 diverse accessions phenotyped in three environments and genotyped using 1536 pre-selected SNPs. The population of 421 soybean accessions displayed significant genetic variation for each FA. Analysis of the molecular data revealed three subpopulations, which reflected a trend depending on latitude of cultivation. A total of 37 significant (p < 0.01) associations with FAs were identified by association mapping analysis. These associations were represented by 33 SNPs (occurring in 32 annotated genes); another four SNPs had a significant association with two different FAs due to pleiotropic interactions. The most significant associations were cross-verified by known genes/QTL or consistency across cultivation year and subpopulations. The detected marker-trait associations represent a first important step towards the implementation of molecular-marker-based selection of FA composition with the potential to substantially improve the seed quality of soybean with benefits for human health and for food processing.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 7 15%
Student > Master 6 13%
Student > Doctoral Student 5 11%
Student > Bachelor 3 7%
Other 7 15%
Unknown 11 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 2 4%
Nursing and Health Professions 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 16 35%
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 24 October 2015.
All research outputs
#18,429,163
of 22,830,751 outputs
Outputs from BMC Genomics
#8,183
of 10,655 outputs
Outputs of similar age
#204,158
of 283,600 outputs
Outputs of similar age from BMC Genomics
#310
of 354 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 283,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 354 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.