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Expression quantitative trait loci infer the regulation of isoflavone accumulation in soybean (Glycine max L. Merr.) seed

Overview of attention for article published in BMC Genomics, August 2014
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Title
Expression quantitative trait loci infer the regulation of isoflavone accumulation in soybean (Glycine max L. Merr.) seed
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-680
Pubmed ID
Authors

Yan Wang, Yingpeng Han, Weili Teng, Xue Zhao, Yongguang Li, Lin Wu, Dongmei Li, Wenbin Li

Abstract

Mapping expression quantitative trait loci (eQTL) of targeted genes represents a powerful and widely adopted approach to identify putative regulatory variants. Linking regulation differences to specific genes might assist in the identification of networks and interactions. The objective of this study is to identify eQTL underlying expression of four gene families encoding isoflavone synthetic enzymes involved in the phenylpropanoid pathway, which are phenylalanine ammonia-lyase (PAL; EC 4.3.1.5), chalcone synthase (CHS; EC 2.3.1.74), 2-hydroxyisoflavanone synthase (IFS; EC1.14.13.136) and flavanone 3-hydroxylase (F3H; EC 1.14.11.9). A population of 130 recombinant inbred lines (F5:11), derived from a cross between soybean cultivar 'Zhongdou 27' (high isoflavone) and 'Jiunong 20' (low isoflavone), and a total of 194 simple sequence repeat (SSR) markers were used in this study. Overlapped loci of eQTLs and phenotypic QTLs (pQTLs) were analyzed to identify the potential candidate genes underlying the accumulation of isoflavone in soybean seed.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Student > Ph. D. Student 5 17%
Researcher 4 13%
Student > Bachelor 3 10%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 47%
Business, Management and Accounting 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Social Sciences 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 10 33%
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 01 April 2015.
All research outputs
#17,737,508
of 22,778,347 outputs
Outputs from BMC Genomics
#7,555
of 10,643 outputs
Outputs of similar age
#155,785
of 231,156 outputs
Outputs of similar age from BMC Genomics
#108
of 176 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 231,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 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.