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Genetic mapping and validation of the loci controlling 7S α′ and 11S A-type storage protein subunits in soybean [Glycine max (L.) Merr.]

Overview of attention for article published in Theoretical and Applied Genetics, December 2017
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Title
Genetic mapping and validation of the loci controlling 7S α′ and 11S A-type storage protein subunits in soybean [Glycine max (L.) Merr.]
Published in
Theoretical and Applied Genetics, December 2017
DOI 10.1007/s00122-017-3027-9
Pubmed ID
Authors

Jeffrey D. Boehm, Vi Nguyen, Rebecca M. Tashiro, Dale Anderson, Chun Shi, Xiaoguang Wu, Lorna Woodrow, Kangfu Yu, Yuhai Cui, Zenglu Li

Abstract

Four soybean storage protein subunit QTLs were mapped using bulked segregant analysis and an F2 population, which were validated with an F5 RIL population. The storage protein globulins β-conglycinin (7S subunit) and glycinin (11S subunits) can affect the quantity and quality of proteins found in soybean seeds and account for more than 70% of the total soybean protein. Manipulating the storage protein subunits to enhance soymeal nutrition and for desirable tofu manufacturing characteristics are two end-use quality goals in soybean breeding programs. To aid in developing soybean cultivars with desired seed composition, an F2 mapping population (n = 448) and an F5 RIL population (n = 180) were developed by crossing high protein cultivar 'Harovinton' with the breeding line SQ97-0263_3-1a, which lacks the 7S α', 11S A1, 11S A2, 11S A3 and 11S A4 subunits. The storage protein composition of each individual in the F2 and F5 populations were profiled using SDS-PAGE. Based on the presence/absence of the subunits, genomic DNA bulks were formed among the F2 plants to identify genomic regions controlling the 7S α' and 11S protein subunits. By utilizing polymorphic SNPs between the bulks characterized with Illumina SoySNP50K iSelect BeadChips at targeted genomic regions, KASP assays were designed and used to map QTLs causing the loss of the subunits. Soybean storage protein QTLs were identified on Chromosome 3 (11S A1), Chromosome 10 (7S α' and 11S A4), and Chromosome 13 (11S A3), which were also validated in the F5 RIL population. The results of this research could allow for the deployment of marker-assisted selection for desired storage protein subunits by screening breeding populations using the SNPs linked with the subunits of interest.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Doctoral Student 4 11%
Researcher 4 11%
Student > Master 4 11%
Student > Bachelor 1 3%
Other 3 8%
Unknown 14 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 39%
Biochemistry, Genetics and Molecular Biology 4 11%
Veterinary Science and Veterinary Medicine 2 5%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 April 2018.
All research outputs
#6,703,346
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,186
of 3,565 outputs
Outputs of similar age
#130,617
of 443,378 outputs
Outputs of similar age from Theoretical and Applied Genetics
#28
of 52 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 66% 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 443,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.