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Genetic diversity and association mapping of mineral element concentrations in spinach leaves

Overview of attention for article published in BMC Genomics, December 2017
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Title
Genetic diversity and association mapping of mineral element concentrations in spinach leaves
Published in
BMC Genomics, December 2017
DOI 10.1186/s12864-017-4297-y
Pubmed ID
Authors

Jun Qin, Ainong Shi, Beiquan Mou, Michael A. Grusak, Yuejin Weng, Waltram Ravelombola, Gehendra Bhattarai, Lingdi Dong, Wei Yang

Abstract

Spinach is a useful source of dietary vitamins and mineral elements. Breeding new spinach cultivars with high nutritional value is one of the main goals in spinach breeding programs worldwide, and identification of single nucleotide polymorphism (SNP) markers for mineral element concentrations is necessary to support spinach molecular breeding. The purpose of this study was to conduct a genome-wide association study (GWAS) and to identify SNP markers associated with mineral elements in the USDA-GRIN spinach germplasm collection. A total of 14 mineral elements: boron (B), calcium (Ca), cobalt (Co), copper (Cu), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn), molybdenum (Mo), sodium (Na), nickel (Ni), phosphorus (P), sulfur (S), and zinc (Zn) were evaluated in 292 spinach accessions originally collected from 29 countries. Significant genetic variations were found among the tested genotypes as evidenced by the 2 to 42 times difference in mineral concentrations. A total of 2402 SNPs identified from genotyping by sequencing (GBS) approach were used for genetic diversity and GWAS. Six statistical methods were used for association analysis. Forty-five SNP markers were identified to be strongly associated with the concentrations of 13 mineral elements. Only two weakly associated SNP markers were associated with K concentration. Co-localized SNPs for different elemental concentrations were discovered in this research. Three SNP markers, AYZV02017731_40, AYZV02094133_57, and AYZV02281036_185 were identified to be associated with concentrations of four mineral components, Co, Mn, S, and Zn. There is a high validating correlation coefficient with r > 0.7 among concentrations of the four elements. Thirty-one spinach accessions, which rank in the top three highest concentrations in each of the 14 mineral elements, were identified as potential parents for spinach breeding programs in the future. The 45 SNP markers strongly associated with the concentrations of the 13 mineral elements: B, Ca, Co, Cu, Fe, Mg, Mn, Mo, Na, Ni, P, S, and Zn could be used in breeding programs to improve the nutritional quality of spinach through marker-assisted selection (MAS). The 31 spinach accessions with high concentrations of one to several mineral elements can be used as potential parents for spinach breeding programs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 16%
Student > Doctoral Student 5 11%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 4 9%
Unknown 13 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 47%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Medicine and Dentistry 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 13 29%
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 06 December 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from BMC Genomics
#9,845
of 11,249 outputs
Outputs of similar age
#385,339
of 445,848 outputs
Outputs of similar age from BMC Genomics
#188
of 212 outputs
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