Evidence map›Paper›PMID 29202697›Full record

ArticleBMC genomics2017

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

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

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Spinach (Foods (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Article
  16. Potato biofortification: an effective way to fight global hidden hunger.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Jun QinDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA. junqin@uark.edu.
Ainong ShiDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA. ashi@uark.edu.ORCID http://orcid.org/0000-0002-1066-7920
Beiquan MouCrop Improvement and Protection Research Unit, USDA-ARS, Salinas, CA, 93905, USA.
Michael A GrusakUSDA-ARS Red River Valley Agricultural Research Center, Fargo, ND, 58102, USA.
Yuejin WengDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
Waltram RavelombolaDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
Gehendra BhattaraiDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
Lingdi DongDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
Wei YangDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.

Funding

National Plant Germplasm System (NPGS) 58-5030-6-076USDA National Institute of Food and Agriculture Hatch project 1002423
6 · The paper itself

Abstract

backgroundSpinach 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.

resultsA 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.

conclusionsThe 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.

Indexed as

Genetic VariationPolymorphism, Single NucleotideGenome-Wide Association StudyMineralsPlant BreedingPlant LeavesSequence Analysis, DNASpinacia oleraceaMineralsGenome-wide association study (GWAS)Genotyping by sequencing (GBS)Mineral elementsSingle nucleotide polymorphism (SNP)SpinachSpinacia oleracea L.

Identifiers

PMID29202697
PMCPMC5715654

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.