ArticleBMC plant biology2017
Genome-wide SNP identification, linkage map construction and QTL mapping for seed mineral concentrations and contents in pea (Pisum sativum L.).
Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 90 citations in OpenAlex.
- Reconfiguring biofortification strategies to transform food systems and address micronutrient deficiency of the 21st century.Journal of integrative plant biology · 2026Review
- Genome-wide association study of seed mineral nutrients in peas (Pisum sativum L.).The plant genome · 2025Article
- Genome-wide association study of common bean (Phaseolus vulgaris L.) unveils novel loci governing root-to-seed zinc allocation.Scientific reports · 2025Article
- A panomics-driven framework for the improvement of major food legume crops: advances, challenges, and future prospects.Horticulture research · 2025Article
- Integrating QTL mapping and GWAS to decipher the genetic mechanisms behind the calcium contents ofFrontiers in plant science · 2025Article
- Exploring novel SNPs and candidate genes associated with seed allometry inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024Article
- Mapping QTLs for Super-Earliness and Agro-Morphological Traits in RILs Population Derived from Interspecific Crosses betweenCurrent issues in molecular biology · 2023Article
- Quantitative trait loci associated with amino acid concentration andFrontiers in plant science · 2023Article
- High-density linkage mapping and genetic dissection of resistance to broomrape (Frontiers in plant science · 2023Article
- Multi-trait genomic prediction improves selection accuracy for enhancing seed mineral concentrations in pea.The plant genome · 2022Article
- Large-Scale Heat-Tolerance Screening and Genetic Diversity of Pea (Plants (Basel, Switzerland) · 2022Article
- Genome-wide association analysis to delineate high-quality SNPs for seed micronutrient density in chickpea (Cicer arietinum L.).Scientific reports · 2022Article
- The genetic architecture of flowering time changes in pea from wild to crop.Journal of experimental botany · 2022Article
- Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022Review
- Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].BMC genomics · 2022Article
- Integrated breeding approaches to enhance the nutritional quality of food legumes.Frontiers in plant science · 2022Review
- Exploring the Genetic Variability and Potential Correlations Between Nutritional Quality and Agro-Physiological Traits in Kabuli Chickpea Germplasm Collection (Frontiers in plant science · 2022Article
- Genome-wide association studies of mineral and phytic acid concentrations in pea (Pisum sativum L.) to evaluate biofortification potential.G3 (Bethesda, Md.) · 2021Article
- Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Perspectives on the genetic improvement of health- and nutrition-related traits in pea.Plant physiology and biochemistry : PPB · 2021Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMarker-assisted breeding is now routinely used in major crops to facilitate more efficient cultivar improvement. This has been significantly enabled by the use of next-generation sequencing technology to identify loci and markers associated with traits of interest. While rich in a range of nutritional components, such as protein, mineral nutrients, carbohydrates and several vitamins, pea (Pisum sativum L.), one of the oldest domesticated crops in the world, remains behind many other crops in the availability of genomic and genetic resources. To further improve mineral nutrient levels in pea seeds requires the development of genome-wide tools. The objectives of this research were to develop these tools by: identifying genome-wide single nucleotide polymorphisms (SNPs) using genotyping by sequencing (GBS); constructing a high-density linkage map and comparative maps with other legumes, and identifying quantitative trait loci (QTL) for levels of boron, calcium, iron, potassium, magnesium, manganese, molybdenum, phosphorous, sulfur, and zinc in the seed, as well as for seed weight.
resultsIn this study, 1609 high quality SNPs were found to be polymorphic between 'Kiflica' and 'Aragorn', two parents of an F
conclusionThe genome-wide SNPs and the genetic linkage map developed in this study permitted QTL identification for pea seed mineral nutrients that will serve as important resources to enable marker-assisted selection (MAS) for nutritional quality traits in pea breeding programs.
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