ArticleScientific reports2021
Genome-wide association study identified candidate genes for seed size and seed composition improvement in M. truncatula.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Molecular Network Analysis in Model and Non-Model Legumes: Challenges in Omics Data Interpretation Across Species, with a Focus onPlants (Basel, Switzerland) · 2025Review
- Integrative analysis of seed morphology, geographic origin, and genetic structure in Medicago with implications for breeding and conservation.BMC plant biology · 2025Article
- Automatic Measurement of Seed Geometric Parameters Using a Handheld Scanner.Sensors (Basel, Switzerland) · 2024Article
- Exploring novel SNPs and candidate genes associated with seed allometry inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024Article
- Combining Hyperspectral Techniques and Genome-Wide Association Studies to Predict Peanut Seed Vigor and Explore Associated Genetic Loci.International journal of molecular sciences · 2024Article
- Analyzing Medicago spp. seed morphology using GWAS and machine learning.Scientific reports · 2024Article
- Transcriptome analysis of ovules offers early developmental clues after fertilization in3 Biotech · 2023Article
- Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.BMC plant biology · 2023Article
- A Pathway to Assess Genetic Variation of Wheat Germplasm by Multidimensional Traits with Digital Images.Plant phenomics (Washington, D.C.) · 2023Article
- Genome-Wide Association Study Revealed SNP Alleles Associated with Seed Size Traits in African Yam Bean (Genes · 2022Article
- Experimental Evidence for Seed Metabolic Allometry in Barrel Medic (International journal of molecular sciences · 2022Article
- Compound-SpecificInternational journal of molecular sciences · 2022Article
- Genome-Wide Association Study to Map Genomic Regions Related to the Initiation Time of Four Growth Stage Traits in Soybean.Frontiers in genetics · 2021Article
- Genome-Wide Association Studies of Seed Performance Traits in Response to Heat Stress inFrontiers in plant science · 2021Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Grain legumes are highly valuable plant species, as they produce seeds with high protein content. Increasing seed protein production and improving seed nutritional quality represent an agronomical challenge in order to promote plant protein consumption of a growing population. In this study, we used the genetic diversity, naturally present in Medicago truncatula, a model plant for legumes, to identify genes/loci regulating seed traits. Indeed, using sequencing data of 162 accessions from the Medicago HAPMAP collection, we performed genome-wide association study for 32 seed traits related to seed size and seed composition such as seed protein content/concentration, sulfur content/concentration. Using different GWAS and postGWAS methods, we identified 79 quantitative trait nucleotides (QTNs) as regulating seed size, 41 QTNs for seed composition related to nitrogen (i.e. storage protein) and sulfur (i.e. sulfur-containing amino acid) concentrations/contents. Furthermore, a strong positive correlation between seed size and protein content was revealed within the selected Medicago HAPMAP collection. In addition, several QTNs showed highly significant associations in different seed phenotypes for further functional validation studies, including one near an RNA-Binding Domain protein, which represents a valuable candidate as central regulator determining both seed size and composition. Finally, our findings in M. truncatula represent valuable resources to be exploitable in many legume crop species such as pea, common bean, and soybean due to its high synteny, which enable rapid transfer of these results into breeding programs and eventually help the improvement of legume grain production.
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