ArticleFrontiers in plant science2025
Genome-wide association scan and candidate gene analysis for seed coat color in sesame (
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genome-wide variation analysis of two Salvia hispanica L. genotypes and implication for associations with metabolic and adaptive traits.Journal, genetic engineering & biotechnology · 2026Article
- Charcoal rot in sesame: infection biology, host resistance mechanism, and genomic-enabled strategies for durable resistance breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Integrating Meta-QTL Analysis and Genome-Wide Association Mapping in Ethiopian Sesame (Plants (Basel, Switzerland) · 2026Article
- Genome-wide association study to identification of candidate genes influencing key seed traits in Perilla frutescens.BMC plant biology · 2025Article
- Fine mapping and identification of the geneFrontiers in plant science · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Seed coat color in sesame is a crucial trait for breeding programs as it is closely associated with important characteristics such as oil content, protein levels, and disease resistance, which directly influence seed quality and market value. Methods: This study investigates the genetic basis of seed coat color in 200 Sudanese sesame genotypes grown for two consecutive years through comprehensive phenotyping, genomic diversity analysis, genome-wide association studies (GWAS), and candidate gene discovery. Results and discussion: Phenotypic analysis across two growing seasons revealed high heritability and significant correlations among color parameters (L*, a*, and b*), indicating strong genetic control over seed coat color. The genomic analysis identified distinct clusters among sesame accessions, with rapid linkage disequilibrium decay suggesting a high level of recombination. GWAS identified significant SNPs associated with seed coat color traits, revealing key genomic regions on chromosomes 3, 6, 9, 12, and 13. Candidate gene analysis highlighted several genes, including
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Registered trials
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