ArticlePloS one2021
Genome-wide association study of seed coat color in sesame (Sesamum indicum L.).
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding.Horticulture research · 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
- Article
- Integrating Meta-QTL Analysis and Genome-Wide Association Mapping in Ethiopian Sesame (Plants (Basel, Switzerland) · 2026Article
- Local adaptation of both plant and pathogen: an arms-race compromise in switchgrass rust.The New phytologist · 2025Article
- Exploring the Diversity in Oil Content, Fatty Acid Profiles, and Seed Coat Color in Sudanese Sesame Germplasm: Implications for Breeding and Crop Improvement.Plant-environment interactions (Hoboken, N.J.) · 2025Article
- Genome-wide association scan and candidate gene analysis for seed coat color in sesame (Frontiers in plant science · 2025Article
- Genome-Wide Association Study on Cowpea seed coat color using RGB images.Molecular breeding : new strategies in plant improvement · 2024Article
- Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame.The plant genome · 2024Article
- Integrated metabolomic and transcriptomic dynamic profiles of endopleura coloration during fruit maturation in three walnut cultivars.BMC plant biology · 2024Article
- Omics technologies towards sesame improvement: a review.Molecular biology reports · 2023Review
- Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement.International journal of molecular sciences · 2023Review
- Resequencing of 410 Sesame Accessions Identifies SINST1 as the Major Underlying Gene for Lignans Variation.International journal of molecular sciences · 2023Article
- Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame.Frontiers in genetics · 2023Article
- Genetic mapping of QTLs controlling brown seed coat traits by genome resequencing in sesame (Frontiers in plant science · 2023Article
- QTL analysis of traits related to seed size and shape in sesame (Sesamum indicum L.).PloS one · 2023Article
- Sesame (Nutrients · 2022Review
- Discovering favorable genes, QTLs, and genotypes as a genetic resource for sesame (Frontiers in genetics · 2022Review
- Revealing seed color variation and their possible association with yield and quality traits in a diversity panel of flax (Frontiers in plant science · 2022Article
- Current Research Trends and Prospects for Yield and Quality Improvement in Sesame, an Important Oilseed Crop.Frontiers in plant science · 2022Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sesame (Sesamum indicum L.) is an important and ancient oilseed crop. Sesame seed coat color is related to biochemical functions involved in protein and oil metabolism, and antioxidant content. Because of its complication, the genetic basis of sesame seed coat color remains poorly understood. To elucidate the factors affecting the genetic architecture of seed coat color, 366 sesame germplasm lines were evaluated for seed coat color in 12 environments. The genome-wide association studies (GWAS) for three seed coat color space values, best linear unbiased prediction (BLUP) values from a multi-environment trial analysis and principal component scores (PCs) of three seed coat color space values were conducted. GWAS for three seed coat color space values identified a total of 224 significant single nucleotide polymorphisms (SNPs, P < 2.34×10-7), with phenotypic variation explained (PVE) ranging from 1.01% to 22.10%, and 35 significant SNPs were detected in more than 6 environments. Based on BLUP values, 119 significant SNPs were identified, with PVE ranging from 8.83 to 31.98%. Comparing the results of the GWAS using phenotypic data from different environments and the BLUP values, all significant SNPs detected in more than 6 environments were also detected using the BLUP values. GWAS for PCs identified 197 significant SNPs, and 30 were detected in more than 6 environments. GWAS results for PCs were consistent with those for three color space values. Out of 224 significant SNPs, 22 were located in the confidence intervals of previous reported quantitative trait loci (QTLs). Finally, 92 candidate genes were identified in the vicinity of the 4 SNPs that were most significantly associated with sesame seed coat color. The results in this paper will provide new insights into the genetic basis of sesame seed coat color, and should be useful for molecular breeding in sesame.
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