Genome-wide association study of vitamin E using genotyping by sequencing in sesame (Sesamum indicum)

Identifying Anti-Oxidant Biosynthesis Genes in Pearl Millet [Pennisetum glaucum (L.) R. Br.] Using Genome—Wide Association Analysis

“…Therefore, to overcome such difficulties, in this study, both the statistical models (MLM and GLM) were applied for antioxidant association, and only the common significantly associated markers were considered to be more reliable. Like us, He et al (2019) had also relied on common MTAs using GLM or MLM for target traits that have a normal distribution.…”

Genome-wide association study and its applications in the non-model crop Sesamum indicum

“…GWAS has been successfully applied to identify associations at a high resolution, detect candidate genes and dissect the quantitative traits in human, animals, and plants [ 16 , 17 ]. GWAS in various economically valuable crops has been used to gain insight into the genetic architecture of important traits, including days to heading, days to flowering panicle architecture, resistance to rice yellow mottle virus, fertility restoration, and agronomic traits in rice [ 18 – 21 ]; pattern of genetic change and evolution [ 22 , 23 ], compositional and pasting properties [ 24 ], stalk biomass [ 25 ] and leaf cuticular conductance [ 26 ] in maize; plant height components and inflorescence architecture [ 27 ], grain size [ 28 ] and grain quality [ 29 ] in sorghum; harvest index in maize [ 30 ], flowering time in canola [ 31 ], stress tolerance, oil content and seed quality [ 32 ] in brassica; oil yield and quality [ 15 ], yield related traits [ 33 , 34 ], drought tolerance [ 35 ], vitamin E [ 36 ] in sesame.…”

“…Recently, advances in next-generation sequencing technologies have facilitated SNP-based genetic diversity analysis in sesame. Globally, high levels of genetic diversity in diverse sesame germplasm from Asia, Europe, America, and Africa were reported (Table 4 ) [ 14 , 15 , 36 , 135 , 136 ].…”

“…Further GWAS panel populations have been recently built from Korean core collections. However, the population size and SNP density were very low: 96 accessions and 5,962 SNPs [ 36 ]; 87 accessions and 8,883 SNPs [ 135 ]. Overall, to explore the genetic bases of economically important agronomic traits and identify possible causative genes, these developed GWAS panels need to be updated by providing more materials reflecting diverse agro-ecological backgrounds worldwide.…”

“…From 2015, several GWAS projects have been successfully implemented in sesame to uncover the genetic bases of key agronomic traits such as oil content, oil nutrient composition, seed yield, and yield-related components, seed coat color, morphological characteristics, disease resistance salt tolerance, waterlogging resistance, drought tolerance, root traits and nutritional values [ 15 , 33 – 36 , 135 , 136 , 148 ]. As to our knowledge, all GWAS projects conducted so far in sesame were based on a single-locus method (EMMA) and the majority was implemented on the GWAS panel developed at OCRI-CAAS.…”