P1005Genome-Wide Association Mapping (GWAS) of Nutrient Elements in Seed Using Genotyping By Sequencing (GBS) in Common Bean (Phaseolus vulgaris L.)
Genome-Wide Association Mapping (GWAS) of Nutrient Elements in Seed Using Genotyping By Sequencing (GBS) in Common Bean (Phaseolus vulgaris L.)
Nutrients are essential for human health. Human intake nutrient elements by consuming cereals and legumes. Common bean is a good source of nutrient with protein and carbohydrate additionally contain low fat for human human consumption. In this study, we characterized 43,018 SNPs through GBS analysis among 166 common bean accessions. Of the 10,000 SNPs, after filtering missing data and monomorphic data, therefore only 16,366 SNPs were used for association study. Population structure analysis grouped the accessions into two groups, the Andean and the Mesoamerican. Our purpose with the proposal is to identify SNPs associated with genes controlling accumulation of nutrient elements (Fe, Zn, Ca, Mg, Cu, Se, Mn) in seed by genome-wide association mapping (GWAS) in the Tassel software.. The study was performed across two environments: one field site in Bornova/Turkey, one in Menemen/Turkey. Using General Lineer Model (GLM), a total of 37 SNP marker loci associated with 7 nutrient elements concentration were identified. Mg concentration was associated with the greatest number of markers in two environments. This study demonstrated that association mapping can be successfully applied in common bean breeding for detection of marker-traits associations. Furthermore, these findings may help in the identification of genes associated with the accumulation of essential nutrient elements such as Fe, Zn, Ca, Mg, Cu, Se, Mn and molecular assisted breeding in common bean.
