Genome-wide association study for seed protein and fatty acids in soybean

• Grant number: 16/01823-9
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants
• Start date: October 01, 2016
• End date: March 31, 2019
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Regina Helena Geribello Priolli
• Grantee: Regina Helena Geribello Priolli
• Host Institution: Pró-Reitoria Acadêmica. Universidade Santa Cecília (UNISANTA). Santos , SP, Brazil

Abstract

Soybeans are major source of protein and vegetable oil in the world being grown commercially for food and feed. Soybean oil contains approximately 11, 4, 23, 54, and 8% palmitic (16:0), stearic (18:0), oleic (18:1), linoleic (18:2), and linolenic (18:3) acid, respectively. The amounts and relative proportions of each fatty acid are important factors, as they affect the flavor, stability, and nutritional value of the oil. Traditional methods of soybean breeding have been successful in increasing the protein and oil content of soybean seeds. However, the negative correlations between protein versus yield seeds and oil content, has hampered the simultaneous increase of the yield seeds and protein content. Techniques including the partial sequencing of genomes and its reduction of complexity have been employed for assisted selection of crop breeding. The discovery of markers with genome-wide coverage, as the SNP (Single Nucleotide Polymorphism), has provided useful results for genomic selection due to the high quality of its data, the co dominant inheritance and the reduction in the cost of the sample because of automation. The objective of this work is the validation and discovery of SNP loci, by using the Illumina Infinium BeadChip technique and then after, we are going to use association mapping of traits related to fatty acids (previously studied) and protein content (not studied) in 100 soybean accessions in Brazilian field conditions. We intend to provide and identify useful markers to increase soybean oil quality and protein content in breeding programs. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PRIOLLI, R. H. G.; CARVALHO, C. R. L.; BAJAY, M. M.; PINHEIRO, J. B.; VELLO, N. A.. Genome analysis to identify SNPs associated with oil content and fatty acid components in soybean. EUPHYTICA, v. 215, n. 3, FEB 2019. (16/01823-9)