Seleção de genes candidatos, identificação e validação de marcadores SNPs para conteúdo de óleo em soja

• Autor(a) principal: Souza, Franciele Barros de
• Data de Publicação: 2013
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/2456
• topic: Óleo de soja; Marcadores SNPs; Soybean oil; SNPs markers; CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::MELHORAMENTO VEGETAL

Soybean is a crop widely distributed in almost all regions of the world. It is a major oilseed produced and become a species of great interest, due to the high content of protein and oil, productivity and the possibility of adaptation to different environments. It has been widely targeted as a renewable raw material, mainly for the production of biodiesel. Different molecular markers are used as tools for understanding the inheritance of quantitative traits and to assist in the selection process. SNPs (Single Nucleotide Polymorphism) markers have been used in association studies based on candidate genes. For that, genotyping technologies for SNP identifying, have shown great advances, as the HRMA (High Resolution Melting analysis), which is a post-PCR method, to identify changes in DNA by observing the distortion that occurs in the samples melting curves. Based on these descriptions the aim of this study was to select candidate genes for soybean oil content, identify SNPs and validate them in one population of RILs (Recombinant Inbred Lines), originated from crosses between parental genotypes Supreme and CD01RR8384. It was selected 25 genes related to lipid biosynthesis in the soybase and, through electronic Northen, it can be seen that these, 14 genes were expressed. In the polymorphisms analysis of the 14 genes, 52 SNPs were found, and with HRMA genotyping on the RIL population, it was observed the homozygous and heterozygous profile, with efficient SNPs identification. Performing the validation of SNPs in the population, we observed that it was not possible to associate them with phenotypic variation. SNPs were distributed randomly, independent of oil content. This lack of correlation may be due to the use of RIL population cultivated in a single environment and the possibility of being selected QTLs small effect.