Associação genômica ampla para conteúdo de proteína, óleo e ácidos graxos em soja

• Autor(a) principal: Gonçalves, Bianca Muriel
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/10330
• topic: Glycine max; GWAS; Melhoramento de soja; Genes candidatos; Soybean breeding; Candidate gene; CIENCIAS AGRARIAS::AGRONOMIA

There has been growing interest in breeding programs with the aim of the development of superior soybean genotypes for specific purposes, such as human feed. Therefore, traits such as protein, oil, and fatty acids content are important to achieve these purposes. The aim of this research was to identify genomic regions associated with the protein, oil, and fatty acids contents (palmitic, stearic, oleic, linoleic, and linolenic acids) in seed, in 416 soybean accessions through genome-wide association studies. The phenotypic data were obtained through a field trial carried out in augmented blocks of Federer at the experimental unit of Seagro-GO, in Senador Canedo-GO, in 2007/2008 growing season. The contents of protein, oil, and fatty acids was quantified by specific methods from the seeds. The accessions were genotyped with the Illumina Infinium SoySNP50K Bead Chip with 52.041 single nucleotide polymorphisms (SNPs) markers. It was found that there are no genetic structure patterns or kinship in the panel, an ideal condition for the analysis. Following broad genomic association analysis, twelve significant SNPs located on seven chromosomes were identified: three significant SNPs for oil and protein content in seed, two SNPs for stearic acid content in seed and one SNP for each of the remaining traits. Candidate genes included transcription factors and enzymes related directly or indirectly to the characters analyzed. Detected markers can support identify genotypes with traits of interest.