Otimização do mapeamento genético vegetal via simulação computacional

• Autor(a) principal: BRITO, Silvan Gomes de
• Data de Publicação: 2012
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
• Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/6513
• topic: Marcador genético; Mapa de ligação; Duplo-haplóide; Melhoramento genético; Genetic marker; Linkage map; Double-haploid; Genetic improvement; FITOTECNIA::MELHORAMENTO VEGETAL

Genetic mapping based on the planning and establishment of the linear distance between marks associated with genes responsible for controlling qualitative and quantitative characteristics. The construction of genetic maps is considered the most impact applications of the technology of molecular markers in genetic analysis of species, potentially in plant breeding. A genetic map of linkage may be low, medium and high resolution in accordance with the greater or lesser number of genes or ordered markers. A factor of considerable importance to obtain consistent data that result in more accurate maps is the sample size or population, level of saturation in the linkage groups and marker type to be used. Thus, the aim of this work was to estimate the optimum size of population and saturation of the genomes were generated with saturation levels of 5, 10 and 20 cM, containing 210, 110, and marks 60, respectively, and F2 populations double-haploid populations. Each genome was composed of 10 linkage groups, with a size of 100 cM each. For each level of saturation of the genome populations were generated at 100, 200, 300, 500, 800 and 1000 individuals, with 100 replicates, each codominant and dominant markers used when the type F2 populations were dominant and only double-haploid populations. These populations were mapped using LODmín 3 and a maximum frequency of recombination of 30%. From the maps obtained were extracted information regarding the number of linkage groups and marks for group, size of linkage group, distance between adjacent marks, variance of the distances between adjacent marks, marks inversion obtained by Spearman correlation and degree of agreement of distances on maps with the original genome, obtained by the stress. Populations of the same size tend to produce maps with greater accuracy in higher levels of genome saturation. The optimum size of F2 populations for genetic mapping must be of at least 200 individuals when codominant markers are of type and 300 when the markers are the dominant type, regardless of the saturation level of the genome. While double-haploid populations in the optimal size was 200, 500 and 1000 individuals when the saturation levels of the genome were 5, 10 and 20 cM, respectively.