Caracterização in silico e localização subcelular das enzimas da via das pentoses fosfato em milho

• Autor(a) principal: Gomes, Wellington Silva
• Data de Publicação: 2013
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/1369
• topic: Enzimas; Vias das pentoses fosfato; Localização subcelular; Caracterização in silico; Milho; Enzyme; Pentose phosphate pathway; Subcellular localization; In silico characterization; Maize; CNPQ::CIENCIAS BIOLOGICAS::GENETICA::GENETICA VEGETAL

The availability of sequenced genomes generated a huge volume of information and the current challenge is develop detailed analysis and interpretate, functionally, all data generated. Traditionally, the focus of the research was to learn a particular function and seek the gene responsible. Currently, the situation is reversed. The huge number of unknown genes requires functional characterization. While this characterization is still incipient, softwares have helped increasingly to identify and functionally predict genes by comparing the sequences of known genes from species already characterized. In this study, we sought to develop in silico characterization of genes and enzymes of the Pentose Phosphate Pathway in maize and make the comparison of experimental methods and tools with online predictions, aiming to identify the best available softwares for the predicting the localization of these enzymes. Twenty-three genes were identified in maize, encoding the seven enzymes of the pentose phosphate pathway, where each enzyme in this pathway are encoded by at least two genes. In the evaluations of the distance between the nucleotide sequences and phylogenetic analyzes, different degrees of homology among genes were identified, with generally high similarity between paralogous genes. Ten pathway enzymes have been experimentally characterized and the results of the comparison of methods for subcellular localization suggests that the predictors with multiple projections provided significantly better performance compared to those based on only protein sequences or signal peptides. Thus, besides the characterization of genes and enzymes of the pentose phosphate pathway, It was possible identify the most accurate software to determine the subcellular localization of the enzymes.