Revisão de classificação de bactérias utilizando dados genômicos

Abstract

Bioinformatics is an important tool in several areas of science, and it can be used for the reclassification of organisms from the Archaea and Bacteria kingdoms. Using tools to calculate the average nucleotide identity, gene annotation and pan-genome analysis, it can be identified possible inconsistencies in the classification of bacteria. It was made a massive analysis of genomic data from two bacterial genera of medical interest Brucella and Micrococcus responsible for causing chronic diseases and nosocomial infections, respectively. The methodology used was nucleotide similarity analysis, genomic annotation, pan-genome analysis and annotation of genes of interest. In this study we propose reclassifications for both genera studied and we point out proposals for new poorly classified species and others not yet identified.