Abordagens bioinformáticas no estudo pangenômico de Xanthomonas campestris

Abstract

Xanthomonas campestris is a gram-negative phytopathogenic bacteria that has different pathovars, which present specificity to the host, disease and mode of infection. The hosts of this species are of economic importance, such as grapes, kale, peppers, and other plants of the genus Brassica. In this dissertation, different bioinformatics strategies are presented in the genomic analysis of X. campestris pathovars. The genomes were obtained from the NCBI database, and structurally re-annotated using the GENIX tool. The pangenome analysis was performed using the GET_HOMOLOGUES, which made it possible to identify orthologous groups. Also was possible to establish the core, soft, shell, and cloud genome. The metabolic annotation of the pathovars was performed using the antiSMASH, and BlastKoala tools, as well as the differentially distributed genes related to pathogenesis processes and virulence factors, such as TAL effectors, xanthan gum and DSF factor, were analyzed through sequence alignment. Through the bioinformatics approaches used in this work, it was possible to identify genomic characteristics, which are relevant for understanding the pathogenesis of each pathovar, as well as identifying genes with biotechnological potential.