Structural and functional genomics analysis of methyltransferase genes and networks associate to understand antibiotic resistance inside the pangenome of Pseudomonas aeruginosa

Abstract

Multi-drug resistant Pseudomonas aeruginosa has multiple issues, all associated with the diverse genetic and epigenetics traits present in this pathogen, ranging from multidrug resistant genes to the molecular machinery for the biosynthesis of biofilms developed by quorum sensing. In this work was established bioinformatics strategy to study resistance inside the pangenome and compared with Colombian resistant strains. Using the information hosted in PATRIC database of P. aeruginosa from 200 genomes, was very important to understand the genomics structure and the relationship between antibiotic resistance associated to rsmH, rsmG and rsmI methyltransferases genes and proteins. This bioinformatics analysis and the sequencing of rsmG, rsmH and rsmI in P. aeruginosa from Colombia, was useful, establishing a correlation inside the pangenome from this bacteria. There is an association between genomic structure and function to draw together antibiotic resistance with those genes in the pangenome.