Project description:Studies of expression of mechanims of defense of the Acinetobacter sp.5-2Ac.02 from airborne hospital environment under stress conditions, such as SOS response (ROS response, heavy metals resistant mechanisms, peptides), as well as Quorum network (acetoin cluster and aromatics biodegradation cluster). Characterization functional of AcoN-like as negative regulator protein from acetoin cluster in Acinetobacter spp. Strains
Project description:Two Acinetobacter baumannii strains with low susceptibility to fosmidomycin and two reference with high susceptibility to fosmidomycin were DNA-sequenced to investigate the genomic determinants of fosmidomycin resistance.
Project description:We performed RNAseq for gene expression analysis for six strains of Acinetobacter Baumannii isolated from blood samples (defined as strains 1, 2, 3, 4 and 6) of patients hospitalized at the University Hospital \\"San Giovanni di Dio e Ruggi d'Aragona\\" (Salerno, Italy)
Project description:We analyzed the extracellular proteome of colistin-resistant Korean Acinetobacter baumannii (KAB) strains to identify proteome profiles that can be used to characterize extensively drug-resistant KAB strains.
Project description:We report the transcriptional expression from wild type, a ponA mutant, and lipooligosaccharide-deficient A. baumannii in order to understand the cellular changes after inactivation of lipid A biosynthesis. Among all strains, genes in the Localization Of Lipoprotein (Lol) transport pathway were upregulated. This study provides a framework to understand how some Acinetobacter baumannii strains can survive without lipid A and lipopolysaccharide/lipooligosaccharide.
Project description:Using Nanopore sequencing, our study has revealed a close correlation between genomic methylation levels and antibiotic resistance rates in Acinetobacter Baumannii. Specifically, the combined genome-wide DNA methylome and transcriptome analysis revealed the first epigenetic-based antibiotic-resistance mechanism in A. baumannii. Our findings suggest that the precise location of methylation sites along the chromosome could provide new diagnostic markers and drug targets to improve the management of multidrug-resistant A. baumannii infections.
Project description:This model is part of a collection comprising eight strain-specific genome-scale metabolic models of five different Acinetobacter baumannii strains, seven of which have been previously published and were now collected and carefully curated. All models were checked with the SBML validator, MEMOTE, and FROG. The covered strains include Acinetobacter baumannii AYE, AB0057, ATCC 19606, ATCC 17978, and AB5075.
