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Objectives: Acinetobacter baumannii is a major cause of ventilator-associated-pneumonia (VAP) worldwide due to its impressive propensity to rapidly acquire resistance elements to a wide range of antibacterial agents. We sought to explore the genomic features of this pathogen from a sputum specimen of a VAP male patient., Methods: Whole genome analysis of A. baumannii DMS06670 included de novo assembly; functional annotation, whole-genome-phylogenetic analysis, antibiotics genes identification, prophage regions, virulent factor and pan-genome analysis., Results: Assembly of whole-genome shotgun sequences of strain DMS06670 yielded an estimated genome size of 3.8 Mb with Sequence Type 447. Functional annotation and orthologous protein cluster analysis identified several potential antibiotic resistance genes was conducted (with 1 novel gene), prophage regions, virulent factors. The clusters of orthologous groups (COGs) analysis in protein sequence of the A. baumannii strain was compared with the other five genomes showed that the orthologous protein clusters responsible for multi-drug exist inside highly antimicrobial resistant strains. Whole-genome phylogenetic and in silico MLST analysis revealed that this A. baumannii strain is in the same clade as strains LAC-4 and BJAB0715. Comparative analysis of 23 available genomes of A. baumannii revealed a pan-genome consisting of 15,883 genes., Conclusion: Our findings provide insight into the virulence-associated genes and then compared with the genomes of other A. baumannii strains by calculation of ANI values and pan-genome analysis. Functional studies of these pathogens are required to validate these findings., Competing Interests: Declaration of Competing Interest The authors declare no competing financial interests., (Copyright © 2020 Thongnhat General Hospital of Dongnai Province. Published by Elsevier B.V. All rights reserved.)

Background: Acinetobacter baumannii is an important nosocomial pathogen that can develop multidrug resistance. In this study, we characterized the genome of the A. baumannii strain DMS06669 (isolated from the sputum of a male patient with hospital-acquired pneumonia) and focused on identification of genes relevant to antibiotic resistance., Methods: Whole genome analysis of A. baumannii DMS06669 from hospital-acquired pneumonia patients included de novo assembly; gene prediction; functional annotation to public databases; phylogenetics tree construction and antibiotics genes identification., Results: After sequencing the A. baumannii DMS06669 genome and performing quality control, de novo genome assembly was carried out, producing 24 scaffolds. Public databases were used for gene prediction and functional annotation to construct a phylogenetic tree of the DMS06669 strain with 21 other A. baumannii strains. A total of 18 possible antibiotic resistance genes, conferring resistance to eight distinct classes of antibiotics, were identified. Eight of these genes have not previously been reported to occur in A. baumannii., Conclusions: Our results provide important information regarding mechanisms that may contribute to antibiotic resistance in the DMS06669 strain, and have implications for treatment of patients infected with A. baumannii.