Genome Biology · 2015 · 128 citations · 93 references
Life SciencesGeneticsMicrobiologyComparative GenomicsGenomicsMicrobial GenomicsAntimicrobial Resistance GenomicsComparative Microbial GenomicsMicrobial Evolutionary GenomicsMicrobial Genome StructurePan-genome AnalysisPathogen GenomicsAntibiotic Resistance IslandsBacterial Genome AssemblyComparative Genome AnalysisGene Order AnalysisIslands Of ResistanceMicrobial Pan-genomicsPan-genome AssemblyPangenome Analysis
BACKGROUND: Infections by pan-drug resistant Acinetobacter baumannii plague military and civilian healthcare systems. Previous A. baumannii pan-genomic studies used modest sample sizes of low diversity and comparisons to a single reference genome, limiting our understanding of gene order and content. A consensus representation of multiple genomes will provide a better framework for comparison. A large-scale comparative study will identify genomic determinants associated with their diversity and adaptation as a successful pathogen. RESULTS: We determine draft-level genomic sequence of 50 diverse military isolates and conduct the largest bacterial pan-genome analysis of 249 genomes. The pan-genome of A. baumannii is open when the input genomes are normalized for diversity with 1867 core proteins and a paralog-collapsed pan-genome size of 11,694 proteins. We developed a novel graph-based algorithm and use it to assemble the first consensus pan-chromosome, identifying both the order and orientation of core genes and flexible genomic regions. Comparative genome analyses demonstrate the existence of novel resistance islands and isolates with increased numbers of resistance island insertions over time, from single insertions in the 1950s to triple insertions in 2011. Gene clusters responsible for carbon utilization, siderophore production, and pilus assembly demonstrate frequent gain or loss among isolates. CONCLUSIONS: The highly variable and dynamic nature of the A. baumannii genome may be the result of its success in rapidly adapting to both abiotic and biotic environments through the gain and loss of gene clusters controlling fitness. Importantly, some archaic adaptation mechanisms appear to have reemerged among recent isolates.
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