- Short genome report
- Open Access
Draft genome sequence of Acinetobacter baumannii strain NCTC 13423, a multidrug-resistant clinical isolate
Standards in Genomic Sciencesvolume 11, Article number: 57 (2016)
Acinetobacter baumannii is a pathogen that is becoming increasingly important and causes serious hospital-acquired infections. We sequenced the genome of A. baumannii NCTC 13423, a multidrug-resistant strain belonging to the international clone II group, isolated from a human infection in the United Kingdom in 2003. The 3,937,944 bp draft genome has a GC-content of 39.0 % and a total of 3672 predicted protein-coding sequences. The availability of genome sequences of multidrug-resistant A. baumannii isolates will fuel comparative genomic studies to help understand the worrying spread of multidrug resistance in this pathogen.
Acinetobacter baumannii recently emerged as an increasingly important pathogen causing healthcare-associated bloodstream, urinary tract, pulmonary, and device-related infections . A. baumannii strains are often resistant against multiple antibiotics, owing to their high intrinsic resistance and a variety of acquired resistance mechanisms . Carbapenem is usually an effective treatment choice, but carbapenem-resistant strains are globally on the rise, and alternative treatment options are limited .
Here, we present the draft genome sequence of A. baumannii NCTC 13423, a strain belonging to international clone lineage II isolated from a patient in a UK hospital in December 2003 . NCTC 13423 shows resistance to ampicillin, amoxicillin-clavulanic acid, aztreonam, cefepime, cefotaxime, ceftazidime, cefoxitin, piperacillin, piperacillin-tazobactam, ciprofloxacin, gentamicin, and sulbactam . Although originally reported as carbapenem-sensitive, a later report classified it to be also carbapenem-resistant . Additionally, this strain is highly virulent and a strong biofilm producer .
Classification and features
Bacteria in the genus Acinetobacter are Gram-negative, strictly aerobic, nonfermenting, nonmotile, catalase-positive, oxidase-negative coccobacilli  (Table 1). The genus Acinetobacter has gone through many taxonomic changes over the years, and the species A. baumannii has only been officially recognized since 1986 [8, 9]. A. baumannii belongs to the family Moraxellaceae , order Pseudomonadales , class Gammaproteobacteria , and phylum Proteobacteria . Acinetobacter species are ubiquitous organisms, widely distributed in nature, and can be recovered from virtually any soil or water sample. However, A. baumannii seems to be an exception to this rule, as it currently has no known habitats except the hospital . Microscopically, they are often observed as pairs of cells (Fig. 1). A. baumannii can withstand prolonged desiccation, allowing it to survive on dry surfaces and probably contributing to its persistent residence in hospital settings . A phylogenetic tree based on 16S rDNA sequences showed strong clustering with other A. baumannii strains (Fig. 2).
Genome sequencing information
Genome project history
The strain NCTC 13423 was isolated in 2003 in the United Kingdom from a repatriated casualty of the Iraq conflict , and was selected for sequencing because of its multidrug-resistant and virulence characteristics. Sequencing was carried out at the EMBL GeneCore facility (Heidelberg, Germany). Sequences were assembled using CLC Genomics Workbench (version 7.5.1) and annotated using NCBI’s Prokaryotic Genome Annotation Pipeline (PGAP). This draft whole-genome sequence has been deposited at DDBJ/ENA/GenBank under the accession LOHD00000000. The project information, and its association with MIGS version 2.0 , is summarised in Table 2.
Growth conditions and genomic DNA preparation
Cultures for DNA isolation were inoculated from a single colony on LB agar in 5 ml lysogeny broth and grown overnight at 37 °C with orbital shaking (200 rpm). DNA was isolated using the DNeasy Blood&Tissue Kit (Qiagen) following the manufacturer’s instructions and pre-treatment protocol for Gram-negative bacteria. DNA concentration and purity were assessed using the Nanodrop ND-1000 spectrophotometer and Qubit fluorometer (ThermoFisher Scientific).
Genome sequencing and assembly
Sequencing was performed using the Nextera DNA Library Preparation Kit with the Illumina HiSeq 2000 platform (100 bp, paired-end) at the EMBL GeneCore facility (Heidelberg, Germany). The read library contained a total of 8,765,016 sequences in pairs. Sequence data was analysed using Qiagen’s CLC Genomics Workbench (version 7.5.1). First, reads were trimmed for quality (score limit 0.05) and ambiguous nucleotides (maximum 2 ambiguities). Next, de novo assembly was performed (mismatch cost: 2, deletion cost: 3, insertion cost: 3, length fraction: 0.5, similarity fraction: 0.8), yielding 196 contigs (minimum length 200 bp) with an average coverage of 203x. Contigs averaged 20,092 bp in length (N50 of 111,328 bp). The total length of the draft genome is 3,937,944 bp with a GC-content of 39.0 %.
All contigs were annotated using NCBI’s Prokaryotic Genome Annotation Pipeline (PGAP). The Batch Web CD-Search Tool from NCBI  was used to identify Pfam domains  in the predicted protein sequences. Classification of predicted proteins in Clusters of Orthologous Groups (COG) functional categories  was done with the WebMGA web server for metagenomic analysis . Signal peptides, transmembrane domains, and CRISPR repeats were predicted using the SignalP 4.1 server , the TMHMM server , and the CRISPRFinder tool , respectively. Only confirmed and not questionable CRISPR hits were taken into account.
Table 3 summarises the properties of the draft genome. Reads were assembled into 196 contigs, totalling 3,937,944 bp with a 39.0 % GC-content. PGAP predicted a total number of 3875 genes, including 3672 protein coding genes (totalling 3,384,768 base pairs), 135 pseudo genes, and 68 RNA genes (64 tRNA, 3 rRNA, and 1 ncRNA). 75.17 % of the protein-coding genes had a putative function assigned, the remainder was annotated as a hypothetical protein. Additional characteristics of the predicted genes are given in Table 3, and Table 4 shows their distribution amongst the different functional COG categories.
Insights from the genome sequence
Functional analysis of the genome sequence by RAST annotation  revealed A. baumannii ACICU as the closest related sequenced neighbor. A. baumannii ACICU is an epidemic, multidrug-resistant strain isolated from a hospital outbreak in Rome . The high genetic relatedness between A. baumannii ACICU and A. baumannii NCTC 13423 was confirmed by calculating their two-way average amino acid identity (AAI), which was 99.30 % based on 3360 protein sequences . Indicative for the multidrug-resistant phenotype, annotations by RAST included six different β-lactamase enzymes, among which two AmpC-type β-lactamases (class C), a metallo-β-lactamase (class B), two class A β-lactamases (of which one TEM-type broad-spectrum β-lactamase) and an oxa-51 like carbapenemase (class D). Using TAfinder, a web-based tool to identify type II toxin-antitoxin (TA) loci in bacterial genomes , we predicted the presence of 12 type II TA modules in the A. baumannii NCTC 13423 draft genome. Considering only TAfinder hits with normalized homology scores (H-value) > 0.5, five putative TA modules remain, three of which are also present in the genome of A. baumannii ACICU. Interestingly, A. baumannii has been reported to form antibiotic-tolerant persister cells [24, 25], and these TA modules might play a role in their formation .
We determined the draft genome sequence of the highly virulent, multidrug-resistant A. baumannii NCTC 13423 clinical isolate. The availability of genomic sequences of clinical A. baumannii isolates from a variety of locations and sources will benefit comparative genomic studies to better understand the worrying spread of multidrug resistance in this pathogen.
Clusters of orthologous groups
Prokaryotic genome annotation pipeline
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JEM and BVDB are recipients of a fellowship from the Agency for Innovation by Science and Technology (IWT) and the Research Foundation Flanders (FWO), respectively. This work was supported by grants from the KU Leuven Research Council (PF/10/010 “NATAR”, IDO/09/01), the Interuniversity Attraction Poles program initiated by the Belgian Science Policy Office (IAP P7/28) and the FWO (grants G.0413.10, G.0471.12 N, G.0B25.15 N). The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
JEM performed the experiments, analysed the data, and wrote the manuscript. BVDB and MF helped analysing the data and edited the manuscript. JM initiated and supervised the study, and edited the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.