ORIGINAL RESEARCH article
Genetic and Phenotypic Features of a Novel Acinetobacter Species, Strain A47, Isolated From the Clinical Setting
- 1Department of Biological Science, California State University Fullerton, Fullerton, CA, United States
- 2Facultad de Medicina, Instituto de Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Universidad de Buenos Aires, Buenos Aires, Argentina
- 3Laboratorio de Bacteriología Clínica, Departamento de Bioquímica Clínica, Hosp. de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina
- 4Centro de Estudios Fotosintéticos y Bioquímicos (CEFOBI – CONICET), Rosario, Argentina
- 5Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
In 2014, a novel species of Acinetobacter, strain A47, determined to be hospital-acquired was recovered from a single patient soft tissue sample following a traumatic accident. The complexity of the Acinetobacter genus has been established, and every year novel species are identified. However, specific features and virulence factors that allow members of this genus to be successful pathogens are not well understood. Utilizing both genomic and phenotypic approaches, we identified distinct features and potential virulence factors of the A47 strain to understand its pathobiology. In silico analyses confirmed the uniqueness of this strain and other comparative and sequence analyses were used to study the evolution of relevant features identified in this isolate. The A47 genome was further analyzed for genes associated with virulence and genes involved in type IV pili (T4P) biogenesis, hemolysis, type VI secretion system (T6SS), and novel antibiotic resistance determinants were identified. A47 exhibited natural transformation with both genomic and plasmid DNA. It was able to form biofilms on different surfaces, to cause hemolysis of sheep and rabbit erythrocytes, and to kill competitor bacteria. Additionally, surface structures with non-uniform length were visualized with scanning electron microscopy and proposed as pili-like structures. Furthermore, the A47 genome revealed the presence of two putative BLUF type photoreceptors, and phenotypic assays confirmed the modulation by light of different virulence traits. Taken together, these results provide insight into the pathobiology of A47, which exhibits multiple virulence factors, natural transformation, and the ability to sense and respond to light, which may contribute to the success of an A47 as a hospital dwelling pathogen.
The genus Acinetobacter represents an important group of pathogens. Currently, there are 52 species of Acinetobacter with assigned names1. However, the majority of research focuses on Acinetobacter baumannii, the most frequent cause of hospital-acquired infections (Turton et al., 2010; Lee et al., 2011; Weber et al., 2016). Recently with the development of other diagnostic tools and technological advancements, other members of the Acinetobacter genus have also been identified as causative agents of hospital-acquired infections (Turton et al., 2010; Karah et al., 2011). Although A. baumannii is still the most significant and common nosocomial pathogen, additional Acinetobacter species are gaining in clinical relevance.
The extreme genome plasticity and the ability to acquire foreign DNA has played an essential role in making some species of Acinetobacter successful pathogens. Horizontal gene transfer (HGT) allows bacteria to acquire and share DNA through different processes (conjugation, transduction, and transformation). Natural transformation is not fully understood, but its relevance in the spread of antibiotic resistance is unprecedented. Several species of Acinetobacter have been documented to naturally acquire foreign DNA (Palmen et al., 1993; Traglia et al., 2014). Transmembrane type IV pili (T4P) represent an important mechanism for acquiring exogenous DNA from the environment (Fronzes et al., 2008). T4P, which are complex structures composed of many proteins, is implicated in both the acquisition of exogenous DNA and the ability to overcome repulsive electrostatic forces during bacterial attachment to surfaces (Giltner et al., 2012; Berne et al., 2015). Initial attachment is imperative for the formation of complex biofilms, allowing the bacteria to survive antimicrobial treatment and maintain virulence. Biofilms protect the associated bacteria by decreasing the diffusion of some antibiotics or rendering them inactive before they can reach a subcellular target (Anderl et al., 2000). Additionally, some susceptible bacteria can tolerate antibiotics within the biofilm due to recalcitrance of biofilm bacteria toward antibiotics (Lebeaux et al., 2014). Biofilms are a unique virulence factor which provides bacteria with the ability to survive or tolerate antimicrobial treatment. It was previously recognized that A. baumannii perceives and responds to light modulating global features of its physiology through the BlsA photoreceptor encoded in its genome (Mussi et al., 2010). Light can modulate motility, biofilm formation, and virulence against Candida albicans in A. baumannii (Mussi et al., 2010). Furthermore, light regulates metabolic pathways, susceptibility and tolerance to some antibiotics, antioxidant enzyme levels such as catalase, likely contributing to bacterial persistence in adverse environments (Ramirez et al., 2015; Muller et al., 2017).
Extensive genome variation has generated interesting phenotypic variations throughout the Acinetobacter genus. One example of his is hemolytic activity, which not only varies by species but also between isolates (Tayabali et al., 2012; Dahdouh et al., 2016). Studies have identified all three types of hemolytic activity (α, β, and γ) in Acinetobacter, being the most uncommon the β-hemolysis (Tayabali et al., 2012; Dahdouh et al., 2016).
A taxonomically unique strain, Acinetobacter strain A47 (referred to as A47) recovered from a single patient soft tissue samples following a traumatic accident in 2014 was previously described (Almuzara et al., 2015; Traglia et al., 2015).
In this study, using both genomic and phenotypic approach, we aimed to characterize important mechanisms which may influence the pathobiology of A47 infections. In silico analyses revealed the phylogenetic position of this isolate among closely related strains and showed the uniqueness of it. The analysis of the A47 genome identified all T4P genes, and associated phenotypes with a functional T4P, such as natural competence and biofilm formation, were confirmed. Additionally, A47 was shown to modulate different virulence traits under blue light. Further genetic analyses led to the identification of multiple virulence factors, including genes associated with hemolysis and antibiotic resistance determinants. Although A47 was found to be susceptible to ampicillin-sulbactam, piperacillin-tazobactam, ceftazidime, cefepime, imipenem, meropenem, amikacin, gentamicin, ciprofloxacin, colistin, and trimethoprim-sulfamethoxazole (Almuzara et al., 2015; Traglia et al., 2015), the potential for this species to become a more significant threat should not be ignored, as previous studies have demonstrated antibiotic resistance and virulence are not consistently correlated (Tayabali et al., 2012; Giannouli et al., 2013). A47 harbors virulence factors which may cause additional problems concerning treatment options and pathobiology. As this is the initial isolation of A47, identifying mechanisms of virulence at a genetic and phenotypic level adds not only to the understanding of this novel Acinetobacter species but also to the growing knowledge of the Acinetobacter genus.
Materials and Methods
Bacterial Strains and Plasmids
Acinetobacter strain A47, a taxonomically unique species recovered from a single patient soft tissue sample following a traumatic accident, was used in the present work (Almuzara et al., 2015). Moreover, A. baumannii strains ATCC 17978, A144, Ab33405, and A. haemolyticus strain A23 were also used (Vilacoba et al., 2013). Plasmids pDSRed (4.5 kbp) and pJHCMW1 (11.3 kbp) which harbor a KanR gene were extracted from Escherichia coli TOP10 cells using QIAprep Spin Miniprep Kit following manufacturer protocol (Qiagen Germantown, MD, United States) and used for transformation assays.
Whole Genome Sequence
The genome of A47 was previously sequenced using Illumina MiSeq at the Argentinian Consortium of Genomic Technology and reported in Traglia et al. (2015). Open reading frame (ORF) prediction was previously performed using the RAST server (Aziz et al., 2008). SEED source genome annotations identified known genes in the A47 genome under default parameters (Overbeek et al., 2014). Gene annotation was confirmed by BLAST (version 2.0) software at NCBI2.
Homologous Gene Clustering, Phylogenetic Analysis, and Average Nucleotide Identity
The phylogenetic position of A47 within Acinetobacter genus was previously defined (Traglia et al., 2015). In order to get a more detailed phylogenetic position of A47 a group of closely related genomes to A47 strain was defined based on this previous published result. Then, a phylogenetic analysis of this group was done. The closely related genome group used for comparative analyses comprises 55 strains plus A47 (Supplementary Table S1). Homologous gene families among the 56 analyzed genomes were identified using the OrthoMCL method (Li et al., 2003) implemented in the get_homologous software package, version 07082017 (Contreras-Moreira and Vinuesa, 2013). Blastp search minimums for e-value, identity and query coverage were 1 × 10–5, 30 and 75%, respectively. Thousand three hundred and eighty-three clusters of putative orthologous sequences were identified among the analyzed genomes. Clustal Omega v1.2.0 was used to align protein sequences (Sievers et al., 2011). Gblock with default parameters was used to trim low quality aligned regions (Castresana, 2000).
Two different strategies were used for phylogenetic reconstruction: (1) PHYML version 3.1 was used to generate a maximum-likelihood phylogenetic tree for each alignment of orthologous protein sequences, using five random starting trees. Sumtrees.py script was then used to generate a consensus tree from the 1383 generated phylograms (Sukumaran and Holder, 2010). (2) The alignments of the 1383 orthologous proteins were concatenated. Then, FastTree version 2.1 was used for building an approximately maximum-likelihood phylogenetic tree. In both cases, consensus and concatenated approaches, the amino acid LG + G model were used with eight categories (Guindon and Gascuel, 2003). Branch supports were evaluated using the SH-like test (Guindon et al., 2010; Supplementary Figure S2).
The average nucleotide identity (ANI) score between A47 and other closely related genomes were estimated. The ANI is used to delineate species using genome sequence data. Two genomes displaying an ANI value of 95% or higher are considered to be the same species (Goris et al., 2007). Two-way ANI (reciprocal best hits based comparison) was estimated by the ani.rb script, developed by Luis M. Rodriguez-R and available at enveomics.blogspot.com.
Comparative Genomic Analysis, Gene Content, and Sequence Analysis
Comparative genome analysis was performed with the open-source MAUVE aligner version 2.3.1 (Darling et al., 2004). ARG-ANNOT and ISfinder softwares were used to identify antibiotic resistance genes and insertion sequences, respectively (Siguier et al., 2006; Gupta et al., 2014). Phage and prophage sequences were identified using PHAST (Zhou et al., 2011). PlasmidFinder was used to detect the presence of Enterobacteriaceae plasmids (Carattoli et al., 2014). In addition, CRISPRCASFinder and RASTA-Bacteria software were used to searched for the CRISPR-Cas and toxin-antitoxin systems, respectively (Sevin and Barloy-Hubler, 2007; Couvin et al., 2018).
The group of unique genes of strain A47 was defined based on the get_homologous result, see above.
Molecular Evolutionary Studies of blaOXA–like Genes and Phylogenetic Distribution of Hemolytic Activity-Related Genes
Homologous sequences of the blaOXA–like gene and putative hemolytic related genes found in A47 were identified in closely related genomes using the BLASTP tool. A minimum identity value of 40% and a minimum coverage of 75% were set as thresholds for positive hits. blaOXA–like homologous proteins were aligned using Clustal Omega v1.2.0. Then, a phylogeny was build using PHYML v3.1 as mention above (Sukumaran and Holder, 2010). Amino acid pairwise p-distance was estimated in MEGA version 7.0 (Kumar et al., 2016). Aligned proteins were back-translated to the known DNA sequences by means of the tranalign program from the EMBOSS package (Rice et al., 2000) and visualized using Bioedit v7.5 (Hall, 2011). Site and branch models dN/dS selection tests were done in the Datamonkey web server (Weaver et al., 2018), Fixed Effects Likelihood test and adaptive Branch Site REL tests (Kosakovsky Pond and Frost, 2005; Smith et al., 2015), respectively. The ratio of non-synonymous changes per non-synonymous sites (dN) over synonymous changes per synonymous sites (dS) is used to identify sites or lineages that evolve under negative, neutral or positive selection regimes. Hemolytic related genes were mapped in the phylogeny of the group according to the BLAST results, using the iTOL web server (Letunic and Bork, 2016).
To perform the transformation assays, two KANR plasmids, pJHCMW1 (11.3 kbp) or pDSRed (4.5 kbp) (Sarno et al., 2002; Traglia et al., 2016), were used. A. baumannii A144 and Ab33405 (GenBank accession numbers JQSF01000000 and JPXZ00000000, respectively) strains, known to harbor many genes conferring resistance to aminoglycosides (Vilacoba et al., 2013), were used as the source of total genomic DNA (gDNA).
Transformation assays were carried out as previously described (Ramirez et al., 2010). Briefly, late-stationary-phase cells (OD600:1) of A47 were mixed with either donor gDNA or plasmid DNA, incubated for 1h at 37°C, and then plated on LB agar supplemented with 10 μg/ml KAN overnight at 37°C. Following incubation, KANR colonies representing individual transformation events were counted. An average of 15 colonies (transformants) were checked and confirmed in every independent transformation experiment by PCR reactions targeting the genes aac(6′)-Ib, aac(3)-IIa, and aph(3′)-Ia. Total colony forming units (CFUs) were quantified by plating dilutions of non-transformed A47 cells on LB agar and incubated at 37°C overnight. The calculated transformation frequency represented the number of KANR colonies per CFU. Experiments were repeated three times (n = 3) and statistical significance was determined using ANOVA.
Antimicrobial susceptibility testing was performed to assess susceptibility levels of selected transformants cells. Disk diffusion was used to assess susceptibility levels to amikacin (AK), ceftazidime (CAZ), ciprofloxacin (CIP), gentamicin (GN), cefepime (FEP), imipenem (IMP), meropenem (MEM), minocycline (MH), trimethoprim/sulfamethoxazole (SXT), tetracycline (TE), and tigecycline (TGC) disks (Oxoid™, Basingstoke, United Kingdom) according to the Clinical and Laboratory Standards Institute (Clinical and Laboratory Standards Institute, 2017). Minimum Inhibitory Concentration (MIC) to AK, CAZ, GN, and cefotaxime (CT) were measured using commercial strips (bioMérieux, Marcy-l’Etoile, FR) following the gradient diffusion method (E-test method) as recommended by the supplier (Jorgensen and Ferraro, 2009).
Quantification of biofilm production, in glass and polystyrene tube, was carried out using a protocol adapted from previously described methods (O’toole and Kolter, 1998; Tomaras et al., 2003; Mussi et al., 2010). Quantification of biofilm was reported as a ratio of biofilm to total biomass (OD580/OD600) for three independent experiments (n = 3). By reporting biofilm as a ratio of total biomass, each value is normalized to the total biomass to account for any variation in growth due to the different abiotic tubes. A. baumannii strain ATCC 17978 was used as a control (Eijkelkamp et al., 2011; Nait Chabane et al., 2014). Additionally, by normalizing to total cell mass, differences due to the growth rates of A47 and ATCC 17978 do not obscure reported biofilm formation. Statistical significance was determined using a two-tailed Student’s t-test and one-way ANOVA using GraphPad Prism (GraphPad Software, San Diego, CA, United States).
Scanning Electron Microscopy
The surface of A47 was visualized using scanning electron microscopy (SEM). A working protein fixing solution (2% formaldehyde, 2% glutaraldehyde, and 0.1 M phosphate buffer) was used to fix A47 cells. A section of A47 was extracted and transferred into a sterile glass vial. Lipids and fatty acids were fixed with 2% osmium tetroxide. The sample was dehydrated with ethanol and mounted to a degreased stub using double stick tape. The stub was coated in gold/platinum and imaged with the Hitachi S-2400 scanning electron microscope.
Hemolytic activity was determined using a previously described protocol with minor changes (Tayabali et al., 2012). Tryptic soy agar (TSA) plates supplemented with 5% sheep’s blood (blood agar plates; Hardy Diagnostics, Santa Maria, CA, United States) were inoculated by transferring colonies of A47 to a blood agar plate. Blood agar plates were incubated for up to 72 h at 37°C. At 24, 48, and 72 h post-inoculation the diameter of the colony (D1) and the diameter of the clearing (D2) was measured and recorded in mm. Hemolysis was quantified by calculating the ratio of the diameter of the clearing to the diameter of the colony (D2/D1). Independent biological samples were used for every trial (n = 16). A. haemolyticus strain A23 strain was used for comparison.
An additional assay was conducted to measure hemolytic activity using defibrinated rabbit erythrocytes, following a previously described protocol with modifications (Ramsey et al., 2016). Individual colonies of A47 were cultured in 5 mL LB broth overnight with agitation, then diluted 1/100 with LB broth. Defibrinated rabbit erythrocytes (Hemostat Laboratories, Dixon, CA, United States) were diluted to 10% (v/v) in 1X phosphate buffered saline (PBS). 60 μL of 1/100 A47 cultures and 140 μL of 10% rabbit blood were combined in wells of a flat-bottom 96-well plate and incubated for 12 h at 37°C. The plate was then centrifuged for 10 min at 3000 rpm, 100 μL of the supernatant was transferred to a new well; absorbance of the supernatant was measured at 540 and 630 nm. Independent biological samples were used for every trial (n = 4) and performed in quadruplicates. LB without bacteria served as a negative control, as well as a normalization for hemolysis.
Blue Light Treatments
Blue light treatments were performed as described in previous studies (Mussi et al., 2010; Golic et al., 2013; Ramirez et al., 2015). Cells were incubated for 26 h (or else specified) at 24°C in the dark or under blue light emitted by nine-LED (light-emitting diode) arrays with an intensity of 6–10 μmol photons/m2/s. Each array was built using three-LED module strips emitting blue light with emission peaks centered at 462 nm determined using a LI-COR LI-1800 spectroradiometer (Mussi et al., 2010).
Growth of A47 on Phenylacetic Acid
To test the ability of A47 to grow on phenylacetic acid (PAA), 1/100 dilutions of overnight cultures grown in LB Difco were washed with PBS 1X and inoculated in either M9 solid medium supplemented with 5 or 10 mM PAA or in LB Difco medium (Fisher Scientific) and incubated at 24°C under blue light or in the dark. The experiments were performed in triplicates.
Quantification of Trehalose
The strain was grown in LB Difco medium until it reached an OD660 of 0.4 under blue light or in the dark, and sugars were extracted from bacterial cells as described in Zeidler et al. (2017). Trehalose content was quantified as previously described by measuring glucose increments after trehalase (Sigma) treatment (Muller et al., 2017). Glucose calibration curves were generated using glucose (Sigma) as standards and glucose was measured using a glucose oxidase kit (Glicemia enzimaìtica AA liìquida) under the recommendations of the manufacturer (Wiener, Argentina) before and after trehalase treatment. The experiments were performed in triplicates.
Cell motility was tested on “swimming agarose” (Tryptone 1%, NaCl 0.5%, agarose 0.3%; 5) or LB agarose (Peptone 1%, NaCl 1%, yeast extract 0.5%, agarose 0.3%) plates incubated in the presence or absence of light, as described previously (Mussi et al., 2010; Golic et al., 2013). All assays were performed in triplicates for both light and dark conditions.
A47 Genome Features and Comparative Genomic Analysis
The genome of A47 is 3,915,593 bp with a corresponding G+C content of 44.5% (Traglia et al., 2015). RAST annotation software predicted a total of 3627 ORFs, of which 281 are unique genes, which are defined as genes with no homologs in any closely related genome. These unique genes are distributed in at least 28 clusters (Supplementary Table S2). Almost 70% of the identified singletons are hypothetical proteins; and other unique genes coding for transporters, phage-related proteins, transcriptional regulators, among other functional categories. ANI values support the previous report that A47 does not belong to any hitherto known taxa and represents a unique species of Acinetobacter (Supplementary Table S3). Phylogenetic analysis using 56 publicly available genomes identified the genetic relationship between A47 and closely related strains. Two robust phylogenetic trees were built based on the sequences of 1383 aligned orthologs. Implemented strategies showed highly similar branching pattern; however, the phylogenetic tree generated with FastTree was built based on concatenated sequences and displayed higher node support values (Figure 1). A47 grouped with strong statistical support as a monophyletic cluster with two lineages that also represent new species (node support = 100) (see ANI results in Supplementary Table S3). Then, as a sister group of this monophyletic cluster, three equally distant and defined species were found: A. gyllenbergii, A. colistiniresistens, and A. proteolyticus.
Figure 1. Approximate maximum likelihood phylogenetic tree of A47 and closely related assemblies. The phylogenetic tree was build based on 1383 concatenated orthologous proteins. The tree was inferred using FastTree version 2.1, with LG + G model. The SH-like test was used to evaluate branch supports and indicated as red values next to nodes. Genomes from the same species based on two-way ANI score (>95%) were indicated with brackets. The position of A47 is indicated with a black arrow.
Genetic Analysis of Virulence Genes Associated With Distinct Phenotypes
Initial phenotypic testing of A47 indicated it was β-hemolytic (Almuzara et al., 2015), leading to the search for putative genes related with hemolytic activity. Thus, four protein-coding genes were identified in the A47 genome including a putative hemolysin (WP_038344358.1) with 85% identity to a previously described protein in A. haemolyticus TJS01 (Accession number: APR70514.1), a putative hemolysin translocator protein, HylD (WP_038343297.1) with 97% identity to a protein in Acinetobacter sp. WC-323, a predicted membrane protein (WP_038343513.1) with 78% identity to hemolysin III, Hly III, present in A. junni 65 (Accession number: CP019041.1), and ahemolysin activation/secretion family protein, HecB, (WP_052209140.1) with 77% identity to a protein identified in A. baumannii strain 1437282. We studied the phylogenetic distribution of these proteins among closely related genomes (Supplementary Figure S1). Hly III was found in all studied genomes, and all but three genomes have at least one hemolysin homologous proteins coded. HylD is almost completely conserved, only missing in a specific basal lineage. Interestingly, this lineage is characterized not only by the absence of HylD but also for the absence of Hec-B. Hec-B homologous genes seem to be restricted to non-related specific lineages, displaying a non-uniform phylogenetic distribution (Supplementary Figure S1). In addition, other putative hemolytic related proteins were identified in the genome of A47; but annotation data is inconclusive about its role in the hemolytic activity. This is the case of WP_038342744.1, an RND transporter subunit, and WP_038342201.1, a 21 kDa hemolysin precursor with 81% identity to a BON domain-containing protein.
Due to the contribution of T4P to virulence, genes associated with its biogenesis were searched and all T4P associated genes were identified in A47 and are described in Table 1.
Table 1. Type IV pili genes identified in the A47 genome and predicted function with relation to T4P biogenesis and function.
A47 is resistant to ampicillin, cefalotin, cefoxitin, and cefotaxime, and exhibits susceptibility to a variety of other antibiotics. Considering that ubiquitous β-lactamases have been reported in all Acinetobacter genomes, we searched for β-lactamases in A47 genome. A novel chromosomally located blaOXA–like gene (897 bp) was identified (Nucleotide accession number: KT835650). This gene exhibits the highest percent nucleotide identity (79%) to blaOXA–298 from Acinetobacter sp. NIPH 3623 (Accession number: NG_049593). The predicted protein sequence corresponding to this novel β-lactamase is 288 residues and has the highest percent (73%) identity to a class D β-lactamase from Acinetobacter sp. YK3 (Accession number: WP_069578983). Additionally, this novel β-lactamase exhibits 72% amino acid identity to a class D β-lactamase from Acinetobacter sp. Neg1 (Accession number: WP_047430089.1), OXA-295 from Acinetobacter sp. NIPH 2168 (Accession number: WP_005260134.1) and OXA-294 from Acinetobacter sp. NIPH 758 (Accession number: WP_004776204.1). The genetic context of the novel β-lactamase is shown in Figure 2. A BLAST search revealed only one isolate of A. haemolyticus TJS01 sharing 75% identity to the genetic context (5 kbp upstream and downstream) of the blaOXA–like gene.
Figure 2. Genetic context of the novel blaOXA–like identified in the A47 genome. Direction of the arrows indicate directionality of the coding genes.
The molecular evolution of blaOXA–like and homologous sequences in closely related genomes was studied. The phylogenetic reconstruction and the estimated amino acid p-distance suggest that the blaOXA–like protein found in A47 (WP_052209191.1) has significantly diverged from other homologs found in closely related genomes (Supplementary Figure S3). On average the more similar group of blaOXA–like proteins has a p-distance of 0.245 (G2 in Supplementary Figure S3A). This group is formed for OXA-298 and OXA-297 proteins found in Acinetobacter sp. NIPH 3623 and Acinetobacter sp. NIPH 1847, respectively. On the other hand, the most distantly related blaOXA–like proteins found were OXA-58 proteins. The effect of selection at the molecular level was studied by means of the dN/dS test. Results suggest there is evidence of episodic diversifying selection in the lineage of the blaOXA–like gene found in A47. This is also true in three other independent lineages. Significance was assessed using the Likelihood Ratio Test at a threshold of P ≤ 0.05, after correcting for multiple testing. The site model dN/dS test found evidence of positive/diversifying selection in two amino acid sites, when considering the whole alignment (Supplementary Figure S3C). Taken together, these results suggest that the blaOXA–like protein found in A47 and other homologous proteins found in closely related genomes may be evolving under positive selection. An incomplete aminoglycoside resistance gene (aac(6′)-Ir) was also identified. We searched for the presence of efflux pump systems in the A47 genome. AdeIJK system, with 81% identity with A. junii strain 65 (AN CP019041) and the AdeABC proteins with 78, 79, and 72% identity, respectively with A. baumannii BM4454 (AN AF370885) were found. Two regulatory (adeS and adeR) genes of the AdeABC system were also found, with 72 and 78% identity with A. calcoaceticus NCTC7364 (AN LT605059) and A. lactucae OTEC-02 (AN CP020015), respectively. Further genomic analysis revealed the absence of insertion sequences in A47 genome. Using the PHAST tool to predict phage sequences, two intact prophages, one incomplete prophage, and two questionable prophages were identified in A47 genome.
In addition, CRISPR-cas systems were searched and a CRISPR-cas system, which belongs to subtype IF, was identified in A47 genome. The system contains the cluster cas genes including the cas1, cas3-cas2, csy1, csy2, csy3, and cas and a 91 spacer (GTTCATGGCGGCATACGCCATTTAGAAA). This variant of Cas-IF type was previously described in other bacterial species such as Shewanella putrefaciens and Yersinia pseudotuberculosis (Makarova et al., 2018). No toxin-antitoxin systems were identified in A47 genome.
The distribution of the T6SS components in Acinetobacter was studied, showing a large variability in the presence or absence of the 13 T6SS core genes in Acinetobacter species (Traglia et al., 2018). To address the presence of this system in A47 genome, the thirteen genes coding for the core proteins of this system were searched for within the A47 genome, and their presence was confirmed showing 94–100% amino acid sequence identity against the available genes deposited in the GenBank.
A47 Can Naturally Acquire Genomic and Plasmid DNA
Considering that the genes required for T4P biogenesis in A47 were found, the implications of T4P in A47 DNA-acquisition were investigated. Transformations, using plasmid and gDNA, were carried out as previously described (Ramirez et al., 2010). A47 was successfully transformed with all DNA sources tested, suggesting that A47 is naturally competent under the tested condition.
Transformation frequencies using two DNA sources (plasmid and gDNA) were calculated in A47. We observed that A47 can be transformed with DNA both sources. Transforming with gDNA resulted in A47::A33405 and A47::A144 with transformation frequencies of 1.19 × 10–6 TF/CFU (SD ± 7.83 × 10–7) and 3.07 × 10–6 TF/CFU (SD ± 3.14 × 10–6), respectively. Plasmid transformation frequencies were 7.20 × 10–7 TF/CFU (SD ± 1.96 × 10–7) and 3.56 × 10–6 TF/CFU (SD ± 3.61 × 10–6) for A47::pDSRed and A47::pJHCMW1, respectively.
Randomly selected transformant colonies were picked and assessed for changes in resistance profile using a disk diffusion screening method. We observed a variety of changes in the susceptibility profile of the transformant colonies (data not shown). To further determine the level of susceptibility of A47 and transformants, MIC was performed. The most substantial increase in MIC was observed with AK and GN for A47::Ab33405 (Table 2).
A47 Can Form Biofilms on Two Different Abiotic Surfaces and Exhibits Type IV Pili (T4P) Like Structures on Its Cell Surface
A47 ability to form biofilms on both polystyrene plastic and borosilicate glass abiotic surfaces was observed (Figure 3A). As A. baumannii ATCC 17978 is a known biofilm producer, this strain was used as an experimental control as well as a means of comparison for A47 biofilm production (Nait Chabane et al., 2014). A47 forms biofilms on both polystyrene plastic and borosilicate glass abiotic surfaces (Figure 3A). On average, A47 produces a larger amount of biofilm on polystyrene plastic than borosilicate glass (Figure 3A). Comparison of A47 OD580/OD600 on the two abiotic surfaces is not statistically significant (P > 0.05) by a two-tailed Mann–Whitney U test. Comparison between A47 and ATCC 17978 OD580/OD600 did not yield statistically significant results (P > 0.05) as determined by an ANOVA test under the tested conditions (Figure 3B).
Figure 3. (A) Amount of biofilm formed by A47 and ATCC 17978 on polystyrene plastic or borosilicate glass reported as a ratio of biofilm (OD580) to total biomass (OD600). Difference in amount of biofilm formed relative to biomass are not statistically significant (P > 0.05) between the two abiotic surfaces as evaluated using a paired Student’s t-test. Means for each condition are represented by black bars (n = 3). (B) SEM magnified (10×) image of A47 exhibits a coccobacilli shape and surface structures which vary in length. Longer cellular appendages are indicated by black arrows and white arrows indicate short pili-like appendages.
Upon identification of all T4P genes in A47, SEM was used to visualize the surface of A47 cells. SEM images of A47 exhibit multiple surface appendages and a coccobacilli shape. The appendages vary in size and distribution; however, the most common and distinct appendages are long cellular extensions and shorter potential pili-like structures unevenly distributed (Figure 3B). Longer appendages are variable in length and appear to connect individual bacteria or anchor bacteria (Figure 3B). Short pili-like appendages are The coccobacilli shape is in line with what has previously been observed for Acinetobacter.
A47 Exhibits a High Hemolytic Activity
With the aim to characterize A47 hemolytic activity, two different approaches were performed. As A. haemolyticus is a well-studied hemolytic species of Acinetobacter, the A. haemolyticus strain A23 was used as a positive control for β-hemolysis. Only A47 showed lysis of red blood cells after 24 h, as indicated by a zone of clearing surrounding the colony. A23 did not exhibit β-hemolysis until 48 h post-inoculation (Figure 4A). When using defibrinated rabbit blood in a 96-well microplate, A47 was shown to exhibit hemolytic activity. After 12 h, there was significant hemolytic activity in A47 conditions, in contrast to the control negative LB conditions (P < 0.005) (Figure 4B). Hemolytic activity of A47 bacteria was also visible based on the color change of the wells (Figure 4C).
Figure 4. (A) Observed hemolytic activity in A47 and A23. TSA supplemented with 5% rabbits’s blood was inoculated with A47 and A. haemolyticus A23, incubated at 37°C and imaged at 24, 48, and 72 h post-inoculation. A47 and A23 exhibit β-hemolysis generating a zone of clearing around colonies, representative of complete lysis of red blood cells. (B) Quantification A47 and A23 hemolysis. Blood agar plates were aseptically inoculated with colonies of A47 and A23, and incubated at 37°C. The diameters of lytic zones (D2) and colonies (D1) was measured at 24, 48, and 72 h. Hemolysis is reported as the average ratio (D2/D1), data points represent individual ratios for each biological samples (n = 16). The curve intersects at the average D2/D1 for each time point. (C) A47 exhibits visible signs of hemolytic activity. Compared to LB conditions on right half, A47 wells exhibit visible signs of hemolytic activity, evidenced in both centrifuged (C1) and supernatant plates (C2). The deep red color change indicates hemolytic activity in (C1), and the effect of lysed blood cells bleeding out into the supernatant is shown in (C2).
A47 Exhibits Photoregulation of Different Virulence Traits
Analysis of the A47 genome reveals the presence of two BLUF-type photoreceptors (Figure 5A), one of which – peg 1386 – is 82% identical with respect to the BlsA homolog present in A. baumannii ATCC 17978 strain. This putative photoreceptor is globally synthenic to the genes located upstream with respect to blsA, showing differences mostly in the length of the intergenic region. On the contrary, no conservation is observed in the genes located downstream to blsA, except peg 1389 which codes for a putative sodium/glutamate symport protein. The second BLUF-coding protein, peg 1430, shows 52% identity respect to A. baumannii ATCC 17978 BlsA. It is flanked by a putative isochorismatase (peg 1429), enzymes involved in the synthesis of 2,3-dihydroxy-2,3-dihydrobenzoate and pyruvate from isochorismate, which are frequently involved in siderophore synthesis. Located next to this gene is a putative 3-hydroxyisobutyrate dehydrogenase (peg 1428), which participates in leucine, valine and isoleucine degradation, and there is a gene coding for a putative polihydroxyalcanoic acid synthase (peg 1427). 3′ downstream from the blsA homolog, there is a gene coding for a quaternary ammonium compound resistance protein (peg 1431), followed by a phage lysin coding gene (peg 1432).
Figure 5. (A) Genomic context of BLUF-domain containing genes in Acinetobacter sp. A47. Gene annotations are indicated below the scheme. In red are indicated BLUF photoreceptors. The figure was constructed using information retrieved from RAST and the seed viewer. (B) Effects of light and temperature on motility. Cells of Acinetobacter sp. A47 were inoculated on the surface of motility plates. Plates were inspected and photographed after overnight incubation in darkness (D) or in the presence of blue light (L) at 24°C or 37°C. (C) Light inhibits growth of Acinetobacter sp. A47 in PAA. Growth of Acinetobacter sp. A47 in M9 minimal agar medium supplemented with 5 mM PAA as a sole carbon source and incubated stagnantly at 24°C under blue light or in the dark. Also shown is growth of A. baumannii ATCC 19606 and Acinetobacter sp. ver 3 as controls, as well as growth in LB to show no effect of light on viability of the strains. Shown are representative results obtained from three independent experiments.
We have studied whether A47 can sense and respond to light by studying different cellular processes. As shown in Figure 5B, A47 exhibits photoregulation of motility at 24°C. Motility was inhibited under blue light, while the bacteria grew and spread over the surface of the plate in the dark. At 37°C, A47 still shows photoregulation of motility, although to a lesser extent than at 24°C. In addition, we studied other traits previously shown to be photoregulated in A. baumannii, such as metabolism (Muller et al., 2017). Figure 5C shows that light modulates the PAA utilization pathway at 24°C, just as it does in A. baumannii (Muller et al., 2017). On the contrary, we were not able to detect photoregulation of trehalose biosynthesis (data not shown).
The genus Acinetobacter represents an important group of pathogens mainly due to the extreme genome plasticity and the ability to acquire foreign DNA.
Our results, including phylogenetic and comparative genomic analysis, indicate that Acinetobacter A47 represents a new species. More importantly, according to the phylogenetic and the ANI analyses, we found that many strains with closely related genomes are likely misidentified: A. gyllenbergii, A. colistiniresistens, A. proteolyticus, A. parvus, A. tjernbergiae, and A. beijerinckii.
When analyzing genes associated with pathogenesis, four genes putatively involved in hemolytic activity were identified in the genome of A47. There is significant documented variation in hemolysis in the Acinetobacter genus, with the most uncommon type of hemolytic activity being the β-hemolysis (Tayabali et al., 2012; Dahdouh et al., 2016). Our results show that the novel species A47 exhibits β-hemolysis, falling within a small subset of β-hemolytic Acinetobacter species. Analyses of hemolysis-related genes and their distribution showed that three of the putative genes are highly conserved in the studied genomes (Supplementary Figure S1). However, Hec-B-like gene was identified in different and independent lineages, displaying a patchy phylogenetic distribution. Thus, many of the analyzed genomes, which share the four analyzed hemolysis-related homologs, may also exhibit β-hemolysis activity, though none have currently been reported in the literature.
In addition, genomic analysis revealed the presence of a novel OXA-like β-lactamase gene. This OXA-like gene is unique and may be ubiquitous in this novel species, but more isolates will need to be recovered before this can be determined. No signs of pseudogenization has been found in this gene, and at least one fourth of the amino acids residues in this protein are different to its closest related homologs found in the studied genomes. Note, however, that many putative functional residues are also conserved in this protein (Supplementary Figure S3C). The observed highly divergence may in part be explained in the observed susceptibility to the tested β-lactams. Interestingly, molecular evolution tests found evidence of positive selection driving the evolution of the coding sequence of this new blaOXA–like gene. This suggests that amino acid changes may be related to a functional change of the coded protein. Another possible scenario is that this gene is not derived from OXA-like homologs found in closely related genomes. In other words, the observed divergence could be explained by a horizontal transfer event. This scenario, although not entirely improbable, is not compatible with the observation that highly similar sequences in public databases belong to closely related genomes (data not shown). Future research into this novel β-lactamase could investigate the affinity of this enzyme to different β-lactams and/or possible novel functions. In addition, we performed molecular docking studies to assess the mechanism of A47 OXA-like and we observed that this enzyme has similar binding affinity against imipenem and doripenem comparing with OXA-51, and stronger affinity for oxacillin (Supplementary Figure S4 and Supplementary Table S4). Further phenotypic studies are needed to confirm this observation.
Genes coding for T4P were found in A47’ genome and its ability to naturally acquire different types of DNA was also confirmed. Acquisition of exogenous DNA is not specific to the nature of DNA, as evidenced by the bacteria’s ability to acquire plasmid and gDNA fragments. This was previously observed in A. calcoaceticus BD413 (also referred to as A. baylyi ADP1), and the same system of DNA uptake was found to be utilized in both instances (Palmen et al., 1993). The mechanism A47 uses to uptake foreign DNA was not examined in depth, although T4P have previously been implicated in the acquisition of exogenous DNA (Harding et al., 2013). It is interesting to note that there is no significant difference between transformation frequencies when A47 was transformed with plasmid or gDNA. Furthermore, biofilm formation was also observed in A47 on plastic and glass. Comparisons of A47 biofilm formation on polystyrene plastic or borosilicate glass was not statistically significant (P > 0.05). Additionally, no statistically significant differences between A47 biofilm formation and ATCC 17978 biofilm formation were observed between the tested surfaces (P > 0.05). ATCC 17978 has been characterized as a weak biofilm producer, and the findings here suggest that A47 is a poor biofilm producer as well. Images obtained using SEM showed the presence of multiple cellular surface appendages of variable length. De Breij and colleagues similarly examined surface structures of A. baumannii and identified long cellular-like projections as well as potential pili-like surface structures (De Breij et al., 2010). Although these results do not confirm that these surface structures are T4P, they provide substantial evidence that A47 does express non-uniform surface appendages. These images combined with the genetic identification of all the T4P genes within the A47 genome support the hypothesis that A47 expresses T4P.
The T6SS was recently recognized as a key system for bacterial competition and involved in HGT (Cooper et al., 2017; Ringel et al., 2017). Genomic results showed the presence of the T6SS genomic locus in A47, which could contribute to its repertoire of potential virulent traits.
Additionally, A. baumannii and other members of the Acinetobacter genus have been shown to sense and respond to light (Mussi et al., 2010; Muller et al., 2017). While various BLUF type photoreceptors are present in non-baumannii species, BlsA is the only BLUF protein that has been detected in A. baumannii. Our data indicates the presence of two BLUF-type photoreceptors in the genome of Acinetobacter sp. A47, and we have verified the ability of this strain to photoregulate both motility as well as the utilization of PAA.
The work presented here provides an initial characterization of some of A47’s virulence factors and demonstrates why A47 represents an important new species of Acinetobacter. The general phylogenetic background and specific aspects of this isolate’s evolution were studied. The genome of A47 harbors a novel β-lactamase is susceptible to all tested antibiotics, forms biofilms, can naturally acquire foreign DNA, is a member of a small group of Acinetobacter that carry out β-hemolysis and possesses the genes coding for the T6SS, and has the ability to sense and response to light, regulating motility and PAA catabolism. This novel species of Acinetobacter can greatly improve the current understanding of this genus due to its unique characteristics.
All datasets generated for this study are included in the manuscript and/or the Supplementary Files.
STJS, AI, and MSR conceived the study and designed the experiments. STJS, KP, SM, SF, JSF, MRT, GMT, MAM, AI, MA2, and MSR performed the experiments and genomics and bioinformatics analyses. STJS, SM, SF, JSF, GMT, MAM, MA1, MA2, MRT, AI, and MSR analyzed the data and interpreted the results. MAM, AI, and MSR contributed reagents, materials, and analysis tools. MA1 and CV contributed with the strains. STJS, SF, SM, MRT, MA, AI, and MSR wrote the manuscript. All authors read and approved the final manuscript.
This work was supported by the NIH SC3GM125556 to MSR. JSF was supported by the grant MHIRT 2T37MD001368 from the National Institute on Minority Health and Health Disparities, National Institutes of Health.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. GMT has a postdoctoral fellowship from the CONICET. SM has a doctoral fellowship from the CONICET. JSF has a SOAR-ELEVAR scholar fellowship from Latina/o Graduate Students from the U.S. Department of Education. We thank Steve Karl for his technical assistance.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.01375/full#supplementary-material
FIGURE S1 | Phylogenetic distribution of putative hemolysis-related genes found in closely related genomes studied. A47 genome is indicated with a black arrow. The visualization was generated in the iTOL web server available at itol.embl.de.
FIGURE S2 | Approximate maximum likelihood phylogenetic tree of A47 and closely related assemblies. The phylogenetic tree was build based on 1383 concatenated orthologous proteins. The tree was inferred using FastTree version 2.1, with LG + G model. The SH-like test was used to evaluate branch supports and indicated as red values next to nodes. Genomes from the same species based on two-way ANI score (>95%) were indicated with brackets. The position of A47 is indicated with a black arrow.
FIGURE S3 | Molecular evolution and sequence analyses of blaOXA–like homologs. (A) Maximum likelihood phylogenetic reconstruction of homologs found in closely related genomes. The phylogenetic tree was build based on proteins sequences using the PHYML version 3.1 software, with the LG + G model. The SH-like test was used to evaluate branch supports. Groups are indicated next to basal nodes with “G.” The position of blaOXA–like gene found in A47 is indicated with a black arrow. Evidence of positive selection was found in four lineages, indicated in magenta. (B) Average amino acid p-distance estimated between monophyletic groups in the lower triangular matrix, standard deviation of the average estimation in the upper triangular matrix. Groups are defined in phylogeny shown in panel (A). (C) Clustal-omega alignment of OXA-like proteins ordered according to monophyletic groups, as stated in A. Two sites evolving under positive selection are indicated with black arrows.
FIGURE S4 | Computed two-dimensional structure of the OXA-like (UCSF Chimera 1.12) and the interaction between OXA-like and oxacillin. (A) Ribbon structure of OXA-like colored in rainbow style. (B) Surface topology of OXA-like colored by Coulombic surface coloring (UCSF Chimera 1.12). Surface was calculated using AMBER ff 14SB charge model on three color scale of red, −10 kcal/(mol e), white, 0 kcal/(mol e), and blue, 10 kcal/(mol e), where e is unit electron charge. (E) Ramachandran plot analysis of the OXA-like structure. Binding of various antibiotic molecules with (C) the OXA-like and (D) OXA-51. Different antibiotics was colored in violet and residues was colored in orange. H-bond lines between different residues and the ligands was colored in green.
TABLE S1 | List of 56 genomes used in the present study.
TABLE S2 | List of putative unique genes in Acinetobacter sp. 47.
TABLE S3 | Two-way average nucleotide identity estimated among closely related genomes that belongs to the A47 strain monophylogenetic cluster.
TABLE S4 | Predicted binding affinity between OXA-like from Acinetobacter sp. A47 and OXA-51 from A. baumannii against to doripenem, imipenem, and oxacillin.
Almuzara, M., Traglia, G. M., Krizova, L., Barberis, C., Montana, S., Bakai, R., et al. (2015). A taxonomically unique Acinetobacter strain with proteolytic and hemolytic activities recovered from a patient with a soft tissue injury. J. Clin. Microbiol. 53, 349–351. doi: 10.1128/JCM.02625-14
Anderl, J. N., Franklin, M. J., and Stewart, P. S. (2000). Role of antibiotic penetration limitation in Klebsiella pneumoniae biofilm resistance to ampicillin and ciprofloxacin. Antimicrob. Agents Chemother. 44, 1818–1824. doi: 10.1128/aac.44.7.1818-1824.2000
Antunes, L. C. S., Imperi, F., Towner, K. J., and Visca, P. (2011). Genome-assisted identification of putative iron-utilization genes in Acinetobacter baumannii and their distribution among a genotypically diverse collection of clinical isolates. Res. Microbiol. 162, 279–284. doi: 10.1016/j.resmic.2010.10.010
Aziz, R. K., Bartels, D., Best, A. A., Dejongh, M., Disz, T., Edwards, R. A., et al. (2008). The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. doi: 10.1186/1471-2164-9-75
Berne, C., Ducret, A., Hardy, G. G., and Brun, Y. V. (2015). Adhesins involved in attachment to abiotic surfaces by gram-negative bacteria. Microbiol. Spectr. 3. doi: 10.1128/microbiolspec.MB-0018-2015
Carattoli, A., Zankari, E., Garcia-Fernandez, A., Voldby Larsen, M., Lund, O., Villa, L., et al. (2014). In silico detection and typing of plasmids using plasmid finder and plasmid multilocus sequence typing. Antimicrob. Agents Chemother. 58, 3895–3903. doi: 10.1128/AAC.02412-14
Clinical and Laboratory Standards Institute (2017). Performance standards for antimicrobial susceptibility testing. Twenty-seven Informational Supplement. CLSI document M100–S27. Wayne, PA: Clinical and Laboratory Standards Institute.
Contreras-Moreira, B., and Vinuesa, P. (2013). GET_HOMOLOGUES, a versatile software package for scalable and robust microbial pangenome analysis. Appl. Environ. Microbiol. 79, 7696–7701. doi: 10.1128/AEM.02411-13
Cooper, R. M., Tsimring, L., and Hasty, J. (2017). Inter-species population dynamics enhance microbial horizontal gene transfer and spread of antibiotic resistance. Elife 6:e25950. doi: 10.7554/eLife.25950
Couvin, D., Bernheim, A., Toffano-Nioche, C., Touchon, M., Michalik, J., Neron, B., et al. (2018). CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins. Nucleic Acids Res. 46, W246–W251. doi: 10.1093/nar/gky425
Dahdouh, E., Hajjar, M., Suarez, M., and Daoud, Z. (2016). Acinetobacter baumannii isolated from lebanese patients: phenotypes and genotypes of resistance, clonality, and determinants of pathogenicity. Front. Cell. Infect. Microbiol. 6:163. doi: 10.3389/fcimb.2016.00163
De Breij, A., Dijkshoorn, L., Lagendijk, E., Van Der Meer, J., Koster, A., Bloemberg, G., et al. (2010). Do biofilm formation and interactions with human cells explain the clinical success of Acinetobacter baumannii? PLoS One 5:e10732. doi: 10.1371/journal.pone.0010732
Eijkelkamp, B. A., Stroeher, U. H., Hassan, K. A., Papadimitrious, M. S., Paulsen, I. T., Brown, M. H., et al. (2011). Adherence and motility characteristics of clinical Acinetobacter baumannii isolates. FEMS Microbiol. Lett. 323, 44–51. doi: 10.1111/j.1574-6968.2011.02362.x
Giannouli, M., Antunes, L. C., Marchetti, V., Triassi, M., Visca, P., and Zarrilli, R. (2013). Virulence-related traits of epidemic Acinetobacter baumannii strains belonging to the international clonal lineages I-III and to the emerging genotypes ST25 and ST78. BMC Infect. Dis. 13:282. doi: 10.1186/1471-2334-13-282
Golic, A., Vaneechoutte, M., Nemec, A., Viale, A. M., Actis, L. A., and Mussi, M. A. (2013). Staring at the cold sun: blue light regulation is distributed within the genus Acinetobacter. PLoS One 8:e55059. doi: 10.1371/journal.pone.0055059
Goris, J., Konstantinidis, K. T., Klappenbach, J. A., Coenye, T., Vandamme, P., and Tiedje, J. M. (2007). DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int. J. Syst. Evol. Microbiol. 57, 81–91. doi: 10.1099/ijs.0.64483-0
Guindon, S., Dufayard, J. F., Lefort, V., Anisimova, M., Hordijk, W., and Gascuel, O. (2010). New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst. Biol. 59, 307–321. doi: 10.1093/sysbio/syq010
Gupta, S. K., Padmanabhan, B. R., Diene, S. M., Lopez-Rojas, R., Kempf, M., Landraud, L., et al. (2014). ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes. Antimicrob. Agents Chemother. 58, 212–220. doi: 10.1128/AAC.01310-13
Harding, C. M., Tracy, E. N., Carruthers, M. D., Rather, P. N., Actis, L. A., and Munson, R. S. Jr. (2013). Acinetobacter baumannii strain M2 produces type IV pili which play a role in natural transformation and twitching motility but not surface-associated motility. MBio 4:e00360-13. doi: 10.1128/mBio.00360-13
Karah, N., Haldorsen, B., Hegstad, K., Simonsen, G. S., Sundsfjord, A., and Samuelsen, O. (2011). Species identification and molecular characterization of Acinetobacter spp. blood culture isolates from Norway. J. Antimicrob. Chemother. 66, 738–744. doi: 10.1093/jac/dkq521
Kosakovsky Pond, S. L., and Frost, S. D. (2005). Not so different after all: a comparison of methods for detecting amino acid sites under selection. Mol. Biol. Evol. 22, 1208–1222. doi: 10.1093/molbev/msi105
Lebeaux, D., Ghigo, J. M., and Beloin, C. (2014). Biofilm-related infections: bridging the gap between clinical management and fundamental aspects of recalcitrance toward antibiotics. Microbiol. Mol. Biol. Rev. 78, 510–543. doi: 10.1128/MMBR.00013-14
Lee, K., Yong, D., Jeong, S. H., and Chong, Y. (2011). Multidrug-resistant Acinetobacter spp.: increasingly problematic nosocomial pathogens. Yonsei Med. J. 52, 879–891. doi: 10.3349/ymj.2011.52.6.879
Letunic, I., and Bork, P. (2016). Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 44, W242–W245. doi: 10.1093/nar/gkw290
Muller, G. L., Tuttobene, M., Altilio, M., Martinez Amezaga, M., Nguyen, M., Cribb, P., et al. (2017). Light modulates metabolic pathways and other novel physiological traits in the human pathogen Acinetobacter baumannii. J. Bacteriol. 199:e00011-17. doi: 10.1128/JB.00011-17
Mussi, M. A., Gaddy, J. A., Cabruja, M., Arivett, B. A., Viale, A. M., Rasia, R., et al. (2010). The opportunistic human pathogen Acinetobacter baumannii senses and responds to light. J. Bacteriol. 192, 6336–6345. doi: 10.1128/JB.00917-10
Nait Chabane, Y., Mlouka, M. B., Alexandre, S., Nicol, M., Marti, S., Pestel-Caron, M., et al. (2014). Virstatin inhibits biofilm formation and motility of Acinetobacter baumannii. BMC Microbiol. 14:62. doi: 10.1186/1471-2180-14-62
O’toole, G. A., and Kolter, R. (1998). Initiation of biofilm formation in Pseudomonas fluorescens WCS365 proceeds via multiple, convergent signalling pathways: a genetic analysis. Mol. Microbiol. 28, 449–461. doi: 10.1046/j.1365-2958.1998.00797.x
Overbeek, R., Olson, R., Pusch, G. D., Olsen, G. J., Davis, J. J., Disz, T., et al. (2014). The SEED and the rapid annotation of microbial genomes using subsystems technology (RAST). Nucleic Acids Res. 42, D206–D214.
Palmen, R., Vosman, B., Buijsman, P., Breek, C. K., and Hellingwerf, K. J. (1993). Physiological characterization of natural transformation in Acinetobacter calcoaceticus. J. Gen. Microbiol. 139, 295–305. doi: 10.1099/00221287-139-2-295
Ramirez, M. S., Don, M., Merkier, A. K., Bistue, A. J., Zorreguieta, A., Centron, D., et al. (2010). Naturally competent Acinetobacter baumannii clinical isolate as a convenient model for genetic studies. J. Clin. Microbiol. 48, 1488–1490. doi: 10.1128/JCM.01264-09
Ramirez, M. S., Muller, G. L., Perez, J. F., Golic, A. E., and Mussi, M. A. (2015). More Than just light: clinical relevance of light perception in the nosocomial pathogen Acinetobacter baumannii and other members of the genus Acinetobacter. Photochem. Photobiol. 91, 1291–1301. doi: 10.1111/php.12523
Ramsey, M. M., Freire, M. O., Gabrilska, R. A., Rumbaugh, K. P., and Lemon, K. P. (2016). Staphylococcus aureus Shifts toward Commensalism in response to Corynebacterium Species. Front. Microbiol. 7:1230. doi: 10.3389/fmicb.2016.01230
Ringel, P. D., Hu, D., and Basler, M. (2017). The role of type VI secretion system effectors in target cell lysis and subsequent horizontal gene transfer. Cell Rep. 21, 3927–3940. doi: 10.1016/j.celrep.2017.12.020
Sarno, R., Mcgillivary, G., Sherratt, D. J., Actis, L. A., and Tolmasky, M. E. (2002). Complete nucleotide sequence of Klebsiella pneumoniae multiresistance plasmid pJHCMW1. Antimicrob. Agents Chemother. 46, 3422–3427. doi: 10.1128/aac.46.11.3422-3427.2002
Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., et al. (2011). Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7, 539–539. doi: 10.1038/msb.2011.75
Smith, M. D., Wertheim, J. O., Weaver, S., Murrell, B., Scheffler, K., and Kosakovsky Pond, S. L. (2015). Less is more: an adaptive branch-site random effects model for efficient detection of episodic diversifying selection. Mol. Biol. Evol. 32, 1342–1353. doi: 10.1093/molbev/msv022
Tayabali, A. F., Nguyen, K. C., Shwed, P. S., Crosthwait, J., Coleman, G., and Seligy, V. L. (2012). Comparison of the virulence potential of Acinetobacter strains from clinical and environmental sources. PLoS One 7:e37024. doi: 10.1371/journal.pone.0037024
Tomaras, A. P., Dorsey, C. W., Edelmann, R. E., and Actis, L. A. (2003). Attachment to and biofilm formation on abiotic surfaces by Acinetobacter baumannii: involvement of a novel chaperone-usher pili assembly system. Microbiology 149, 3473–3484. doi: 10.1099/mic.0.26541-0
Traglia, G., Chiem, K., Quinn, B., Fernandez, J. S., Montana, S., Almuzara, M., et al. (2018). Genome sequence analysis of an extensively drug-resistant Acinetobacter baumannii indigo-pigmented strain depicts evidence of increase genome plasticity. Sci. Rep. 8:16961. doi: 10.1038/s41598-018-35377-5
Traglia, G. M., Almuzara, M., Barberis, C., Montana, S., Schramm, S. T., Enriquez, B., et al. (2015). Draft genome sequence of a taxonomically unique acinetobacter clinical strain with proteolytic and hemolytic activities. Genome Announc. 3:e00030-15. doi: 10.1128/genomeA.00030-15
Traglia, G. M., Chua, K., Centron, D., Tolmasky, M. E., and Ramirez, M. S. (2014). Whole-genome sequence analysis of the naturally competent Acinetobacter baumannii clinical isolate A118. Genome Biol. Evol. 6, 2235–2239. doi: 10.1093/gbe/evu176
Traglia, G. M., Quinn, B., Schramm, S. T. J., Soler-Bistue, A., and Ramirez, M. S. (2016). Serum Albumin and Ca(2+) are natural competence inducers in the human pathogen Acinetobacter baumannii. Antimicrob. Agents Chemother. 60, 4920–4929. doi: 10.1128/AAC.00529-16
Turton, J. F., Shah, J., Ozongwu, C., and Pike, R. (2010). Incidence of Acinetobacter species other than A. baumannii among clinical isolates of Acinetobacter: evidence for emerging species. J. Clin. Microbiol. 48, 1445–1449. doi: 10.1128/JCM.02467-09
Vilacoba, E., Almuzara, M., Gulone, L., Rodriguez, R., Pallone, E., Bakai, R., et al. (2013). Outbreak of extensively drug-resistant Acinetobacter baumannii indigo-pigmented strains. J. Clin. Microbiol. 51, 3726–3730. doi: 10.1128/JCM.01388-13
Weaver, S., Shank, S. D., Spielman, S. J., Li, M., Muse, S. V., and Kosakovsky Pond, S. L. (2018). Datamonkey 2.0: a modern web application for characterizing selective and other evolutionary processes. Mol. Biol. Evol. [Epub ahead of print],
Zeidler, S., Hubloher, J., Schabacker, K., Lamosa, P., Santos, H., and Muller, V. (2017). Trehalose, a temperature- and salt-induced solute with implications in pathobiology of Acinetobacter baumannii. Environ. Microbiol. 19, 5088–5099. doi: 10.1111/1462-2920.13987
Keywords: Acinetobacter spp., biofilm, antibiotic resistance, virulence traits, biofilm, natural transformation
Citation: Schramm STJ, Place K, Montaña S, Almuzara M, Fung S, Fernandez JS, Tuttobene MR, Golic A, Altilio M, Traglia GM, Vay C, Mussi MA, Iriarte A and Ramirez MS (2019) Genetic and Phenotypic Features of a Novel Acinetobacter Species, Strain A47, Isolated From the Clinical Setting. Front. Microbiol. 10:1375. doi: 10.3389/fmicb.2019.01375
Received: 26 March 2019; Accepted: 03 June 2019;
Published: 18 June 2019.
Edited by:Lisa Sedger, University of Technology Sydney, Australia
Reviewed by:Ariadnna Cruz-Córdova, Children’s Hospital, Mexico Federico Gómez, Mexico
Mario Feldman, University of Alberta, Canada
Copyright © 2019 Schramm, Place, Montaña, Almuzara, Fung, Fernandez, Tuttobene, Golic, Altilio, Traglia, Vay, Mussi, Iriarte and Ramirez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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