Genome sequencing, assembly, and annotation

A. baumannii DS002 was grown to early stationary phase in LB medium at 30°C and the genomic DNA was isolated using a QIAGEN Genomic-tip Kit. The quality and quantity of the isolated DNA were assessed using agarose gel electrophoresis and Qubit 3.0, which is a fluorometric instrument used for quantification of DNA, RNA, and protein. The isolated DNA was subjected to sequencing using a Pacific Biosciences (PacBio) single-molecule real-time (SMRT) cell RS II instrument (chemistry version P6-C4) at Nucleome Informatics, Hyderabad. A total of 89,614 reads were obtained, out of which, 86,803 reads were more than 500bps in length. The average read length was 5601bp. The genome assembly was done by the Canu 1.8 assembly pipeline using HISEA read overlapper [26, 27]. The Canu+HISEA process involved four basic steps of read error-correction, quality/adapter trimming, contig layout construction and consensus generation. Several iterations of the assembly pipeline were performed to determine the optimal parameters. About 80,184 reads survived the error correction and trimming steps, resulting in eight different assemblies. The assemblies were annotated using Prokka v1.12 [28] and Prodigal 2.6.1 [29] pipelines. Benchmarking Universal Single-Copy Orthologs (BUSCOs) from the gammaproteobacteria set was used as a standard to assess the quality of the assembly and annotation performed [30]. A circular map of the chromosome was generated using Arc with color tool (http://www.ige.tohoku.ac.jp/joho/gmProject/gmdownload.html). The bacterial culture was deposited in the Microbial Type Culture Collection center (MTCC), IMTECH, Chandigarh, India, and is available as Acinetobacter sp. DS002 MTCC11451.

Bacterial pan-genome analysis (BPGA)

In order to identify strain-specific genomic features in a genome and determine the genomic diversity among the A. baumannii strains, the computational pipeline BPGA tool was used [31]. Although a total of 3539 A. baumannii genome sequences are available in the NCBI database most of them are incomplete and exist as scaffolds. In certain cases a complete genome sequence is available but there is an ambiguity with respect to the source of isolation. Therefore, such sequences were not considered for the pan-genome analysis. Only complete genome sequences of A. baumannii having information on the source of isolation were included in the analysis. This list comprises of 78 genome sequences, which includes the complete genome sequence of A. baumannii DS002 (Table 1). The full GenBank files of all 78 genomes downloaded from NCBI served as input for the BPGA analysis. BPGA further processed these files for orthologous cluster analysis and generated an input file containing a total of 281,137 annotated genes. This input file was subsequently used for clustering of genes into families by USEARCH with 50% sequence similarity as a cutoff. To avoid any bias during the sequential addition of genomes, 30 random permutations in the sequence/order of genomes added were carried out. The size of the pan-genome is represented by median values of the total number of distinct gene families and the core genome is represented by the number of shared gene families. Preliminary pan-genome profile analysis was performed to determine the frequency distribution of various gene families among the selected 78 complete genomes. Using the pan-genome sequence extraction module, core, accessory, and unique gene families were extracted. The exclusive gene family analysis module was used to identify homologous gene families that are distinctive for A. baumannii strains (i.e., unique genes or singletons). The pan-genome functional analysis module was used to find the Clusters of Orthologous Groups of proteins (COGs) and KEGG pathway distribution. Evolutionary analysis done by BPGA was based on concatenated core gene alignment using a binary pan-matrix file that depicts the presence or absence of the genes among the genomes. The pan-gene matrix was generated by calculating the contribution of the gene to the orthologous gene clusters. The core genome phylogenetic tree was constructed using protein sequences of 20 random orthologous gene clusters. MUSCLE (MUltiple Sequence Comparison by Log-Expectation) was used for initial multiple sequence alignment and the aligned sequences were then concatenated before constructing a neighbor-joining phylogenetic tree. To assess the genetic diversity among the genomes we performed an average nucleotide identity (ANI) analysis using the FastANI tool [32], which computes a pair-wise ANI value for the sample genome. These ANI values were then used to generate a heatmap using webserver heat mapper (http://www.heatmapper.ca) and to convert into a Euclidean distance matrix. This distance matrix was then uploaded to the web server DendroUPGMA (http://genomes.urv.cat/UPGMA/) [33] to generate a Newick format of the distance matrix. The Newick file is then used in MEGA7 [34] to view the UPGMA (unweighted pair group method with arithmetic mean) Tree based on ANI based Euclidian distance.

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Table 1. List of 78 A. baumannii strains and source of isolation.

https://doi.org/10.1371/journal.pone.0218204.t001

Comparative genomics

The primary objective of this study is to identify a niche-specific unique gene content(s) in A. baumannii strains. No environmental isolate other than DS002 exists among the 78 genome sequences included in the analysis. Therefore, we have considered the inclusion of the draft genome sequence of DSM30011 to gain insight into the unique gene content in the environmental isolate. The seventy-nine (including DSM30011) sequences of A. baumannii strains were considered for the comparative analysis of virulome, resistome, and genes involved in iron acquisition and metabolic pathways. We compiled a list of genes involved in virulence, resistance, iron acquisition, and carbon metabolism in A. baumannii from different literature studies as well as from the KEGG pathway tools (S1 File). These gene sets were then used as input to perform a Large-Scale BLAST Score Ratio (LS-BSR) analysis [35]. Principal Component Analysis (PCA) plot for LS-BSR output score matrix is generated by using the R package ggplot2 and scatterplot3d. Further, we set a BSR cut-off of 0.6 and above to determine the presence of genes and any value below 0.6 indicated their absence. The matrix file obtained from LS-BSR was used to generate heat maps and was further clustered hierarchically to provide a better understanding of the relationship between the strains using the R platform version 3.4.4 [36].

Resistome and genomic island (GI) prediction

The Resistance Gene Identifier (RGI) software of CARD (The Comprehensive Antibiotic Resistance Database) was used for prediction of the resistome [37]. The presence of GI was predicted by IslandViewer 4 [38], which uses three prediction algorithms such as SIGI-HMM, IslandPath-DIMOB, and IslandPick to calculate codon usage, dinucleotide bias within a genome, and to generate a dataset of GIs and non-GIs from phylogenetically related organisms. The GIs predicted by at least one of the three algorithms is considered for detailed analysis. In order to gain better clarity on the existence of GI and their putative functions, only eleven genome sequences, derived from strains isolated from bacteremia (TYTH-1) (CP003856), hospital (MDR-TJ) (CP003500), body fluid (6200) (CP010397), sputum (HWBA8) (CP020597), wound (AYP-A2) (CP024124), tissue (IOMTU 433) (AP014649), blood (AB031) (CP009256), infectious outbreaks (LAC-4) (CP007712), humans (AYE) (CU459141.1), and environmental (SDF) (CU468230) samples were included along with DS002 genome sequence. These genome sequences were selected by taking one from each source of isolation, and which had the highest number of unique genes.

Quantification of bacterial growth and biofilm formation

A. baumannii strains AYE and DS002 were grown either in LB medium or in minimal salt medium [39] supplemented with phenol (2 mM) as the sole source of carbon at 30°C. The biofilm formation of the strains AYE and DS002 was determined following standard procedures [40].

Genomic size and GC content of A. baumannii DS002

The de novo assembly of the PacBio raw reads using the Canu-HISEA pipeline generated 8 completely circularized contigs (S1 Table). The circularized length reflects the length after removing the overlapping portion. The largest assembled contig corresponds to the bacterial chromosome with a circular length of 3,430,798 bps. The remaining contigs correspond to the plasmid repertoire of the organism. The whole genome sequence of A. baumannii DS002 is available in the NCBI database (Genome Submission-ID: SUB3752749, BioSample submission ID: SUB3749011, BioProject submission ID: SUB3749009, accession number: CP027704.1). The Prokka annotation pipeline identified 18 rRNA, 72 tRNA, 1 tmRNA and a total of 3,569 protein-coding genes on the main chromosome of DS002, with a genomic GC content of 39.6%, which complies with the already reported genomic data of A. baumannii strains. The position of the coding genes on positive and negative strands, the GC skew and dinucleotide bias ratio for DS002 is shown in the circular map of the genome (Fig 1). The single copy orthologous genes (BUSCOs) indicate evolutionarily conserved genes among organisms belonging to a taxonomic class. The BUSCO set of gammaproteobacteria contains a total of 452 conserved orthologous genes. Of these 452 genes, 422 were found in the DS002 genome, suggesting the genome is about 93.4% complete. According to the core and pan-phylogeny analysis, the DS002 strain clustered closely with A. baumannii SDF, a strain isolated from the body louse (Pediculus humanus) (Fig 2 and S1 Fig). Among the sequences of A. baumannii, the sequence of environmental strain SDF showed the lowest ANI at nearly 96% when compared to the rest of the genomes of A. baumannii strains (S2 Fig). Interestingly, the ANI score (~97.5%) of DS002 was close to the genomes of A. baumannii strains isolated from clinical sources. The UPGMA tree constructed using Euclidean distance (obtained from ANI value) showed that strain SDF is most distant and dissimilar when compared to other strains of A. baumannii (S3 Fig). Interestingly, the UPGMA tree analysis revealed that strain DS002 has the highest similarity to A. baumannii strains isolated from sputum. PCA plot generated to gain better visualization on diversity also showed no isolation source specific clustering of A. baumannii strains. Interestingly environmental isolates DS002 and SDF were found as outliers in the PCA plot (S4 Fig).

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Fig 1. Circular map of the chromosome.

Circle 1 (outer to inner) represents the total 3251 CDS in the genome. Genes present on the positive and negative strands are depicted in red and green colour, respectively. Circles 3, 4 and 5 represent GC content, GC skew, and dinucleotide bias, respectively. The tRNA (black) and rRNA (red) coding genes and the genomic islands (blue) are shown in the outermost discontinuous circle.

https://doi.org/10.1371/journal.pone.0218204.g001

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Fig 2. Phylogenetic tree.

Core genome-derived phylogenetic tree of 78 A. baumannii strains. The position of DS002 in the phylogenetic tree is highlighted with a blue background and dotted clade line.

https://doi.org/10.1371/journal.pone.0218204.g002

Pan-genome analysis

The A. baumannii complex forms the largest species group within the Acinetobacter genus. At present, there are about 135 complete genome sequences for the A. baumannii strains isolated from a variety of ecological niches. The primary aim of the study is to identify unique and accessory genes in the genome of A. baumannii species that might contribute to their exceptional survival strategies under diverse environmental conditions. We have therefore taken only 78 genomes for which the source of isolation is well documented (Table 1). Initially, we created a pan-genome pool by taking the sequences of all genes found in these 78 genomes (281,137 sequences) and segregated them as the core, accessory, and unique gene families. The pan-versus-core gene plot clearly indicates that the pan-genome window is still open for expansion in the case of A. baumannii (Fig 3A) and with the addition of each new genome to the A. baumannii complex a change in the pan-genome profile can result. Distribution of gene families and new genes within the pan-genome of the A. baumannii complex are shown in Fig 3B and 3C. Representative protein sequences of the core (1344), accessory (4644), and unique (1695) genes were identified and their COG and KEGG identities established. Accessory genes, which includes those present in only a few genomes, intriguingly are involved in cellular metabolism, emphasizing an ecological niche-specific change in the genome. Moreover, the genes involved in information storage and processing activities of the cell were all identified in the unique genes of the pan-genome (Fig 3D & 3E). The details of core, accessory and unique genes present in each of the 78 genomes are shown in the S2 Table. After segregation of pan-genome into the core, accessory, and unique genes, we specifically analyzed unique genes from the eleven representative strains to determine whether it is possible to identify a particular feature or features of the genetic composition that might contribute to niche-specific survival of A. baumannii strains.

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Fig 3. Pan genome analysis.

Panel A indicates the pan and core genome curves. Panel B shows the frequency distribution of gene families within genomes. The number of new genes added to each genome is depicted in panel C. The COG and KEGG distribution of the representative proteins in the core, accessory, and unique genome are shown in panels D, and E respectively.

https://doi.org/10.1371/journal.pone.0218204.g003

Unique genome content

In the unique genome content, we noticed genes that contribute to carbon catabolism, virulence, and drug resistance. As the analysis of the unique genes from all 78 genomes is challenging, we restricted our analysis to eleven representative genomes, taking one representative from each source of isolation with the highest number of unique genes. While analyzing the unique genes we found kgdL in the unique gene pool of A. baumannii 6200, isolated from the body fluid, which codes for the large subunit of membrane-bound gluconate 2-dehydrogenase [41]. Similarly, in A. baumannii HWBA8, a strain isolated from sputum, a membrane-bound PQQ-dependent dehydrogenase was identified as part of its unique genome. These membrane-bound dehydrogenases are linked to the cytoplasmic respiratory chain through their unique N-terminal domains. The PQQ-dependent dehydrogenases play a role in incomplete oxidation of monosaccharides leading to accumulation of breakdown products in the culture medium [41]. The physiological role of these membrane-bound dehydrogenases is still uncertain; however, results of several studies suggest that they provide additional energy-conserving systems, which aids the survival of the strain in environments with high energy demands [42–44].

The hrgA gene exists in the unique genome of AB031

In blood isolate AB031, a hrgA gene was identified as one of the unique genes. The hrgA gene was initially identified in Helicobacter pylori, a well-known pathogen in the human gastrointestinal tract, as part of the restriction and modification system [45]. In H. pylori the hrgA gene has replaced the restriction component hypIIIR locus. The existence of hrgA has been reported in nearly 33% of the sequenced H. pylori strains. Although the physiological or evolutionary significance of such gene replacement is unknown, a recent clinical study associated the hrgA gene with an increased incidence of gastric cancer [46]. The hrgA gene in H.pylori is present upstream of the hypIIIM gene encoding for the methylase component of the HypRM system. Since its existence is unique in AB031, we have analyzed the sequence regions 1000 bps upstream and downstream of the hrgA gene to determine whether hrgA also forms a part of such restriction and modification system in Acinetobacter sp. Interestingly, there was no indication from the DNA sequences of any association of hrgA with a modification system. Instead, we observed a gene coding for glycine tRNA synthetase subunit β and a gene coding for an uncharacterized transporter in the upstream and downstream regions of hrgA, respectively. Since the existence of hrgA is of clinical significance we searched all 3539 A. baumannii genome sequences to identify the hrgA gene. Our BLAST search revealed the presence of hrgA only in two genomes, namely A. baumannii 1297 (perirectal) and A. baumannii AB136 (blood). Both of them are clinical isolates and were isolated from human samples. Several studies have reported the occurrence of horizontal gene transfer between A. baumannii and bacteria belonging to other genera. It is conceivable that if A. baumannii frequently co-infects the host together with these hrgA-bearing pathogens, there is a possibility for A.baumannii to acquire hrgA from, for example, H. pylori, through HGT (41).

The resistome is part of the unique gene pool in AYE

Several studies performed on the human pathogen AYE have established it as an XDR strain of A. baumannii complex. The genes conferring drug resistance, including aadB, encoding a 2-aminoglycoside nucleotidyltransferase, bla_OXA-10 encoding beta-lactamase OXA-10 precursor, dhfrI encoding for dihydrofolate reductase type 1, dhfrA10 coding for dihydrofolate reductase type A10, and veb-1 encoding the extended-spectrum beta-lactamase were identified in the unique genome of the AYE strain.

Rut pathway encoding genes are in the unique genome of B8342

The unique genome of blood isolate B8342 contains genes involved in pyrimidine degradation via the Rut (pyrimidine utilization) pathway. The rutABCDEFG operon gene products facilitate the use of pyrimidines as a sole nitrogen source. In E. coli, the rut operon is part of NtrC regulon [47] and is highly expressed under nitrogen-limiting conditions [48]. The rutA gene codes for pyrimidine oxygenase and is involved in ring cleavage of pyrimidines, thereby producing the toxic ureidoacrylate peracid. The rutF gene is a flavin reductase involved in the regeneration of the flavin mononucleotide cofactor, while rutB encodes an amidohydrolase and is involved in the further breakdown of peracid in vitro. The rutBCD genes are assumed to catalyze the breakdown of ureidoacrylate peracid in vivo, subsequently releasing toxic malonic semialdehyde [49]. In E. coli, two genes, rutE, and ydfG have been reported to convert malonic semialdehyde into 3-hydroxypropionate [50]. Apparently, the Rut pathway is functional only at low, or at room temperature, and not at 37°C [51], as the toxic malonic semialdehyde cannot be converted into 3-hydroxypropionate at 37°C [48]. The physiological concentration of pyrimidines in blood plasma and other body fluids is around 0.4–0.6 μM, which is considerably lower than the intracellular concentrations of 0.5–3 mM [52]. If a pathogen acquires the capacity to utilize pyrimidines as a source of nitrogen, it certainly would be advantageous to blood isolates like A. baumannii B8342. The Rut pathway has also been identified among soil proteobacteria and is suggested to have a role in utilizing pyrimidines generated from decaying plant material as a source of nitrogen [49]. Identification of the Rut pathway in a pathogenic strain signifies its importance in the survival of organisms with pathogenic lifestyles. In contrast to the clinical isolates, the major portion of the unique genome of non-clinical isolate SDF comprises hypothetical genes. Interestingly, its unique genome codes for putative hemaglutinin/hemolysin-related proteins [11]. The presence of such genes in the SDF strain might help its survival as an ectoparasite by feeding on human blood.

Comparison of carbon catabolome

Most of the A. baumannii strains used in the study contained similar carbon metabolic pathways, and show no preference for a specific carbon source (Fig 4). However, the soil isolate includes genes coding for phenol 2-monooxygenase (pheA) and phenol hydroxylase (mphL) enzymes. Interestingly, these genes were absent in most of the clinical isolates. Phenol hydroxylase is a multicomponent monooxygenase that cleaves the aromatic ring and comprises three enzymatic components including a reductase, an oxygenase, and a regulatory component [53]. The oxygenase component has a dinuclear iron center at its active site, in which an oxygen atom is complexed by two iron ions. The reductase component transfers electrons to the dinuclear iron center facilitating the initial hydroxylation and subsequent detoxification of recalcitrant aromatic compounds such as phenol, benzene, toluene, xylene, and methyl or chlorophenols, to generate catechol. Catechol is subsequently degraded either by ortho- (Acinetobacter sps) or meta-cleavage (Pseudomonas spp) pathways [54, 55] enabling the cells to use these rare and recalcitrant carbon compounds as a source of carbon and energy.

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Fig 4. Heat map showing LS-BSR analysis of genes involved in carbon catabolism.

Genes extensively discussed in the text as well as the strain DS002 are highlighted in red font.

https://doi.org/10.1371/journal.pone.0218204.g004

Monooxygenase-encoding pheA genes have been identified in a number of soil microbes including yeast Trichosporon cutaneum,[56], Pseudomonas pickettii PKO1[57], Bacillus stearothermophilus BR219 [58], and some species of Acinetobacter [59]. A recent study has also shown the presence of a gene coding for phenol hydroxylase in pathogenic strains of A. baumannii. Existence of catabolic potential for phenol in pathogenic A. baumannii strains is a matter of huge concern as phenolic substances are used as disinfectants in hospitals [60]. Since strain DS002 contains the genetic capability for metabolizing phenolic substances we tested if it can grow using phenol as the sole source of carbon. Consistent with the genetic information, DS002 was able to grow in minimal salt medium containing 2mM phenol as the sole source of carbon. However, A. baumannii strain AYE in which no pheA homologues were identified failed to grow under similar culture conditions (S5 Fig). Our study has also revealed the presence of genes involved in phenol degradation in A. baumannii strains isolated from different body fluids (Fig 4) and this feature of these strains poses a major challenge in the use of phenol-based disinfectants in hospital environments.

Virulome of A. baumannii strains

Analysis of the virulome of the A. baumannii strains revealed the presence of similar virulence genes in most of the clinical isolates, suggesting the pathogenic nature of the majority of stains within the A. baumannii complex (Fig 5). Interestingly, a significant variation was observed with respect to the biofilm-associated genes. In the environmental isolates, the operon coding the csu pili chaperone-usher assembly system, which is known to contribute to biofilm formation [61], is only present in pathogenic A. baumannii strains and is absent in the genome of the soil isolate DS002 and the SDF strain (Fig 5). In addition to the csu operon, the biofilm-associated protein (bap) and blue light-sensing (blsA) gene, whose roles in biofilm formation have been established, were found in all pathogenic strains of A. baumannii [62–65]. None of these biofilm-associated virulence genes was observed in soil isolate DS002 and the SDF strain isolated from the body louse [11]. Interestingly, strain DS002 also carries the pgaABCD operon reported to be essential for the production, modification, and export of poly-β-1,6-N-acetyl-D-glucosamine (β-1,6-GlcNAc; PGA). The roles of pgaC and pgaD genes in the biosynthesis of poly-β-1,6-N-acetyl-D-glucosamine (PGA) is well established. The pgaB gene encodes an N-deacetylase that converts 15–20% of GlcNAc to glucosamine and pgaA codes for a membrane porin required for PGA export [66–68]. The absence of pgaA in DS002 might weaken the polysaccharide matrix necessary for biofilm formation. Similarly, the entire pgaABCD operon is absent the genome of the SDF strain (Fig 5). The role of PNAG in biofilm-mediated virulence has been previously reported in almost 30 clinical isolates of Acinetobacter baumannii [69]. In agreement with the genetic evidence, the multidrug-resistant AYE strain, which has the genetic repertoire for biofilm production, was significantly better at forming a biofilm compared with the soil isolate DS002, with no difference observed in their growth (S6 Fig).

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Fig 5. Heat map showing LS-BSR analysis of genes involved in virulence.

Genes extensively discussed in the text as well as the strain DS002 are highlighted in red font.

https://doi.org/10.1371/journal.pone.0218204.g005

Comparison of the resistome

Strains belonging to the A. baumannii complex show intrinsic β-lactamase activity due to the existence of β-lactamases like the cephalosporinase AmpC [17]. These genes, when associated with the IsAba1-type insertion element, confer resistance to 3^rd generation cephalosporins [17]. The weak oxacillinase activity of A. baumannii strains is attributed to the presence of bla_OXA-51/69 type oxacillinases [70]. An increased oxacillinase activity, which confers resistance to imipenem, is associated with the presence of IsAba1-type insertion elements [71, 72]. Most of the strains considered in our study, irrespective of their source of isolation, have shown the presence of chromosomally located bla_OXA-51-like genes. A subset of oxacillinases is known to exhibit weak carbapenemase activity when compared to the metallo-β-lactamases and hence are grouped in the carbapenem-hydrolyzing class-D β-lactamases [17]. In A. baumannii, different types of Carbapenem-Hydrolyzing Class D β-Lactamases (CHDLs) are observed, which include, OXA-23-like, OXA-40/24-like, OXA-58-like [73], OXA-143-like [74], and OXA-235-like [75]. Significantly, the present study revealed the existence of an OXA-23-like CHDL gene as part of the unique genome in strain IOMTU 433, due to its presence as part of mobile genetic elements [76, 77]. The presence of both intrinsic bla_OXA64 (51-like) and acquired bla_OXA23 genes was observed in A. baumannii IOMTU 433. Carbapenem-associated outer membrane protein (CarO) is a membrane porin that facilitates uptake of imipenem due to the presence of an imipenem-binding site in the protein (61). Its absence in the genome of DS002 strain, but the presence of ampC, suggests possible weak carbapenemase activity exhibited by the strain (Fig 6).

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Fig 6. Heat map showing LS-BSR analysis of genes involved in resistance.

Genes extensively discussed in the text as well as the strain DS002 are highlighted in red font.

https://doi.org/10.1371/journal.pone.0218204.g006

Genome sequences of certain strains have shown the presence of genes that code for broad-spectrum β-lactamases, such as cephalosporinase-blaADC, and TEM-1 β-lactamases. Tissue isolate IOMTU 433 also possesses an NDM-1metallo-β- lactamase gene, making the strain resistant to all known classes of β-lactams [78]. The extremely drug-resistant human isolate of A. baumannii AYE was observed to contain veb-1 (Vietnamese extended-spectrum beta-lactamase) genes, which provide resistance towards extended-spectrum cephalosporins and aztreonam.

In addition to β-lactamases, pathogenic strains were also found to express aminoglycoside-modifying enzymes conferring resistance to aminoglycoside antibiotics. All three types of aminoglycoside-modifying enzymes including i) N-acetyltransferases (AAC), which catalyze acetyl CoA-dependent acetylation of an amino group, 2) O-adenyltransferases (ANT) catalyzing ATP-dependent adenylation of hydroxyl group, and 3) O-phosphotransferases (APH) that catalyze ATP-dependent phosphorylation of a hydroxyl group on the aminoglycoside antibiotics [79], are found in the genome of infectious strains, leading to their successful emergence as MDR pathogens (Fig 6). Furthermore, the sul1 gene has been identified in the genome of strains AYP-A2 and AYE, indicating their potential resistance to sulfonamides. However, none of these genes was identified in the genome of soil isolate DS002, probably owing to the strain’s limited exposure to such classes of antibiotics in the soil environment.

Efflux-mediated resistance in A. baumannii strains is well established, and it contributes significantly to MDR. The acinetobacter drug efflux (ade) pumps comprise the first Resistance-Nodulation-Division (RND) efflux pumps to be identified among the clinical isolates of Acinetobacter but is not present in environmental isolates. In accordance with previous reports, the environmental isolate DS002 lacks the adeABC RND efflux pump and the corresponding two-component regulatory system, adeRS, which contribute to resistance towards aminoglycosides, tetracyclines, erythromycin, trimethoprim, fluoroquinolones, some beta-lactams, and tigecycline [80–82]. However, it contains other RND efflux pumps such as adeIJK and adeFGH, which are involved in the efflux of ticarcillin, cephalosporins, aztreonam, fluoroquinolones, tetracyclines, tigecycline, lincosamides, rifampin, chloramphenicol, cotrimoxazole, novobiocin, and fusidic acid (Fig 6). Non-RND efflux pumps, such as abeS and abeM, were also found in the genome of DS002. All the representative pathogenic strains considered in our study were found to code for the adeABC efflux pumps. In addition to these, the AYP-A2 and AYE strains encoded Tet and CmlA efflux pumps, accounting for resistance to tetracycline and chloramphenicol.

In summary, the genome of strains belonging to A. baumannii complex contains numerous resistance genes and efflux pumps that are either characteristic of A. baumannii species and that have been presumably acquired, resulting in the drug-resistant nature of A. baumannii strains.

Diversity in iron uptake mechanism

Iron acquisition is a major challenge faced by soil bacteria due to the insolubility of Fe (III) in aerobic habitats. Over the period of evolution, bacteria have developed several mechanisms to acquire Fe (III) from the environment. Siderophores are iron-scavenging molecules that are synthesized and released by bacteria for iron uptake. In the genome sequences of Acinetobacter, five major siderophore biosynthetic clusters were reported [83, 84]. Prominent among these is acinetobactin; its biosynthetic genes are found in all genome sequences of A. baumannii except in the non-clinical isolate A. baumannii SDF strain [24, 84]. The genome of soil isolate DS002 lacked most of the acinetobactin biosynthetic genes (basABCDEFGJ) except for basH and basI or the genes involved in acinetobactin uptake (bauAD) except bauB, bauC and bauE, and release (barAB) (Fig 7). Similarly, biosynthesis of the siderophore fimsbactin was specifically identified in A. baumannii ATCC 17978 and ADP1 [85]. This siderophore biosynthetic gene cluster is absent in the DS002 strain. However, the genome of DS002 appears to have all genes involved in the biosynthesis of the siderophore identified in A. baumannii ACICU (gp1672-1683), except the gene that codes for demethylmenaquinone methyltransferase. As this type of iron acquisition mechanism is poorly studied, little information pertaining to the gene products is available in the literature. Some of the genome sequences of A. baumannii complex reveal the presence of genes coding for a catecholate siderophore (A. baumannii ABAYE1888-1889), encoding isochorismatase and a 2, 3-dihydro-2,3-hydroxybenzoate dehydrogenase [86]. These were identified in the genome of DS002. These enzymes produce 2,3-dihydroxybenzoate, an iron-binding molecule, which also serves as a precursor for the synthesis of complex siderophores [86]. The siderophore-mediated uptake of iron by Gram-negative bacteria is facilitated by the presence of TonB-dependent transport systems comprising an outer membrane receptor, a periplasmic binding protein, and an inner membrane permease. Several iron-responsive tonB-dependent receptors involved in cognate siderophore recognition and uptake have been identified in Acinetobacter. Genes coding for fhuA, an outer membrane ferrichrome receptor, fhuB, an inner membrane permease, and fhuD, encoding a periplasmic binding protein, were identified in the genome of DS002, indicating the probable uptake of a ferrichrome-type siderophore. Interestingly, most siderophore-related genes were found on a large GI (771Kb - 800Kb, ~30Kb) predicted in the genome of A. baumannii DS002 (Fig 8). This island contains 30 different ORFs, of which four encode putative transposases, 13 hypothetical genes, and the remaining 13 ORFs appear to be involved in iron acquisition. The genes include fhuB, a permease involved in ferrichrome uptake, feuB, a permease involved in enterochelin uptake and fcuA, a receptor for ferric citrate uptake, along with the fur gene, which is the master transcriptional regulator of the iron-responsive genes. The genes yusV and yclQ, also found in this island, encode putative siderophore-transport system ATP-binding proteins.

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Fig 7. Heat map showing LS-BSR analysis of genes involved in iron acquisition.

Genes extensively discussed in the text as well as the strain DS002 are highlighted in red font.

https://doi.org/10.1371/journal.pone.0218204.g007

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Fig 8. Genomic Island.

The genetic map indicates the genomic island (30Kb) identified in the genome of DS002 with putative iron acquisition machinery. Genes coding a TonB transport system and hypothetical proteins are shown with dark green and blue arrows, respectively. The genetic map also indicates the presence of tnsB, tnsC_1, tnsC_2, tnsE_1 encoding a transposase (red), along with uvrD (grey), racE (light blue) and recF2 (yellow) encoding DNA helicase, racemase, and a DNA replication/repair protein, respectively.

https://doi.org/10.1371/journal.pone.0218204.g008

Genomic islands (GIs)

After identifying a GI including genes encoding the iron uptake machinery in DS002, we then looked for GIs in the eleven representative strains. Most of the A. baumannii strains contain on an average 30–40 GIs per genome, indicating a high degree of horizontal mobility of DNA among the strains of the A. baumannii complex. In pathogenic A. baumannii strains, the genes associated with the predicted GIs encode proteins and enzymes involved in either aromatic degradation, formaldehyde detoxification, the type I secretion pathway for protein translocation, restriction-modification systems, amino acid biosynthesis, competence proteins, exoribonuclease VII, or heavy metal resistance (mercury, copper, and arsenic). All predicted GIs can be considered as contributing to general fitness and facilitate survival of the respective strains under unfavorable environmental conditions. The genes contributing to resistance to gentamicin, sulfonamides, β-lactams, streptomycin, and their respective efflux pumps were found on GIs in drug-resistant strains such as AYE, HWBA8, AYP-A2, which were isolated from human, sputum and wound sites, respectively. Interestingly, the majority of GIs in pathogenic strains was found to code for bacteriophage-related genes with a putative function in phage assembly and maintenance (at least 8–59 copies of phage genes). Contrary to the GI landscape in pathogenic strains, the GIs in the soil isolate DS002 did not code for any of these genes, except for copper resistance. Additionally, it contained two copies of prophage integrase genes, which were not seen in other strains, and an island that encoded the ferripyoverdine receptor (fpvA), that is known to be involved in the uptake of the pyoverdine siderophore [87]. In both DS002 and the AYP-A2 strains, one of the islands was found to encode all the NADH: quinone oxidoreductase subunits, which play a key role in respiration.