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Antimicrobial Agents and Chemotherapy logoLink to Antimicrobial Agents and Chemotherapy
. 2016 Sep 23;60(10):5933–5941. doi: 10.1128/AAC.00477-16

Use of Comparative Genomics To Characterize the Diversity of Acinetobacter baumannii Surveillance Isolates in a Health Care Institution

Lalena Wallace a,b, Sean C Daugherty b, Sushma Nagaraj b, J Kristie Johnson c, Anthony D Harris d, David A Rasko a,b,
PMCID: PMC5038335  PMID: 27458211

Abstract

Despite the increasing prevalence of the nosocomial pathogen Acinetobacter baumannii, little is known about which genomic components contribute to clinical presentation of this important pathogen. Most whole-genome comparisons of A. baumannii have focused on specific genomic regions associated with phenotypes in a limited number of genomes. In this work, we describe the results of a whole-genome comparative analysis of 254 surveillance isolates of Acinetobacter species, 203 of which were A. baumannii, isolated from perianal swabs and sputum samples collected as part of an infection control active surveillance program at the University of Maryland Medical Center. The collection of surveillance isolates includes both carbapenem-susceptible and -resistant isolates. Based on the whole-genome phylogeny, the A. baumannii isolates collected belong to two major phylogenomic lineages. Results from multilocus sequence typing indicated that one of the major phylogenetic groups of A. baumannii was comprised solely of strains from the international clonal lineage 2. The genomic content of the A. baumannii isolates was examined using large-scale BLAST score ratio analysis to identify genes that are associated with carbapenem-susceptible and -resistant isolates, as well as genes potentially associated with the source of isolation. This analysis revealed a number of genes that were exclusive or at greater frequency in each of these classifications. This study is the most comprehensive genomic comparison of Acinetobacter isolates from a surveillance study to date and provides important information that will contribute to our understanding of the success of A. baumannii as a human pathogen.

INTRODUCTION

The Acinetobacter genus is comprised of 34 named species, many of which are found ubiquitously in the environment (1). The most clinically relevant species are members of what is known as the Acinetobacter calcoaceticus-baumannii (Acb) complex, which include A. baumannii, A. nosocomialis, A. pittii, and A. calcoaceticus (2). The organisms of the Acb complex are difficult to distinguish from each other using traditional culturing and molecular diagnostic methods employed in the current clinical microbiology laboratories (3). A. baumannii is the most frequently isolated Acinetobacter species in the health care setting (4), partly due to its ability to survive on abiotic surfaces for long periods of time (5), as well as its ability to rapidly develop antibiotic resistance (6). It is an important emerging nosocomial pathogen associated with common infections, multidrug resistance, and a high transmission rate within hospitals all over the world (7).

Prior genomic studies of A. baumannii have mainly focused on multidrug-resistant strains and have identified key determinants associated with resistance (814). A genomic comparison of six clinical isolates of A. baumannii concluded that despite extensive genome-wide similarity, the resistance gene repertoire was highly variable, even in the genomically closely related isolates (10). In addition, another comparison of multidrug-resistant strains isolated from diverse body sites concluded that there was no gene content exclusivity based on site of isolation (11). Limited whole-genome studies have provided insight into A. baumannii and identified a common core set of genes and a highly variable accessory genome that includes many of the acquired antibiotic resistance genes (14, 15).

One of the main characteristics that accounts for the ability of A. baumannii to persist in the clinical setting is its ability to acquire the DNA for numerous antimicrobial resistance mechanisms (16). The bacterium has been demonstrated to acquire resistance by either mutation of existing DNA or acquisition of mobile elements, such as plasmids (17), transposons (18), and resistance islands, that carry the genes responsible for antimicrobial resistance (1921).

The group of β-lactam antibiotics known as the carbapenems is commonly used to treat A. baumannii infections (22). However, A. baumannii can acquire resistance to carbapenems by acquiring carbapenem-hydrolyzing class D β-lactamase genes such as OXA-23 (23). Another OXA gene, OXA-51, is chromosomal and believed to be native to most, if not all, A. baumannii isolates (24). Although it is typically a weak carbapenemase, acquiring mutations or movement from the chromosome to a plasmid, thereby effectively increasing the copy number, has been reported to increase activity in some isolates (25, 26). Since the carbapenems are one of the last lines of defense in terms of antibiotics against this pathogen, efforts to elucidate factors that contribute to the acquisition of resistance will be important to further our understanding of how to treat infections and develop new therapies, and genomic studies such as the present one will prove important to further this understanding.

Multilocus sequence typing (MLST) is a common molecular method used to distinguish different clonal lineages of A. baumannii as well as outbreaks in a health care setting (2730). There are two major MLST schemes used for typing of A. baumannii strains, Pasteur and Oxford (31, 32). Numerous clonal groups of A. baumannii species have been identified by MLST, and these clonal groups are often associated with specific geographic locations (33, 34). International clonal lineages I, II, and III are the most frequently observed clonal lineages isolated in the hospital setting (33, 3537). While International clonal lineages I and II are identified worldwide, lineage III appears to be more prevalent in Europe (38).

Although MLST has been a relatively effective typing scheme for this pathogen, whole-genome sequencing has provided additional insight into the potential virulence and evolution of this important human pathogen (39). Previous whole-genome comparisons of Acinetobacter, particularly A. baumannii, have included a number of isolate collections (9, 11, 40). A total of 1,136 genomes are publically available in GenBank at the time of the writing of the manuscript, and although there are many genomes in GenBank, not all have been examined in the comparative studies listed above. Most of the strains genomically characterized to date have been from outbreaks, from cases of hospital infections, or from retrospective collections (8, 10). In a comparison of multidrug-resistant A. baumannii isolates from diverse human body sites, Sahl et al. did not identify genomic regions that were exclusive to any particular phenotype or site of isolation; however, this comparison only included a limited number of genomes (11). While these analyses have provided important insight into the genomic characteristics, resistance mechanisms, and outbreak potential of this pathogen, inclusion of strains from surveillance samples, such as the ones examined in the present study, may allow for a more meaningful and unbiased comparison of associated genetic features.

In this study, we sequenced the genomes of 254 Acinetobacter species isolates and characterized these genomes using whole-genome phylogenetic analysis (41), MLST (31, 32), and large-scale BLAST score ratio analysis (LS-BSR) (42). The genomic content within these isolates, in addition to 61 sequenced reference genomes, demonstrates tremendous diversity in the Acinetobacter species. However, we have identified a limited number of genetic features that may further our understanding of the success of this pathogen in the clinical setting.

MATERIALS AND METHODS

Strain selection.

Isolates were obtained from a collection of patient surveillance samples collected as part of a cohort study at the University of Maryland Medical Center (UMMC). This surveillance cohort included a total of 2,220 Acinetobacter isolates from 985 patients treated in UMMC medical and surgical intensive care units, with isolation dates ranging from 2005 to 2012 (43, 44). Isolates were obtained which provide samples from a broad range of years, subjects, and human body isolation locations. Swabs were cultured on selective media for Acinetobacter species, and carbapenem susceptibility was tested using the Kirby-Bauer disk diffusion method (45). A total of 96 sputum and 158 perirectal isolates were selected for sequencing. Additionally, 61 publicly available reference Acinetobacter strains were included in these genomic analyses (see Table S1 in the supplemental material).

DNA isolation and sequencing.

For genomic DNA isolation, strains were grown overnight at 37°C with shaking at 250 rpm in Luria-Bertani broth, and the Sigma GenElute genomic kit (Sigma-Aldrich) was used to isolate DNA. Genomic DNA was extracted with standard methods (46) and sequenced on the Illumina HiSeq 2000 platform. The resulting 100-bp reads were assembled with the MaSurRCA Assembler (47) at the University of Maryland Institute for Genome Sciences, Genome Resource Center. The resulting assembly metrics of the entire genomic content and corresponding accession numbers are shown in Table S1 in the supplemental material.

Phylogenetic analysis.

The whole-genome phylogeny was inferred using the In Silico Genotyper (ISG), an open-source pipeline (41). In brief, 315 assembled genomes, including the 254 newly sequenced genomes, were aligned, and single-nucleotide polymorphisms (SNP) were called using the fully sequenced A. baumannii isolate TYTH-1 as the reference (48). The program FigTree v1.4.0 was used for visualization (http://tree.bio.ed.ac.uk/software/figtree/).

LS-BSR.

Large-scale BLAST score ratio (LS-BSR) analysis was performed as described previously (42). Briefly, the LS-BSR pipeline includes the program Prodigal (49), which was used to predict all coding sequences from query genomes. Coding sequences were then dereplicated using USEARCH (50) and clustered, and one representative sequence from the cluster, known as a centroid, was used to generate the BSR values. One could consider the centroid sequences as the complete collection of nonredundant coding sequences in this collection of genomes. All unique coding sequences were then translated with BioPython, and a reference bit score was calculated based on a TBLASTN alignment. Each query sequence was aligned against each genome and a query bit score was generated. Dividing the query bit score by the reference bit score then generated the final BSR values. Centroids considered exclusive to a group had a BSR value of ≥0.8 in genomes in the target group and ≤0.4 in all genomes in the nontarget group. Core centroids all had BSR values of ≥0.8 in all genomes analyzed. Centroids considered unique in one genome had a BSR value of ≥0.8 in a single genome. The matrix of BSR values was visualized using Multiple Experiment Viewer (MeV) (51), and the Interactive Tree of Life project (52) was used to generate a heatmap for the comparison of the virulence genes.

In order to determine centroids present in greater frequency among phylogenetic or clinical groups, centroids within groups were counted and a matrix of these values was generated. The R program was used to examine the values using Fisher's exact test (53). The output included P values for each of the centroid frequencies within the specific groupings. A P value threshold of ≤0.001 was considered significant for all comparisons.

MLST analysis.

In silico multilocus sequence type (MLST) profiles were assigned using the sequences for MLST markers for the Oxford typing scheme (gltA, recA, cpn60, gyrB, gdhB, rpoD, and gpi) (31) and Pasteur typing scheme (gltA, recA, cpn60, fusA, pyrG, rpoB, and rplB) (32). Sequences were downloaded from the pubMLST database (http://pubmlst.org/abaumannii) and then used to extract allele sequences from each of the 203 A. baumannii genomes using the BLASTN tool. The extracted sequences were then uploaded to the pubMLST database to assign both existing and novel sequence types.

Accession numbers.

Sequence data for the 254 Acinetobacter species isolates have been deposited in GenBank, and the accession numbers are listed in Table S1 in the supplemental material.

RESULTS AND DISCUSSION

Genome statistics.

The 254 Acinetobacter species isolates were sequenced, assembled, and deposited in GenBank. Summary details of descriptive statistics for isolates by year are listed in Table 1. The genome assembly statistics are provided in Table S1 in the supplemental material. A total of 203 A. baumannii isolates were selected for further analysis to include the greatest period of time between isolates (2006 to 2012) for carbapenem-resistant and -susceptible isolates, as well as isolates collected from both the perirectal and sputum surveillance sources. The average genome size for all A. baumannii genomes was 4.09 Mb (range, 3.70 Mb to 4.85 Mb), and the average GC content was 39.1% (range, 38.8% to 39.4%), which is common for this species.

TABLE 1.

Summary of all Acinetobacter isolates newly sequenced in this study by year

Yr Total no. of isolates % of total isolates No. (%) of isolates
No. (%) of samples
Carbapenem resistant Carbapenem sensitive Sputum (%) Perirectal (%)
Before 2009 42 17 31 (74) 11 (26) 2 (5) 40 (95)
After 2009 212 83 99 (47) 110 (52) 94 (44) 118 (56)

There was no bias of genome size based on location of isolation or resistance phenotype observed (data not shown). There was no statistical difference in average genome size for carbapenem-resistant isolates, 4.11 Mb (3.84 to 4.85 Mb), compared to susceptible isolates, 4.05 Mb (3.68 to 4.70 Mb), using a P value cutoff of <0.01. In addition, the %GC was similar for resistant and susceptible isolates, 39.1% and 39.0%, respectively. Likewise, a comparison of the genome size for isolates collected from sputum versus by perirectal swab, 4.07 Mb (3.68 to 4.51 Mb) and 4.10 Mb (3.70 to 4.85 Mb), respectively, showed no statistical difference (P < 0.01).

Phylogenetic analysis of Acinetobacter strains.

The whole-genome phylogeny was inferred using the 254 Acinetobacter species sequenced in this project, as well as 61 additional reference Acinetobacter species genomes that were publically available in GenBank (see Table S1 in the supplemental material). When the genomes were compared using ISG (41), a total of 22,788 informative SNPs were identified. Based on the genome clustering with characterized reference genomes, 242/254 (95.3%) of the isolates selected for genomic analysis were part of the Acinetobacter calcoaceticus-baumannii (Acb) complex (Fig. 1). Twelve of the genomes in this analysis clustered with the reference genome for A. radioresistens, which is known to colonize human skin but is not considered a clinically relevant member of the Acb complex (54). The majority of the newly sequenced isolates, 79.9% (203/254), could be further classified as A. baumannii based on the phylogenetic similarity to reference isolates, and 16.2% (39/242) of isolates identified as species inside the Acb complex but not A. baumannii.

FIG 1.

FIG 1

Phylogenomic analysis of Acinetobacter genomes. Phylogenetic analysis of 254 newly sequenced Acinetobacter genomes and 61 genomes that had been previously sequenced. Genomes were aligned and SNPs were called using the program MUMmer. GATK Unified Genotyper was used to call and determine ambiguity of SNPs and to generate a VCF file. RAxML 7.2.8 was used to infer the phylogenetic tree with 100 bootstrap replicates. The phylogeny was rooted with the A. baumannii TYTH-1 complete genome.

The inferred phylogeny shown in Fig. 1 identifies two major phylogenomic groups of A. baumannii (Fig. 1, yellow and salmon groups). These two phylogenomic groups are akin to the epidemic or global clones that have been previously discussed in the literature (12, 14), with our phylogenomic group 1 being similar to the clonal complex 1. The distribution of isolates based on carbapenem susceptibility reveals that a greater proportion, 80% (92/115), of the isolates present in the A. baumannii phylogenomic group 2 are carbapenem resistant, whereas only 41% (36/88) of the isolates in phylogenomic group 1 are resistant. This was found to be statistically significant (P < 0.001) with a t test.

When the isolates were examined based on the isolation source and resistance phenotype, 72% (56/78) of the sputum isolates were resistant to carbapenems, and 60% (75/125) of the perirectal isolates were resistant. This difference was not statistically significant (P > 0.001). Examination of the isolation source within the two A. baumannii phylogenetic groups revealed a greater proportion of perirectal isolates in phylogenetic group 1. A total of 33% (29/88) of isolates in phylogenetic group 1 and 44% (51/115) in phylogenetic group 2 were isolated from sputum, whereas 67% (59/88) of the isolates from phylogenetic group 1 and 56% (64/115) from phylogenetic group 2 were isolated from perirectal swabs. These differences also were not found to be statistically significant (P > 0.001).

Overall, the newly sequenced isolates in this study are overrepresented by perirectal carbapenem-resistant isolates that are members of A. baumannii phylogroup 2 compared to other large-scale A. baumannii comparative genomics studies (1315, 39, 55).

MLST.

The results of the MLST profiling of the genomes included in these analyses using two different MLST schemes (Pasteur and Oxford) are presented in Table S1 in the supplemental material. MLST sequence types (ST) were determined and the results overlaid onto the whole-genome phylogeny (see Fig. S1a and b in the supplemental material). The results indicate that the Pasteur (32) and Oxford (31) schemes differ remarkably in terms of distribution of similar STs compared to the phylogenetic tree inferred based on the whole-genome analysis. The STs assigned by the Pasteur scheme are more consistent with the results of the whole-genome phylogeny (see Fig. S1a in the supplemental material), with most strains in A. baumannii phylogenomic group 2 assigned to Pasteur ST 2. In contrast, the results from the Oxford MLST schema were less congruent with the whole-genome phylogeny and there was a greater number of STs represented and a significant number of strains with novel STs, suggesting that the allele sequences for this MLST scheme were more variable among the isolates examined. A similar finding of the lack of congruence with pulsed-field gel electrophoresis and MLST typing was also previously noted (56).

LS-BSR analysis.

The genome contents of the A. baumannii isolates were analyzed using LS-BSR (46). Generation of the LS-BSR matrix resulted in the reduction of 959,329 potential coding sequences present in the newly sequenced A. baumannii genomes to a nonredundant set of 13,585 centroids (see Data File S1 in the supplemental material). The average number of centroids present at a BSR value of ≥0.8 in each strain was 4,675 (range, 4,154 to 5,312). The analysis identified 1,507 centroids that were conserved (BSR, ≥0.8) among all 203 A. baumannii isolates (Table 2). In contrast, 3,237 centroids were present in only a single genome, indicating that there is an average of ∼16 unique centroids per A. baumannii genome sequenced in this study. This value is similar to those of other comparable A. baumannii genomic studies (15). A previous genomic analysis by Sahl et al. on a limited number of genomes identified a single gene, annotated as a hypothetical protein (GenBank accession number ACJ58112), that was conserved in >99% of the A. baumannii isolates via PCR assay (11). Using LS-BSR in silico analysis, we were able to identify the presence of this predicted marker in 96% (195/203) of the A. baumannii isolates in this study and 2% (1/51) of the non-A. baumannii isolates. These results suggest that this genetic region is a molecular marker for the identification of A. baumannii isolates.

TABLE 2.

LS-BSR analysis grouping summary

Species No. (%) of:
Isolates Centroids Conserved centroidsa Unique centroidsb
A. baumannii only 203 13,586 1,507 (11) 3,237
A. baumannii and A. nosocomialis 220 16,676 1,695 (10) 3,497
A. baumannii/nosocomialis/calcoaceticus (Acb complex) 242 21,485 2,140 (10) 4,250
A. baumannii/nosocomialis/radioresistens 229 26,485 1,907 (7) 7,216
A. baumannii/calcoaceticus/radioresistens 237 32,560 2,346 (7) 8,209
A. baumannii/radioresistens 212 23,369 1,928 (8) 7,010
A. baumannii/nosocomialis/calcoaceticus/radioresistens 254 35,242 2,297 (7) 8,283
a

Defined as BSR value of ≥0.8 in all genomes.

b

Centroids present in only a single genome.

The LS-BSR analysis also allowed identification of centroids that were unique to each of the major phylogenomic groups of the inferred phylogeny in Fig. 1. LS-BSR was used to compare all A. baumannii and non-baumannii phylogroups as identified through the whole-genome phylogenetic analysis. Using the strict criteria of selected centroids identified being present in all isolates of one phylogenomic group but in none of the isolates from any other phylogenomic group, unique centroids were found for each major phylogroup except A. baumannii group 1 (see Table S2 in the supplemental material). While the majority of these predicted genes are currently annotated as hypothetical, they do provide potential molecular targets for identification of these closely related species. Interestingly, no centroids were found to be present exclusively in all A. baumannii isolates and lacking in other species isolates. Further analysis revealed two centroids that were unique to all isolates in A. baumannii phylogenetic group 2 compared to A. baumannii phylogenomic group 1, as well as all other non-baumannii isolates. These centroids, 993569 and 204780, were annotated as a hypothetical protein and an enzyme in the cupin superfamily. Conversely, there were no centroids found to be exclusive to all isolates of A. baumannii phylogenetic group 1 compared to group 2. This finding highlights the diversity of the genomes in this species.

Diversity based on date of isolation.

Isolation dates for the surveillance samples analyzed in this study ranged from 2006 to 2012 (see Table S1 in the supplemental material). In order to determine if there was emergence or selection of specific genes during this time period, a comparison was completed of samples before 2009 versus those obtained after 2009. The majority of the samples, 81% (164/203), were isolated after 2009, compared to 19% (39/203) obtained before 2009. There were 140 centroids found at higher frequency in the pre-2009 isolates (P ≤ 0.001) (see Table S3a in the supplemental material). A large proportion (∼40%) of these centroids were annotated as hypothetical with no assigned function. The remaining 60% of these centroids encode a wide diversity of proteins, as indicated by their assigned annotation (see Table S3a).

There were 68 centroids found to be present at greater frequency (P ≤ 0.001) in isolates collected after 2009 (see Table S3b in the supplemental material); 33 of these were found to be present exclusively in post-2009 isolates but were not present in all isolates of that group. These exclusive centroids encoded phage integrases, proteases, RHS repeat-associated proteins, an MreB/MBL family protein, membrane proteins, pyocin activator proteins, and numerous hypothetical proteins. In addition, there were 35 centroids that were found at greater frequency post-2009 but were not found exclusively in these genomes. These encoded many phage/plasmid-like proteins and hypotheticals, as well as a hydrolase and a phosphatase (see Table S3b).

It is interesting that a majority of centroids (54/68) found at greater frequency in the post-2009 isolates were found exclusively in A. baumannii phylogroup 1. This suggests that phylogroup 2 is more clonal and the genomes of these isolates are more stable and resistant to acquisition of new genetic elements. Conversely, members of A. baumannii phylogroup 1 are more diverse, with more dynamic genomic content that is vulnerable to loss and acquisition of new genetic elements.

LS-BSR analysis by location of isolation.

A comparison of the genomes of A. baumannii isolates from all sputum samples versus all perirectally obtained samples identified that there were no centroids found in all genomes from one isolation location and not in the other. In addition, there were no centroids that were exclusive to either group. However, using Fisher's exact test we were able to identify centroids that were found more frequently in the genomes from one isolation source relative to the frequency in the genomes of the comparison group. There were 42 centroids more common in the sputum isolates and 4 centroids more common in the perirectal isolate genomes (see Table S4a and b in the supplemental material). The sputum-specific genes include 15 genes with no functional annotation and a number of genes associated with flagellar assembly and motility, as well as multiple regulatory proteins, suggesting that motility and regulation of A. baumannii genes are critical in the survival or transmission in sputum (see Table S4a). Interestingly, it has been described that A. baumannii lacks motility via flagella (57); however, our annotation suggests that there are some genes annotated via our pipeline that have enough homology to be associated with flagellar assembly and motility genes; however, as previously described, no isolate contained a complete flagellar operon. Whereas the four genes that are specific to the perirectal isolates include lipases, an HPP family protein, and a regulatory protein, with currently unknown roles in survival or tropism for this environment, it is possible that these features facilitate colonization, but these isolates may not all be continuous colonizers of the gastrointestinal tract (i.e., they are passing through but are not established). These centroids provide some insight into the potential success of the isolates at each body site but also confirm previous studies that suggest that A. baumannii isolates are generalists in terms of site of isolation (see Table S4a and b). Overall, these molecular targets provide a limited gene set with which to start functional characterization of these phenotypes or isolates with a tropism for these body sites.

LS-BSR analysis by resistance status.

When the genomes of the carbapenem-resistant A. baumannii isolates were compared to those of the carbapenem-susceptible A. baumannii isolates using LS-BSR, eight centroids were identified to be unique and present only in the resistant isolates (see Table S5a and b in the supplemental material). Interestingly, none of these centroids matched with 100% identity to previously identified A. baumannii genes currently in GenBank by BLAST search, suggesting that these genes have been acquired relatively recently by A. baumannii. Two of the centroids matched with 99% nucleotide identity to a gene in an Acinetobacter capsule biosynthesis gene cluster, wzx (locus tag AN415_03886) (58). Conversely, there were 319 centroids that were found only in the genomes of carbapenem-susceptible A. baumannii isolates compared to carbapenem-resistant A. baumannii isolates (see Table S5b). These centroids include genes involved in type IV secretion systems and CRISPR systems (59), as well as several transcriptional regulatory genes. In addition, 141 (44%) hypothetical genes, one transcriptional regulator, and many phage-related genes are included in this list.

The difference in the number of genes that are preferentially in each of these groups is striking and suggests that the resistant isolates are lacking novel genes due to selective processes, or that the susceptible isolates represent a more diverse population which could be considered generalist, thus requiring a greater diversity of genes for increased survival in multiple environments. For example, the identification of the CRISPR genes in the susceptible isolates suggests the loss of these genes was an important step in acquiring genetic elements necessary for carbapenem resistance. CRISPR-cas systems provide bacteria a type of immunity against foreign genetic elements such as plasmids and bacteriophage; therefore, the loss of these genes may allow genetic elements to be acquired more readily (59).

LS-BSR analysis by resistance status and location of isolation.

When the additional criteria of location of isolation and resistance status are combined, there is a further focusing on genes that may play a role in virulence in the specific body location. Comparison of genomes from carbapenem-susceptible A. baumannii isolates from the perirectum compared to resistant A. baumannii isolates from the perirectum identified 135 centroids unique to the perirectal isolates that were susceptible (see Table S6a in the supplemental material). These centroids include genes for CRISPR-cas systems as well as phage-related genes. In contrast, only seven centroids were identified to be exclusively in the perirectal resistant A. baumannii isolates compared to susceptible A. baumannii isolates from the perirectum (see Table S6b). All seven of these centroids were also found to be unique to the resistant isolates irrespective of site of isolation. The only centroid identified as unique among resistant isolates which was not found to be unique to the perirectal resistant group was a centroid that encodes a type IV pilin structural subunit (centroid 365901).

Comparisons of the genomes from A. baumannii carbapenem-susceptible sputum isolates to A. baumannii carbapenem-resistant sputum isolates revealed 31 centroids unique to the susceptible isolates (see Table S6c in the supplemental material). Many of these coding sequences were annotated as hypothetical proteins; however, several centroids encoded Rhs element Vgr family domain proteins which have been shown to be involved in type VI secretion system (T6SS) functions (60). A T6SS has been previously characterized in some isolates of A. baumannii (61). In contrast, the comparison of genomes from carbapenem-resistant sputum isolates to carbapenem-susceptible sputum isolates revealed only a single centroid unique to sputum-resistant isolates, which encoded the carbapenemase OXA-23 gene (centroid 805287) (62).

Prevalence of the OXA genes in A. baumannii.

The OXA-51 gene is known to be encoded on the chromosome and believed to be present in most, if not all, A. baumannii isolates (24). In the current study, 200 of 203 isolates contain this version of the gene (see Table S14 in the supplemental material). Additionally, the oxacillinase gene, blaOXA-23, which is known to be largely restricted to the Acinetobacter genus, has been found worldwide in the chromosome or plasmids of A. baumannii isolates (16). The presence of this gene was investigated, and it was found to be present in only 61 of the 203 newly sequenced A. baumannii genomes (see Table S14 in the supplemental material). However, a greater proportion of isolates in A. baumannii phylogenomic group 2 contained this gene than A. baumannii phylogenomic group 1, 43% (50/115) versus 10% (9/88), respectively. Interestingly, 40% of the isolates that were phenotypically resistant to imipenem did not contain this gene or any other OXA-like gene, which is commonly identified in resistant isolates. Likewise, we identified isolates that were phenotypically susceptible to imipenem but contained the blaOXA-23 gene, suggesting that there are other factors involved in the phenotype of antibiotic sensitivity and resistance in A. baumannii. Other OXA genes were also examined for prevalence in this data set, but only a limited number, 6 or 7 isolates, encoded OXA-24/40-like or OXA-143-like genes, respectively. Further study will be required to characterize the integration of these OXA-like genes as well as other factors in the development of resistance.

Prevalence of previously identified virulence-associated genes in A. baumannii genomes.

Numerous genes have been identified as contributing to the virulence of A. baumannii. The presence of these genes was determined in the genomes of the newly sequenced A. baumannii isolates (Fig. 2). The list of virulence genes analyzed can be found in Table 3. These include genes for a two-component regulatory system, an usher-chaperone system, outer membrane proteins, genes involved in polysaccharide production, a protein tyrosine kinase, genes involved in iron transport and siderophore biosynthesis, and a phospholipase protein (57, 6369). These virulence-associated genes appear to be highly conserved in all of the A. baumannii genomes analyzed, with the exception of the genes of the CsuA/BABCDE chaperone-usher complex, which is important for the assembly and production of pili involved in surface adhesion. Overall, the previously identified A. baumannii virulence factors are highly conserved in this collection of sequenced surveillance isolates.

FIG 2.

FIG 2

Heat map of known virulence-associated factors in A. baumannii. The amino acid sequences for genes previously identified as being associated with virulent phenotypes were obtained from the National Center for Biotechnology database (Table 3). LS-BSR analysis to detect if these genes were present in the newly sequenced A. baumannii isolates was performed using TBLASTN. The BSR values were generated as described previously. The heat map generated was visualized with phylogeny using Tree of Life v3.0 software.

TABLE 3.

Virulence genes analyzed

Gene Protein ID Function Reference
bfmR AAX40744.1 Two-component system 58
bfmS AAX40745.1 Two-component system 58
csuA AAP43036.1 Usher-chaperone system 59
csuB AAP43037.1 Usher-chaperone system 59
csuC AAP43038.1 Usher-chaperone system 59
csuD WP_044557399.1 Usher-chaperone system 59
csuE AAP43040.1 Usher-chaperone system 59
ompA AHW42434.1 Outer membrane protein 60
pgaA ACV90433.1 PNAG synthesis 61
pgaB ACV90434.1 PNAG synthesis 61
pgaC ACV90435.1 PNAG synthesis 61
pgaD ACV90436.1 PNAG synthesis 61
ptk WP_001075368 Protein tyrosine kinase 62
entA WP_001257961.1 Siderophore biosynthesis 63
epsA WP_000872534.1 Polysaccharide export outer membrane protein 62
nfuA ABO11411.2 Iron transport protein 64
Phospholipase D ABO13297.2 Phospholipase 65

Conclusion.

The goal of this study was to characterize the genomic diversity of A. baumannii surveillance isolates from the University of Maryland Medical Center and compare it to known collections of sequenced A. baumannii. Two major phylogenomic groups within A. baumannii were identified, termed A. baumannii phylogroup 1 and A. baumannii phylogroup 2 (Fig. 1). Interestingly, both phylogenomic groups contained carbapenem-resistant isolates; however, A. baumannii phylogroup 2 contains a greater proportion of carbapenem-resistant isolates (80%; 92/115). The presence of the beta-lactamase gene blaOXA-23, which has been correlated with carbapenem resistance, did not always correlate with the observed resistance phenotype previously described (23). Whole-genome comparisons identified two centroids that were in all genomes of A. baumannii group 2 and were not present in any genomes from A. baumannii group 1, which will require additional functional studies.

Using the LS-BSR analysis, genomic regions were identified that are unique to specific phylogenetic groups, sites of isolation, or resistance phenotypes. The LS-BSR analysis identified 1,507 conserved centroids among the 203 A. baumannii isolates analyzed (Table 4). This value is within the range of previous estimates, which have put the number of core genes between 1,455 and 2,830 genes (9, 1315, 55, 7072). This information provides possible targets for future diagnostic tests to distinguish members of the Acb complex from each other and other Acinetobacter species. Although we did not find a single centroid that was present in all A. baumannii isolates compared to other Acinetobacter species groups, sequences were identified that were present in all isolates of other phylogenetic groups, such as hydrolases unique to A. calcoaceticus and several hypothetical proteins in A. nosocomialis. These sequences, in addition to the conserved sequence previously identified (11) as being present in the majority of A. baumannii isolates in a prior study, may provide a useful combination of tests to positively distinguish A. baumannii from other species of the Acb complex using multiplex PCR. In addition to the diagnostics aspects of these types of data sets, we have also narrowed the number of targets to be functionally examined that may play a role in the development of antimicrobial resistance or tropism to the lung. These functional studies are beyond the scope of the current study, but it provides a framework for future functional studies.

TABLE 4.

Summary of results from Fisher's exact analysis of LS-BSR

Group No. of centroids
Present in higher frequencya Exclusive to groupb
Resistant 1,246 8
Sensitive 1,038 319
Perirectal 4 0
Sputum 42 0
Perirectal resistantc 904 7
Sputum resistantd 327 1
Perirectal sensitive 556 135
Sputum sensitive 315 31
a

Based on a P value of ≤0.001.

b

Number of centroids found exclusively in the group but not necessarily in every isolate of that group.

c

Perirectal resistant genomes were compared to perirectal sensitive genomes.

d

Sputum resistant genomes were compared to sputum sensitive genomes.

Overall, this study demonstrates that the A. baumannii genome is more diverse than previously anticipated and is lacking an extensive common core that is associated with resistance to carbapenem antibiotics, suggesting that there are other unidentified factors responsible for this phenotype.

Supplementary Material

Supplemental material

ACKNOWLEDGMENTS

This project was supported in part by federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract number HHSN272200900009C, NIH grant numbers K24AI079040 and R01HS02229103, and startup funds from the state of Maryland. L.W. was supported by the Defense Threat Reduction Agency and the Department of Defense SMART Scholarship Program.

Footnotes

Supplemental material for this article may be found at http://dx.doi.org/10.1128/AAC.00477-16.

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