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Complete Genome Sequence of the Multiresistant Taxonomic Outlier Pseudomonas aeruginosa PA7

  • Paul H. Roy,

    Affiliation Département de biochimie et de microbiologie, and Centre de recherche en infectiologie, Université Laval, Québec, Québec, Canada

  • Sasha G. Tetu,

    Affiliation Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, New South Wales, Australia

  • André Larouche,

    Affiliation Département de biochimie et de microbiologie, and Centre de recherche en infectiologie, Université Laval, Québec, Québec, Canada

  • Liam Elbourne,

    Affiliation Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, New South Wales, Australia

  • Simon Tremblay,

    Affiliation Département de biochimie et de microbiologie, and Centre de recherche en infectiologie, Université Laval, Québec, Québec, Canada

  • Qinghu Ren,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Robert Dodson,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Derek Harkins,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Ryan Shay,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Kisha Watkins,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Yasmin Mahamoud,

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Ian T. Paulsen

    ipaulsen@science.mq.edu.au

    Affiliations Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, New South Wales, Australia, J. Craig Venter Institute, Rockville, Maryland, United States of America

Abstract

Pseudomonas aeruginosa PA7 is a non-respiratory human isolate from Argentina that is multiresistant to antibiotics. We first sequenced gyrA, gyrB, parC, parE, ampC, ampR, and several housekeeping genes and found that PA7 is a taxonomic outlier. We report here the complete sequence of the 6,588,339 bp genome, which has only about 95% overall identity to other strains. PA7 has multiple novel genomic islands and a total of 51 occupied regions of genomic plasticity. These islands include antibiotic resistance genes, parts of transposons, prophages, and a pKLC102-related island. Several PA7 genes not present in PAO1 or PA14 are putative orthologues of other Pseudomonas spp. and Ralstonia spp. genes. PA7 appears to be closely related to the known taxonomic outlier DSM1128 (ATCC9027). PA7 lacks several virulence factors, notably the entire TTSS region corresponding to PA1690-PA1725 of PAO1. It has neither exoS nor exoU and lacks toxA, exoT, and exoY. PA7 is serotype O12 and pyoverdin type II. Preliminary proteomic studies indicate numerous differences with PAO1, some of which are probably a consequence of a frameshift mutation in the mvfR quorum sensing regulatory gene.

Introduction

Pseudomonas aeruginosa is an environmental bacterium that is an opportunistic pathogen of humans. It causes wound and burn infections as well as respiratory infections, the latter especially in cystic fibrosis (CF) patients. P. aeruginosa is known for its antibiotic resistance, notably its efflux systems but also antibiotic modifying enzymes, and for its multiple virulence factors, enabling formation of biofilms and infection of multiple host species. The first completely sequenced strain of P. aeruginosa was the laboratory strain PAO1 [1]. Its sequence revealed a genetic complexity, including a large number of secretion and efflux systems, that is consistent with its ability to thrive in a wide variety of environments. The sequence of the more virulent strain PA14 [2] revealed that additional genes in the latter, related to survival in diverse environmental conditions, clustered into genomic islands, while the “core genome” (about 90% of total genes) was highly similar to that of PAO1. It was shown that the increased virulence of PA14 was both multifactorial and combinatorial, and that virulence for eukaryotic hosts has its determinants in the core genome. These observations were extended with the addition of the genomes of two CF isolates, PA2192 and C3719 [3], showing a conserved core genome and sets of genomic islands, the latter coding for auxiliary genes (metabolic, virulence, and resistance genes, and prophages) for survival in particular host environments. The sequence of the Liverpool Epidemic Strain LESB58 [4] showed that both the core genome and genomic islands (including prophages) are involved in in vivo competitiveness.

P. aeruginosa PA7 is a non-respiratory clinical isolate from Argentina. It is one of 10 non-respiratory isolates that were collected for their unusual resistance patterns by Microcide Pharmaceuticals Inc. (Mountain View, CA). Preliminary sequence data from some resistance and housekeeping genes showed that PA7 is a taxonomic outlier. The complete genomic sequence of PA7 was determined. As with the other sequenced strains, there is a core genome, whose genes show considerable divergence with those of the other sequenced strains. There are a total of 51 occupied genomic islands, including 18 novel ones. While many antibiotic resistance genes are present, several virulence factor genes are lacking, notably for the type III secretion system that enables the injection of toxins into host cells.

Results

Extended Resistance Spectrum of P. aeruginosa PA7

PA7 is highly resistant to third generation cephalosporins (Minimal Inhibitory Concentration [MIC] for ceftazidime of 128 µg/ml), monobactams (MIC for aztreonam of 64 µg/ml), and fluoroquinolones (FQ) (MIC for ciprofloxacin of 128 µg/ml) (Table 1). The strain is also resistant to piperacillin, carbenicillin, levofloxacin and chloramphenicol, but sensitive to carbapenems (MIC for imipenem of 2 µg/ml and for meropenem of 1 µg/ml). We sequenced the gyrA, gyrB, parC, and parE genes in order to determine the source of FQ resistance. We found two mutations typical of FQ resistance, but many more that may or may not be involved in resistance. Other resistance (ampC, ampR, mexR and oprD) and housekeeping (atpD, aspS) genes showed notable divergence with their homologs in PAO1 and PA14. This showed that PA7 is a taxonomic outlier. However, sequences from rRNA genes and the highly conserved tufB gene indicated that PA7 is within the species P. aeruginosa. To investigate further, we determined the complete genome sequence of PA7 by whole genome shotgun sequencing.

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Table 1. Minimal inhibitory concentrations (MIC) of some antibiotics for PA7.

https://doi.org/10.1371/journal.pone.0008842.t001

Features of the P. aeruginosa PA7 Genome

The 6,588,339 base pair genome of P. aeruginosa PA7 (Figure 1) was predicted to contain 6286 open reading frames (ORFs) representing 90% of total genomic DNA (Figure 2). The average G+C content of the genome was 66.5%, similar to previously sequenced P. aeruginosa strains PAO1 [1], PA14 [2] and LESB58 [4] (Table 2). Comparison of PA7 with the other available P. aeruginosa genomes [5] in regard to functional category breakdown of coding sequences (CDSs) shows a similar distribution in most groupings with the exception of DNA replication, recombination and repair, which make up a higher proportion of CDSs in this genome (Table 2). This is predominantly due to the large number of additional transposase and integrase genes present in the genomic island regions of PA7. The pairwise percentage identity of syntenous regions between PA7 on the one hand and PAO1, PA14, and LESB58 on the other hand was 93.5%; while that between the latter three strains was 98.7–99.4% (Figure S1, Figure S2 A–G). This is consistent with the sequencing of selected genes that suggested that PA7 is a taxonomic outlier compared with other sequenced P. aeruginosa strains.

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Figure 1. The chromosome of P. aeruginosa PA7.

The outermost two circles indicate positions of CDSs in plus (circle 1) and minus (circle 2) strands colored by functional category: translation, ribosomal structure, and biogenesis (maroon); transcription (navy); DNA replication, recombination and repair (purple); cell division and chromosome partitioning (brown); posttranslational modification, protein turnover, chaperones (aqua); cell envelope biogenesis, outer membrane (teal); cell motility and secretion (blue); inorganic ion transport and metabolism (orange); signal transduction mechanisms (lavender); energy production and conversion (olive); carbohydrate transport and metabolism (light green); amino acid transport and metabolism (dark green); nucleotide transport and metabolism (fuchsia); coenzyme metabolism (pink); lipid metabolism (red); secondary-metabolite biosynthesis, transport, and catabolism (yellow); general function prediction only (dark grey); function unknown (light grey); and no COG (black). Genomic islands or ‘regions of genomic plasticity’ are indicated by green bars in the third circle; these are in the same order as listed in Table 3 (starting from the 0 kbp mark). Moving toward the center, the following three circles map pairwise blastn alignments (expected threshold = 1e−20) between PA7 and previously sequenced P. aeruginosa genomes (circle 4 PAO1 (teal); circle 5 PA14 (aqua); circle 6 LESB58 (orange)). Circle seven shows G+C content (deviation from average), and the eighth circle illustrates G+C skew in green (+) and purple (−). The scale (in kbp) is indicated on the innermost circle. CGview software [43] was used to construct the genome map.

https://doi.org/10.1371/journal.pone.0008842.g001

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Figure 2. Genomic comparisons of P. aeruginosa strains.

Venn diagram showing the number of P. aeruginosa PA7 predicted proteins with significant similarity (expected threshold = 1e−5) with the predicted products of other P. aeruginosa strains PAO1, PA14 and LESB58. The numbers in parentheses represent the total number of predicted proteins for each genome.

https://doi.org/10.1371/journal.pone.0008842.g002

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Table 2. General genome features for P. aeruginosa strains.

https://doi.org/10.1371/journal.pone.0008842.t002

Genomic Homology to Other P. aeruginosa

Sequencing of some housekeeping genes of strains in our collection shows that PA7 forms a clade with a small number of strains. Interestingly, these include the strain DSM1128 (ATCC9027) that was excluded from a multilocus sequence typing analysis [6] because of its “unusually high sequence variability in all analyzed loci”, and the strain Pa5196, that has an unusual glycosylation of its type IV pilin, mediated by TpfW and shared by PA7 [7], [8]. PA7's O antigen locus shares a strong similarity to the serotype O12 locus (AF498403) [9], 99.4% over 24 kb. However, its relationship to the European epidemic O12 strains [10] remains unknown.

Genomic Islands

In addition to the numerous genomic islands in the sequenced P. aeruginosa genomes compiled by Mathee et al. (Fig. 2 in [3]), PA7 has 18 novel islands (named RGP63-RGP80) in its genome (Table 3). Four of the genomic islands are putative prophages. RGP66 (30 kb) is similar to the incompletely sequenced phage pspph06 and has parts with similarity to the genomic sequence of P. syringae pv. phaseolicola (CP000058) [11]. RGP78 also shows regions of similarity to P. syringae. RGP56 shows similarities to sequences from strains PACS458 and PACS10223. RGP60 shows only small regions of similarity to sequences from P. syringae and B. pseudomallei.

A pKLC102-like island is present in PA7 but is in a different locus (RGP7 rather than RGP41 as in PA14). Its contents are very similar to PAPI-1 except for the presence of five short insertions and the absence of three PAPI-1 specific insertions [12]. PA7 contains six other large islands. RGP63 (75 kb) notably contains genes encoding mercury resistance and a type I restriction-modification system. It shares a 9.8 kb region of identity (4 bp difference) with the PAGI-5 island [13]. RGP56 (59 kb), is partially composed of phage genes as noted above; the rest notably contains a DNA adenine methylase and a DNA cytosine methylase. RGP42 (59 kb), is a “transposon dump” containing elements of Tn21, Tn1721, and Tn5393, as well as 10 genes similar to those of phage Pf1. Notably, there is a truncated integron, with an integrase but no attI site, where the sul1 sulfonamide resistance gene is expressed as a fusion with orf11 [14], as in Tn610 from Mycobacterium fortuitum [15]. RGP23 (33 kb) encodes cupD fimbrial genes (see Virulence Factors below). A 12.7 kb region is >99% identical to transposon Tn4661 (AB375440). RGP75 (53 kb) contains a putative integrated plasmid with several genes encoding conjugative transfer proteins, as well as several resistance genes. These include the three aminoglycoside resistance genes comprising the center of Tn5, an isolated integron cassette with the aacA4 aminoglycoside resistance gene inserted into a secondary site [16], and a chloramphenicol export protein. RGP79 notably encodes a type I restriction-modification system; most of the other genes are of unknown origin.

Other notable genomic islands include: RGP69 (15 kb) encoding a type II secretion pathway; RGP31 (25 kb), the serotype O12 O-antigen locus; RGP70 (20 kb) encoding a multidrug efflux system and non-ribosomal protein synthesis genes, and large segments of which are similar to genomic sequences from Burkholderia cenocepacia (CP000959 and CP000459); RGP74, encoding iron transport genes and having 76% overall identity to a region from Azotobacter vinelandii DJ [17]; RGP76 (10 kb), 90% identical to a sequence from PACS458 (EU595737); RGP13, encoding heavy metal efflux proteins and similar to sequences from several strains of Pseudomonas putida; and RGP8 (14 kb) with ectoine transport genes similar to those of Pseudomonas stutzeri and ectoine utilisation genes similar to those of several Burkholderia spp.

Antibiotic Resistance

PA7 is phenotypically resistant to penicillins, cephalosporins, and the monobactam aztreonam, but not to carbapenems (Table 1). It is also resistant to fluoroquinolones, amikacin, and chloramphenicol. Resistance to Beta-lactams is probably due to the ampC (class C) and poxB (class D) Beta-lactamases encoded by PSPA7_0984 and PSPA7_6316, respectively. The ampC activator ampR (PSPA7_0985) and negative regulators ampD (PSPA7_5139) as well as putative regulators ampDh3 (PSPA7_4711) and ampDh2 (PSPA7_6284) are also present, as in PAO1 and PA14. Recently Dötsch et al. [18] screened a transposon mutant library of PA14 for mutants with increased resistance or susceptibility. They showed that mutants in PA14_37550 (PA2085) have 16-fold increased resistance to piperacillin and piperacillin-tazobactam. PA2085 is ubiquitous in sequenced strains except for PA7, where it is missing.

Fluoroquinolone (FQ) resistance is attributable to two point mutations, one in gyrA (Thr83Ile) and one in parC (Ser87Leu), known to be associated with FQ resistance [19]. There were several other differences with the corresponding PAO1 genes, and these differences are shared between PA7 and the PA7-related but fluoroquinolone-sensitive strain DSM1128. However, DSM1128 lacks the two FQ-related mutations.

The source of amikacin resistance is probably one of the efflux systems (see below). Although there is an aacA4 gene (not present in PAO1 nor PA14) in an integron cassette inserted into a secondary site [16], the product is an AAC(6′)-II due to the substitution of a serine for a leucine at position 117 in PSPA7_3724.1 [20]. Several other aminoglycoside resistance determinants are present. Among these are the three PA7-specific genes in island RGP75 that constitute the center of Tn5 and encode streptomycin, bleomycin and kanamycin resistance (PSPA7_3719-3720-3721). However, these three genes are not flanked by copies of IS50, which does not occur in the genome. Either these genes were mobilized (from PA7 or elsewhere) by tandem insertions of IS50 to form Tn5 or were left behind by precise excision of the IS50s. A second aph (3′)-II kanamycin resistance gene (PSPA7_0973) is present, as are two more streptomycin phosphotransferase genes, one a PA7-specific aph (6)-Id (PSPA7_5338) and the other an str gene (PSPA7_3432). PSPA7_2339 is an arr gene encoding an aminoglycoside response regulator. The arr gene is present in PAO1 but absent in PA14 and LESB58.

Chloramphenicol resistance is primarily due to the Mex efflux systems as in PAO1. The catB7 gene PSPA7_4802 coding for a xenobiotic acetyltransferase of the hexapeptide-repeat superfamily similar to that found in other P. aeruginosa strains, a catA gene PSPA7_4187, and the major facilitator superfamily (MFS) exporter cmx gene PSPA7_3737.1 (the latter two PA7-specific) may also contribute to resistance. The arnBCAD operon (PSPA7_1593-1592-1591-1590) for resistance to polymyxin B and cationic antimicrobial peptides is present, as in PAO1 and PA14.

The major efflux pump MexABOprM and the secondary pump MexCDOprJ are intact in PA7, as are MexEFOprN and its regulator MexT, MexHIOpmD, MexMN, and MexVW. A “hybrid” system, MexXYOprA (PSPA7_3269-3270-3271) is present; the PA7-specific oprA gene is linked to mexXY rather than to amrAB as in Burkholderia pseudomallei [21]. Regulatory genes mexR (PSPA7_2746) and mexZ (PSPA7_3268) [22] are intact. An oprD gene is intact and presumably functional; PA7 is imipenem sensitive whereas oprD mutants are imipenem resistant [23]. Triclosan resistance is mediated by the general RND efflux systems, and the specific triclosan efflux system TriABC-OpmH [24] mediated by PSPA7_0234-0235-0236-5705 is also present. An MFS system, EmrAB-OpmG, is encoded by PSPA7_5897-5898-5896. A second putative system is coded by PSPA7_2115-2114-2113. Finally, PSPA7_5725 encodes an SMR multidrug efflux transporter.

Virulence Factors

Perhaps the most striking feature of the whole PA7 genome is the lack of the entire 36-gene cluster corresponding to PA1690-PA1725 and encoding the type III secretion system. The exoS, exoT, and exoY genes encoding the “TTSS translocated effectors” are also deleted from the PA7 genome. In some strains, e.g. PA14, exoU substitutes for exoS [25], [26], but PA7 has neither; this is unusual among P. aeruginosa strains. A probable type II secretion system (PA2672-2677) is absent in PA7, while a novel one (PSPA7_1407-1420) is present in island RGP69. Also surprising is the deletion of the major exotoxin gene toxA. Additionally, genes encoding pyocins S2 and S5 are absent, and PA7 lacks the plcD gene encoding phospholipase D and the rhlC gene for rhamnolipid biosynthesis. However, rhlA (PSPA7_1647) and rhlB (PSPA7_1648) genes are present.

PA7 is similar to PAO1 and PA14 for most other factors identified in the Virulence Factor Database [27]. The 24 genes for synthesis and regulation of alginate are present, as is the 21-gene cluster (PSPA7_0142-0163; there is no 0153) for the Hcp secretion island-1 encoded type VI secretion system (H-T6SS). Genes for type IV pili and type IV twitching motility are similar to those of PAO1 and PA14.

The phenazine biosynthesis and modification genes are present except for phzH, which encodes a modifying enzyme that converts phenazine-1-carboxylic acid to phenazine-1-carboxamide. In one of the two copies of the phzA-G locus, phzA1 and phzB1 are fused (PSPA7_0888). The pyochelin genes are similar to those of the other sequenced strains, however, there are differences in the pyoverdin locus; PA7 lacks 4 genes relative to PAO1 but has in their place 3 genes (PSPA7_2826, 2859 and 2860) which are very similar to genes of C3719 and PACS-2. The putative fpvA pyoverdin receptor gene PSPA7_2861 is very similar to genes from strains 1-60 and 2-164; PA7 has no fpvB gene. Taken together, these results indicate that PA7 produces type II pyoverdin and has a type IIb fpvA gene [28], [29].

Virulence factors encoded by 1–3 genes have a one-to-one correspondence with PAO1 and PA14: alkaline protease (PSPA7_4143), elastase (PSPA7_1397 and PSPA7_3417), the GacS/GacA two-component system (PSPA7_4587 and PSPA7_2613), hemolytic phospholipase C plcH (PSPA7_4676), hydrogen cyanide production (PSPA7_3101-3103), non-hemolytic phospholipase C plcN (PSPA7_1801), phospholipase C plcB (PSPA7_0027), and protease IV (PSPA7_0919).

There are no cupA fimbrial genes in PA7; however, there are cupB and cupC genes as well as cupD genes. The latter are in genomic island RGP23, whereas those of PA14 are in its version of the PAPI-1 island [30]. As mentioned above, PA7 has an unusual glycosylation of its type IV pilin, mediated by TpfW [7], [8].

A study of signature-tagged mutagenesis mutants of LESB58 was performed by Winstanley et al. [4]. Of the 39 genes common to LESB58 and PAO1 identified as essential for lung infection, all are present except PA1721 (part of the TTSS cluster) and PA0325 (putative permease of ABC transporter).

Quorum Sensing

The major genes of the quorum sensing system, vqsM (PSPA7_0474.1) [31] and vqsR (PSPA7_2608) [32] are present, as are the genes lasR (PSPA7_3898), lasI (PSPA7_3897), rhlR (PSPA7_1649), and rhlI (PSPA7_1650). One of the genes identified as a pseudogene because of an internal frameshift, PSPA7_4396, was mvfR, an important regulator of quorum sensing [33]. Éric Déziel (personal communication) confirmed the mvfR phenotype of PA7, and complemented the mutation by adding a plasmid containing the wild-type mvfR gene from PAO1. We believe that the lack of MvfR may be responsible for several of the differences seen in the preliminary proteomics experiment below.

Proteomics

Preliminary proteomics experiments were carried out using 2-D gels on PA7 and PAO1 (Figure 3). Among the interesting results are a 9-fold overexpression of the MucD serine protease and a 7.4-fold overexpression of anthranilate synthase in PA7 relative to PAO1. The latter is due to the genes in the tryptophan biosynthetic pathway (PSPA7_0753 and PSPA7_0790 for components I and II, respectively), not those in the Pseudomonas quinolone signal (PQS) pathway (PSPA7_4397 and PSPA7_4395). This may be related to the lack of the regulator MvfR noted above. Other significant differences include a 4.7-fold down-regulation of the chemotaxis protein CheZ and a 3.1-fold down-regulation of the outer membrane protein OmpA.

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Figure 3. Proteomic comparison of PA7 and PAO1, Condition-level matching using Progenesis PG240 software.

Green, PAO1-specific; pink, PA7-specific, black, PAO1-PA7 match.

https://doi.org/10.1371/journal.pone.0008842.g003

Discussion

The complete genomic sequence of P. aeruginosa PA7 reveals that it is indeed a taxonomic outlier, and limited sequence data from housekeeping genes indicate that a certain number of other strains form a clade with PA7. It was noted by Mathee et al. [3] that of 7 genes used for multilocus sequence typing (acsB, aroE, guaA, mutL, nuoD, ppsA, and trpE) only guaA, although 99% identical between PAO1 and PA14, had 11 differences, enough to be phylogenetically useful. PA7 has only 86%–94% nucleotide identity with five of these genes; only guaA and nuoD being highly (97%–99%) conserved (Figure S2 A–G). Although PA7 is almost at the limit of a species, its rRNA genes and other genes of the protein synthesis machinery place it clearly within the species P. aeruginosa. It is possible that restriction-modification systems encoded by the genomic islands contribute to the genetic isolation of the strain.

PA7 has 18 unique genomic islands (also called “regions of genomic plasticity” or RGPs), as compared to 1–5 for the other sequenced strains. Of the 52 previously described RGP's [3], PA7 has genes in 33 of the loci, while 19 are empty in PA7. Among the occupied loci are RGP26 and RGP38 (previously unique to PA14), RGP8 (previously unique to C3719) and RGP12 (previously unique to PA2192). The contents of some islands are translocated in PA7, notably the pKLC102-like island in RGP7.

PA7 is highly resistant to most antibiotics, with the notable exception of carbapenems. However, resistance to carbapenems is increasingly frequent in P. aeruginosa, and is usually mediated by a plasmid-encoded VIM-type Beta-lactamase. An example is a VIM-8 producing serotype O12 isolate from South America [34]. Most resistance genes, notably those encoding the RND efflux systems, the AmpC and PoxB Beta-lactamases, and fluoroquinolone resistance due to point mutations in topoisomerase genes, are encoded by the core genome. Some resistance genes are on genomic islands, such as the aminoglycoside resistance genes on the putative integrated plasmid in RGP75, mercury resistance in a putative transposon in RGP63, an efflux system in RGP70, and streptomycin and sulfonamide resistance in RGP42.

PA7 is remarkably deficient in some key virulence factors, notably the whole TTSS locus, as well as its translocated effectors. ToxA exotoxin and pyocins S2 and S5 are also absent. However, several other virulence factor genes are intact. Quorum sensing is disrupted by a frameshift mutation in the mvfR gene. However, even some CF strains are deficient in quorum sensing (by lasR rather than mvfR mutations), and PA7 does come from a human infection, although not a respiratory infection. Future proteomics experiments on PA7 can include an mvfR-complementing plasmid, to distinguish the effects of QS deficiency from other regulatory differences between PA7 and PAO1 and/or PA14.

PA7 is a member of serotype O12, and the O-antigen locus is very similar to the sequenced O12 locus [9]. An epidemic of P. aeruginosa serotype O12, possibly of South Asian origin, occurred in Europe [35]. One study indicated a connection between overexpression of the AmpC Beta-lactamase with reduced expression of cell-to-cell signaling dependent virulence factors [36]. Speculatively, this may be related to PA7 and its QS deficiency.

It would be interesting to determine a second genomic sequence of a member of the PA7 clade. We have obtained a CF strain that is a member of this clade, and comparison of its core genome, and especially of its genomic islands, would be useful in determining the genomic basis for differences in virulence.

Methods

Minimum Inhibitory Concentration (MIC) Determination

The minimal inhibitory concentration (MIC) determination method was used to test the susceptibility of P. aeruginosa PA7 to a range of antibiotics. A serial twofold dilution series was generated for each antibiotic using appropriate starting concentrations in 3 ml of Müller–Hinton broth (Difco). The MIC corresponded to the smallest antibiotic concentration preventing the growth of P. aeruginosa PA7.

Genome Sequencing and Annotation

The complete genome sequence of P. aeruginosa strain PA7 was determined using the whole-genome shotgun method as previously described [37]. Physical and sequencing gaps were closed using a combination of primer walking, generation and sequencing of transposon-tagged libraries of large-insert clones, and multiplex PCR [38]. Identification of putative protein-encoding genes and annotation of the genome were performed as previously described [39]. An initial set of genes predicted to encode proteins was identified with GLIMMER [40]. Genes consisting of fewer than 30 codons and those containing overlaps were eliminated. Frame shifts and point mutations were corrected or designated ‘authentic’ based on manual examination of the sequence trace files. Functional assignment, identification of membrane-spanning domains, and determination of paralogous gene families were performed as previously described [37][39].

Trinucleotide Composition

Distribution of all 64 trinucleotides (3-mers) was determined, and the 3-mer distribution in 1,000-bp windows that overlapped by half their length (500 bp) across the genome was computed [39]. For each window, we computed the χ2 statistic on the difference between its 3-mer content and that of the whole chromosome. A large value for χ2 indicates the 3-mer composition in this window is different from the rest of the chromosome (minimum of two standard deviations). The assumptions inherent in this analysis are that the DNA composition is relatively uniform throughout the genome, and that 3-mer composition is independent.

Comparative Genomics

The P. aeruginosa PA7 genome was compared to other P. aeruginosa genomes at the nucleotide level by suffix tree analysis using MUMmer [41], and the predicted PA7 CDSs were compared with the gene sets from the other sequenced P. aeruginosa genomes by BLAST using an E value cutoff of 1×10−5 and by HMM paralogous family searches using appropriate cutoffs established for each specific HMM. Available P. aeruginosa genomes were also compared via alignment using MAUVE [42] to determine the pairwise percentage identity of syntenous regions between PA7 and PAO1, PA14, and LESB58.

Proteomics

Overnight cultures of strains PA7 and PAO1 were diluted in LB (1%) and harvested at similar culture densities (semi-log phase, OD600 ∼0.5). Cells were washed two times with PBS, and pellets were resuspended in 700 µL of 2D lysis buffer (20 mM Tris-HCl, pH 7.5, 7 M urea, 2 M thiourea, 3% CHAPS, 20 mM DTT, 5 mM Tris-(2-carboxyethyl)phosphine (TCEP), 0.5% IPG buffer pH 4–7 (GE Healthcare), and 0.25% IPG buffer pH 3–10 (GE Healthcare)) and incubated at RT for 2 h (vortexed every 15 min). Samples were centrifuged at 13,000×g for 5 min to remove insoluble materials, and proteins were precipitated with the 2D Clean-up kit (GE Healthcare) to remove substances interfering with IEF. Proteins were quantitated using the 2D Quant Kit (GE Healthcare). Two dimensional gel electrophoresis was carried out. In the first dimension, 150 µg of protein samples were run on 24 cm Immobiline DryStrips (GE Healthcare) of pH range 4.0–7.0 on an IPGphorII IEF system (GE Healthcare) as recommended by the manufacturer. Strips were equilibrated in equilibration buffer (50 mM Tris-HCl, pH 8.8, 6 M urea, 30% glycerol, 2% SDS, and a trace of bromophenol blue) containing 10 mg/mL DTT for 15 min and then in equilibration buffer containing 25 mg/mL iodoacetamide for 15 min, and sealed to 12% acrylamide gels made in-house using 0.5% agarose in standard Tris-glycine electrophoresis buffer. Second dimension was performed using the Ettan™ DALTtwelve system (GE Healthcare) at 17 W/gel and 25°C until the tracking dye was run off the gel. Proteins were visualized by Sypro Ruby fluorescence (Invitrogen). Gels were fixed overnight in 40% methanol and 7% acetic acid, stained for a minimum of 5 h, and then destained in 10% methanol and 7% acetic acid for 3×1 h. Gels were imaged with the ProXpress CCD camera-based scanner (Perkin-Elmer) at 100 µm resolution using 480 nm excitation and 620 nm emission filters. For each strain, 2D gels of 4 independent samples were analyzed using Progenesis PG240 v. 2006 (Nonlinear Dynamics). Spots were quantified with this software using the INCA processing algorithm and automatically matched using default setting. Matches were confirmed, and matching normalized spot volumes were compared by t test within the software to generate p-values. Gel plugs containing the proteins of interest were excised using a ProXcision robot (Perkin-Elmer) and subjected to LC-MS/MS analyses (Eastern Quebec Proteomics Centre, Centre Hospitalier de l'Université Laval, Quebec). Gel plugs were placed in 96-well plates and then washed with water. Tryptic digestions were performed on a MassPrep liquid handling robot (Micromass) according to the manufacturer's specifications and using sequencing grade modified trypsin (Promega). After extraction from the gel into 50% acetonitrile/0.1% formic acid, peptides were lyophilized in a speed vacuum and resuspended in 10 µL of 0.1% formic acid solution. Peptide MS/MS spectra were obtained by capillary liquid chromatography (10 cm, 75 µm picofrit column) coupled with an LTQ (ThermoFinnigan, San Jose, CA) quadrupole ion trap mass spectrometer with a nanospray interface. Resulting MS/MS spectra were interpreted using MASCOT (Matrix Science, London, UK; version 2.2.0) and searched against eubacterial proteins in the UniFef100 database. Carbamidomethylation of cysteine and partial oxidation of methionine, 2 missed cleavages, and an error tolerance of 2.0 Da for peptides and 0.5 Da for fragments were considered in the search. Scaffold (Proteome Software Inc., Portland, OR, USA; version 2.01.01) was used to validate MS/MS-based peptide protein identification.

GenBank Accession

The complete annotated genome sequence is available at GenBank accession number CP000744.

Supporting Information

Figure S1.

Mauve alignment of the four Pseudomonas aeruginosa genomes PA7, PAO1, PA14 and LESB58. The height of the column alignment entropy bars show the degree of variation between conserved genes in these strains.

https://doi.org/10.1371/journal.pone.0008842.s001

(0.10 MB TIF)

Figure S2.

Phylogenetic trees based on the MLST schema genes for (A) AcsA, (B) AroE, (C) GuaA, (D) MutL, (E) NuoD, (F) PpsA and (G) TrpE respectively. These Neighbor-Joining gene trees were generated from protein sequences aligned with ClustalX outgrouped with homologs from Vibrio cholerae N16961 except for NuoD, which uses the Shewanella oneidensis MR-1 homolog as there isn't one in V. cholerae N16961. The outer nodes are labeled with Uniprot codes. The cluster representing the Pseudomonas aeruginosa species is shown with a vertical bar, P. aeruginosa PA7 is underlined. PSEA7 is PA7, PSEAB is PA14, PSEA8 is LESB58, PSEAE is either PAO1, PA2192, or C3719 (very similar P. aeruginosa members). These genes are used for the MLST schema, and are thus housekeeping genes evenly distributed around the genome, and on that basis reflect the evolutionary history of the genomes. Numbers at the inner nodes are bootstrap values generated from 1000 iterations of the bootstrap procedure.

https://doi.org/10.1371/journal.pone.0008842.s002

(0.09 MB PDF)

Acknowledgments

The authors acknowledge Dr. Éric Déziel for determination of the mvfR phenotype of PA7, and Drs. Fiona Brinkman and Keith Poole for helpful discussions.

Author Contributions

Conceived and designed the experiments: PR ITP. Performed the experiments: PR SGT AL ST RS KLW YM. Analyzed the data: PR SGT AL LDHE ST QR RJD DMH ITP. Wrote the paper: PR SGT ITP.

References

  1. 1. Stover CK, Pham XQ, Erwin AL, Mizoguchi SD, Warrener P, et al. (2000) Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen. Nature 406: 959–964.
  2. 2. Lee DG, Urbach JM, Wu G, Liberati NT, Feinbaum RL, et al. (2006) Genomic analysis reveals that Pseudomonas aeruginosa virulence is combinatorial. Genome Biol 7: R90.
  3. 3. Mathee K, Narasimhan G, Valdes C, Qiu X, Matewish JM, et al. (2008) Dynamics of Pseudomonas aeruginosa genome evolution. Proc Natl Acad Sci U S A 105: 3100–3105.
  4. 4. Winstanley C, Langille MG, Fothergill JL, Kukavica-Ibrulj I, Paradis-Bleau C, et al. (2009) Newly introduced genomic prophage islands are critical determinants of in vivo competitiveness in the Liverpool Epidemic Strain of Pseudomonas aeruginosa. Genome Res 19: 12–23.
  5. 5. Winsor GL, Van Rossum T, Lo R, Khaira B, Whiteside MD, et al. (2009) Pseudomonas Genome Database: facilitating user-friendly, comprehensive comparisons of microbial genomes. Nucleic Acids Res 37: D483–488.
  6. 6. Kiewitz C, Tummler B (2000) Sequence diversity of Pseudomonas aeruginosa: impact on population structure and genome evolution. J Bacteriol 182: 3125–3135.
  7. 7. Voisin S, Kus JV, Houliston S, St-Michael F, Watson D, et al. (2007) Glycosylation of Pseudomonas aeruginosa strain Pa5196 type IV pilins with mycobacterium-like alpha-1,5-linked d-Araf oligosaccharides. J Bacteriol 189: 151–159.
  8. 8. Kus JV, Kelly J, Tessier L, Harvey H, Cvitkovitch DG, et al. (2008) Modification of Pseudomonas aeruginosa Pa5196 type IV Pilins at multiple sites with D-Araf by a novel GT-C family Arabinosyltransferase, TfpW. J Bacteriol 190: 7464–7478.
  9. 9. Raymond CK, Sims EH, Kas A, Spencer DH, Kutyavin TV, et al. (2002) Genetic variation at the O-antigen biosynthetic locus in Pseudomonas aeruginosa. J Bacteriol 184: 3614–3622.
  10. 10. Talarmin A, Dubrous P, Gerome P, Buisson Y (1996) Study of Pseudomonas aeruginosa serotype O12 isolates with a common antibiotic susceptibility pattern. Eur J Clin Microbiol Infect Dis 15: 459–464.
  11. 11. Joardar V, Lindeberg M, Jackson RW, Selengut J, Dodson R, et al. (2005) Whole-genome sequence analysis of Pseudomonas syringae pv. phaseolicola 1448A reveals divergence among pathovars in genes involved in virulence and transposition. J Bacteriol 187: 6488–6498.
  12. 12. Wurdemann D, Tummler B (2007) In silico comparison of pKLC102-like genomic islands of Pseudomonas aeruginosa. FEMS Microbiol Lett 275: 244–249.
  13. 13. Battle SE, Meyer F, Rello J, Kung VL, Hauser AR (2008) Hybrid pathogenicity island PAGI-5 contributes to the highly virulent phenotype of a Pseudomonas aeruginosa isolate in mammals. J Bacteriol 190: 7130–7140.
  14. 14. Hanau-Bercot B, Podglajen I, Casin I, Collatz E (2002) An intrinsic control element for translational initiation in class 1 integrons. Mol Microbiol 44: 119–130.
  15. 15. Martin C, Timm J, Rauzier J, Gomez-Lus R, Davies J, et al. (1990) Transposition of an antibiotic resistance element in mycobacteria. Nature 345: 739–743.
  16. 16. Recchia GD, Stokes HW, Hall RM (1994) Characterisation of specific and secondary recombination sites recognised by the integron DNA integrase. Nucleic Acids Res 22: 2071–2078.
  17. 17. Setubal JC, dos Santos P, Goldman BS, Ertesvag H, Espin G, et al. (2009) Genome sequence of Azotobacter vinelandii, an obligate aerobe specialized to support diverse anaerobic metabolic processes. J Bacteriol 191: 4534–4545.
  18. 18. Dotsch A, Becker T, Pommerenke C, Magnowska Z, Jansch L, et al. (2009) Genomewide identification of genetic determinants of antimicrobial drug resistance in Pseudomonas aeruginosa. Antimicrob Agents Chemother 53: 2522–2531.
  19. 19. Jalal S, Wretlind B (1998) Mechanisms of quinolone resistance in clinical strains of Pseudomonas aeruginosa. Microb Drug Resist 4: 257–261.
  20. 20. Rather PN, Munayyer H, Mann PA, Hare RS, Miller GH, et al. (1992) Genetic analysis of bacterial acetyltransferases: identification of amino acids determining the specificities of the aminoglycoside 6′-N-acetyltransferase Ib and IIa proteins. J Bacteriol 174: 3196–3203.
  21. 21. Moore RA, DeShazer D, Reckseidler S, Weissman A, Woods DE (1999) Efflux-mediated aminoglycoside and macrolide resistance in Burkholderia pseudomallei. Antimicrob Agents Chemother 43: 465–470.
  22. 22. Salunkhe P, Smart CH, Morgan JA, Panagea S, Walshaw MJ, et al. (2005) A cystic fibrosis epidemic strain of Pseudomonas aeruginosa displays enhanced virulence and antimicrobial resistance. J Bacteriol 187: 4908–4920.
  23. 23. Huang H, Siehnel RJ, Bellido F, Rawling E, Hancock RE (1992) Analysis of two gene regions involved in the expression of the imipenem-specific, outer membrane porin protein OprD of Pseudomonas aeruginosa. FEMS Microbiol Lett 76: 267–273.
  24. 24. Mima T, Joshi S, Gomez-Escalada M, Schweizer HP (2007) Identification and characterization of TriABC-OpmH, a triclosan efflux pump of Pseudomonas aeruginosa requiring two membrane fusion proteins. J Bacteriol 189: 7600–7609.
  25. 25. Wolfgang MC, Kulasekara BR, Liang X, Boyd D, Wu K, et al. (2003) Conservation of genome content and virulence determinants among clinical and environmental isolates of Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 100: 8484–8489.
  26. 26. Kulasekara BR, Kulasekara HD, Wolfgang MC, Stevens L, Frank DW, et al. (2006) Acquisition and evolution of the exoU locus in Pseudomonas aeruginosa. J Bacteriol 188: 4037–4050.
  27. 27. Yang J, Chen L, Sun L, Yu J, Jin Q (2008) VFDB 2008 release: an enhanced web-based resource for comparative pathogenomics. Nucleic Acids Res 36: D539–542.
  28. 28. Smith EE, Sims EH, Spencer DH, Kaul R, Olson MV (2005) Evidence for diversifying selection at the pyoverdine locus of Pseudomonas aeruginosa. J Bacteriol 187: 2138–2147.
  29. 29. Bodilis J, Ghysels B, Osayande J, Matthijs S, Pirnay JP, et al. (2009) Distribution and evolution of ferripyoverdine receptors in Pseudomonas aeruginosa. Environ Microbiol.
  30. 30. Mikkelsen H, Ball G, Giraud C, Filloux A (2009) Expression of Pseudomonas aeruginosa CupD fimbrial genes is antagonistically controlled by RcsB and the EAL-containing PvrR response regulators. PLoS One 4: e6018.
  31. 31. Dong YH, Zhang XF, Xu JL, Tan AT, Zhang LH (2005) VqsM, a novel AraC-type global regulator of quorum-sensing signalling and virulence in Pseudomonas aeruginosa. Mol Microbiol 58: 552–564.
  32. 32. Juhas M, Wiehlmann L, Huber B, Jordan D, Lauber J, et al. (2004) Global regulation of quorum sensing and virulence by VqsR in Pseudomonas aeruginosa. Microbiology 150: 831–841.
  33. 33. Deziel E, Gopalan S, Tampakaki AP, Lepine F, Padfield KE, et al. (2005) The contribution of MvfR to Pseudomonas aeruginosa pathogenesis and quorum sensing circuitry regulation: multiple quorum sensing-regulated genes are modulated without affecting lasRI, rhlRI or the production of N-acyl-L-homoserine lactones. Mol Microbiol 55: 998–1014.
  34. 34. Crespo MP, Woodford N, Sinclair A, Kaufmann ME, Turton J, et al. (2004) Outbreak of carbapenem-resistant Pseudomonas aeruginosa producing VIM-8, a novel metallo-beta-lactamase, in a tertiary care center in Cali, Colombia. J Clin Microbiol 42: 5094–5101.
  35. 35. Mifsud AJ, Watine J, Picard B, Charet JC, Solignac-Bourrel C, et al. (1997) Epidemiologically related and unrelated strains of Pseudomonas aeruginosa serotype O12 cannot be distinguished by phenotypic and genotypic typing. J Hosp Infect 36: 105–116.
  36. 36. Ramisse F, van Delden C, Gidenne S, Cavallo J, Hernandez E (2000) Decreased virulence of a strain of Pseudomonas aeruginosa O12 overexpressing a chromosomal type 1 beta-lactamase could be due to reduced expression of cell-to-cell signaling dependent virulence factors. FEMS Immunol Med Microbiol 28: 241–245.
  37. 37. Fraser CM, Casjens S, Huang WM, Sutton GG, Clayton R, et al. (1997) Genomic sequence of a Lyme disease spirochaete, Borrelia burgdorferi. Nature 390: 580–586.
  38. 38. Tettelin H, Radune D, Kasif S, Khouri H, Salzberg SL (1999) Optimized multiplex PCR: efficiently closing a whole-genome shotgun sequencing project. Genomics 62: 500–507.
  39. 39. Paulsen IT, Seshadri R, Nelson KE, Eisen JA, Heidelberg JF, et al. (2002) The Brucella suis genome reveals fundamental similarities between animal and plant pathogens and symbionts. Proc Natl Acad Sci U S A 99: 13148–13153.
  40. 40. Delcher AL, Bratke KA, Powers EC, Salzberg SL (2007) Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics 23: 673–679.
  41. 41. Delcher AL, Phillippy A, Carlton J, Salzberg SL (2002) Fast algorithms for large-scale genome alignment and comparison. Nucleic Acids Res 30: 2478–2483.
  42. 42. Darling AC, Mau B, Blattner FR, Perna NT (2004) Mauve: multiple alignment of conserved genomic sequence with rearrangements. Genome Res 14: 1394–1403.
  43. 43. Grant JR, Stothard P (2008) The CGView Server: a comparative genomics tool for circular genomes. Nucleic Acids Res 36: W181–184.