Abstract
Pseudomonas aeruginosa is a major opportunistic pathogen in cystic fibrosis (CF) patients and causes a wide range of infections among other susceptible populations. Its inherent resistance to many antimicrobials also makes it difficult to treat infections with this pathogen. Recent evidence has highlighted the diversity of this species, yet despite this, the majority of studies on virulence and pathogenesis focus on a small number of strains. There is a pressing need for a P. aeruginosa reference panel to harmonize and coordinate the collective efforts of the P. aeruginosa research community. We have collated a panel of 43 P. aeruginosa strains that reflects the organism's diversity. In addition to the commonly studied clones, this panel includes transmissible strains, sequential CF isolates, strains with specific virulence characteristics, and strains that represent serotype, genotype or geographic diversity. This focussed panel of P. aeruginosa isolates will help accelerate and consolidate the discovery of virulence determinants, improve our understanding of the pathogenesis of infections caused by this pathogen, and provide the community with a valuable resource for the testing of novel therapeutic agents.
Keywords: Cystic fibrosis, genotype, pathogen, Pseudomonas aeruginosa
Background
Cystic fibrosis (CF) is a significant health care challenge and an important cause of premature mortality. Chronic lower respiratory tract infections are the major cause of morbidity and mortality in CF. Impaired mucociliary clearance from the lung makes CF patients vulnerable to opportunistic infections. Novel data from nonculture-based techniques suggests that the airway microbiome in CF is polymicrobial with multiple organisms present (Blainey et al. 2012; Fodor et al. 2012; Zhao et al. 2012). Despite these methodologic advances, conventional culture techniques remain the main clinical tool used in managing CF infections. Such conventional culture methods reveal that a relatively limited number of pathogens are isolated during pulmonary infections seen in patients with CF. The pathogens isolated by culture are predominantly Staphylococcus aureus, Haemophilus influenzae, and Pseudomonas aeruginosa. Rarer organisms from the Burkholderia cepacia complex (Bcc) and other pathogens are also encountered (de Soyza et al. 2004; Davies and Rubin 2007). Although Bcc causes less than 10% of CF infections (Lipuma 2010), the established international Bcc reference panel has helped harmonize Burkholderia research by standardizing approaches (Mahenthiralingam et al. 2000; Coenye et al. 2003).
Pseudomonas aeruginosa is the major pathogen in CF, infecting up to 80% of adult patients, and once established, the pathogen is often difficult to treat clinically (Cheng et al. 1996; Fothergill et al. 2012a; Parkins et al. 2012). Surprisingly there are no recognized international reference panels for the more prevalent CF pathogens, such as P. aeruginosa, S. aureus or H. influenzae. Arguably the most pressing need is for an international P. aeruginosa reference panel to reflect the relevance of this pathogen to CF and a range of other infections. Such a panel will encourage researchers to avoid use of isolates with limited availability, and to potentially prevent unnecessary repetition across laboratories. The availability of a standardized reference panel would improve efficiency and reduce experimental animal sacrifice, while also facilitating the search for improved therapeutic approaches. In order to assemble the most appropriate reference panel of P. aeruginosa isolates, we aimed to define consensus on the core characteristics of an international reference panel through an iterative and interactive process involving workshops and a consensus finding exercise. Molecular genotyping was then used to ensure that the panel was broadly representative of the wider population structure of P. aeruginosa.
Methods
Consensus choice of isolates for initial inclusion
A broad range of expertise was assembled including clinicians, clinical microbiologists and basic science microbiology researchers. Requirements for a reference panel were discussed in open forum on two occasions under the auspices of a European Union Co-ordinated Scientific and Technology (COST) action (COST BM1003; http://www.cost-bm1003.info/). Discussion with further researchers active in the field with an international perspective (including coauthors D. D. V., J. P. P., T. K., J. B., and B. T.; see also acknowledgments) was then conducted prior to a final consensus process involving COST action members using prior techniques (RAND consensus tool) (Francis et al. 2007).
The consensus-seeking process used statements identified in the prior workshops, with the assembled experts independently scoring each statement. Statements identified and scored in the RAND process are included in Table 1. Consensus was then sought based on the individual scores as compared to the group average. Indifference was rated as scores 4–6, while 7–9 was rated as a positive consensus and 1–3 as a negative consensus. The group were also asked to rate the ideal number of isolates to be included in the panel with a mean score presented.
Table 1.
Details of the criteria used in the consensus process and the outcome. Please grade the following criteria as regards how necessary they are to necessitate inclusion of a particular Pseudomonas aeruginosa strain into an international reference panel (increasing numbers mean increasing necessity): Consensus grading – NR, consensus not reached; 9, mandatory criteria; 7, 8, necessary criteria; 4, 5, 6, useful but not mandatory; 2, 3, not a necessary criteria; 1, no relevance to international reference panel.
Consensus grade | |
---|---|
The Pseudomonas strain has | |
Already been genome sequenced | 5 |
Some prior virulence data in vitro | 6 |
Extensive prior virulence data in vitro | NR |
Some prior virulence data in vivo | NR |
Extensive prior virulence data in vivo | NR |
A known biofilm formation phenotype | NR |
Can be easily phenotyped for biofilm phenotype | NR |
Comes from a clinical source other than CF | 6 |
Comes only from CF sources | NR |
Is known to be from early or late stage CF | NR |
Is of mucoid nature | NR |
Is of non mucoid nature | NR |
Is susceptible to bacteriophages | NR |
The strain panel should include | |
Range of strains from different sources (geographic) | 8 |
Range of strains from different sources (CF, non CF clinical and environmental) | 8 |
ONLY genome sequenced strains | 4 |
Strains with structural characterization data available | 6 |
ONLY strains where structure of virulence determinants known | NR |
Strains where variation in resistance is known or expected | 6 |
ONLY strains where resistance patterns already known | NR |
Strains where in vivo virulence patterns where possible | 6 |
ONLY strains where in vivo virulence patterns already known | NR |
Strains to allow a variety of Mucoid\ non Mucoid where possible | 6 |
Strains ONLY where non Mucoid \non Mucoid Status known | NR |
Strains of epidemic and sporadic clinical infection status | 8 |
The panel should be provided at no cost | NR |
The panel should be hosted by a recognized collection (e.g., BCCM) | 8 |
The ideal number of strains in the panel should be 0–10,11–20, 21–30, 31–40, 41–50 | 21–30 |
Genotyping of isolates using the ArrayTube method
Strains of P. aeruginosa were genotyped using the ArrayTube (AT) system (CLONDIAG, Alere Technologies, Köln, Germany) as described previously (Wiehlmann et al. 2007). The AT microarray chip enables strains to be classified according to 13 core genome single-nucleotide polymorphisms (SNPs), and also screens for 38 variable genetic markers of the P. aeruginosa accessory genome. These include several previously reported genomic islands (Arora et al. 2001; Liang et al. 2001; Larbig et al. 2002; de Chial et al. 2003; Spencer et al. 2003; He et al. 2004; Klockgether et al. 2004; Lee et al. 2006). Data from the 13 SNPs are combined with flagellin type (a/b) and the presence of the genes encoding mutually exclusive type III secretion exotoxins (S or U), to generate a strain-specific “hexadecimal code” represented by four digits (Wiehlmann et al. 2007). This code can be used to search a large database of P. aeruginosa strains (Cramer et al. 2012). Subsequently, eBURST (version 3.0) (Feil et al. 2004; Spratt et al. 2004) analysis of data generated using the AT from the 13 SNPs, flagellin type (a or b) and presence of the mutually exclusive type III secretion exotoxins (S or U), was used to visualize the position of panel strains within the wider P. aeruginosa population structure using a database of 955 genotyped strains (Cramer et al. 2012).
Results
RAND process
A number of strain and reference panel characteristics were identified at the scoping workshops (Table 1). Through the iterative consensus-seeking process we identified a variety of characteristics for individual isolates and also for the overall panel, and then reduced these to criteria that were deemed either mandatory or critical. Consensus was reached where the majority of scores were within the same ranking and was achieved in 12 of 28 statements. The preferred mean number of isolates to be included in the reference panel was 26 ± 4 (10 responders).
Panel strain selection
Isolates were selected based on the characteristics identified through the Delphi process and literature searches via PubMed. Where possible, isolates were chosen when extensive prior data were available, including those with genome sequencing data (Stover et al. 2000; Mathee et al. 2008; Winstanley et al. 2009; Stewart et al. 2011), in vitro and/or in vivo virulence data (Hajjar et al. 2002; Al-Aloul et al. 2004; Cigana et al. 2009; Carter et al. 2010). Isolates were also selected to include representatives from diverse biologic and geographic origins, including clinical isolates (CF and non-CF clinical infections) and environmental sources (Cigana et al. 2009; Pirnay et al. 2009). Because this is an International panel, a global perspective is essential and isolates from geographically dispersed origins were also chosen (Pirnay et al. 2009). The final selection of 43 strains is listed in Table 2. The strain panel is available from the BCCM/LMG Bacteria Collection (http://bccm.belspo.be/about/lmg.php), Gent, Belgium, and the LMG reference numbers are shown in Table 2.
Table 2.
International reference panel of Pseudomonas aeruginosa isolates.
Panel no. | Source ID | LMG number | Origin and source | Genome sequence | AT code (Clone) | Details | Reference |
---|---|---|---|---|---|---|---|
CF transmissible strains | |||||||
1 | LES B58 | 27622 | CF, U.K. (1988) | Yes | 4C12(T) | Earliest isolate of LES; genome sequenced; produces more biofilm than PAO1 and PA14 but less motile; virulent in C. elegans model, reduced virulence in murine model | Kukavica-Ibrulj et al. (2008); Winstanley et al. (2009); Carter et al. (2010) |
2 | LES 400 | 27623 | CF, U.K. | Yes | 4C12(T) | Quorum sensing defective lasR mutant of LES; reduced C. elegans killing; upregulation of alginate production | Salunkhe et al. (2005); Carter et al. (2010) |
3 | LES 431 | 27624 | Non CF parent of CF patient, U.K. | Yes | 4C12(T) | LES isolate with increased virulence in the murine model; hypervirulent subtype more adapted to acute infections; transmitted to non CF parents; upregulated QS genes | Salunkhe et al. (2005); Carter et al. (2010) |
4 | C3719 | 27625 | CF, Manchester, U.K. | Yes | 4012(O) | Manchester epidemic strains associated with increased treatment requirements of CF patients with a highly transmissible strain | Jones et al. (2002); Mathee et al. (2008) |
5 | DK2 | 27626 | CF, Denmark; earliest isolates 1973–2007 | Yes | F421(A2) | Initial period of rapid adaption in CF host, followed by long period of some phenotypic changes and genotypic negative selection; low growth rate, loss of motility and reduced regulatory functions | Yang et al. (2011b) |
6 | AES-1R | 27627 | Pediatric CF (1992), Melbourne, Australia | Yes | E82A | AUST-01 strain (aka AES-1, Pulsotype 1), ST-649; associated with increased morbidity and treatment; virulence gene expression during chronic CF infection; niche specialization | Armstrong et al. (2002); Manos et al. (2008); Naughton et al. (2011) |
7 | AUS23 | 27628 | Adult CF (2007), Brisbane, Australia | Pending | 2D9A | AUST-02 strain (aka AES-2, Pulsotype 2), ST-775; associated with increased treatment requirements and niche specialization | O'Carroll et al. (2004); Kidd et al. (2012) |
8 | AUS52 | 27629 | Adult CF (2008), Hobart, Australia | Pending | EC22 | AUST-03 strain (aka AES-3), ST-242; associated with increased exacerbation rate; predominantly detected in CF patients from Tasmania and southern Australia | Bradbury et al. (2008); Kidd et al. (2012) |
Paired or sequential CF isolates | |||||||
9 | AA2 | 27630 | CF (early), Germany | Yes | AF9A | LPS and PGN studied; in vivo virulence | Bragonzi et al. (2006, 2009); Lore et al. (2012) |
10 | AA43 | 27631 | CF (late), Germany | Yes | AF9A | As above | Bragonzi et al. (2006, 2009); Lore et al. (2012) |
11 | AA44 | 27632 | CF (late), Germany | Yes | AF9A | As above | (Bragonzi et al. 2006, 2009;Lore et al. 2012) |
12 | AMT 0023-30 | 27633 | Pediatric CF, Seattle, WA | Yes | 478A | Early isolate taken at 6 months of age; persister cells | Mulcahy et al. (2010) |
13 | AMT 0023-34 | 27634 | Pediatric CF, Seattle, WA | Yes | 478A | 96-month isolate from same patient as AMT023-30 showing a 100-fold increase in persister cells; mutS mutation; hypermutator phenotype | Mulcahy et al. (2010) |
14 | AMT 0060-1 | 27635 | Pediatric CF, Seattle, WA | No | 6D92(H) | Late isolate identifying hip mutants; late isolates showed high-level persister cells; mutation in mexZ repressor affecting MIC to Ofloxacin, Carbenicillin and Tobramycin. | Mulcahy et al. (2010) |
15 | AMT 0060-2 | 27636 | Pediatric CF, Seattle, WA | No | 6D92(H) | Late isolate identifying hip mutants; late isolates from these patients showed high level persister cells, mutation in mexZ repressor affecting MIC to Ofloxacin, Carbenicillin and Tobramycin. | Mulcahy et al. (2010) |
16 | AMT 0060-3 | 27637 | Pediatric CF, Seattle, WA | Pending | 6D92(H) | Early isolate from same patient as AMT 0060-1 and -2 were isolated | Mulcahy et al. (2010) |
Commonly used strains/clones | |||||||
17 | PAO11 (ATCC 15692) | 27638 | Genome sequenced isolate | 0002(W) | Widely studied wound isolate from Melbourne, Australia; characterized by Bruce Holloway | Stover et al. (2000) | |
18 | UCBPP-PA14 | 27639 | Human Burn isolate | Yes | D421(A) | Severe symptoms in mouse burn model; 58 genes present in PA14 not in PAO1 | Rahme et al. (1995); Lee et al. (2006) |
19 | PAK | 27640 | Clinical non CF | Pending | 55AA | Widely studied; expresses pili, flagella and glycosylation islands etc. | Totten and Lory (1990); Semblat and Doerig (2012) |
20 | CHA | 27641 | CF | Yes | EC2A | Detailed phenotypic characterization; | Toussaint et al. (1993); Dacheux et al. (2000); Bezuidt et al. (2013) |
21 | NN2 | 27642 | CF, Germany | Yes | C40A (C) | Detailed phenotypic characterization; Clone C | Cramer (et al. 2011) |
Strains with specific phenotypic/virulence characteristics | |||||||
22 | IST 27 mucoid | 27643 | Lisbon Portugal, CF patient | Pending | F69A | Pediatric CF patient from Hospital de Santa Maria,Lisbon | Leitao et al. (1996); Tavares et al. (1999) |
23 | IST 27N | 27644 | Lisbon Portugal, spontaneous nonmucoid variant of IST27 | Pending | F69A | Spontaneous non-mucoid variant of IST27 with the same macrofragment restriction profile by RFLP-PFGE | Leitao et al. (1996); Tavares et al. (1999) |
24 | 968333S | 27645 | UK Non CF bronchiectasis | Pending | 3C52(K) | Non CF bronchiectasis patient from the UK; Mucoid; Detailed phenotypic characterization | De Soyza et al. (Manuscript under review)2 |
25 | 679 | 27646 | Non CF Urine sample, male, Wroclaw Poland, 2011 | Pending | 0C4A | Resistant to imipenem and meropenem | Zuzanna Drulis-Kawa, University of Wroclaw |
26 | 39016 | 27647 | Keratitis eye isolate, U.K. | Yes | F469 (D) | Clone D by AT; serotype O11; carries distinctive pilA; subpopulation adapted to corneal infections; associated with severe infection; ST-235 | Stewart et al. (2011); Hall et al. (2013) |
27 | 2192 | 27648 | Chronic CF patient, Boston, MA | Yes | 049A | Large genome, converted to mucoidy; produces LPS which lacks O-side chains; lacks motility | Mathee et al. (2008) |
28 | NH57388A | 27649 | Denmark CF | Pending | 6822 | Stable CF sputum mucoid isolate; alginate hyperproducer; has functional QS system; caused chronic lung infection in a mouse model. | Hoffmann et al. (2005) |
Strains included to represent serotype, genotype, geographic and source diversity | |||||||
29 | 1709-12 | 27650 | Leuven Belgium Non CF clinical 2004 | Pending | 7D92 | Serotype 12; multi drug resistant | Pirnay et al. (2009) |
30 | Mi 162 | 27651 | Non CF burn, Ann Arbor, MI, 1997 | Pending | D429(Q) | Serotype 11; multi drug resistant | Pirnay et al. (2009) |
31 | Jpn 1563 | 27652 | Lake Tamaco, Japan, Lake water, 2003 | Pending | 3C1A | Non serotypeable | Pirnay et al. (2009) |
32 | LMG 14084 | 27653 | Bucharest, Romania, Water, 1960-1964 | Pending | E42A (B) | Serotype 17 | Pirnay et al. (2009) |
33 | Pr335 | 27654 | Prague, Czech Republic, Hospital environment 1997 | Pending | FA0A | Serotype 1 | Pirnay et al. (2009) |
34 | U018a | 27655 | Hobart, Australia, CF patient | Pending | 2A42 | Serotype 1 | Pirnay et al. (2009) |
35 | CPHL 9433 | 27656 | Tobacco plant, Philippines | Pending | F462 | Serotype 1 | Pirnay et al. (2009) |
36 | RP1 | 27657 | CF, Germany | Yes | OC2E | Abundant in Northern Germany but infrequent in other European countries | Cramer et al. (2012) |
37 | 15108/-1 | 27658 | ICU (acute infection), Spain | Yes | E429 | Isolated in Prat de Llobgregat, Spain; Detailed phenotypic characterization | Kohler et al. (2009) |
38 | 57P31PA | 27659 | Chronic Obstructive Pulmonary Disease, USA | Yes | 2C22 | Detailed phenotypic characterization | Rakhimova et al. (2009) |
39 | 13121/-1 | 27660 | ICU (acute infection), France | Yes | 239A | Isolated inLimoges, France; Detailed phenotypic characterization | Wiehlmann et al. (2007) |
40 | 39177 | 27661 | Keratitis, Manchester U.K. | Yes | EA0A | Serotype 1; Detailed phenotypic characterization | Stewart et al. (2011); (Shankar et al. (2012) |
41 | KK1 | 27662 | CF, Germany | Yes | 1BAE | Detailed phenotypic characterization | Cramer et al. (2012) |
42 | A5803 | 27663 | Community-acquired pneumonia | Yes | F429 | Detailed phenotypic characterization | Wiehlmann et al. (2007) |
43 | TBCF10839 | 27664 | CF, Germany | Yes | 3C52 | Detailed phenotypic characterization | Bezuidt et al. (2013); Klockgether et al. (2013) |
MIC, minimum inhibitory concentration; ICU, intensive care unit.
This has alternate strain names of: 1C, ATCC 15692, ATCC 17503, ATCC 25247, ATCC 25375, BCRC 13078, CCRC 13078, CECT 4122, CIP 104116, HER 1146, Holloway 1C, Holloway1, JCM 14847, KCTC 1637, Kemira Oy, LMG 12228, NCCB 4163, NCIMB 10545, NCIMB 10548, PA0 1, PA01, PAO 1, PC 4163, PRS 101, Stanier 131, VTT E-082794, VTT E-84219.
De Soyza, A., A. Perry, A. J. Hall, S. Sunny, K. Walton, N. H. Mustafa, et al. Pseudomonas aeruginosa cross infection in bronchiectasis: a Molecular Epidemiology study. Manuscript under review.
Genotyping to define the distribution of the panel strains among the wider P. aeruginosa population
Each of the panel strains was genotyped using the AT method. Figure 1 shows an eBURST representation of the distribution of the panel strains among the wider population of P. aeruginosa. The panel strains are widely distributed and include representatives of both abundant and less abundant clones. The AT codes are indicated in Table 2.
Figure 1.
Distribution of panel strains among the wider Pseudomonas aeruginosa population. The figure shows an eBURST analysis based on AT genotyping using a database of 955 P. aeruginosa isolates of independent origin. The locations of the panel isolates are circled. Red circles indicate genotypes corresponding to the 10 most abundant in the database. Blue circles indicate the location of other panel strains. Each dot represents a different genotype; the size of a dot indicates the relative abundance of a genotype. The genotype cluster locations for four commonly studied strains from the panel are indicated.
Brief description of the panel strains
CF transmissible strains
Although it is still widely assumed that most CF patients acquire their infecting strains of P. aeruginosa from environmental sources, there is increasing evidence for the emergence of particularly successful transmissible strains (Fothergill et al. 2012a), some of which have been associated with increased patient morbidity or mortality (Al-Aloul et al. 2004; Aaron et al. 2010) or antimicrobial resistance (Ashish et al. 2012). Hence, we have included representatives of the most widely studied transmissible strains. These include three isolates of the Liverpool Epidemic Strain (LES), first reported in a U.K. children's CF Unit in the 1990s (Cheng et al. 1996), but known to be widespread through the U.K. (Scott and Pitt 2004; Martin et al. 2013), and reported recently in North America (Aaron et al. 2010). This strain is associated with novel transmission events (McCallum et al. 2002), increased patient morbidity (Al-Aloul et al. 2004), and resistance to antimicrobials (Ashish et al. 2012). There are many phenotypic variants of this strain (Mowat et al. 2011), but we have selected three, namely (1) LESB58, the earliest known isolate (from 1988) (Winstanley et al. 2009), (2) LES400, a lasR mutant that is in defective quorum sensing and shows reduced virulence in various infection models (Salunkhe et al. 2005; Carter et al. 2010) and (3) LES431, an isolate associated with the infection of the non-CF parent of a CF patient, an upregulated quorum sensing system and enhanced virulence in infection models (McCallum et al. 2002; Salunkhe et al. 2005; Carter et al. 2010). All three LES isolates are methionine auxotrophs.
In addition, we include a genome-sequenced representative of the other most commonly studied U.K. epidemic strain, the Manchester strain, C3719 (Mathee et al. 2008; Jones et al. 2010). A number of transmissible strains have been reported in Australia, and we include representatives of the three most widely studied, namely AUST-01 (AES-1), AUST-02 (AES-2) and AUST-03 (AES-3). AUST-01, associated with increased patient morbidity, was first reported in Melbourne but has also been reported in Sydney and Brisbane (Armstrong et al. 2003; O'Carroll et al. 2004; Kidd et al. 2013). AUST-02 has been reported as more common in Brisbane (Syrmis et al. 2004; Kidd et al. 2013), whereas AUST-03 is the most common CF strain in Tasmania (Bradbury et al. 2008). Strain DK2, identified as infecting multiple CF patients in Denmark, was the subject of a detailed analysis of genome sequences from multiple isolates (Yang et al. 2011a). Although we recognize that there are other known CF transmissible strains (Fothergill et al. 2012a), and new strains are emerging all the time, we have restricted our choices to those for which there are substantial additional phenotypic and genotypic data.
Other CF isolates
In choosing our CF isolates (epidemic and nonepidemic strains) we sought to represent phenotypes typically associated with such isolates, such as mucoidy, hypervirulence, loss of virulence activities (such as quorum sensing), antimicrobial resistance, and auxotrophy.
Adaptation is a hallmark of CF pathogens, enabling them to chronically colonize the challenging host environment and avoid immune detection during chronic colonization (Callaghan and McClean 2012). There have been a number of studies where single-strain sequential isolates for CF patients have been analyzed in order to understand the mechanisms of the adaptation that P. aeruginosa populations undergo during chronic lung infections (Smith et al. 2006; Bragonzi et al. 2009; Cramer et al. 2011; Yang et al. 2011b). Classically, these include examples of isolates from “early” and “late” in an infection, and we have included example isolates from both European and North American studies. We have included isolates AA2 (early), AA43 (mucoid, late) and AA44 (nonmucoid, late), which have been compared using multiple phenotypic tests and in a murine infection model (Bragonzi et al. 2009). We also include five pediatric sequential isolates including the matched “early” and “late” isolates AMT 0023-30 and AMT 0023-34, the latter of which is an example of a hypermutator (mutS mutant) and shows a 100-fold increase in persister levels (enhanced survival upon exposure to antibiotics) (Mulcahy et al. 2010). We further include AMT0060-1, -2 and -3, “early” and “late” isolates from a separate patient, representing sequential isolates obtained when that patient was 15.4 (two distinct phenotypes, AMT0060-1 and -2) and 7.7 (AMT0060-3) years-old.
Widely studied strains
We have included in the panel a number of strains that are frequently studied by the P. aeruginosa research community. We note that there are variants (Klockgether et al. 2010) of the most widely studied strain, PAO1, which was the first to be genome sequenced (Stover et al. 2000). This can lead to difficulties when comparisons are made between laboratories. The variant of PAO1 we have deposited is derived from the culture grown for genome sequence analysis (Stover et al. 2000). The Pseudomonas Genome Database (http://v2.pseudomonas.com) (Winsor et al. 2011) represents a very useful and comprehensive online database for interrogation of the genome of strain PAO1, as well as the genomes of other strains included in this panel (2192, 39016, C3719, DK2, LES B58, and UCBPP-PA14) (Table 2).
It has been shown that PA14-like strains and Clone C are the two most abundant P. aeruginosa clones among CF patients (Romling et al. 2005; Cramer et al. 2011, 2012). Indeed, Clone C is ubiquitous throughout the inanimate environment also, whereas UCBPP-PA14 (PA14) is not so common outside of the CF population (Pirnay et al. 2009). Hence, representatives of both of these clones have been included. Strain PAK has also been widely studied, for example in relation to biofilm formation (Vasseur et al. 2005), flagellar glycosylation (Miller et al. 2008), and gene regulation (Brencic and Lory 2009).
We have also included the highly pathogenic strains CHA (Toussaint et al. 1993) and TBCF10839 (Tummler et al. 1991; Klockgether et al. 2013). Strain CHA is an example of a strain producing the potent exotoxin U, and its type III secretion system has been the subject of much analysis (Dacheux et al. 2000; Ader et al. 2005). The virulence of strain TBCF10839 has also been extensively studied (Bohn et al. 2009).
Strains with specific phenotypic characteristics
Mucoidy is a phenotype associated with chronic colonization, which derives from the production of high concentrations of the exopolysaccharide, alginate. Mucoid strains that chronically colonize the lungs of CF patients may evolve from initial nonmucoid strains, but the mucoid phenotype is unstable in vitro. Consequently, the pair of strains IST27, a mucoid isolate from a CF patient, and its nonmucoid variant IST27N, obtained spontaneously during IST27 cultivation in the laboratory, have been included to directly assess the role of mucoidy in pathogenesis and the regulation of the mucoid phenotype switch. IST27 and IST27N are clonal variants indistinguishable by genomic fingerprinting (Leitao et al. 1996). In contrast to IST27, IST27N has undetectable levels of GDP (guanosine diphosphate)-mannose dehydrogenase (GMD) activity, consistent with the concept that the control of alginate biosynthesis occurs at the level of the encoding gene algD (Tavares et al. 1999). In addition, other mucoid strains such as NH57388A and 968333S have been included (manuscript under review). The latter is a mucoid strain and was selected due to its isolation from a U.K. patient with advanced non-CF bronchiectasis treated with long-term colistin. This will provide a useful comparator to “late phase” CF strains.
Lipopolysaccharide (LPS) composition is another important phenotype that plays a key role in pathogenesis; therefore isolates with defined LPS structures have been included (Cigana et al. 2009). Furthermore, strains 39,106 (Stewart et al. 2011) and 679 were chosen as examples of severe keratitis and urinary tract infection isolates, respectively.
Strains representing genotypic, geographic and source diversity
Although conscious of keeping the reference panel to a reasonable number, we included a number of strains to ensure that we captured the diversity of P. aeruginosa in nature as much as possible. There have been a number of key studies using genotypic and phenotypic approaches to defining the population structure (Pirnay et al. 2002, 2009; Wiehlmann et al. 2007; Cramer et al. 2012; Kidd et al. 2012; Shankar et al. 2012; Martin et al. 2013). We selected seven isolates from a P. aeruginosa study (Pirnay et al. 2009) representing diversity in serotype, drug resistance, and geographic source, including three serotype 1 strains from very different geographic locations, and environmental isolates. Cramer et al. (2012) recently defined the population structure of P. aeruginosa in relation to CF by AT genotyping a collection of 955 isolates from multiple European CF centers. The collection also included isolates from various non-CF clinical and environmental sources for comparison. We have included in our collection representatives of each of the 10 most common clones identified. We have also ensured that we have representatives from diverse types of infection, including various non-CF respiratory infections (pneumonia, including ventilator-associated pneumonia (VAP), chronic obstructive pulmonary disease (COPD)-associated, non-CF bronchiectasis), burn wound infections, eye infections, and urinary tract infections. Although we accept that other genotyping approaches have been used to study large collections of P. aeruginosa, including multilocus sequence typing (MLST) and variable number of typing repeats (VNTR), and that all such methods have limitations, using the AT method we were able to easily place the panel strains in the context of a much wider survey and ensure that common clones are represented. It is likely that all such genotyping methods will be superceded by whole genome sequencing. Hence, we are committed to ensuring that each panel strain is genome sequenced. This is currently being undertaken in collaboration with Roger Levesque (Université Laval) and the data will be made available as soon as possible.
Discussion
There is a need to coordinate our collective efforts in P. aeruginosa research to achieve both rapid and meaningful progress. Arguably the most pressing need for accelerating scientific progress relates to CF due to the clinical burden and prognostic effects of P. aeruginosa infections. Hence, our efforts were focussed on defining a core reference panel of isolates relevant to CF research. However, given the increasing importance of P. aeruginosa in a range of opportunistic infections, we have also chosen a panel with broader relevance.
We realize that no panel will achieve absolute consensus on all of the required parameters that various international research teams may wish to study. However, the consensus-seeking process did define core characteristics necessary for the proposed reference panel of P. aeruginosa. These characteristics included ensuring diversity in the biologic niche by choosing clinical, environmental, and laboratory isolates. We have also ensured that geographic diversity is reflected, and that although the panel includes representatives of the dominant circulating P. aeruginosa clones, we also include more unusual outliers to reflect the diversity of the species. Hence, we believe that within the limitations of keeping the number manageable, we have assembled a representative panel for use by the wider research community.
Infections of the CF lung by P. aeruginosa have been associated with the development of a number of important bacterial characteristics such as induction of mucoid status (Govan and Deretic 1996), evidence of hypermutability (Oliver et al. 2000), changes in cell surface virulence determinants (Cigana et al. 2009), and loss of virulence factors (D'Argenio et al. 2007). However, it is important to note that during chronic infections of the CF lung P. aeruginosa populations are diverse. Hence, there is considerable variability in virulence factor expression or antibiotic resistance among CF isolates of P. aeruginosa, even when they are obtained from the same sputum sample and the patient is infected with a single strain (Foweraker et al. 2005; Mowat et al. 2011). These features of P. aeruginosa associated with CF may be due to the (passive) accumulation or (active) development of mutations that occurs during the chronic lung infections that characterize CF. Furthermore, there are data demonstrating “CF specific” differences in the expression of virulence determinants such as LPS as compared to isolates from other clinical diseases states and environmental isolates (Ernst et al. 2007; Moskowitz and Ernst 2010). We have sought to represent in the panel some of the key phenotypic variations evident in the wider P. aeruginosa community, especially in relation to CF infections.
We achieved consensus on the requirement that the panel must include CF epidemic strains (Fothergill et al. 2012a) and sporadic isolates responsible for clinical infections. We also achieved consensus on the need for multiple isolates of certain important strains (e.g., LES), including subtypes with different virulence characteristics.
Antimicrobial resistance and biofilm information are both characteristics central to the clinical challenges in managing CF and other infections. The panel therefore includes multidrug-resistant strains and an isogenic parent and mutant strain which are, respectively, biofilm-forming and biofilm-deficient. It is the intention that such a panel should be used for further in-depth analysis and comparisons of phenotypes such as biofilm formation and antimicrobial resistance, and there was agreement that this requires further study. It is also envisaged that the panel will represent an excellent strain reference set for the testing of novel therapeutic approaches to the treatment of P. aeruginosa infections, which are desperately needed (Fothergill et al. 2012b).
Making use of prior data is scientifically and economically mandatory and improves the effective use of research funding. The proposed panel has aimed to include isolates that had already been well-characterized, such as the commonly used strains PAO1, PA14, PAK, and LESB58, and isolates where there has been comprehensive pathogenicity work undertaken.
Importantly, there was consensus that all of the identified factors did not need to be defined for each strain in the panel at inclusion. Full genome sequencing was not felt mandatory for inclusion in the panel. However, the majority of strains included have been sequenced and the remainder will be sequenced in the near future for completion. Furthermore, the number of strains included is beyond the consensus achieved for an “ideal” number. It proved difficult to reduce the number of strains included without losing the richness of the existing data already available on many of these strains.
Significant challenges lie ahead in understanding the biology of P. aeruginosa. The coordination of scientific efforts across research groups and avoiding the use of widely differing random isolates which result in unhelpful repetition is imperative. Better coordination and definitive replicate data fulfil an unwritten demand of the scientific community, the patient population and life science research funders. The aim of this proposed panel is to harmonize and coordinate the ongoing efforts of the research community to fulfil these goals. The international reference panel of B. cepacia complex isolates undoubtedly led to more streamlined approaches with this less prevalent group of pathogens. The Bcc reference panel grew with time to reflect the needs of the bioscience community, as well as to mediate the discovery of newer species within the complex being defined. This proposed panel of P. aeruginosa isolates has a particular focus on CF and human disease. As occurred with the original Bcc reference panel, which comprised 30 strains originally (Mahenthiralingam et al. 2000), but was updated with time and new discoveries (Coenye et al. 2003), this panel may similarly need to be extended in time. However, it is clear that a focussed panel of P. aeruginosa isolates as assembled is needed to help accelerate discovery and assessment of virulence determinants, and to develop better strategies to counter this successful pathogen.
Acknowledgments
The following authors (A. D. S., E. M., P. D., W. K., Z. D. K., S. R. S., V. T., T. C., I. S. C., S.Mc.C., and C.W.) are all members of the EU COST Action BM1003: Microbial cell surface determinants of virulence as targets for new therapeutics in cystic fibrosis (http://www.cost-bm1003.info/) and acknowledge this support in the collation of this panel. A. D. S. was supported by a Higher Education Funding Council for England Senior Lectureship, J. L. B. was supported by a grant from the National Institutes of Health (NIDDK P30 DK 89507). We also acknowledge the helpful advice and encouragement from Peter Vandamme, Ghent University, David Speert, University of British Columbia, Scott Bell, The Prince Charles Hospital, Brisbane, and John R. W. Govan. University of Edinburgh. We also gratefully acknowledge Marvin Whiteley, University of Texas at Austin, and Niels Hoiby, University of Copenhagen, who kindly supplied strains.
Conflict of Interest
None declared.
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