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ATP-binding cassette systems in Burkholderia pseudomallei and Burkholderia mallei

BMC Genomics volume 8, Article number: 83 (2007) Cite this article

Abstract

Background

ATP binding cassette (ABC) systems are responsible for the import and export of a wide variety of molecules across cell membranes and comprise one of largest protein superfamilies found in prokarya, eukarya and archea. ABC systems play important roles in bacterial lifestyle, virulence and survival. In this study, an inventory of the ABC systems of Burkholderia pseudomallei strain K96243 and Burkholderia mallei strain ATCC 23344 has been compiled using bioinformatic techniques.

Results

The ABC systems in the genomes of B. pseudomallei and B. mallei have been reannotated and subsequently compared. Differences in the number and types of encoded ABC systems in belonging to these organisms have been identified. For example, ABC systems involved in iron acquisition appear to be correlated with differences in genome size and lifestyles between these two closely related organisms.

Conclusion

The availability of complete inventories of the ABC systems in B. pseudomallei and B. mallei has enabled a more detailed comparison of the encoded proteins in this family. This has resulted in the identification of ABC systems which may play key roles in the different lifestyles and pathogenic properties of these two bacteria. This information has the potential to be exploited for improved clinical identification of these organisms as well as in the development of new vaccines and therapeutics targeted against the diseases caused by these organisms.

Background

The Burkholderia are non spore-forming, Gram-negative bacteria. Burkholderia pseudomallei is a saprophytic bacillus and the causative agent of the emerging infection melioidosis, an endemic disease in southeast Asia and Northern Australia [1].Burkholderia mallei is an obligate pathogen of solipeds and can infect humans although cases are rare [2]. It is the causative agent of glanders, a disease that is endemic in areas of Asia, the Middle East, Northern Africa and the Mediterranean [3]. Both B. mallei and B. pseudomallei have been classified as category B threat agents by the US Center for Disease Control and Prevention.

The reporting of the sequenced genomes of both B. pseudomallei strain K96243 [4] and B. mallei strain ATCC 23344 [5] has revealed that these bacteria are closely related. Multilocus sequence-based typing has shown that B. mallei is a clonal derivative of B. pseudomallei [6], although significant differences exist between the genomes of these organisms [4, 5]. The B. pseudomallei K96243 genome is 1.31 Mb larger than that of B. mallei ATCC 23344 and 16% of chromosome 1 and 31% of chromosome 2 of B. pseudomallei K96243 is unique with respect to B. mallei ATCC 23344. In contrast, < 1% of chromosome 1 and only 4% of chromosome 2 of B. mallei ATCC 23344 is unique with respect to B. pseudomallei K96243. The acquisition of DNA is a feature of the genome of B. pseudomallei K96243 [5], whilst the reduced size of the B. mallei ATCC 23344 genome appears to be related to a process of reductive evolution [4]. The difference in genome sizes may be related to differences in lifestyle observed between these two organisms. Specifically, the greater number of genes in B. pseudomallei may reflect the ability of the organism to survive in soil and water as well as in a diverse range of mammalian and avian hosts whereas B. mallei survives mainly within soliped hosts and not in the environment [3]. Furthermore, comparative genomic analyses indicate that B. mallei may lack gene products and pathways essential for survival in the environment whereas both organisms share other functional pathways associated with virulence or drug resistance [5, 4].

ATP-binding cassette (ABC) systems are versatile transport systems which vary greatly in size and generally function to import or export a range of substances [7]. In pathogenic bacteria these systems can play important roles in survival and pathogenicity [7]. The common feature of all ABC systems is the hydrolysis of ATP to ADP by the highly conserved ABC [8]. The ABC has three conserved motifs, known as the Walker A and B sites, commonly found in ATPases, and the linker peptide which has the signature motif LSSGQ. The majority of ABC systems contain two hydrophilic cytoplasmic domains (ABC domains) in association with two hydrophobic membrane-spanning domains (IM domains). Import systems are specific to prokaryotic organisms and contain ABC and IM domains on separate polypeptide chains along with an extracytoplasmic binding protein (BP) for proper function. In Gram-negative bacteria the BPs are located in the periplasm whereas in Gram positive organisms, these proteins are anchored to the cellular membrane by an N-terminal acyl glyceryl cysteine. An important role for bacterial ABC import systems is in the import of iron-siderophore complexes, free iron and other iron bound complexes. Bacterial ABC import systems function in the acquisition of free iron, iron-bound complexes, mono-and oligosaccharides, organic and inorganic ions, amino acids and short peptidesmetals and vitamins [9]. In contrast, ABC systems involved in export are found in both prokaryotic and eukaryotic organisms contain IM and ABC domains fused in a variety of conformations. Most export systems are expressed as with the IM domain fused to the ABC either N-terminally (IM-ABC) or C-terminally (ABC-IM). These polypeptides homodimerise to form a functional system. A great number are predicted to have a role in drug resistance [9], although a number have other functions such as in the secretion of siderophores [10]. Other ABC systems with roles regulatory functions such as DNA repair [9] do not contain IM domains and often are comprised of two fused ABC domains (ABC2). ABC systems are also involved in toxin export and include the well-characterized system for haemolysin export in Escherichia coli [11, 12]. Recently, ABC system components have been identified as potential vaccine targets due their cellular location in or near bacterial membrane and their potential presentation to the host immune system [13].

The aim of this study was to carry out a detailed comparison of the ABC systems of the genomic sequencing strains B. pseudomallei strain K96243 and B. mallei strain ATCC 23344. Reconstruction of the annotation of the ABC systems using uniform classification was undertaken in order to give a precise prediction of ABC system complements. Data obtained has the potential to provide new insights into the types of proteins used for the survival and pathogenesis of these two related but functionally distinct organisms.

Results and Discussion

The original annotations of ABC systems in the genomes of B. pseudomallei strain K96243 and B. mallei strain ATCC 23344 are somewhat imprecise since a uniform nomenclature for these proteins was not used and functional assignment varied considerably. Here we describe the results of the reannotation and a comparison of the ABC systems of both organisms. New information about the predicted function of ABC systems along with similarities and differences between the organisms has been achieved through the use of the ABCISSE database. This approach has enabled an improvement in the identification and assignment of components of specific ABC systems with uniform annotation and classification. A significant advantage of this work, compared to the existing annotations, is the prediction of how the individual ABC system components combine to form functional systems. In particular, ABC system-associated proteins are included which are not encoded within short operons, but rather are shown to be part of a system on the basis of similarity to proteins with known or predicted function in a specific system type. A complete inventory of the ABC systems of B. pseudomallei strain K96243 and B. mallei strain ATCC 23344 is included as an additional file.

The ABC systems of B. pseudomallei

An analysis of the 7.2 Mb genome of B. pseudomallei strain K96243 revealed a total of 338 ABC system-associated open reading frames (ORFs) organised into 105 predicted functional ABC systems. Of these, 70 systems (66.6%) are encoded on chromosome 1 and 35 systems (33.3 %) are encoded on chromosome 2 (Figure 1). Chromosome 1 of B. pseudomallei K96243 represents 56% of the genome and contains a higher proportion of coding sequences (CDSs) than chromosome 2. Chromosome 1 also contains a higher proportion of CDSs predicted to be involved in core metabolic functions, whilst chromosome 2 preferentially encodes proteins with accessory functions [5]. Based upon the analysis undertaken here chromosome 1 of B. pseudomallei K96243 is predicted to encode 25 systems that belong to 19 different families (and subfamilies) which are not encoded on chromosome 2. In contrast, chromosome 2 encodes only two predicted systems that do not belong to families already encoded on chromosome 1.

Figure 1
figure1

Chromosomal distribution of ABC systems in B. pseudomallei K96243. a Families and subfamilies as described at the ABSCISSE database [34].

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The ABC systems of B. pseudomallei K96243 were classified according to the format described by Dassa and Bouige [9] including three main classes. Fourteen systems were ascribed to class 1 (Figure 1) which is characterised by an ABC domain fused to an IM domain and contains systems predicted to function in the export of substances from cells. Nine systems with a duplicated, fused ABC were found to belong to class 2, with predicted functions in antibiotic resistance via an undetermined mechanism or intracellular regulatory processes. However, the majority of ABC systems of B. pseudomallei K96243 (82 systems) were found to belong to class 3, predicted to function in import processes. These class 3 ABC systems could then be further subdivided. Sixty-one systems were predicted to be binding protein-dependent importers of known function and eleven systems were predicted to be importers but of unknown function. The remaining ten systems, although clustered phylogenetically in class 3, failed to show signature sequences indicative of known import functions.

The large number of systems encoded on the B. pseudomallei strain K96243 genome perhaps reflects the diverse environment in which the organism can survive [14]. The acquisition of genomic material, including additional ABC systems, during the evolution of B. pseudomallei may have enhanced the capacity of this organism to survive in different environments and in a range of mammalian hosts [4]. With the exception of one putative monosaccharide import system, disrupted by an apparent deletion of the ABC, the genome of B. pseudomallei strain K96243 was predicted to encode all of the systems present in B. mallei strain ATCC 23344 (see additional file 1). In addition, B. pseudomallei strain K96243 was found to have a further 29 predicted systems which are either absent or predicted to be inactive in B. mallei strain ATCC 23344 (see additional file 1). The analysis also indicated that some ABC systems may share the same function. This higher level of redundancy and larger number of ABC systems in B. pseudomallei compared to B. mallei ATCC 23344 may contribute to the ability of B. pseudomallei may contribute to survive in a range of environments and hosts.

The ABC systems of B. mallei

B. mallei strain ATCC 23344 has a genome size of 5.8 Mb and is predicted to encode a total of 275 ABC component proteins forming 77 different ABC systems. Of these, reannotation identified 54 systems (70%) encoded on chromosome 1 and 23 systems (30%) encoded on chromosome 2 (Figure 2). The class distribution of ABC systems in B. mallei ATCC 23344 was found to be similar to that observed in B. pseudomallei K96243 described above. Specfically, 11 ABC systems of B. mallei ATCC 23344 are predicted to belong to class 1, 9 systems belong to class 2 and have ABC 2 arrangement, and a total of 57 systems are predicted to belong to class 3. The distribution of class 3 systems was also similar to that identified in B. pseudomallei strain K96243 with 39 predicted import systems of known function, 10 predicted import systems of unknown function, and 8 systems classified phylogenetically as class 3 but without a predicted functional mechanism.

Figure 2
figure2

Chromosomal distribution of ABC systems in B. mallei ATCC 23344.

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B. mallei strain ATCC 23344 was found to have lost some or all of the apparent redundancy observed in B. pseudomallei K96243, especially for the uptake of polyamines, monosaccharides and polar amino acids, demonstrated by a reduced number of B. mallei ABC systems in the class 3 MOI, MOS and PAO families compared to B. pseudomallei (Figures 1 and 2). As stated above, B. pseudomallei strain K96243 encodes 27 more ABC systems than to B. mallei strain ATCC 23344 (see Table 1). Three of these ABC systems are located in the genome islands specific to B. pseudomallei strain K96243 [5] which suggest that they have been acquired since this organism diverged from B. mallei. Comparison of the reannotated ABC system inventories reveals that the B. mallei ATCC 23344 genome completely lacks 14 of the remaining 24 systems, whist another 7 systems are predicted to be inactive due to the deletion of a gene encoding one ABC component. Three other systems appear to be inactive due to the presence of a predicted pseudogene within the each system. Although some of the lost systems in B. mallei may be redundant due to the presence of other similar systems, the loss of other functional systems in B. mallei results in the complete absence of systems of particular families or sub-families. For example, B. mallei has no ABC systems for the uptake of pyochelin, polar amino acid, or alkylphosphonate (see additional file 1). Thus, it is possible that these allocrites may not be required by B. mallei in its reduced lifestyle compared to B. pseudomallei.

Table 1 ABC systems present in B. pseudomallei and absent in B. mallei
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Reannotation and phylogenetic classification of the ABC systems of B. mallei strain ATCC 23344 has enabled the prediction of new functions involved in lipid A, haemolysin or ornibactin export, drug resistance, lipoprotein release and the import of iron (III), oligopeptides, or aliphatic sulphonates for ABC systems previously annotated without predicted functions. Genome reduction in B. mallei compared to B. pseudomallei appears to have resulted in the loss of metabolic properties essential for environmental survival [3]. In this context, the reduction in the number of ABC systems encoded by B. mallei described here may reflect the organism's ability to survive in its specialized environment within an animal host and concomitantly its inability to survive in the environment.

ABC systems involved in virulence and drug resistance

Pore-forming toxins such as haemolysin have been previously identified as important virulence factors in a range of pathogens including Escherichia coli, Pseudomonas aeruginosa and Corynebacterium diphtheriae [15]. The genome of B. pseudomallei strain K96243 was found to encode three systems for the export of haemolysin from the cell as a result of the new reannotation and classification. The genome of B. mallei strain ATCC 23344 encodes orthologs of two of these systems. Interestingly neither B. mallei nor B. pseudomallei have demonstrated haemolytic activity and no haemolysins associated with these organisms have been characterized yet. Nevertheless, these results open the possibility that these Burkholderia strains may produce haemolysin-type macromolecules which, for example, could be expressed during the infection process within the host. Other macromolecules such as LPS and capsule polysaccharides have also been suggested to act as virulence factors in both B. mallei [16, 17] and B. pseudomallei [18–20], offering protection against antibody- and complement-mediated immune responses. Orthologs of ABC systems predicted to be involved in the export of capsular polysaccharide and LPS have been identified through reannotation as present in B. pseudomallei K96243 and B. mallei ATCC 23344 (see additional file 1).

The reannotation described here has identified both B. pseudomallei and B. mallei ABC systems with predicted roles in resistance to MLS (macrolides, lincosamide and streptogramin), polyketide (such as rifamycin) and peptide antibiotics (such as colistins). It is known that B. pseudomallei is intrinsically resistant to most penicillins (although not β-lactams), first and second generation cephalosporins, macrolides, rifamycins, colistins and aminoglycosides [21]. Similarly, B. mallei is also resistant to these antibiotics, with the exception of aminoglycosides [22]. The mutants which disrupt function of the B. pseudomallei Resistance-Nodulation-Cell Division (RND) superfamily BpeAB-OprA [23] and Amr-OprA [24] efflux systems have both been shown to increase the susceptibility of this organism to aminoglycosides. B. mallei lacks an Amr-OprA system which likely contributes to its sensitivity to aminoglycosides Comparisons of the ABC system inventories here also indicate that a B. pseudomallei ABC system predicted to be involved in antibiotic resistance, but with no predicted specificity, is mutated in B. mallei strain ATCC 23344. This mutation may also contribute to the difference in antibiotic sensitivities observed between B. mallei and B. pseudomallei (see additional file 1).

ABC systems involved in the iron acquisition

The reannotation and comparison of the ABC systems of B. pseudomallei strain K96243 and B. mallei strain ATCC 23344 reveals differences between the two organisms in the number of ABC systems potentially involved in the acquisition of iron.B. pseudomallei strain K96243 encodes eight predicted ABC iron acquisition systems whereas only four of these systems are present in B. mallei ATCC strain 23344 (Table 2). Two of these orthologous systems are predicted to be involved in the direct uptake of iron (III) from the environment, and the two other systems are predicted to be involved in iron acquisition using siderophores. About 15 years ago B. pseudomallei was shown to produce a siderophore, under iron-limiting growth conditions, which was named malleobactin [25]. It was subsequently shown that malleobactin acquires iron from transferrin and lactoferrin [26]. Recently, malleobactin was reisolated and shown, by mass spectrometry, to actually be composed of three compounds [27]. Though no chemical structures of these compounds have been determined yet, two of these compounds show characteristics similar to the ornibactins from Burkholderia cenocepaci a [27, 28]. Specifically, both B. pseudomallei K96243 and B. mallei ATCC 23344 have an ABC system annotated for export of ornibactin, and another system associated with the import of ornibactin (although annotated for the import of hemin, this system is predicted to interact with one of a number of siderophore receptors including the ornibactin receptor). A recent comparative microarray study revealed that under iron-limited growth conditions ABC systems predicted to be involved in the export of ornibactin and in the uptake of iron-ornibactin complexes are up regulated in both B. pseudomallei K96243 and B. mallei ATCC 23344 [29]. However, four ABC iron acquisition systems present in B. pseudomallei strain K96243 do not appear to be functional in B. mallei strain ATCC 23344. Two of these systems, predicted to function in the direct uptake of iron (III) and hemin from the environment, are disrupted by pseudogenes in B. mallei ATCC 23344. In addition, the import of iron bound to the siderophore pyochelin is predicted to be non-functional as a result of an apparent deletion of the pyochelin outer membrane receptor. Finally, an additional ABC system involved in the export of pyochelin to the extracellular environment is completely absent from the genome of B. mallei ATCC strain 23344. Notably, a global transcriptional analysis of RNA extracted from B. pseudomallei under iron-limiting conditions shows upregulation of a pyochelin receptor, as well upregulation of a siderophore receptor designated for the import of malleobactin [27] (see also Table 2). Furthermore, comparative microarray data also shows that in iron-limited growth conditions, pyochelin export and import systems are upregulated in B. pseudomallei K96243 but not in B. mallei [29]. The ability to scavenge iron is particularly important for the survival of intracellular pathogens due to the low levels available in the host cell environment. For example, Mycobacterium tuberculosis has been demonstrated primarily to survive within host macrophages and iron uptake through siderophores is required for growth and virulence in the macrophage [30]. Iron-dependent regulation of virulence has also been described for Pseudomonas aeruginosa, a close relative of B. pseudomallei, and involves the expression of siderophores during iron-limited conditions which upregulate the expression of other virulence factors, including haemolysin [31, 32]. In addition, iron overload conditions such as β-thalassaemia may predispose patients to infection with Salmonella enterica serotype Typhimurium and other intracellular pathogens [30]. It is known that the ability of B. pseudomallei to successfully establish an infection may be dependent on its ability to scavenge iron [33]. Thus, the comparatively reduced ability of B. mallei to scavenge iron using its ABC systems may correlate with the different lifestyle of this organism and may impact upon its virulence properties. A detailed investigation of the iron acquisition capabilities of B. mallei ATCC 23344 and B. pseudomallei K96243 and the influence of the ABC systems on virulence would enhance the understanding on the differences between these two organisms.

Table 2 Iron acquisition-associated ABC systems of B. pseudomallei and B. mallei.
Full size table

Conclusion

In this study the ABC systems of B. pseudomallei strain K96243 and B. mallei strain ATCC 23344 have been reannotated using the ABCISSE database in order to provide new information and a uniform annotation and classification of ABC systems in these organisms. The complete set of ABC systems in B. mallei and B. pseudomallei is now incorporated into the ABCISSE database [34]. The new annotation has enabled a more detailed comparison to be made of the numbers and types of ABC systems present in these pathogenic Burkholderia species. The greater number and redundancy of ABC systems in B. pseudomallei, including those systems associated with iron acquisition, may be indicative of ability of this organism to persist and replicate in a greater variety of environments when compared to B. mallei. It is also worth noting that genomes of these bacteria encode a large number of ABC systems when compared to the predicted numbers of ABC systems in other organisms [35].B. mallei is an obligate mammalian pathogen and as such is predicted to require a smaller number of ABC systems. B. mallei is a recent divergent from B. pseudomallei [6] and is undergoing a process of reductive evolution [5] resulting in a reduced genome, a reduced the number of ABC systems and limited ability to survive in a variety of niches compared to B. pseudomallei. Interestingly, this process of reductive evolution still leaves B. mallei with a considerably higher number of ABC systems (77 in total) compared to the average number of 45 for obligate extracellular bacteria [35].

The differences in ABC systems identified here from comparison the genomes of B. pseudomallei strain K96243 and B. mallei strain ATCC 23344 may also be exploited for the development of new diagnostic or clinical reagents specific for each organism. For example, the addition of primers targeted to the different ABC systems of each organism could add another layer of accuracy to the existing PCR-based tests which use type III secretion systems [36] or 23S rDNA [37] for identification. Furthermore, since ABC systems have also been identified as candidates for vaccine development [13], the selection of outer membrane ABC components from B. pseudomallei and B. mallei may represent good targets for the development of new vaccines designed to provide protection against melioidosis or glanders.

Methods

ABC systems in B. pseudomallei K96243 or B. mallei ATCC 23344 were identified on the basis of sequence homologies to proteins of ABC systems in other bacterial species. Proteins were classified according to their predicted roles as ABC system components. The complete CDSs (ORFs likely to encode proteins) of B. pseudomallei K96243[5]or B. mallei ATCC 23344[4] were used to query the ABCISSE v3.2 database [34] which includes ABC protein classification and predicted function based on similarity to proteins with experimentally derived function. The query was performed by using BLASTP [38], with a threshold e-value of 10-6. A hit from this search was predicted to belong to a given family (or subfamily) and to transport a specific allocrite if the top ten hits belonged to the family (or subfamily) and were predicted to transport a specific allocrite. An ABC system was defined as a series of contiguous ORFs that shared the same family, subfamily and substrate. Some additional ORFs were added to complete systems on the basis of their strong similarity to a partner in the system.

Some ABC systems were found to be located in the genome islands which were previously identified in B. pseudomallei K96243 [5]. The orthologous ABC system component proteins of B. pseudomallei K96243 and B. mallei ATCC 23344 were identified as proteins with > 90% identity when the ABC proteins of B. mallei ATCC 23344 were compared by BLASTP [38].

References

  1. 1.

    Cheng AC, Currie BJ: Melioidosis: Epidemiology, pathophysiology, and management. Clin Microbiol Rev. 2005, 18: 383-416. 10.1128/CMR.18.2.383-416.2005.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  2. 2.

    Srinivasan A, Kraus CN, Deshazer D, Becker PM, Dick JD, Spacek L, Bartlett JG, Byrne WR, Thomas DL: Glanders in a military research microbiologist. N Engl J Med. 2001, 345: 256-258. 10.1056/NEJM200107263450404.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Neubauer H, Sprague LD, Zacharia R, Tomaso H, Al Dahouk S, Wernery R, Scholz HC: Serodiagnosis of Burkholderia mallei infections in horses: state-of-the-art and perspectives. J Vet Med B Infect Dis Vet Public Health. 2005, 52 (5): 201-5. 10.1111/j.1439-0450.2005.00855.x.

    CAS  PubMed  Article  Google Scholar 

  4. 4.

    Nierman WC, Deshazer D, Kim HS, Tettelin H, Nelson KE, Feldblyum T, Ulrich RL, Ronning CM, Brinkac LM, Daugherty SC, Davidsen TD, Deboy RT, Dimitrov G, Dodson RJ, Durkin AS, Gwinn ML, Haft DH, Khouri H, Kolonay JF, Madupu R, Mohammoud Y, Nelson WC, Radune D, Romero CM, Sarria S, Selengut J, Shamblin C, Sullivan SA, White O, Yu Y, Zafar N, Zhou LW, Fraser CM: Structural flexibility in the Burkholderia mallei genome. Proceedings of the National Academy of Sciences of the United States of America. 2004, 101: 14246-14251. 10.1073/pnas.0403306101.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  5. 5.

    Holden MTG, Titball RW, Peacock SJ, Cerdeno-Tarraga AM, Atkins T, Crossman LC, Pitt T, Churcher C, Mungall K, Bentley SD, Sebaihia M, Thomson NR, Bason N, Beacham IR, Brooks K, Brown KA, Brown NF, Challis GL, Cherevach I, Chillingworth T, Cronin A, Crossett B, Davis P, Deshazer D, Feltwell T, Fraser A, Hance Z, Hauser H, Holroyd S, Jagels K, Keith KE, Maddison M, Moule S, Price C, Quail MA, Rabbinowitsch E, Rutherford K, Sanders M, Simmonds M, Songsivilai S, Stevens K, Tumapa S, Vesaratchavest M, Whitehead S, Yeats C, Barrell BG, Oyston PCF, Parkhill J: Genomic plasticity of the causative agent of melioidosis, Burkholderia pseudomallei. Proc Natl Acad Sci USA. 2004, 101: 14240-14245. 10.1073/pnas.0403302101.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  6. 6.

    Godoy D, Randle G, Simpson AJ, Aanensen DM, Pitt TL, Kinoshita R, Spratt BG: Multilocus sequence typing and evolutionary relationships among the causative agents of melioidosis and glanders, Burkholderia pseudomallei and Burkholderia mallei. J Clin Microbiol. 2003, 41: 2068-2079. 10.1128/JCM.41.5.2068-2079.2003.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  7. 7.

    Holland IB, Blight MA: ABC-ATPases adaptable energy generators fuelling transmembrane movement of a variety of molecules in organisms from bacteria to humans. Journal of Molecular Biology. 1999, 293: 381-399. 10.1006/jmbi.1999.2993.

    CAS  PubMed  Article  Google Scholar 

  8. 8.

    Higgins CF: ABC transporter: from microorganisms to man. Annu Rev Cell Biol. 1992, 8: 67-113. 10.1146/annurev.cb.08.110192.000435.

    CAS  PubMed  Article  Google Scholar 

  9. 9.

    Dassa E, Bouige P: The ABC of ABCs: a phylogenetic and functional classification of ABC systems in living organisms. Research in Microbiology. 2001, 152: 211-229. 10.1016/S0923-2508(01)01194-9.

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Koster W: ABC transporter-mediated uptake of iron, siderophores, heme and vitamin B-12. Research in Microbiology. 2001, 152: 291-301. 10.1016/S0923-2508(01)01200-1.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Gentschev I, Dietrich G, Goebel W: The E. coli alpha-hemolysin secretion system and its use in vaccine development. Trends in Microbiology. 2002, 10: 39-45. 10.1016/S0966-842X(01)02259-4.

    CAS  PubMed  Article  Google Scholar 

  12. 12.

    Holland IB, Kenny B, Blight MA: Haemolysin secretion from E. coli. Biochimie. 1990, 72: 131-141. 10.1016/0300-9084(90)90138-7.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Garmory HS, Titball RW: ATP-binding cassette transporters are targets for the development of antibacterial vaccines and therapies. Infect Immun. 2004, 72: 6757-6763. 10.1128/IAI.72.12.6757-6763.2004.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  14. 14.

    Dance DAB: Ecology of Burkholderia pseudomallei and the interactions between environmental Burkholderia spp. and human-animal hosts. Acta Trop. 2000, 74: 159-168. 10.1016/S0001-706X(99)00066-2.

    CAS  PubMed  Article  Google Scholar 

  15. 15.

    Parker MW, Feil SC: Pore-forming protein toxins: from structure to function. Prog Biophys Mol Biol. 2005, 88: 91-142. 10.1016/j.pbiomolbio.2004.01.009.

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Deshazer D, Waag DM, Fritz DL, Woods DE: Identification of a Burkholderia mallei polysaccharide gene duster by subtractive hybridization and demonstration that the encoded capsule is an essential virulence determinant. Microbial Pathogenesis. 2001, 30: 253-269. 10.1006/mpat.2000.0430.

    CAS  PubMed  Article  Google Scholar 

  17. 17.

    Burtnick MN, Brett PJ, Woods DE: Molecular and physical characterization of Burkholderia mallei O antigens. Journal of Bacteriology. 2002, 184: 849-852.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  18. 18.

    Atkins T, Prior R, Mack K, Russell P, Nelson M, Prior J, Oyston PCF, Dougan G, Titball RW: Characterisation of an acapsular mutant of Burkholderia pseudomallei identified by signature tagged mutagenesis. J Med Microbiol. 2002, 51: 539-547.

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Reckseidler-Zenteno SL, DeVinney R, Woods DE: The capsular polysaccharide of Burkholderia pseudomallei contributes to survival in serum by reducing complement factor C3b deposition. Infect Immun. 2005, 73: 1106-1115. 10.1128/IAI.73.2.1106-1115.2005.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  20. 20.

    Deshazer D, Brett PJ, Woods DE: The type II O-antigenic polysaccharide moiety of Burkholderia pseudomallei lipopolysaccharide is required for serum resistance and virulence. Molecular Microbiology. 1998, 30: 1081-1100. 10.1046/j.1365-2958.1998.01139.x.

    CAS  PubMed  Article  Google Scholar 

  21. 21.

    White NJ: Melioidosis. Lancet. 2003, 361: 1715-1722. 10.1016/S0140-6736(03)13374-0.

    CAS  PubMed  Article  Google Scholar 

  22. 22.

    Thibault FM, Hernandez E, Vidal DR, Girardet M, Cavallo JD: Antibiotic susceptibility of 65 isolates of Burkholderia pseudomallei and Burkholderia mallei to 35 antimicrobial agents. J Antimicrob Chemother. 2004, 54: 1134-1138. 10.1093/jac/dkh471.

    CAS  PubMed  Article  Google Scholar 

  23. 23.

    Chan YY, Tan TMC, Ong YA, Chua KL: BpeAB-OpRB, a multidrug efflux pump in Burkholderia pseudomallei. Antimicrob Agents Chemother. 2004, 48 (4): 1128-35. 10.1128/AAC.48.4.1128-1135.2004.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  24. 24.

    Moore RH, DeShazer D, Reckseidler S, Weissman A, Woods DE: Efflux-mediated aminoglycoside and macrolide resistance in Burkholderia pseudomallei. Antimicrob Agents Chemother. 1999, 43: 465-470.

    CAS  PubMed Central  PubMed  Google Scholar 

  25. 25.

    Yang H, Chaowagul W, Sokol PA: Siderophore production by Pseudomonas pseudomallei. Infect Immun. 1991, 59: 776-780.

    CAS  PubMed Central  PubMed  Google Scholar 

  26. 26.

    Yang H, Kooi CD, Sokol PA: Ability of Pseudomonas pseudomallei malleobactin to acquire transferrin-bound, lactoferrin-bound, cell-derived iron. Infect immun. 1993, 61: 656-662.

    CAS  PubMed Central  PubMed  Google Scholar 

  27. 27.

    Alice AF, López CF, Lowe CA, Ledesma MA, Crosa JH: Genetic and transcriptional analysis of the siderophore malleobactin biosynthesis and transport genes in the human pathogen Burkholderia pseudomallei K96243. J Bact. 2006, 188: 1551-1566. 10.1128/JB.188.4.1551-1566.2006.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  28. 28.

    Sokol PA, Darling P, Woods DE, Mahenthiralingam E, Kooi C: Role of ornibactin biosynthesis in the viurlence of Burkholderia cenocepacia characterization of pvdA, the gene encoding l-ornithine N5-oxygenase. Infect Immun. 1999, 67: 4443-4455.

    CAS  PubMed Central  PubMed  Google Scholar 

  29. 29.

    Tuanyok A, Kim HS, Nierman WC, Yu Y, Dunbar J, Moore RA, Baker P, Tom M, Ling JML, Woods DE: Genome-wide expression analysis of iron regulation in Burkholderia pseudomallei and Burkholderia mallei using DNA microarrays. FEMS Microbiol Lett. 2005, 252: 327-335. 10.1016/j.femsle.2005.09.043.

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    Collins HL: The role of iron in infections with intracellular bacteria. Immunol Lett. 2003, 85 (2): 193-5. 10.1016/S0165-2478(02)00229-8.

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Vasil ML, Ochsner UA: The response of Pseudomonas aeruginosa to iron: genetics, biochemistry and virulence. Mol Microbiol. 1999, 34: 399-413. 10.1046/j.1365-2958.1999.01586.x.

    CAS  PubMed  Article  Google Scholar 

  32. 32.

    Ulett GC, Currie BJ, Clair TW, Mayo M, Ketheesan N, Labrooy J, Gal D, Norton R, Smith CA, Barnes J, Warner J, Hirst RG: Burkholderia pseudomallei virulence: definition, stability and association with clonality. Microbes Infect. 2001, 3: 621-631. 10.1016/S1286-4579(01)01417-4.

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Ong C, Ooi CH, Wang DL, Chong HL, Ng KC, Rodrigues F, Lee MA, Tan P: Patterns of large-scale genomic variation in virulent and avirulent Burkholderia species. Genome Res. 2004, 14: 2295-2307. 10.1101/gr.1608904.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  34. 34.

    ABSCISSE Database. [http://www.pasteur.fr/recherche/unites/pmtg/abc/database.iphtml]

  35. 35.

    Harland DN, Garmory HS, Brown KA, Titball RW: An association between ATP binding cassette systems, genome sizes and lifestyles of bacteria. Res Microbiol. 2005, 156: 434-442. 10.1016/j.resmic.2004.12.002.

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Thibault FM, Valade E, Vidal DR: Identification and discrimination of Burkholderia pseudomallei, B-mallei, and B-thailandensis by real-time PCR targeting type III secretion system genes. J Clin Microbiol. 2004, 42: 5871-5874. 10.1128/JCM.42.12.5871-5874.2004.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  37. 37.

    Bauernfeind A, Roller C, Meyer D, Jungwirth R, Schneider I: Molecular procedure for rapid detection of Burkholderia mallei and Burkholderia pseudomallei. J Clin Microbiol. 1998, 36: 2737-2741.

    CAS  PubMed Central  PubMed  Google Scholar 

  38. 38.

    Altschul SF, Madden TL, Schaffer AA, Zhang JH, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402. 10.1093/nar/25.17.3389.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

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Author information

Affiliations

  1. Defence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK

    David N Harland, Richard W Titball & Helen S Atkins

  2. Départment de Microbiologie Fondamentale et Médicale, Institut Pasteur, Paris Cedex 15, France

    Elie Dassa

  3. Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK

    Richard W Titball

  4. Division of Cell and Molecular Biology, CMMI, Flowers Building, Imperial College London, London, SW7 2AZ, UK

    Katherine A Brown

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  1. David N Harland
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  2. Elie Dassa
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  3. Richard W Titball
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  4. Katherine A Brown
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  5. Helen S Atkins
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Correspondence to Katherine A Brown.

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Authors' contributions

DH participated in the conception, design and performance of bioinformatics studies and drafted the manuscript. ED contributed significantly to the design and performance of the bioinformatics studies. RT and KB participated in the conception of the study and critically revised the manuscript for important intellectual content. HA participated in the conception and design of the study and critically revised the manuscript for important intellectual content. This work was supported by Dstl. All authors have read and approved the final manuscript

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Harland, D.N., Dassa, E., Titball, R.W. et al. ATP-binding cassette systems in Burkholderia pseudomallei and Burkholderia mallei. BMC Genomics 8, 83 (2007). https://doi.org/10.1186/1471-2164-8-83

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Keywords

  • Colistin
  • Strain ATCC
  • Rifamycin
  • Iron Acquisition
  • Import System

BMC Genomics

ISSN: 1471-2164

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