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A Unique Set of the Burkholderia Collagen-Like Proteins Provides Insight into Pathogenesis, Genome Evolution and Niche Adaptation, and Infection Detection

  • Beth A. Bachert,

    Affiliation Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, West Virginia, United States of America

  • Soo J. Choi,

    Affiliation Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, West Virginia, United States of America

  • Anna K. Snyder,

    Affiliation Department of Biology, West Virginia University, Morgantown, West Virginia, United States of America

  • Rita V. M. Rio,

    Affiliation Department of Biology, West Virginia University, Morgantown, West Virginia, United States of America

  • Brandon C. Durney,

    Affiliation Department of Chemistry, West Virginia University, Morgantown, West Virginia, United States of America

  • Lisa A. Holland,

    Affiliation Department of Chemistry, West Virginia University, Morgantown, West Virginia, United States of America

  • Kei Amemiya,

    Affiliation Bacteriology Division, The United States Army of Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, Maryland, United States of America

  • Susan L. Welkos,

    Affiliation Bacteriology Division, The United States Army of Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, Maryland, United States of America

  • Joel A. Bozue,

    Affiliation Bacteriology Division, The United States Army of Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, Maryland, United States of America

  • Christopher K. Cote,

    Affiliation Bacteriology Division, The United States Army of Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, Maryland, United States of America

  • Rita Berisio,

    Affiliation Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy

  • Slawomir Lukomski

    Affiliation Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, West Virginia, United States of America

A Unique Set of the Burkholderia Collagen-Like Proteins Provides Insight into Pathogenesis, Genome Evolution and Niche Adaptation, and Infection Detection

  • Beth A. Bachert, 
  • Soo J. Choi, 
  • Anna K. Snyder, 
  • Rita V. M. Rio, 
  • Brandon C. Durney, 
  • Lisa A. Holland, 
  • Kei Amemiya, 
  • Susan L. Welkos, 
  • Joel A. Bozue, 
  • Christopher K. Cote


Burkholderia pseudomallei and Burkholderia mallei, classified as category B priority pathogens, are significant human and animal pathogens that are highly infectious and broad-spectrum antibiotic resistant. Currently, the pathogenicity mechanisms utilized by Burkholderia are not fully understood, and correct diagnosis of B. pseudomallei and B. mallei infection remains a challenge due to limited detection methods. Here, we provide a comprehensive analysis of a set of 13 novel Burkholderia collagen-like proteins (Bucl) that were identified among B. pseudomallei and B. mallei select agents. We infer that several Bucl proteins participate in pathogenesis based on their noncollagenous domains that are associated with the components of a type III secretion apparatus and membrane transport systems. Homology modeling of the outer membrane efflux domain of Bucl8 points to a role in multi-drug resistance. We determined that bucl genes are widespread in B. pseudomallei and B. mallei; Fischer’s exact test and Cramer’s V2 values indicate that the majority of bucl genes are highly associated with these pathogenic species versus nonpathogenic B. thailandensis. We designed a bucl-based quantitative PCR assay which was able to detect B. pseudomallei infection in a mouse with a detection limit of 50 CFU. Finally, chromosomal mapping and phylogenetic analysis of bucl loci revealed considerable genomic plasticity and adaptation of Burkholderia spp. to host and environmental niches. In this study, we identified a large set of phylogenetically unrelated bucl genes commonly found in Burkholderia select agents, encoding predicted pathogenicity factors, detection targets, and vaccine candidates.


Collagen structure is formed by three polypeptide chains of continuous repetitive Gly-Xaa-Yaa (GXY) sequence, each adopting left handed polyproline II type helices that combined form a right-handed superhelix [1]. It is a universal structure that is broadly found among members of all three domains of life. It is the most abundant protein in mammals where it harbors important structural functions in the extracellular matrix and in support of cell adhesion, differentiation and growth [2, 3]. The prokaryotic collagen was identified and studied more recently, and has similar GXY sequence and triple helical structure [48]. In mammalian collagens, proline (Pro) in the Y position is hydroxylated post-translationally and resulting Hyp (hydroxyproline) residues confer the maximum stability to the triple helix. As bacteria lack the prolyl hydroxylase required for these residues, bacterial collagens must be stabilized by other mechanisms, including increased proline content and electrostatic interactions between amino acid side chains [912]. Several bacterial collagen-like proteins have been shown to form stable triple helices, including streptococcal collagen-like proteins 1 and 2 of Streptococcus pyogenes [4, 13], rCLCp from Clostridium perfringens [14], and BclA of Bacillus anthracis [15, 16]. Bacterial collagen-like proteins are found in species that are pathogenic to humans and animals [58, 1622]. They are often surface-exposed and participate in important pathogenesis processes, including adherence and biofilm formation, host colonization and immune evasion [6, 7, 18, 19, 2330]. Several collagen-like genes have been evaluated as biomarkers for pathogen detection by targeting their conserved non-collagenous regions [31, 32] and for strain fingerprinting by targeting highly polymorphic repetitive collagen-like sequences [3235].

The Burkholderia species are ubiquitous in the environment but also include animal and plant pathogens. A group of 17 closely related species, designated B. cepacia complex organisms, cause pulmonary infections primarily in patients with cystic fibrosis [36]. Two other species, Burkholderia pseudomallei and Burkholderia mallei, are significant human and animal pathogens in endemic regions and also represent biowarfare threats. These bacteria have been classified as category B priority pathogens, in part due to their high infectivity, an intrinsic broad-spectrum antibiotic resistance, and previous use as biological weapons during wartime [37]. B. pseudomallei is a soil saprophyte endemic to southeastern Asia and northern Australia, which causes melioidosis in humans. Melioidosis has a variety of clinical outcomes, from localized skin infection to pneumonia and acute septicemia, as well as chronic illness with abscess formation in major organs [38]. As 50% of patients with septicemic melioidosis die within 48 hours, rapid diagnosis is crucial to patient survival [39]. B. pseudomallei has a large genome of about 7.2 Mb, which undergoes frequent horizontal gene transfer as evidenced by multiple genomic islands that differ between strains [40]. B. mallei is a closely related bacterium with a smaller genome, ~5.8 Mb [41]. It is the causative agent of glanders in horses and other animals that can be transmitted to humans. It has been demonstrated by multi-locus sequence typing analysis that B. mallei is a clonal derivative of B. pseudomallei [42], which has undergone significant genomic reduction and rearrangement during host-adaptation [41]. Consequently, B. mallei is unable to survive outside the host. B. mallei was one of the first microbes to be weaponized during World War I to infect livestock and humans [37]. A third closely related organism, B. thailandensis, is considered non-pathogenic for humans [43]. B. thailandensis is also a soil saprophyte with a large genome of ~6.7 Mb, which is endemic to geographical regions coinciding with B. pseudomallei [43, 44]; therefore, it is necessary to differentiate between the two species.

In this study, we identified and characterized an unexpectedly large set of 13 distinct Burkholderia collagen-like (bucl/Bucl) genes and proteins that are conserved in pathogenic B. pseudomallei and B. mallei species. We report the widespread presence of bucl genes in B. pseudomallei and B. mallei assessed by bioinformatics and analytical PCR, explore their phylogenetic relationships, infer important pathogenicity traits and antibiotic resistance mechanisms associated with Bucl proteins, and demonstrate the use of bucl genes as detection markers for these select agents in an animal model of infection.


Identification of Burkholderia collagen-like (bucl) genes

An increasing number of collagen-like proteins have recently been identified and studied in a variety of bacterial species, including Gram-positive pathogenic group A [58, 17], B (SL, unpublished data), C [20, 45] streptococci and pneumococci [18], bacilli and clostridia [16, 21, 32], as well as Gram-negative respiratory pathogen Legionella pneumophila ([19]; SL, unpublished data). Here, we assessed the presence and distribution of the collagen-like proteins among Burkholderia species in the Pfam collagen family database (PF01391). We identified a total of 85 sequences among the members of the Burkholderiaceae family, with 77 of these sequences designated Burkholderia collagen-like (Bucl) proteins, among various species of the Burkholderia genus. We next focused on 59 protein sequences found in three closely related species of Burkholderia, B. pseudomallei (Bp), B. mallei (Bm), and B. thailandensis (Bt) that we initially categorized into 16 (Bucl1-16) protein types, based on domain organization and GXY-repeat types in their collagen-like (CL) regions; subsequent refinement eliminated three Bucl types, resulting in 13 Bucl proteins 1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 15, and 16. To assess their distribution, nucleotide sequences of these 13 bucl genes were used as independent queries to BLASTn-search the NCBI nonredundant database. Though we observed collagen-like sequences in other Burkholderia species, this set of 13 bucl genes and proteins were unique to Bp, Bm, and Bt species.

Identification of bucl genes in Bp K96243, proof of principle

A BLAST search of bucl alleles from various strains against the genome sequence of the reference strain Bp K96243 revealed that all 13 bucl genes were present and were distributed around both chromosomes (Fig 1A). Six bucl genes were localized on chromosome one and seven bucl genes on chromosome two, and were found on both plus and minus strands (Fig 1A and 1B). The presence of each bucl gene in Bp K96243 genome was confirmed by PCR with primers targeting the noncollagenous regions (Fig 1C). Mapping of bucl genes in additional seven Bp and four Bm fully sequenced genomes revealed significant intra- and inter-species genomic rearrangements involving bucl loci (Fig 2). For example, the region encoding bucl genes 6, 8, and 10 in Bp 668 was inverted compared to Bp K96243 genome (Fig 2A). Additionally, we observed both rearrangements (Fig 2B and 2C) and deletions of bucl loci (Fig 2C) in Bm genomes, compared to Bp, which is consistent with Bm-genomic plasticity as well as the evolution of Bm from Bp through genome reduction [41, 46]. To further characterize the genomic organization of these strains, organizational patterns (OP) of bucl biomarkers were assigned according to their position and orientation on each chromosome (Table 1). In aggregate, chromosomal rearrangements occur more frequently on chromosome one (six distinct organizational patterns were observed for both Bp and Bm strains analyzed) compared to chromosome two (three organizational patterns observed). While only one major organizational pattern on chromosome 1, Ch1 OPII, was found exclusively among Bp strains, major organizational pattern on chromosome 2, Ch2 OPI, was found in both Bp and Bm genomes. All observed rearrangements were intrachromosomal in both species, indicating no exchange of genetic material involving bucl markers occurred between the chromosomes. In summary, consistent with bioinformatic data, we here confirmed by PCR the presence of all 13 bucl genes in Bp K96243. We also captured significant genomic plasticity of the Bp and Bm species by employing bucl markers.

Fig 1. Identification and characterization of bucl genes in B. pseudomallei reference strain K96243.

(A) Schematic representation of bucl distribution. Relative position and orientation of each bucl gene is shown; six bucl genes are present on chromosome one and seven on chromosome two. (B) Summary table of bucl distribution. bucl location, orientation, and length are mapped to the genome of Bp K96243. Molecular weight of each Bucl protein encoded by each bucl allele is shown. (C) PCR amplification of 13 bucl genes from Bp K96243. Primers were designed targeting the non-collagenous conserved regions, and PCR conditions were established for all bucl amplicons at a uniform annealing temperature of 64°C. Amplicon sizes; bucl1, 123 bp; bucl2 133 bp; bucl3, 166 bp; bucl4, 176 bp; bucl5, 216 bp; bucl6, 115 bp; bucl7, 264 bp; bucl8, 96 bp; bucl10, 109 bp; bucl13, 212 bp; bucl14, 178 bp; bucl15, 95 bp; and bucl16, 123 bp; M, 50-bp DNA size marker.

Fig 2. Chromosomal rearrangements and deletions involving bucl loci.

Relative positions and orientations of each bucl gene was rendered from the NCBI database, and used for chromosomal mapping. (A) Intraspecies chromosomal inversion (inv) between B. pseudomallei strains K96243 and 668 involving the region encoding bucl genes 6, 8, and 10. (B) Interspecies chromosomal inversion between Bp K96243 and Bm ATCC 23344 involving the region encoding bucl genes 2, 3, and 5 on chromosome 2. (C) Interspecies chromosomal inversion involving bucl genes 6, 8, and 15, and deletion of bucl10 between Bp K96243 and Bm ATCC 23344 on chromosome 1. Ch, chromosome.

Table 1. Assessment of genomic plasticity of B. pseudomallei and B. mallei using biomarkers.

Characterization of Bucl proteins

Overall characteristics of Bucl proteins were examined in a set of geographically diverse Burkholderia strains sequenced, including 13 Bp, 11 Bm, and 9 Bt strains (Table 2, Table 3). All 13 Bucl proteins identified contained a collagen-like region (CL) flanked by noncollagenous N- and C-terminal regions. The noncollagenous regions were conserved among all three species within each Bucl with sporadic length variations observed (Table 2). As expected, the CL regions of the same Bucl varied significantly in length between strains due to differing numbers of GXY repeats. For example, Bucl3 varied from 38 repeats to 63 repeats in different strains of Bp, Bm, and Bt (Table 2). The triplet usage was unique to each Bucl across species and usually one or two GXY-repeat types dominated each CL region. For example, Bucl1 and Bucl8 contained exclusively GAN and GAS repeats, respectively, while Bucl3 contained predominantly GTS repeats and Bucl10 had predominantly GIH triplets.

In order to assess whether the Bucl proteins will form collagen-like triple helices, stability predictions were performed on representative Bucl-CL amino acid sequences. GXY repeat number in Bucl proteins varies from 2 in Bucl14 to 63 in Bucl3 (Table 2). Stability of the predicted collagenous regions of each Bucl was computed using an approach derived from host-guest peptide studies [47]. Examination of the stability profiles shows highest stabilities for Bucl2, Bucl5, Bucl13, and Bucl15, with predicted melting temperatures ranging between 35–38°C, while all other Bucl proteins had melting temperatures between 20–35°C (Fig 3). Transmembrane regions were predicted in CL domains of Bucl proteins 4, 6, 7, 8, 14, 15, and 16, whose stability ranks low (Fig 3). Hydrophobic interactions occurring in a membrane environment likely stabilize these triple helices.

Fig 3. Thermal stability of the Bucl collagen regions.

(A) The CL region sequences, representative of all 13 Bucl proteins, plotted in B) are shown with averaged stability values calculated for the entire CL region. (B) Triple helix thermal stability plot. Amino acid sequences for Bucl-CL regions shown in A) were used to model thermal stability with an algorithm developed by Persikov et al. 2005. Relative thermal stability is shown as the melting temperature for each GXY triplet along each Bucl-CL region.

Structural Predictions

In addition to the CL region, four Bucl proteins were predicted to contain putative domains proven to participate in pathogenesis in other bacterial species (Table 2, Fig 4A). Bucl3 contains a putative Talin-1 domain; Talin-1 is a cytoskeletal protein that binds and activates integrins in mammals and talin-1-integrin interaction links the cytoskeleton with the extracellular matrix, allowing cell adhesion and migration [4850]. Bucl4 contained a Bac_export_1 domain (Bacterial export proteins, family 1; PF01311) found in members of type III secretion protein family, including the SpaR of Shigella and Salmonella, and the YscT of Yersinia. These proteins form the inner-membrane part of the needle complex, which transports bacterial effector proteins to afflict host cells. Bucl8 contained the OEP domain; the members of outer membrane efflux protein family (PF02321) form channels that allow export of various compounds, including anti-microbial agents, in Gram-negative bacteria across the outer membrane [51]. Bucl13 contained a SBP_bac_3 domain (Bacterial extracellular solute-binding proteins, family 3; PF00497), which is found in periplasmic proteins that bind specific solutes within the periplasmic space and are often associated with ABC-type transporters [52].

Fig 4. Characterization of Burkholderia collagen-like proteins.

(A) Architecture of Bucl proteins identified in collagen Pfam data base (not to scale). Proteins were categorized into 13 distinct Bucl types based on sequence similarities and domain organization. Predicted domains in each Bucl are shown: SS, signal sequence; CL, collagen-like domain; Talin-1 domain; Bac_export_1, bacterial export protein family 1; OEP, Outer Membrane Efflux Protein; and SBP_bac_3, bacterial extracellular solute-binding protein family 3. (B) Cellular organization of Bucl8 and homology modelling of the OEP domains. Bucl8 protein schematic is shown above homology model of OEP domains generated with MODELLER. Three monomers, each containing two OEP domains, assemble to form a homotrimer. Shown from top to bottom are the cell-surface exposed loops, the β-barrel spanning the outer membrane and the α-barrel spanning the periplasmic space, corresponding to the predicted OEP domains. The two OEP domains from a single monomer are highlighted in orange and purple, and the remaining monomers are colored gray. Following the OEP domains, the CL region is predicted to be partially extracellular with an additional C-terminal non-collagenous domain.

Signal sequences were predicted in Bucl proteins 3, 4, 8, and 15, additionally supporting extracellular location for Bucl4 and Bucl8 (Table 2). Most Bucl proteins had transmembrane regions, interestingly, often associated with the CL regions (Table 2).

Modeling of the OEP domains in Bucl8

The OEP domains found in Bucl8 are inferred in the formation of an efflux pump, thus, contributing to multi-drug resistance of Bp and Bm species [53]. Two tandem OEP domains were predicted with high confidence (E-values 7x10-22 and 4.5x10-18). The Bucl8 is also predicted to be a lipoprotein with an amino-terminal lipid-binding cysteine residue and a transmembrane region predicted with TMpred [54].

HMM search in the PDB database using Bucl8-OEP region as a query identified closest similarity (E-value = 6.6x10-53) to the drug discharge outer-membrane lipoprotein OprM of P. aeruginosa [55, 56]. Using OprM structure as a template (pdb code 3d5k, sequence identity 27%), the model of Bucl8 was generated with MODELLER 9 v.9 [57].

The OEP domains of Bucl8 form a trimeric structure containing the characteristic α-barrel, which spans the periplasmic space, and the β-barrel, which spans the outer membrane (Fig 4B). In OprM, the β-barrel is known to anchor the protein to the outer membrane, and also contains a series of surface exposed loops that are involved in constriction of the β-barrel pore, thereby preventing influx of xenobiotics at the resting state [56, 58]. The α-barrel contains an arrangement of twelve short helices and six long helices that form a bundle which is constricted at both ends but contains a bulge in the middle that can accommodate antibiotics. Twisting of the helices to loosen the pores forms a funnel-channel structure allowing for the active transport of antibiotics across the outer membrane outside of the bacterial cell [56].

The bucl8 gene was found in all Bp and Bm strains tested by PCR and bioinformatics (Table 4), signifying the potential importance of Bucl8-efflux pump in the survival and pathogenesis of these species. Interestingly, all Bt strains analyzed contained DNA sequence homologous to the OEP-domain of Bucl8 in Bp and Bm but lacked the sequence corresponding to the Bucl8-collagenous domain; thus, it could not be recognized as a true Bucl. Additionally, a single nucleotide insertion at position 52, directly preceding the OEP-encoding region, was found, causing a frameshift mutation, which resulted in an altered amino acid downstream sequence.

Table 4. Distribution of all bucl genes in Burkholderia spp. as assessed by bioinformatics and PCR amplificationa.

Phylogenetic analyses of bucl genes

To better understand the relationship of bucl genes among Burkholderia spp., parsimony and model-based phylogenetic analyses were performed. All 13 bucl sequences, originally identified in collagen Pfam database, were BLASTn-searched against completed genomes of Bp, Bm, and Bt, and each bucl sequence was downloaded. The 13 bucl genes demonstrate no sequence similarity, indicating these are non-homologous genes, whereas alleles encoding the same bucl gene were orthologous across species. Nucleotide sequence alignments were generated for each bucl gene present in 13 Bp and 11 Bm strains; analysis of bucl3 and bucl4 also included 9 Bt strains (S1 data set). Pairwise alignments of each bucl among the different strains revealed that percent identities ranged from 42%-100%, with the average percent identity for each bucl ranging from 76.5–94.9% (S2 data set). In general, the non-collagenous regions of bucl genes were conserved, while the CL regions showed significant length polymorphisms. Consequently, the bucl1 phylogeny based on non-CL region sequence produced a star pattern, while the bucl1 phylogeny generated based on the entire bucl1 sequence showed more extensive branching patterns, most of which were supported by Bayesian Posterior Probability values and several of which were also supported by maximum parsimony bootstrap values (S1 Fig). The CL region of bucl1 encodes a single GAN-repeat type, therefore, the only difference between bucl1 alleles from different strains represented in this tree arises from different GAN-repeat numbers. Since this is a common feature of all bucls, and incorporation of these regions would likely lead to long branch attraction, only the non-CL regions were used in further analyses. Multiple sequence alignments of bucl genes 2, 5, 6, 7, 10, 13, 14, 15 and 16 showed highly conserved nucleotide sequence, similar to bucl1, therefore phylogenetic analysis was not performed.

Phylogenetic trees were generated for individual and concatenated bucl3, bucl4, and bucl8, as these genes were present in all three species and contained the most informative characters. We included the OEP-encoding sequence of bucl8 from Bt strains in this analysis, despite the lack of CL-encoding sequence and conserved frameshift mutation, because of significant sequence similarity to bucl8-OEP sequences shared with Bp and Bm. The phylogeny generated from concatenated sequences showed similar associations as phylogenies for the individual genes, although usually with higher statistical support. All analyses showed Bp and Bm strains were more closely related to each other than to Bt strains, which formed a main separate branch (Figs 5 and 6, S2 Fig). This observation is consistent with the hypothesis that the pathogenic Bp and Bm strains diversified from Bt [42, 5961]. On the concatenated tree, Bm strains formed a single clade without further resolution that was strongly supported by both Bayesian posterior probability (PP, 100) and maximum parsimony (MP, 100) bootstrap values (Fig 5). This observation indicates either inadequate time for the diversification of Bm strains or purifying selection for the retention of nucleotide identity due to importance in adapting to its host pathogen niche [41]. In contrast, Bp strains exhibited higher diversification as shown by the presence of multiple clades. Four supported clusters were observed, two of which, Cluster 1 and Cluster 4, showed geographical associations as these strains were all Australian isolates. Cluster 1 (PP 98, MP 100) contained Bp strains 20B16, MSHR146, MSHR511, and NCTC 13178, all isolates obtained from Australia. Cluster 2 (PP 58, MP 100) contained Bp strains NCTC13179 and 1026b, isolated from human infections in Australia and Thailand, respectively. Cluster 3 (PP 100, MP 100) contained Bp strains 1106a and BPC006, obtained from northeast Thailand and China, respectively. Finally, Cluster 4 (PP 100, MP 100) contained Bp strains MSHR305 and MSHR520, which are both human infection isolates from Australia. Clusters 1 and 4 were also supported by trees based on individual bucl3, bucl4, and bucl8 genes, although strain NCTC 13178 as part of Cluster 1 was only supported by the tree based on bucl4 (Fig 6, S2 Fig). Similar to Bp, Bt strains showed significant diversification as evidenced by the formation of three supported clusters in the concatenated tree. These clusters were numbered consecutively Cluster 5, Cluster 6, and Cluster 7 (Fig 5). Clusters 5 and 7 were supported by individual bucl3 and bucl4 phylogenies (Fig 6), while only Cluster 5 was supported by bucl8 phylogeny (S2 Fig). Analysis performed using amino acid sequences of Bucl proteins generated phylogenetic trees with similar patterns, though the support values were lower (S3 Fig), indicating many of the nucleotide changes were synonymous.

Fig 5. Phylogenetic analysis of B. pseudomallei, B. mallei, and B. thailandensis strains by bucl-locus typing.

Bayesian analysis was performed on concatenated nucleotide sequences of the non-collagenous regions of bucl3, bucl4, and bucl8 present in a set of 13 B. pseudomallei, 11 B. mallei, and 9 B. thailandensis strains (as shown in Table 3). Support values for each branch are shown as posterior probability from Bayesian analysis and bootstrap values from maximum parsimony analysis, respectively (PP/MP). Posterior probability value which was not supported by maximum parsimony analysis is shown in red. Phylogenetic Clusters 1–4 (C1-C4) correlated with geographic location of B. pseudomallei strains, whereas Clusters 5–7 (C5-C7) contained B. thailandensis strains that made up a separate branch from B. pseudomallei and B. mallei strains. Scale bar is representative of evolutionary distance in substitutions per nucleotide.

Fig 6. Phylogenetic analysis of B. pseudomallei, B. mallei, and B. thailandensis strains using individual bucl3 and bucl4 genes.

Bayesian analysis was performed on nucleotide sequences of non-collagenous regions of a set of Burkholderia strains described in Table 3. Support values for each branch are shown as posterior probability from Bayesian analysis and bootstrap values from maximum parsimony analysis, respectively (PP/MP). Posterior probability values not supported by parsimony analysis are shown in red. Scale bar is representative of evolutionary distance in substitutions per nucleotide. Several clusters of strains corresponding to those observed in the concatenated analysis, C1-C7 in Fig 5, were also observed in the individual trees.

Overall, most bucl genes were highly conserved among Bp and Bm with most of the variation occurring in the CL region due to differing numbers of GXY repeats. Variation in non-CL regions of bucl3, bucl4, and bucl8 revealed divergence between Bt and select agents Bp and Bm, as well as diversification among Bt strains. Bp and Bm appear more closely related, but only Bp strains showed diversification across the bucl loci by the formation of multiple distinct clades with strong statistical support.

Assessment of bucl distribution across Burkholderia spp.

In order to assess the distribution of bucl genes across Burkholderia, nucleotide BLAST searches were performed using bucl-gene sequences from the reference strain Bp K96243, as queries against completed genomes of 13 Bp, 11 Bm, and 9 Bt strains. All 13 bucl genes were present in all Bp genomes, while the majority of bucl genes were maintained within Bm genomes (Table 4). Up to three bucl genes were missing in 8 Bm genomes, which is consistent with the reduced genetic material in this species [41, 46]. In contrast, only complete open reading frames of bucl3 and bucl4 were present in Bt genomes, presumably encoding a lipoprotein with a putative Talin-1 domain and a type III secretion inner membrane protein (Table 2, Fig 4A), respectively.

In addition to bioinformatic data, we tested distribution of bucl genes by standard PCR in a collection of genomic DNA from 25 Bp and 20 Bm strains, as well as the DNA from non-select agent controls 4 Bt, 3 B. cepacia (Bc), 5 B. cenocepacia (Bce), and 6 B. multivorans (Bmv) strains (Table 5, Table 6). Consistent with bioinformatic data, virtually all 25 Bp strains were found to contain all 13 bucl genes, with the exception of strain China 3 (BpCh3) which was missing bucl1 and bucl4 (Table 4, Fig 7, S4 Fig). Almost all Bm strains tested (15 out of 20) were lacking up to three bucl genes, in agreement with bioinformatic results. We calculated bucl frequencies as the proportion of Bp and Bm strains positive for each bucl, as tested by both PCR and bioinformatics. High frequencies were observed for bucl3, bucl4, bucl7, and bucl15 (0.90–0.98), while lower frequencies were observed for bucl2 (0.85) and bucl10 (0.82). The bucl2 and bucl10 genes were most frequently absent from Bm strains, missing in about one-third of strains analyzed, indicating these genes are nonessential for Bm survival in mammalian host. Finally, all Bt strains contained only bucl3 and bucl4, while no amplification of these two bucl genes was obtained for other control Burkholderia spp. (Table 4, Fig 7, S4 Fig).

Fig 7. Distribution of bucl genes among Burkholderia spp. select agents by PCR.

Presence of bucl genes was assessed by PCR on (A) a collection of genomic DNA from 25 B. pseudomallei and 16 B. mallei strains, as well as (B) in control strains of B. thailandensis, B. cepacia, B. cenocepacia, and B. multivorans; selected bucl genes 5, 13, 14, and 16 are shown. (C) Detection and separation of selected bucl amplicons generated from the B. pseudomallei reference strain K96243 by traditional 2% agarose gel electrophoresis (left) or by capillary gel electrophoresis (right). Electropherogram generated by capillary gel electrophoresis with phospholipid nanogel matrix shows separation of amplicons over time. Amplicon sizes: bucl5, 216 bp; bucl13, 214 bp; bucl14, 178 bp; and bucl16, 123 bp. M, 50-bp DNA ladder. PCR data shown in Panel A for 25 Bp strains come from two merged gel images.

We next evaluated the association of bucl presence with pathogenicity among Bp, Bm, and Bt strains. The Fisher Exact Probability Test and Cramer’s V analysis were performed on the number of bucl genes present and absent among two groups: 1) pathogenic Bp and Bm strains and 2) nonpathogenic Bt strains. The Fisher test provides a measure of the statistical significance between two groups, and Cramer’s V squared (V2) is a value, which measures the degree of association between two variables on a scale of zero (no association) to one (perfect association). The Fisher test showed significant differences between group 1 and 2 for all bucl genes, except for bucl3 and bucl4, indicating the presence of collagen-like genes is significantly associated with pathogenic B. pseudomallei and B. mallei species as compared with non-pathogenic B. thailandensis (Table 4). Further calculation of Cramer’s V2 showed perfect association (V2 = 1) for bucl genes 5, 6, 8, 13, 14, and 16 that were present in all Bp and Bm strains, while absent in all Bt strains. High V2 values were calculated for bucl1 (V2 = 0.829), bucl7 (V2 = 0.829), and bucl15 (V2 = 0.908), indicating positive association with these bucl genes with pathogenic Bp and Bm, as compared with nonpathogenic Bt lacking them. The remaining bucl genes, 2, 3, 4, and 10, had little or no association with pathogenic Bp and Bm compared to Bt (V2<0.5). Hence, our statistical analyses strongly infer association between the presence of the majority of Bucl proteins and pathogenicity.

Detection of Burkholderia select agents by analytical PCR

Four conserved amplicons generated from bucl genes that were uniformly found in all Bp and Bm strains, but were absent in Bt, Bc, Bce, and Bmv strains, were assessed for select agent detection by standard agarose gel electrophoresis and capillary gel electrophoresis: bucl5 (216 bp), bucl13 (212 bp), bucl14 (178 bp), and bucl16 (123 bp) (Fig 7C). Size-identification of bucl-based amplicons by capillary gel electrophoresis was performed in a 10% phospholipid nanogel, allowing near single base pair resolution [62], including bucl5 and bucl13 amplicons that differ by 4 bp. Sizing of the target DNA fragments was accomplished by linear regression analysis for DNA size (in bp) versus migration time. The bucl gene amplicon sizes were calculated using the linear fit obtained for the migration times of internal standards with lengths of 100 bp and 250 bp, and the standard deviation calculated from 5 replicate measurements. The bias is calculated as the difference between the true fragment size and the measured size. Sizing results are reported as follows for n = 5 separations: [gene name (true size): calculated size ± standard deviation, percent relative size bias defined as bias divided by the true size]; bucl5 (216 bp): 218 ± 2 bp, 0.9%; bucl13 (212 bp): 215 ± 1 bp, 1%; bucl14 (178 bp): 181 ± 1 bp, 2%; bucl16 (123 bp): 120 ± 1 bp, 2%.

Detection of Burkholderia select agents by quantitative PCR

Identification of molecular targets for Burkholderia select agents is challenging due to the high genomic plasticity reported in these organisms that include significant genomic rearrangements and deletions. PCR assays developed for Burkholderia detection include BurkDiff, a dual-probe assay able to detect and differentiate Bp and Bm [63, 64], and the TTS1 assay targeting orf2 of type three secretion system I, detecting Bp only [6466]. Here, we developed a qPCR assay for the detection of Bp and Bm based on bucl16 target. A locked nucleic acid hydrolysis probe specific for bucl16 gave robust amplification using DNA of Bp K96243 (Cq = 21.85±1.37). This probe was then tested against the genomic DNA collection, providing amplification of all Bp and all Bm strains, with no amplification from non-select agent controls including Bt, Bce, and Bmv, as well as a no DNA template control (Fig 8A). 30 ng of DNA was used for each strain and Cq values ranged from 23.42–29.05.

Fig 8. Detection of B. pseudomallei and B. mallei by qPCR.

(A) Real-time qPCR detection of bucl16-gene target. Genomic DNA of 25 B. pseudomallei (red) and 15 B. mallei strains (blue), and control DNA from 4 B. thailandensis, 4 B. cenocepacia, and 6 B. multivorans strains (gray). (B) qPCR detection of bucl16 target in the presence of human plasma and in spleen extracts from infected mice. 25 ng of gDNA from Bp K96243 was used as a positive control (blue line). Amplification of bucl16 in qPCR reaction spiked with 5% human plasma is shown (green line). Mice were infected with Bp HBPUB10134a and CFU counts used in each qPCR reaction were based on plating spleen extracts on blood agar. Positive amplification is shown for spleen samples with 5x104 CFU (red lines: square, undiluted; triangle, 1:10 dilution; circle, 1:100 dilution; diamond, 1:1000 dilution) and 5x103 CFU (gray lines: square, undiluted; triangle, 1:10 dilution), while no amplification was obtained for crude spleen samples with original 2x102 CFU and 10 CFU per reaction and no template control, NTC (black lines). Inset; amplification of bucl markers 5, 13, 14, and 16 by standard PCR using crude spleen samples containing 5x104 CFU per reaction. M, 50-bp DNA ladder.

We next tested the bucl16-based qPCR assay towards detection of an infection with Burkholderia select agents by employing samples spiked with human plasma, and with samples obtained from experimental animals. PCR reactions performed with 30 ng Bp K96243 DNA and spiked with 5% human plasma produced positive amplification with average Cq = 24.28±2.14 (Fig 8B), whereas reactions spiked with 10% and 20% human plasma produced averaged Cq = 25.89±1.76 and Cq = 27.96±1.82, respectively.

Next, Bp strain HBPUB10134a was used for the detection of Burkholderia infection in vivo. Our recent studies have shown that Bp HBPUB10134a was the most virulent in the intraperitoneal infection model among a panel of 11 Bp strains, with an LD50 of 10 CFU at day 21 post-infection [67]. Following the injection, mice presented common clinical manifestations, including abscess and pyrogranuloma formation in the spleen and liver, and in some cases lesions and inflammation in the eyes and tail. A common pathological observation was the loss of rear limb function occurring between 6 and 30 days post-infection, associated with the pyrogranulomatous inflammation in the skin, skeletal muscle, bone, and peripheral nerves in the hind limbs. Here, mice that were injected intraperitoneally, were euthanized and sampled after 3, 7, or 14 days postinfection. Homogenized spleen samples were plated on blood agar to assess bacterial loads and 1 μL samples of irradiated sterile spleen extracts were used directly in qPCR reactions. Four samples, with original bacterial loads of 5x107, 5x106, 2x105, and 103 CFU/ mL, thus, presumably corresponding to 5x104, 5x103, 2x102, and 10 CFU per 1 μL added to each qPCR reaction, respectively, were tested using our bucl16-based assay. When crude spleen extracts were used in qPCR, positive detection was obtained for 5x103 CFU and 5x104 CFU samples with averaged Cq values of 29.49±1.67 and 26.39±1.71, respectively (Fig 8B). Importantly, we observed that 1:10 dilution of the sample containing 5x104 CFU/ μL, resulted in improved amplification, as evidenced by lower Cq value (23.32±0.42), while 1:100 dilution resulted in similar amplification as undiluted crude sample (Cq = 27.23±1.10) (Fig 8B, red curves). Further 1:1000 dilution of spleen extract provided detection level as low as 50 CFU per reaction with a Cq value of 32.63 ±1.57. On the other hand, 1:10 dilution of the sample originally containing 5x103 CFU/ μL resulted in poorer amplification (Cq = 32.66±2.46) than crude undiluted sample (gray curves). We think that crude spleen extracts contained varying levels of inhibitors that differentially affected amplifications in these two samples. Finally, in addition to bucl16, bucl genes 5, 6, 8, 13, and 14 that were found in all Bp and Bm strains are similarly good candidate markers for the development of diagnostic qPCR assays.


Traditionally, collagen has been associated with multicellular animals, although, the number of collagen-like proteins identified in bacterial genomes has recently increased with 2554 sequences currently (search on 04/12/15) deposited in the Pfam collagen data base. The distribution of these collagen-like proteins is not uniform, however; they are absent in some bacteria and are overrepresented in other species. Here, we identified and characterized a group of 13 discrete collagen-like proteins in Burkholderia, referred to as Bucl, which are largely found in the pathogenic Bp and Bm species. Furthermore, we found that bucl genes provided important clues on the genomic plasticity and evolution of Burkholderia select agents. We observed Bucl proteins contained domains that are known to be involved in pathogenesis and antibiotic resistance, including an outer membrane efflux protein which we modelled. Finally, we utilized bucl genes as detection targets and successfully detected Bp infection in a mouse model.

Characterization of Bucl-CL Region

Collagen-like sequences, embedding the typical repetition of triplets of the type Gly-X-Y [2, 6870] have been identified in all Bucl sequences. We observed that for each Bucl, one or two GXY types predominated the CL region. This limited variation in GXY content resembles that seen in Bcl proteins of Bacillus anthracis [32] but is in contrast to Scl proteins of Streptococcus pyogenes, whose GXY sequence varies significantly within the CL region [13]. Typical of prokaryotic collagens, these sequences do not contain triple-helix-stabilizing hydroxyprolines, since bacteria lack the prolyl-hydroxylase enzyme necessary for post-translational modification of Pro to Hyp. The highest triple helix stabilities were predicted for Bucl2, Bucl5, Bucl13 and Bucl15, within the range of 35–38°, which is similar to that of previously studied bacterial collagens as well as human collagen [11, 13, 71, 72]. Similar to the CL regions of other prokaryotic proteins, like Scls from S. pyogenes [7, 8], the CL regions of these proteins share the common characteristics of possessing charged residues GEX, GLE and GXR triplets, respectively (Fig 3, Table 2). Indeed, ion pairs play a major role in stabilizing the triple helix, with an enthalpic stabilization, which likely involves interactions of polar groups with an ordered hydration network [9, 10, 12]. Additionally, specific GXY triplets were found to have favorable enthalpy values, corresponding to increased hydrogen bonding potential, including GPE [71], which is a common GXY triplet in the Bucl5 CL region. These regions are likely to be of biological importance in establishing interactions with charged counterparts. Interestingly, bacterial collagens have been shown to have relatively high proline content, 20% in S. pyogenes and up to 40% in B. anthracis [11], especially in the X position [73], whereas Bucl proteins lack Pro residues; only Bucl5 contains GPE repeats, likely contributing to its predicted high stability. Other Bucl proteins with lower thermal stability may rely on the hydrophobic membrane environment for triple helix stabilization, as those were predicted to have transmembrane regions, especially within the CL regions. Stability predictions shown here were computed using long CL sequences, whereas some Bucl variants had short CL regions, which may not form triple helices. This is substantiated by the fact that few triplets may also exist in other folds e.g., G5 domain, whose structure presents a pseudo-triple helix [74]. In summary, while overall characteristics of the Bucl proteins we identified were similar to previously described bacterial collagen-like proteins, i.e., presence of collagenous and non-collagenous domains and length variation in collagen region, the GXY content observed in Bucls was unique and likely impacts the structural stability of the Bucl-CL triple helix.

Characterization of Bucl non-collagenous domains and their inferred roles in Burkholderia pathogenesis

It has been observed that collagen-like proteins are often surface associated. Indeed, among 53 bacterial and viral collagen-like proteins analyzed in an initial genome-based study, 16 were annotated as cell-wall attached or membrane associated [73]. Additionally, surface expression of collagen-like proteins including Scls of S. pyogenes, PclA of S. pneuomonia, and Lcl of L. pneumophila, has been demonstrated experimentally [7, 8, 18, 19]. Structural predictions performed for Bucl proteins revealed that their majority, 10 out of 13, have transmembrane regions, supporting the location of Bucl proteins in the inner or outer membrane of Burkholderia spp. Moreover, four of these proteins were predicted to contain both signal sequences and transmembrane domains, further supporting surface association. Further non-collagenous features include well-conserved domains (in Bucl3, Bucl4, Bucl8 and Bucl13), which are inferred in pathogenesis.

Bucl3 was predicted to have a Talin-1 domain. Talin-1 in eukaryotes is known to bind and activate integrins as well as link the cell cytoskeleton to the extracellular matrix [50]. Cell-to-cell invasion by Burkholderia is largely achieved by the disruption of the host cytoskeletal network, as well as the fusion of host cells resulting in the formation of multinucleated giant cells, mediated mainly by type III and type VI secretion systems [75, 76]. The intra- and inter-cellular spread is facilitated by the formation of actin tails which propel the bacterial cells. Thus far, several type III secretion effector proteins are known to be involved with host actin polymerization allowing cell invasion, including BimA, BopE, and BipD [43]. The putative Talin-1 domain found in Bucl3 may also be involved in interactions with host actin that allow for cell invasion or the formation of actin tails during infection.

The Bucl4 protein is putative inner membrane protein part of the type III secretion T3SS-2 system [77]. There are three known type III secretion gene clusters (T3SS-1, T3SS-2, and T3SS-3) distributed among Bp, Bm, and Bt species. T3SS-1 is specific to Bp while T3SS-2 and 3 are found ubiquitously in all three species [78]. The T3SS-3 is known to be important for virulence in Bp [44, 75, 79], as mutants deficient in the T3SS-3 have reduced replication in host cells, and are unable to escape endocytic vacuoles, and to form membrane protrusions and actin tails [80]. The other two secretion systems are less well characterized, and the role of the T3SS-2 secretion system in pathogenesis is not known. The unique association of a collagenous domain with Bac_export_1 domain in this inner membrane protein of T3SS-2 has not been previously acknowledged.

Bucl13 contains the SBP_bac_3 domain, and is predicted to be a bacterial periplasmic solute binding protein. Binding of the solute causes a conformational change, which allows interaction of the solute with inner membrane proteins and subsequent transport of the solute into the cell. Family 3 solute-binding proteins are known to bind polar amino acids and opines [52], therefore Bucl13 is likely associated with amino acid transport; interestingly, Bucl13 is present in all Bp and Bm strains tested, while it is absent in non-pathogenic Bt. Bucl13 was also predicted to have a collagenous domain with a relatively high thermal stability, possibly contributing to its function.

Of particular interest is the Bucl8 protein, which was found to contain two tandem outer membrane efflux protein (OEP) domains that are known to contribute to the multidrug resistant phenotype of Bp and Bm species. These organisms are intrinsically resistant to multiple antibiotics including aminoglycosides, macrolides, and β-lactams [53, 81]. The outer membrane protein is an integral component of a tripartite Resistance-Nodulation-Division (RND) efflux pump that also requires an accessory protein in the periplasm and an inner membrane transport protein. It is known that there are 10 RND efflux pumps annotated in the Bp K96243 strain, many of which have not been explored [40]. Currently, only three of these systems, BpeAB-OprB, AmrAB-OprA, and BpeEF-OprC, have been investigated for their roles in multidrug resistance [8284]. Interestingly, Bucl8 was found to be present in all Bp and Bm strains and absent in the non-pathogenic Bt, suggesting selective pressure for the Bucl8-OEP in human or animal infection. We homology-modeled the Bucl8-OEP region based on OprM protein of Pseudomonas aeruginosa and observed a trimeric arrangement forming an outer membrane-spanning β-barrel and periplasmic α-barrel. The presence of the CL domain in Bucl8 is an unexpected observation, as collagenous regions have not been reported as part of efflux pump systems. On the other hand, the trimeric arrangement of Bucl8 is consistent with the formation of a collagen triple helix. TMPred predicted a transmembrane region, albeit with lower score, for a part of the collagen-like region (amino acids 539–557) indicating the CL region folds back across the membrane. The CL region is then predicted to extend into the extracellular space, projecting the carboxyl-terminal region from the cell surface. The triple-helical CL region may have a number of functions: i) to project the C-terminal region, which may serve as a surface adhesin, ii) to stabilize the trimeric arrangement of the OEP, and iii) may assist in blocking the β-barrel pore at the resting state, thus, preventing entry of xenobiotics into the cell. Ongoing studies will determine the potential role of Bucl8-OEP in drug resistance, Bp and Bm pathogenesis, as well as a potential as vaccine candidate.

Bucl phylogeny

The presence of 13 collagen-like genes in Bp and Bm genomes poses the question how have these unique sequences been acquired in Burkholderia? The GXY repeats found in bacterial collagens may have arisen through mechanisms including de novo spontaneous mutation and subsequent triplet repeat expansion independent within each gene, or by horizontal gene transfer. It has been initially suggested that collagen sequences are acquired by horizontal transfer from eukaryotes to prokaryotes based on the lack of collagen sequences in ancestral archaeal genomes and relatively few sequences identified in bacterial genomes [73]. However, current collagen Pfam contains 2,554 bacterial collagen sequences, as well as 14 archaeal. A recent study, focused on bacterial molecular mimics of host proteins, proposed that collagen-like sequences found in pathogens evolved independently to mimic human host proteins [85]. The uniformity of GXY content within each Bucl indicated they are likely to have evolved from the accumulation of repeats within each gene, resulting in diverse Bucl proteins that share the GXY motif but with different GXY composition. Additionally, gene-enrichment analysis showed that collagen-like proteins were related to extracellular matrix mimicry and cell adhesion, supporting the evolution of repetitive sequences in virulence factors. Our phylogenetic analyses show that 13 collagen-like genes observed in numerous Bp and Bm genomes are unrelated to each other, which supports their independent acquisition, as well as selective adaptation of their collagen-like sequences in the host environment. This is further supported by the lack of collagen-like proteins (11 out of 13) in the closely related environmental species of Bt, indicating these sequences were acquired after divergence of Bp and Bm from Bt. Since Bucl proteins are unrelated and encoded in various locations in the genome, within-gene expansion of GXY-repeat motifs may point to convergent evolution of collagenous sequences to fulfill a similar function.

Phylogenetic trees based on three bucl loci showed Bt strains formed a distinct separate branch from Bp and Bm strains. This is consistent with previous studies based on phylogenetic analyses of seven MLST loci [42] and over 11,000 SNPs [60] which showed Bp and Bt isolates were resolved into two groups that were supported in 100% of bootstrap replicates. We also observed Bm strains share high sequence similarity, while Bp strains exhibited more intraspecies diversity, forming more extensive clusters that often corresponded to geographical associations. Previous phylogeographic reconstruction of Burkholderia strains based on over 14,000 SNPs showed that Bp and Bm strains formed separate clusters. The same study also showed Bp strains were significantly divided between those originating from Australia and Asia [60], in agreement with our observation that Australian isolates formed distinct clusters in bucl-based phylogenetic trees.

Bucl distribution

Both bioinformatic and PCR analyses showed that the majority of bucl genes are unique to Bp and Bm strains, with the exception of bucl3 and bucl4. This observation may indicate these two genes are selected for in the environment of Bp and Bt, as several genomes of host-adapted Bm, lack these genes. The absence of most bucls from Bt is a surprising observation since its genome is overall similar to that of Bp [59], which may suggest either the acquisition of bucls in Bp or the loss of bucls in Bt after divergence of the two species. Both Bp and Bt species have large genomes of approximately 7.2 and 6.7 Mb, respectively, divided between two chromosomes. Comparative genomics showed that Bp and Bt genomes share a large number of conserved genes involved in both core and accessory functions, while genes associated with virulence in Bp have increased diversity [59]. Interestingly, bucl3 and bucl4, encoding proteins potentially involved in pathogenesis, are found in the avirulent Bt. It has been shown that 71% of virulence-related genes in Bp are conserved in Bt with similarities of over 80%, including type III secretion gene clusters [59]. Amino acid differences in virulence proteins present in both species may confer functional differences impacting virulence in Bp vs. Bt. Lastly, the presence of bucl3 and bucl4 alone in Bt was not sufficient to cause pathogenesis, a new biological trait acquired by Bp and Bm after the acquisition of additional virulence factors, including additional Bucls. A prominent feature of Burkholderia genomes is the presence of multiple horizontally acquired genomic islands that differ between Bp and Bt [40, 59]. These genomic islands are associated with survival in the soil environment and are absent in Bm genomes, possibly explaining why Bm cannot persist in the environment [46]. The presence of most bucl biomarkers in both Bp and Bm genomes indicates they are not located within genomic islands but are rather a part of the core genome.

Previously, it has been reported that Bm is a clonal derivative of Bp, which has evolved to adapt to the host environment. Multilocus sequence typing analyses show that, in contrast to Bp, Bm strains are genetically homogenous, while relatively few new genes are being identified, as additional genomes are sequenced [46]. However, the variable portion of the genome, though not acquiring new genetic information, is continuing to alter via expansion of IS elements and chromosomal rearrangements. Our phylogenetic analysis of bucl genes within Bm supports the genetic homogeneity among Bm strains, and mapping of bucl markers showed considerable chromosomal rearrangements occurring between Bm strains.

Different collagen-like proteins, unrelated to 13 Bucls characterized here, were also present in other Burkholderia species. We noticed these collagen-like proteins found in B. cepacia, B. cenocepacia, B. multivorans, B. ambifaria, B. glumae, B. gladioli, and B. xenovorans, contained GTS repeats within the CL region, similar to Bucl3. However, outside of the CL region, sequence identity was very low, therefore these proteins were not included in the Bucl3 group. Given the importance of Burkholderia species as human pathogens and part of the Burkholderia cepacia complex (B. cepacia, B. cenocepacia, B. multivorans, and B. ambifaria), plant pathogens (B. glumae and B. gladioli), and plant symbionts (B. xenovorans), investigation of these collagen-like proteins is an interesting area for further study.

bucl-based infection detection

Bp and Bm are reported to have fatality rates up to 80% and 95%, respectively [86, 87], making early diagnosis and treatment critical for patient survival. Currently, culture-based identification of Burkholderia select agents remains the gold standard for diagnosis [86, 88]. Highly variable genomes present a challenge in finding reliable genetic targets that are not subjected to chromosomal deletion, especially for B. mallei. Although a few laboratory-developed qPCR tests have been reported, there are no FDA-approved assays for the detection of Burkholderia select agents. The TTS1 assay [65, 66] detects specifically Bp, and the BurkDiff assay [63] detects both organisms and differentiates them based on a SNP-associated shift of approximately 1 ΔCt [64]. Here, we assessed bucl markers as detection targets. Standard PCR performed on a large collection of gDNA yielded specific amplicons for bucl5, 13, 14, and 16 from Bp and Bm but not from the non-select agent controls. This PCR test with 4 bucl targets detected Bp infection in laboratory animals using spleen extracts as a specimen. Separation of these conserved amplicons by capillary electrophoresis in a phospholipid nanogel matrix allowed for size-based identification, similarly to previously described identification of Aspergillus spp. [31] and Streptococcus pyogenes [35]. Precise microfluidic separation could be used for strain fingerprinting based on multiplexed amplicons generated with primers flanking the repetitive CL region, as previously tested with B. anthracis strains [32]. Our achieved resolution <9 bp along a wide range of amplicon sizes will allow to differentiate two strains that differ by a single GXY repeat. We further developed a qPCR assay for bucl16, which detects both Bp and Bm; it was tested with purified genomic DNA templates, gDNA spiked with 5% human plasma, and spleen extracts from infected mice. The bucl16 assay was able to detect as low as 50 CFU per reaction in diluted spleen samples; however, it should be noted that sample-to-sample variation was observed. The specimen type will also affect detection outcome. For example, sputum and pus typically contain high bacterial loads (102−109 CFU/ mL) [89], whereas blood of 45% of patients with septicemic melioidosis had less than 1 CFU/ mL bacteria in the blood [90], which presents a sensitivity challenge, even for highly performing qPCR assays. In as much as current work was focused on a single assay, which would simultaneously detect both select agents similarly to BurkDiff assay, the ongoing research is focused on the development of a probe-based qPCR assay targeting nucleotide polymorphisms identified in bucl3 and bucl4 genes. In summary, selected bucl genes represent promising detection targets as they are both specific to and ubiquitously found in Bp and Bm strains.

Materials and Methods

Ethics statement

Animal Studies.

Animal research at the United States Army Medical Research Institute of Infectious Diseases (USAMRIID) was conducted under an animal use protocol approved by the USAMRIID Institutional Animal Care and Use Committee (approved by the USAMRIID-IACUC) in compliance with the Animal Welfare Act, PHS Policy, and other Federal statutes and regulations relating to animals and experiments involving animals. The facility where this research was conducted is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC) and adheres to principles stated in the Guide for the Care and Use of Laboratory Animals, National Research Council, 2011. Tissue samples used in this study were generated in a previously published work [67]. Briefly, challenged mice were observed at least daily for 14 days for clinical signs of illness. Humane endpoints were used during all studies, and mice were humanely euthanized when moribund, according to an endpoint score sheet. Animals were scored on a scale of 0–11: 0–2 = no significant clinical signs; 3–7 = significant clinical symptoms; such as subdued behavior, hunched appearance, absence of grooming, and impacted hind limb function and hind limb paralysis (increased monitoring was warranted and mice were checked at least twice per day); 8–11 = distress. Those animals receiving a score of 8–11 were humanely euthanized by CO2 exposure using compressed CO2 gas followed by cervical dislocation. The mice that were serially sampled were deeply anesthetized and then euthanized by exsanguination followed by cervical dislocation. However, even with multiple observations per day, some animals died as a direct result of the infection in between observation periods.

Human plasma collection.

Anonymized human plasma samples were utilized in quantitative PCR experiments. Plasma samples were obtained from an already-existing collection, which was established by the corresponding author (SL; IRB Protocol Number: 1308076685). Collection of human blood of healthy adults was performed in accordance with the Human Research Protections Policy at West Virginia University. This study was approved by the Institutional Review Board at West Virginia University (IORG0000194) and written informed consent was obtained from all participants.

Bioinformatic analyses

Burkholderia collagen-like proteins, designated Bucl, were identified by searching the Sanger Institute Pfam collagen database (PF01391). Bucl proteins found in B. pseudomallei, B. mallei, and B. thailandensis were categorized into 13 Bucl-protein types based on similar domain organization and primary sequence similarity. Next, nucleotide BLASTn search was performed using each of 13 bucl-gene sequence as a query against the NCBI Nucleotide collection (nr/nt) database, as well as whole genome shotgun contigs (wgs) database, to determine bucl distribution in completed Burkholderia spp. genomes. DNA analyses were performed using the Lasergene Core Suite v. 12 (DNASTAR, Inc., Madison, WI).

Protein structure prediction and modeling

Domain organization of Bucl proteins was adapted from the Pfam collagen database [91] and verified independently using the Fugue 2.0 Server [92], which additionally identified the putative Talin-1 domain within Bucl3. Presence of a signal peptide was predicted with the hidden Markov model component of the SignalP 3.0 Server ( [9395]. The presence of transmembrane domains was predicted with TMpred [96].

When possible, as in the case of Bucl8, a 3D model was generated by homology modeling. Best template was identified by employing profile hidden Markov models (profile HMMs) and the program HMMer [97]. Once the best template was identified (pdb code 3d5k, sequence identity 27%, residues 51–516), the model of Bucl8 outer membrane efflux protein (OEP) domains was generated using MODELLER 9V9 [57]. Stereo-chemical quality of the model was improved by energy minimization using GROMACS [98].

Thermal stability along the predicted triple helices of Bucl-collagen domains was assessed with an algorithm developed by Persikov et al. 2005 [47]. With this approach, a stability coefficient is assigned for every GXY triplet and averaged over a window of 5 tripeptide units. The averaged relative stability values are plotted against the tripeptide number in the collagen sequence.

Phylogenetic analyses

Both individual (with and without the collagen-like domains) and concatenated nucleotide sequences were aligned with ClustalV in the Megalign module in DNASTAR Lasergene software, and verified manually. Maximum parsimony analyses were performed with 1000 bootstrap replicates using MEGA 6.06 [99], with the Tree-Bisection Reconnection heuristic search and 200 max trees saved. The evolutionary models used for each data-set were determined by MrModelTest 2.3 [100] with the Akaike Information Criterion (AIC). Bayesian analyses were performed within MrBayes 3.1.2 [101] implementing six Markov chains, 1000000 generations, with trees sampled every 100 iterations. Posterior probabilities were calculated using the last 20% of saved trees (burnin = 8000). Cutoff values for significance were assigned 95 for Bayesian analysis and 70 for maximum parsimony analysis. All phylogenetic trees were constructed using the majority rule consensus. Trees were viewed in FIGTREE v1.3.1 ( Phylogenies were constructed based on single bucl genes as well as concatenated bucl genes.

bucl distribution among Burkholderia species

bucl distribution was assessed in a broad collection of Burkholderia strains using genomic DNA (Table 2) obtained from: (i) NIH Biodefense and Emerging Infections Research Resources Repository, NIAID, NIH, (ii) Dr. Christopher Cote (The United States Army Medical Research Institute of Infectious Disease), and (iii) Dr. Joanna Goldberg (Emory University). The total collection consisted of DNA from 25 B. pseudomallei and 20 B. mallei strains, and non-select agent control DNA from 4 B. thailandensis, 3 B. cepacia, 5 B. cenocepacia, and 6 B. multivorans strains. Analytical PCR was performed with primers targeting conserved non-collagenous regions of bucl alleles present in the reference strain B. pseudomallei K96243. PCR buffer (10 mM Tris-HCl, 1.5 mM MgCl2, 50 mM KCl, pH 8.3) included 0.2 μM primers, 0.2 mM dNTP’s, and 1.5 M betaine (Sigma-Aldrich, St. Louis, MO) to ameliorate amplification problems associated with high GC content (~68%) of Burkholderia genomes [41]. A temperature gradient of 50–65°C was tested for each primer pair and gDNA of B. pseudomallei K96243 harboring all 13 bucl genes as a template; uniform amplification conditions were established for all bucl genes at an annealing temperature of 64°C. Amplification was performed with an in-house Taq polymerase as follows: 95°C, 5 min-[95°C 30 sec, 64°C 30 sec, 72°C 45 sec] x30 cycles- 72°C, 10 min. 40 ng of template DNA was used for screening genomic DNA collection and reactions were carried out on a Bio-Rad S1000 thermal cycler. Resultant PCR products were analyzed on a 2% agarose gel with a 50-bp ladder DNA standard (New England Biolabs Inc., Boston, MA). Gels were imaged using the Eagle Eye II (Stratagene, La Jolla, CA), and FOTO/ Analyst Investigator/ Eclipse gel documentation workstation (Fotodyne, Harland, WI).

qPCR amplification of bucl targets

Testing of selected bucl amplicons by real-time PCR with SYBR green intercalating dye was performed to assess potential candidates for probe-based detection of B. pseudomallei and B. mallei species. Reactions were carried out with SsoAdvanced SYBR Green Supermix (Bio-Rad, Hercules, CA), 0.5 μM concentration of each primer and 25 ng of gDNA from strain B. pseudomallei K96243 as a template in a total volume of 20 μL. Amplification curves were obtained with the following program: 95°C, 3 min-[95°C 5 sec, 64°C 10 sec]x35 cycles. qPCR was performed using a Bio-Rad CFX96 instrument and data analyzed with the CFX Manager software Version 3.0. PrimeTime qPCR probe was developed for the bucl16 gene, which yielded robust amplification in 5’ nuclease qPCR assays, to detect B. pseudomallei and B. mallei species. Locked nucleic acid (LNA) bucl16-based probe (Table 4) contained a 5’-FAM fluorophore and a 3’-Iowa Black fluorescent quencher. Reactions were carried out using SsoAdvanced Universal Probes supermix (Bio-Rad), 0.5 μM primers, 0.2 μM concentration of probe and 25 ng of gDNA template in a total volume of 20 μL. Amplification curves were obtained with the following program: 95°C 3 min-[95°C 5 sec, 64°C 10 sec]x35 cycles.

Capillary gel electrophoresis

Reagents for separation of DNA by capillary gel electrophoresis included the nanogel matrix composed of the phospholipids dimyristoyl-sn-glycero-3-phosphocholine (DMPC) and 1,2-dihexanoyl-sn-glycero-3-phosphocholine (DHPC) (Avanti Polar Lipids, Alabaster, AL), 3-(N-morpholino)-propanesulfonic acid (MOPS) (Alfa Aesar, Ward Hill, MA) buffer, and SYBR green 1 (Life Technologies, Grand Island, NY). The phospholipid pseudogel was prepared at a molar ratio of [DMPC]/[DHPC] = 2.5 at 10% wt/vol in an aqueous solution of 100 mM MOPS buffer (pH 7) in order to generate the nanogel separation matrix. Intercalating dye was incorporated into the nanogel at 1x concentration to enable fluorescent DNA detection. The 50-bp DNA ladder (New England BioLabs, Ipswich, MA) was used as a molecular size marker.

Separations were performed on a Beckman Coulter P/ACE MDQ system equipped with a laser-induced fluorescence detection module and a 3 mW air-cooled argon ion laser (λex = 488 nm and λem = 520 nm). The fused silica capillary was conditioned prior to electrophoresis separation of DNA using previously described rinsing [62] and coating [102] procedures. The capillary was filled with liquid nanogel solution a temperature below 24°C (19–21°C); then the temperature was increased to 30°C in order to form the sieving gel for accurate sizing separations of PCR amplicons. DNA samples were electrokinetically injected under reverse polarity as previously described [103]. Data collection and analysis were performed with 32 Karat Software version 5.0 (Beckman Coulter). Sizing was accomplished by co-injecting the bucl5, 13, 14, and 16 amplicons with two internal standards of known length that bracketed the size of the DNA targets. Internal standards of 100 bp and 250 bp were used to create a linear fit for DNA size (in bp) versus migration time. The resulting slope and intercept were then used to calculate the size (length in bp) of the bucl gene targets based on their migration times. The reported values for the calculated DNA size and standard deviation (in bp) are an average for n = 5 consecutive separations.

Detection of B. pseudomallei gDNA in infected mice and human plasma using bucl markers

BALB/c mice (female 7–10 weeks of age at time of challenge-National Cancer Institute, NCI-Frederick, MD) were injected by the intraperitoneal (i.p.) route. Mice were infected with a dose equivalent to approximately 6 times the LD50 of B. pseudomallei HBPUB10134a (LD50 is 10 CFU) [67]. At various time points after infection mice were euthanized by exsanguination under deep anesthesia and spleens were harvested. Spleens were weighed and homogenized in RPMI 1640 medium (Life Technology, Grand Island, NY). Bacterial load in the freshly prepared spleen extracts was determined by plating serial dilutions on sheep blood agar (ThermoScientific Remel Products, KS). Plates were incubated at 37°C for two days before determining CFU counts. The spleen extracts were irradiated and confirmed sterile before use in PCR assays, and were stored at -70°C. Standard PCR for bucl genes 5, 13, 14, and 16, and probe-based qPCR for bucl16 were performed as described above using 1 μL of DNA-containing spleen specimen. Additionally, qPCR reactions were performed with 30 ng B. pseudomallei K96243 gDNA spiked with 5% human plasma collected in EDTA tubes to test the feasibility of the assay on clinical samples containing plasma. qPCR experiments were performed in triplicate and Cq values were averaged.

Statistical analyses

Statistical significance of bucl presence in pathogenic B. pseudomallei and B. mallei strains vs. nonpathogenic B. thailandensis was performed using the Fisher Exact Probability Test, followed by calculation of Cramer’s V squared.


Research was conducted under an IACUC approved protocol in compliance with the Animal Welfare Act, PHS Policy, and other federal statutes and regulations relating to animals and experiments involving animals. The facility where this research was conducted is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care, International and adheres to principles stated in the 8th Edition of the Guide for the Care and Use of Laboratory Animals, National Research Council, 2011.

Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the U. S. Army.

Supporting Information

S1 Dataset. Nucleotide sequences for all bucl genes.

Nucleotide sequences were used to generate phylogenetic trees shown in Figs 5 and 6, S1, S2 and S3 Figs.


S2 Dataset. Percent identity between strains for each bucl gene.

Pairwise nucleotide sequence alignments were generated using the ClustalW algorithm in the DNAStar Megalign software and used to calculate percent identities and divergence. Each table contains percent identities (right side of black squares) and divergence values (left side of black squares) for each pairwise alignment.


S1 Fig. Phylogenetic analyses of bucl1 in B. pseudomallei and B. mallei strains.

Nucleotide sequences encoding (A) the noncollagenous domain and (B) entire gene of bucl1 alleles were used. Support values for each branch are shown as posterior probability from Bayesian analysis and bootstrap values from maximum parsimony analysis, respectively (PP/MP). Scale bar is representative of evolutionary distance in substitutions per nucleotide.


S2 Fig. Phylogenetic analysis of bucl8 among Burkholderia strains.

Bayesian analysis was performed on nucleotide sequences of bucl8 non-collagenous regions of a set of Burkholderia strains described in Table 3. Support values for each branch are shown as posterior probability from Bayesian analysis. Several clusters of strains, C1, C4, and C5, corresponding to those observed in the concatenated analysis were also observed. Scale bar is representative of evolutionary distance in substitutions per nucleotide.


S3 Fig. Phylogenetic analysis of Bucl3 and Bucl4 amino acid sequences among Burkholderia strains.

Bayesian analysis was performed on amino acid sequences of (A) Bucl3 and (B) Bucl4 non-collagenous regions of a set of Burkholderia strains described in Table 3. Support values for each branch are shown as posterior probability from Bayesian analysis and bootstrap values from maximum parsimony analysis, respectively (PP/MP). Posterior probability value, which was not supported by maximum parsimony analysis is shown in red. Scale bar is representative of evolutionary distance in substitutions per nucleotide.


S4 Fig. Distribution of bucl genes among Burkholderia spp. select agents by PCR.

Presence of (A) bucl genes 2, 3, and 10 and (B) bucl genes 6, 7, 8, and 15, was assessed by PCR on a collection of genomic DNA from B. pseudomallei and B. mallei select agents (top panels), as well as in control strains of B. thailandensis, B. cepacia, B. cenocepacia, and B. multivorans (bottom panels). Amplicon sizes based on Bp K96243: In A) bucl2, 133 bp; bucl3, 166 bp; and bucl10, 109 bp; In B) bucl6, 115 bp; bucl7, 264 bp; bucl8, 243 bp; and bucl15, 95 bp.M, 50-bp DNA ladder. PCR data shown in panels A and B for 25 Bp strains come from two merged gel images.



We acknowledge providers of genomic DNA samples for PCR testing including (i) NIH Biodefense and Emerging Infections Research Resources Repository, NIAID, NIH, (ii) Dr. Christopher Cote (The United States Army Medical Research Institute of Infectious Disease), and (iii) Dr. Joanna Goldberg (Emory University). We also thank Paul Feustel (Albany Medical College) for consultation on statistical tests.

Author Contributions

Conceived and designed the experiments: BAB SL. Performed the experiments: BAB SJC AKS RVMR RB BCD LAH KA SLW JAB CKC. Analyzed the data: BAB SL AKS RVMR CKC RB. Contributed reagents/materials/analysis tools: AKS RB BCD LAH CKC. Wrote the paper: BAB SL AKS RVMR BCD LAH CKC RB. Conceived the study, participated in experimental design and analysis, and drafted the manuscript: BAB SL. Performed PCR/qPCR analyses: SJC. Performed the phylogenetic analyses: AKS RVMR. Performed molecular modeling: RB. Carried out capillary gel electrophoresis: BCD LAH. Performed mouse experiments: KA SLW JAB CKC. Contributed to manuscript preparation: AKS RVMR BCD LAH CKC RB. Read and approved the final manuscript: BAB SJC AKS RVMR BCD LAH KA SLW JAB CKC RB SL.


  1. 1. Brodsky B, Ramshaw JA. The collagen triple-helix structure. Matrix Biol. 1997;15(8–9): 545–54. pmid:9138287
  2. 2. Brodsky B, Persikov AV. Molecular structure of the collagen triple helix. Adv Protein Chem. 2005;70: 301–39. pmid:15837519
  3. 3. Ricard-Blum S. The collagen family. Cold Spring Harb Perspect Biol. 2011;3(1): a004978. pmid:21421911
  4. 4. Xu Y, Keene DR, Bujnicki JM, Höök M, Lukomski S. Streptococcal Scl1 and Scl2 proteins form collagen-like triple helices. J Biol Chem. 2002;277(30): 27312–8. pmid:11976327
  5. 5. Rasmussen M, Eden A, Bjorck L. SclA, a novel collagen-like surface protein of Streptococcus pyogenes. Infect Immun. 2000;68(11): 6370–7. pmid:11035747
  6. 6. Rasmussen M, Bjorck L. Unique regulation of SclB-a novel collagen-like surface protein of Streptococcus pyogenes. Infect Immun. 2001;40(6): 1427–38.
  7. 7. Lukomski S, Nakashima K, Abdi I, Cipriano VJ, Ireland RM, Reid SD, et al. Identification and characterization of the scl gene encoding a group A Streptococcus extracellular protein virulence factor with similarity to human collagen. Infect Immun. 2000;68(12): 6542–53. pmid:11083763
  8. 8. Lukomski S, Nakashima K, Abdi I, Cipriano VJ, Shelvin BJ, Graviss EA, et al. Identification and characterization of a second extracellular collagen-like protein made by group A Streptococcus: control of production at the level of translation. Infect Immun. 2001;69(3): 1729–38. pmid:11179350
  9. 9. De Simone A, Vitagliano L, Berisio R. Role of hydration in collagen triple helix stabilization. Biochem Biophys Res Commun. 2008;372(1): 121–5. pmid:18485893
  10. 10. Berisio R, De Simone A, Ruggiero A, Improta R, Vitagliano L. Role of side chains in collagen triple helix stabilization and partner recognition. J Pept Sci. 2009;15(3): 131–40. pmid:19053070
  11. 11. Yu Z, An B, Ramshaw JA, Brodsky B. Bacterial collagen-like proteins that form triple-helical structures. J Struct Biol. 2014;186(3): 451–61. pmid:24434612
  12. 12. Mohs A, Silva T, Yoshida T, Amin R, Lukomski S, Inouye M, et al. Mechanism of stabilization of a bacterial collagen triple helix in the absence of hydroxyproline. J Biol Chem. 2007;282(41): 29757–65. pmid:17693404
  13. 13. Han R, Zwiefka A, Caswell CC, Xu Y, Keene DR, Lukomska E, et al. Assessment of prokaryotic collagen-like sequences derived from streptococcal Scl1 and Scl2 proteins as a source of recombinant GXY polymers. Appl Microbiol Biotechnol. 2006;72(1): 109–15. pmid:16552563
  14. 14. Xu C, Yu Z, Inouye M, Brodsky B, Mirochnitchenko O. Expanding the family of collagen proteins: recombinant bacterial collagens of varying composition form triple-helices of similar stability. Biomacromolecules. 2010;11(2): 348–56. pmid:20025291
  15. 15. Boydston JA, Chen P, Steichen CT, Turnbough CL Jr. Orientation within the exosporium and structural stability of the collagen-like glycoprotein BclA of Bacillus anthracis. J Bacteriol. 2005;187(15): 5310-a-7.
  16. 16. Sylvestre P, Couture-Tosi E, Mock M. A collagen-like surface glycoprotein is a structural component of the Bacillus anthracis exosporium. Mol Microbiol. 2002;45(1): 169–78. pmid:12100557
  17. 17. Whatmore AM. Streptococcus pyogenes sclB encodes a putative hypervariable surface protein with a collagen-like repetitive structure. Microbiol. 2001;147: 419–29.
  18. 18. Paterson GK, Nieminen L, Jefferies JM, Mitchell TJ. PclA, a pneumococcal collagen-like protein with selected strain distribution, contributes to adherence and invasion of host cells. FEMS Microbiol Lett. 2008;285(2): 170–6. pmid:18557785
  19. 19. Vandersmissen L, De Buck E, Saels V, Coil DA, Anne J. A Legionella pneumophila collagen-like protein encoded by a gene with a variable number of tandem repeats is involved in the adherence and invasion of host cells. FEMS Microbiol Lett. 2010;306(2): 168–76. pmid:20370832
  20. 20. Karlstrom A, Jacobsson K, Flock M, Flock J, Guss B. Identification of a novel collagen-like protein, SclC, in Streptococcus equi using signal sequence phage display. Vet Microbiol. 2004;104(3–4): 179–88. pmid:15564026
  21. 21. Pizarro-Guajardo M, Olguin-Araneda V, Barra-Carrasco J, Brito-Silva C, Sarker MR, Paredes-Sabja D. Characterization of the collagen-like exosporium protein, BclA1, of Clostridium difficile spores. Anaerobe. 2014;25: 18–30. pmid:24269655
  22. 22. Beres S, Sesso R, Pinto S, Hoe N, Porcella S, Deleo F, et al. Genome sequence of a lancefield group C Streptococcus zooepidemicus strain causing epidemic nephritis: new information about an old disease. PLoS ONE. 2008;3(8): e3026. pmid:18716664
  23. 23. Han R, Caswell CC, Lukomska E, Keene DR, Pawlowski M, Bujnicki JM, et al. Binding of the low-density lipoprotein by streptococcal collagen-like protein Scl1 of Streptococcus pyogenes. Mol Microbiol. 2006;61(2): 351–67. pmid:16856940
  24. 24. Caswell C, Lukomska E, Seo N, Hook M, Lukomski S. Scl1-dependent internalization of group A Streptococcus via direct interactions with the a2b1 integrin enhances pathogen survival and re-emergence. Mol Microbiol. 2007;64(5): 1319–31. pmid:17542923
  25. 25. Caswell CC, Barczyk M, Keene DR, Lukomska E, Gullberg DE, Lukomski S. Identification of the first prokaryotic collagen sequence motif that mediates binding to human collagen receptors, integrins a2b1 and a11b1. J Biol Chem. 2008;283(52): 36168–75. pmid:18990704
  26. 26. Caswell CC, Oliver-Kozup H, Han R, Lukomska E, Lukomski S. Scl1, the multifunctional adhesin of group A Streptococcus, selectively binds cellular fibronectin and laminin, and mediates pathogen internalization by human cells. FEMS Microbiol Lett. 2010;303(1): 61–8. pmid:20002194
  27. 27. Reuter M, Caswell CC, Lukomski S, Zipfel PF. Binding of the human complement regulators CFHR1 and factor H by streptococcal collagen-like protein 1 (Scl1) via their conserved C termini allows control of the complement cascade at multiple levels. J Biol Chem. 2010;285(49): 38473–85. pmid:20855886
  28. 28. Oliver-Kozup H, Martin KH, Schwegler-Berry D, Green BJ, Betts C, Shinde AV, et al. The group A streptococcal collagen-like protein-1, Scl1, mediates biofilm formation by targeting the extra domain A-containing variant of cellular fibronectin expressed in wounded tissue. Mol Microbiol. 2013;87(3): 672–89. pmid:23217101
  29. 29. Pahlman LI, Marx PF, Morgelin M, Lukomski S, Meijers JCM, Herwald H. Thrombin-activatable fibrinolysis inhibitor binds to Streptococcus pyogenes by interacting with collagen-like proteins A and B. J Biol Chem. 2007;282(34): 24873–81. pmid:17553807
  30. 30. Bozue J, Moody K, Cote C, Stiles B, Friedlander A, Welkos S, et al. Bacillus anthracis spores of the bclA mutant exhibit increased adherence to epithelial, fibroblast, and endothelial cells but not macrophages. Infect Immun. 2007;75(9): 4498–505. pmid:17606596
  31. 31. Tuntevski K, Durney BC, Snyder AK, Lasala PR, Nayak AP, Green BJ, et al. Aspergillus collagen-like (acl) genes: identification, sequence polymorphism and assessment for PCR-based pathogen detection. Appl Environ Microbiol. 2013;79(24): 7882–95. pmid:24123732
  32. 32. Leski TA, Caswell CC, Pawlowski M, Klinke DJ, Bujnicki JM, Hart SJ, et al. Identification and classification of bcl genes and proteins of Bacillus cereus group organisms and their application in Bacillus anthracis detection and fingerprinting. Appl Environ Microbiol. 2009;75(22): 7163–72. pmid:19767469
  33. 33. Sylvestre P, Couture-Tosi E, Mock M. Polymorphism in the collagen-like region of the Bacillus anthracis BclA protein leads to variation in exosporium filament length. J Bacteriol. 2003;185: 1555–63. pmid:12591872
  34. 34. Castanha ER, Swiger RR, Senior B, Fox A, Waller LN, Fox KF. Strain discrimination among B. anthracis and related organisms by characterization of bclA polymorphisms using PCR coupled with agarose gel or microchannel fluidics electrophoresis. J Microbiol Methods. 2006;64(1): 27–45. pmid:15992950
  35. 35. Durney BC, Bachert BA, Sloane BS, Lukomski S, Landers JP, Holland LA. Reversible phospholipid nanogels for deoxyribonucleic acid fragment size determinations up to 1,500 base pairs and integrated sample stacking. Anal Chim Acta. 2015;880:136–44 pmid:26092346
  36. 36. Vandamme P, Dawyndt P. Classification and identification of the Burkholderia cepacia complex: Past, present and future. Syst Appl Microbiol. 2011;34(2): 87–95. pmid:21257278
  37. 37. Wheelis M. First shots fired in biological warfare. Nature. 1998;395(6699): 213. pmid:9751039
  38. 38. White NJ. Melioidosis. The Lancet.361(9370): 1715–22.
  39. 39. Anuntagool N, Naigowit P, Petkanchanapong V, Aramsri P, Panichakul T, Sirisinha S. Monoclonal antibody-based rapid identification of Burkholderia pseudomallei in blood culture fluid from patients with community-acquired septicaemia. J Med Microbiol. 2000;49(12): 1075–8. pmid:11129718
  40. 40. Holden MT, Titball RW, Peacock SJ, Cerdeno-Tarraga AM, Atkins T, Crossman LC, et al. Genomic plasticity of the causative agent of melioidosis, Burkholderia pseudomallei. Proc Natl Acad Sci USA. 2004;101(39): 14240–5. pmid:15377794
  41. 41. Nierman WC, DeShazer D, Kim HS, Tettelin H, Nelson KE, Feldblyum T, et al. Structural flexibility in the Burkholderia mallei genome. Proc Natl Acad Sci USA. 2004;101(39): 14246–51. pmid:15377793
  42. 42. Godoy D, Randle G, Simpson AJ, Aanensen DM, Pitt TL, Kinoshita R, et al. Multilocus sequence typing and evolutionary relationships among the causative agents of melioidosis and glanders, Burkholderia pseudomallei and Burkholderia mallei. J Clin Microbiol. 2003;41(5): 2068–79. pmid:12734250
  43. 43. Lazar Adler NR, Govan B, Cullinane M, Harper M, Adler B, Boyce JD. The molecular and cellular basis of pathogenesis in melioidosis: how does Burkholderia pseudomallei cause disease? FEMS Microbiol Rev. 2009;33(6): 1079–99. pmid:19732156
  44. 44. Galyov EE, Brett PJ, DeShazer D. Molecular insights into Burkholderia pseudomallei and Burkholderia mallei pathogenesis. Annu Rev Microbiol. 2010;64: 495–517. pmid:20528691
  45. 45. Karlstrom A, Jacobsson K, Guss B. SclC is a member of a novel family of collagen-like proteins in Streptococcus equi subspecies equi that are recognised by antibodies against SclC. Vet Microbiol. 2005.
  46. 46. Losada L, Ronning CM, DeShazer D, Woods D, Fedorova N, Kim HS, et al. Continuing evolution of Burkholderia mallei through genome reduction and large-scale rearrangements. Genome Biol Evol. 2010;2: 102–16. pmid:20333227
  47. 47. Persikov AV, Ramshaw JAM, Brodsky B. Prediction of collagen stability from amino acid sequence. J Biol Chem. 2005;280(19): 19343–9. pmid:15753081
  48. 48. Brown NH, Gregory SL, Rickoll WL, Fessler LI, Prout M, White RA, et al. Talin is essential for integrin function in Drosophila. Dev Cell. 2002;3(4): 569–79. pmid:12408808
  49. 49. Tadokoro S, Shattil SJ, Eto K, Tai V, Liddington RC, de Pereda JM, et al. Talin binding to integrin beta tails: a final common step in integrin activation. Science. 2003;302(5642): 103–6. pmid:14526080
  50. 50. Wegener KL, Partridge AW, Han J, Pickford AR, Liddington RC, Ginsberg MH, et al. Structural basis of integrin activation by talin. Cell. 2007;128(1): 171–82. pmid:17218263
  51. 51. Sun J, Deng Z, Yan A. Bacterial multidrug efflux pumps: mechanisms, physiology and pharmacological exploitations. Biochem Biophys Res Commun. 2014;453(2): 254–67. pmid:24878531
  52. 52. Tam R, Saier MH Jr. Structural, functional, and evolutionary relationships among extracellular solute-binding receptors of bacteria. Microbiol Rev. 1993;57(2): 320–46. pmid:8336670
  53. 53. Thibault FM, Hernandez E, Vidal DR, Girardet M, Cavallo J-D. Antibiotic susceptibility of 65 isolates of Burkholderia pseudomallei and Burkholderia mallei to 35 antimicrobial agents. J Antimicrob Chemother. 2004;54(6): 1134–8. pmid:15509614
  54. 54. Ikeda M, Arai M, Lao DM, Shimizu T. Transmembrane topology prediction methods: a re-assessment and improvement by a consensus method using a dataset of experimentally-characterized transmembrane topologies. In Silico Biol. 2002;2(1): 19–33. pmid:11808871
  55. 55. Johnson JM, Church GM. Alignment and structure prediction of divergent protein families: periplasmic and outer membrane proteins of bacterial efflux pumps. J Mol Biol. 1999;287(3): 695–715. pmid:10092468
  56. 56. Phan G, Benabdelhak H, Lascombe MB, Benas P, Rety S, Picard M, et al. Structural and dynamical insights into the opening mechanism of P. aeruginosa OprM channel. Structure. 2010;18(4): 507–17. pmid:20399187
  57. 57. Eswar N, Webb B, Marti-Renom MA, Madhusudhan MS, Eramian D, Shen M-y, et al. Comparative Protein Structure Modeling Using Modeller. Current Protoc Bioinformatics. 2006;Chapter 5, Unit 5.6.
  58. 58. Akama H, Matsuura T, Kashiwagi S, Yoneyama H, Narita S, Tsukihara T, et al. Crystal structure of the membrane fusion protein, MexA, of the multidrug transporter in Pseudomonas aeruginosa. J Biol Chem. 2004;279(25): 25939–42. pmid:15117957
  59. 59. Yu Y, Kim HS, Chua HH, Lin CH, Sim SH, Lin D, et al. Genomic patterns of pathogen evolution revealed by comparison of Burkholderia pseudomallei, the causative agent of melioidosis, to avirulent Burkholderia thailandensis. BMC Microbiol. 2006;6: 46. pmid:16725056
  60. 60. Pearson T, Giffard P, Beckstrom-Sternberg S, Auerbach R, Hornstra H, Tuanyok A, et al. Phylogeographic reconstruction of a bacterial species with high levels of lateral gene transfer. BMC Biol. 2009;7: 78. pmid:19922616
  61. 61. Brett PJ, DeShazer D, Woods DE. Burkholderia thailandensis sp. nov., a Burkholderia pseudomallei-like species. Int J Syst Bacteriol. 1998;48 Pt 1: 317–20. pmid:9542103
  62. 62. Durney BC, Lounsbury JA, Poe BL, Landers JP, Holland LA. A thermally responsive phospholipid pseudogel: tunable DNA sieving with capillary electrophoresis. Anal Chem. 2013;85(14): 6617–25. pmid:23750918
  63. 63. Bowers JR, Engelthaler DM, Ginther JL, Pearson T, Peacock SJ, Tuanyok A, et al. BurkDiff: a real-time PCR allelic discrimination assay for Burkholderia pseudomallei and B. mallei. PLoS ONE. 2010;5(11): e15413. pmid:21103048
  64. 64. Price EP, Dale JL, Cook JM, Sarovich DS, Seymour ML, Ginther JL, et al. Development and validation of Burkholderia pseudomallei-specific real-time PCR assays for clinical, environmental or forensic detection applications. PLoS ONE. 2012;7(5): e37723. pmid:22624061
  65. 65. Novak RT, Glass MB, Gee JE, Gal D, Mayo MJ, Currie BJ, et al. Development and evaluation of a real-time PCR assay targeting the type III secretion system of Burkholderia pseudomallei. J Clin Microbiol. 2006;44(1): 85–90. pmid:16390953
  66. 66. Meumann EM, Novak RT, Gal D, Kaestli ME, Mayo M, Hanson JP, et al. Clinical evaluation of a type III secretion system real-time PCR assay for diagnosing melioidosis. J Clin Microbiol. 2006;44(8): 3028–30. pmid:16891534
  67. 67. Welkos SL, Klimko CP, Kern S, Bearss J, Bozue JA, Bernhards RC, et al. Characterization of Burkholderia pseudomallei strains using a murine intraperitoneal infection model and in vitro macrophage assays. PLoS ONE. 2015;10(4): e0124667. pmid:25909629
  68. 68. Berisio R, Vitagliano L, Mazzarella L, Zagari A. Recent progress on collagen triple helix structure, stability and assembly. Protein Pept Lett. 2002;9(2): 107–16. pmid:12141907
  69. 69. Okuyama K. Revisiting the molecular structure of collagen. Connect Tissue Res. 2008;49(5): 299–310. pmid:18991083
  70. 70. Shoulders MD, Raines RT. Collagen structure and stability. Annu Rev Biochem. 2009;78: 929–58. pmid:19344236
  71. 71. Chan VC, Ramshaw JA, Kirkpatrick A, Beck K, Brodsky B. Positional preferences of ionizable residues in Gly-X-Y triplets of the collagen triple-helix. J Biol Chem. 1997;272(50): 31441–6. pmid:9395477
  72. 72. Leikina E, Mertts MV, Kuznetsova N, Leikin S. Type I collagen is thermally unstable at body temperature. Proc Natl Acad Sci USA. 2002;99(3): 1314–8. pmid:11805290
  73. 73. Rasmussen M, Jacobsson M, Bjorck L. Genome-based identification and analysis of collagen-related structural motifs in bacterial and viral proteins. J Biol Chem. 2003;278(34): 32313–6. pmid:12788919
  74. 74. Ruggiero A, Tizzano B, Pedone E, Pedone C, Wilmanns M, Berisio R. Crystal structure of the resuscitation-promoting factor (DeltaDUF)RpfB from M. tuberculosis. J Mol Biol. 2009;385(1): 153–62. pmid:18992255
  75. 75. Warawa J, Woods DE. Type III secretion system cluster 3 is required for maximal virulence of Burkholderia pseudomallei in a hamster infection model. FEMS Microbiol Lett. 2005;242(1): 101–8. pmid:15621426
  76. 76. Schwarz S, Singh P, Robertson JD, LeRoux M, Skerrett SJ, Goodlett DR, et al. VgrG-5 is a Burkholderia type VI secretion system-exported protein required for multinucleated giant cell formation and virulence. Infect Immun. 2014;82(4): 1445–52. pmid:24452686
  77. 77. Angus AA, Agapakis CM, Fong S, Yerrapragada S, Estrada-de los Santos P, Yang P, et al. Plant-associated symbiotic Burkholderia species lack hallmark strategies required in mammalian pathogenesis. PLoS ONE. 2014;9(1): e83779. pmid:24416172
  78. 78. Rainbow L, Hart CA, Winstanley C. Distribution of type III secretion gene clusters in Burkholderia pseudomallei, B. thailandensis and B. mallei. J Med Microbiol. 2002;51(5): 374–84. pmid:11990489
  79. 79. French CT, Toesca IJ, Wu TH, Teslaa T, Beaty SM, Wong W, et al. Dissection of the Burkholderia intracellular life cycle using a photothermal nanoblade. Proc Natl Acad Sci USA. 2011;108(29): 12095–100. pmid:21730143
  80. 80. Stevens MP, Wood MW, Taylor LA, Monaghan P, Hawes P, Jones PW, et al. An Inv/Mxi-Spa-like type III protein secretion system in Burkholderia pseudomallei modulates intracellular behaviour of the pathogen. Mol Microbiol. 2002;46(3): 649–59. pmid:12410823
  81. 81. Choh LC, Ong GH, Vellasamy KM, Kalaiselvam K, Kang WT, Al-Maleki AR, et al. Burkholderia vaccines: are we moving forward? Front Cell Infect Microbiol. 2013;3: 5. pmid:23386999
  82. 82. Moore RA, DeShazer D, Reckseidler S, Weissman A, Woods DE. Efflux-mediated aminoglycoside and macrolide resistance in Burkholderia pseudomallei. Antimicrob Agents Chemother. 1999;43(3): 465–70. pmid:10049252
  83. 83. Chan YY, Tan TM, Ong YM, Chua KL. BpeAB-OprB, a multidrug efflux pump in Burkholderia pseudomallei. Antimicrob Agents Chemother. 2004;48(4): 1128–35. pmid:15047512
  84. 84. Podnecky NL, Wuthiekanun V, Peacock SJ, Schweizer HP. The BpeEF-OprC efflux pump is responsible for widespread trimethoprim resistance in clinical and environmental Burkholderia pseudomallei isolates. Antimicrob Agents Chemother. 2013;57(9): 4381–6. pmid:23817379
  85. 85. Doxey AC, McConkey BJ. Prediction of molecular mimicry candidates in human pathogenic bacteria. Virulence. 2013;4(6): 453–66. pmid:23715053
  86. 86. Hoffmaster AR, AuCoin D, Baccam P, Baggett HC, Baird R, Bhengsri S, et al. Melioidosis diagnostic workshop, 2013. Emerg Infect Dis. 2015;21(2). pmid:25626057
  87. 87. Van Zandt KE, Greer MT, Gelhaus HC. Glanders: an overview of infection in humans. Orphanet J Rare Dis. 2013;8: 131. pmid:24004906
  88. 88. Currie BJ. Melioidosis: evolving concepts in epidemiology, pathogenesis, and treatment. Semin Respir Crit Care Med. 2015;36(1): 111–25. pmid:25643275
  89. 89. Wongsuvan G, Limmathurotsakul D, Wannapasni S, Chierakul W, Teerawattanasook N, Wuthiekanun V. Lack of correlation of Burkholderia pseudomallei quantities in blood, urine, sputum and pus. Southeast Asian J Trop Med Public Health. 2009;40(4): 781–4. pmid:19842414
  90. 90. Walsh AL, Smith MD, Wuthiekanun V, Suputtamongkol Y, Chaowagul W, Dance DA, et al. Prognostic significance of quantitative bacteremia in septicemic melioidosis. Clin Infect Dis. 1995;21(6): 1498–500. pmid:8749644
  91. 91. Punta M, Coggill PC, Eberhardt RY, Mistry J, Tate J, Boursnell C, et al. The Pfam protein families database. Nucleic Acids Res. 2012;40(Database issue): D290–301. pmid:22127870
  92. 92. Shi J, Blundell TL, Mizuguchi K. FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties. J Mol Biol. 2001;310(1): 243–57. pmid:11419950
  93. 93. Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0. J Mol Biol. 2004;340(4): 783–95. pmid:15223320
  94. 94. Nielsen H, Engelbrecht J, Brunak S, von Heijne G. Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Eng. 1997;10(1): 1–6. pmid:9051728
  95. 95. Nielsen H, Krogh A. Prediction of signal peptides and signal anchors by a hidden Markov model. Proc Int Conf Intell Syst Mol Biol. 1998;6: 122–30. pmid:9783217
  96. 96. Hofmann K, Stoffel W. TMBASE—A database of membrane spanning protein segments. Biological Chemistry Hoppe-Seyler. 1993;374(166).
  97. 97. Eddy SR. Accelerated Profile HMM Searches. PLoS Comput Biol. 2011;7(10): e1002195. pmid:22039361
  98. 98. Van Der Spoel D, Lindahl E, Hess B, Groenhof G, Mark AE, Berendsen HJ. GROMACS: fast, flexible, and free. J Comput Chem. 2005;26(16): 1701–18. pmid:16211538
  99. 99. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013;30(12): 2725–9. pmid:24132122
  100. 100. Nylander JAA. MrModeltest v2. Evolutionary Biology Centre, Uppsala University. 2004.
  101. 101. Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19(12): 1572–4. pmid:12912839
  102. 102. White CM, Luo R, Archer-Hartmann SA, Holland LA. Electrophoretic screening of ligands under suppressed EOF with an inert phospholipid coating. Electrophoresis. 2007;28(17): 3049–55. pmid:17665372
  103. 103. Luo R, Archer-Hartmann SA, Holland LA. Transformable capillary electrophoresis for oligosaccharide separations using phospholipid additives. Anal Chem. 2010;82(4): 1228–33. pmid:20078030