Dataset Information

Development of a species-specific fur gene-based method for identification of the Burkholderia cepacia complex.

ABSTRACT: Burkholderia is an important bacterial genus with a complex taxonomy that contains species of both ecological and pathogenic importance, including nine closely related species collectively termed the Burkholderia cepacia complex (BCC). Unfortunately, 16S rRNA gene analysis has proven to be not sensitive enough to discriminate between species of the BCC. Alternative species identification strategies such as recA-based PCR followed by restriction fragment length polymorphism analysis, although initially useful, have proven to be inaccurate with the increasing species diversity of the BCC. recA gene sequence analysis is more discriminatory and corroborates other biochemical and polyphasic means of taxonomic differentiation. However, it is limited by the fact that certain BCC species are subdivided into discrete recA sequence subgroups that may confuse clinical diagnoses. In this study, an effective approach is described for the rapid differentiation of BCC species from both environmental and clinical sources by means of a single-locus sequencing and PCR assay using fur as a target gene that provides sequence phylogenies that are species specific and, with few exceptions, not divided into subspecies clusters. This assay is specific and can be used to correctly determine the species status of BCC strains tested following sequencing and amplification of the fur gene by both general and species-specific primers. Based on our results, this typing strategy is simpler than and as sensitive as established tests currently in use clinically. This assay is useful for the rapid, definitive identification of all nine current BCC species and potentially novel species groups.

SUBMITTER: Lynch KH

PROVIDER: S-EPMC2238088 | biostudies-literature | 2008 Feb

REPOSITORIES: biostudies-literature

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Development of a species-specific fur gene-based method for identification of the Burkholderia cepacia complex.

Lynch Karlene H KH Dennis Jonathan J JJ Dennis Jonathan J JJ

Journal of clinical microbiology 20071205 2

Burkholderia is an important bacterial genus with a complex taxonomy that contains species of both ecological and pathogenic importance, including nine closely related species collectively termed the Burkholderia cepacia complex (BCC). Unfortunately, 16S rRNA gene analysis has proven to be not sensitive enough to discriminate between species of the BCC. Alternative species identification strategies such as recA-based PCR followed by restriction fragment length polymorphism analysis, although ini ...[more]

PMID: 18057135

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Project description:Definitive identification of the species in the Burkholderia cepacia complex by routine clinical microbiology methods is difficult. Phenotypic tests to identify B. multivorans and B. vietnamiensis have been established; more recent work indicates B. stabilis may also be identified by growth characteristics and biochemical tests. However, attempts to identify genomovars I and III have, thus far, proved unsuccessful. Previously, we demonstrated the utility of two primer pairs, directed to the rRNA operon, to specifically identify the B. cepacia complex in a PCR. One of these primer pairs, G1-G2, only amplified a DNA fragment from genomovars I and III and B. stabilis in a PCR with genomic DNA isolated from prototypical strains representing the five genomovars. Sequence analysis of the rRNA operon for all the genomovars indicated that this primer pair targeted a region shared by these isolates. Further analysis revealed a region of heterogeneity between genomovar III and B. stabilis internal to the amplified product of G1-G2. Primers designed to target this region were tested with prototypical strains following an initial amplification with the G1-G2 primer pair. New primers specific for the prototypical genomovar III and B. stabilis were designated SPR3 and SPR4, respectively. Analysis of 93 isolates representing 18 genomovar I, 13 B. multivorans, 36 genomovar III, 11 B. stabilis, and 15 B. vietnamiensis isolates was performed. DNA from all isolates of genomovars I and III and B. stabilis was amplified by G1-G2. Genomovar III isolates yielded a product with SPR3/G1 while B. stabilis amplified with SPR4-G1. Genomovar I isolates were amplified by either SPR3-G1 or SPR4-G1, but not both. B. multivorans yielded a product with SPR3-G1 but not G1-G2, and B. vietnamiensis isolates were negative in all PCRs. Thus using an algorithm with G1-G2, SPR3-G1, and SPR4-G1 primers in a PCR analysis, genomovar III isolates can be separated from B. stabilis and the identity of B. multivorans and B. vietnamiensis can be confirmed.

Project description:Ancestral genetic exchange between members of many important bacterial pathogen groups has resulted in phylogenetic relationships better described as networks than as bifurcating trees. In certain cases, these reticulated phylogenies have resulted in phenotypic and molecular overlap that challenges the construction of practical approaches for species identification in the clinical microbiology laboratory. Burkholderia cepacia complex (Bcc), a betaproteobacteria species group responsible for significant morbidity in persons with cystic fibrosis and chronic granulomatous disease, represents one such group where network-structured phylogeny has hampered the development of diagnostic methods for species-level discrimination. Here, we present a phylogeny-informed proteomics approach to facilitate diagnostic classification of pathogen groups with reticulated phylogenies, using Bcc as an example. Starting with a set of more than 800 Bcc and Burkholderia gladioli whole-genome assemblies, we constructed phylogenies with explicit representation of inferred interspecies recombination. Sixteen highly discriminatory peptides were chosen to distinguish B. cepacia, Burkholderia cenocepacia, Burkholderia multivorans, and B. gladioli and multiplexed into a single, rapid liquid chromatography-tandem mass spectrometry multiple reaction monitoring (LC-MS/MS MRM) assay. Testing of a blinded set of isolates containing these four Burkholderia species demonstrated 50/50 correct automatic negative calls (100% accuracy with a 95% confidence interval [CI] of 92.9 to 100%), and 70/70 correct automatic species-level positive identifications (100% accuracy with 95% CI 94.9 to 100%) after accounting for a single initial incorrect identification due to a preanalytic error, correctly identified on retesting. The approach to analysis described here is applicable to other pathogen groups for which development of diagnostic classification methods is complicated by interspecies recombination.

Project description:BACKGROUND: The Burkholderia cepacia complex (Bcc) groups bacterial species with beneficial properties that can improve crop yields or remediate polluted sites but can also lead to dramatic human clinical outcomes among cystic fibrosis (CF) or immuno-compromised individuals. Genome-wide regulatory processes of gene expression could explain parts of this bacterial duality. Transcriptional sigma70 factors are components of these processes. They allow the reversible binding of the DNA-dependent RNA polymerase to form the holoenzyme that will lead to mRNA synthesis from a DNA promoter region. Bcc genome-wide analyses were performed to investigate the major evolutionary trends taking place in the sigma70 family of these bacteria. RESULTS: Twenty sigma70 paralogous genes were detected in the Burkholderia cenocepacia strain J2315 (Bcen-J2315) genome, of which 14 were of the ECF (extracytoplasmic function) group. Non-ECF paralogs were related to primary (rpoD), alternative primary, stationary phase (rpoS), flagellin biosynthesis (fliA), and heat shock (rpoH) factors. The number of sigma70 genetic determinants among this genome was of 2,86 per Mb. This number is lower than the one of Pseudomonas aeruginosa, a species found in similar habitats including CF lungs. These two bacterial groups showed strikingly different sigma70 family architectures, with only three ECF paralogs in common (fecI-like, pvdS and algU). Bcen-J2315 sigma70 paralogs showed clade-specific distributions. Some paralogs appeared limited to the ET12 epidemic clone (ecfA2), particular Bcc species (sigI), the Burkholderia genus (ecfJ, ecfF, and sigJ), certain proteobacterial groups (ecfA1, ecfC, ecfD, ecfE, ecfG, ecfL, ecfM and rpoS), or were broadly distributed in the eubacteria (ecfI, ecfK, ecfH, ecfB, and rpoD-, rpoH-, fliA-like genes). Genomic instability of this gene family was driven by chromosomal inversion (ecfA2), recent duplication events (ecfA and RpoD), localized (ecfG) and large scale deletions (sigI, sigJ, ecfC, ecfH, and ecfK), and a phage integration event (ecfE). CONCLUSION: The Bcc sigma70 gene family was found to be under strong selective pressures that could lead to acquisition/deletion, and duplication events modifying its architecture. Comparative analysis of Bcc and Pseudomonas aeruginosa sigma70 gene families revealed distinct evolutionary strategies, with the Bcc having selected several alternative primary factors, something not recorded among P. aeruginosa and only previously reported to occur among the actinobacteria.

Dataset Information

Development of a species-specific fur gene-based method for identification of the Burkholderia cepacia complex.

Publications

Development of a species-specific fur gene-based method for identification of the Burkholderia cepacia complex.

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