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Journal of Clinical Microbiology, March 2006, p. 1159-1164, Vol. 44, No. 3
0095-1137/06/$08.00+0 doi:10.1128/JCM.44.3.1159-1164.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
í1,2*Institute of Public Health, Centre for Microbiology, Parasitology and Immunology, Partyzánské nám. 7, 702 00 Ostrava, Czech Republic,1 DSMZDeutsche Sammlung von Mikroorganismen und Zellkulturen, Mascheroder Weg 1b, 38124 Braunschweig, Germany2
Received 7 July 2005/ Returned for modification 29 August 2005/ Accepted 5 January 2006
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Identification of BCC isolates to the species level based on the results obtained by genotypic methods, such as restriction fragment length polymorphism analysis of the recA gene or 16S rRNA genes (17, 18) and recA gene-based PCR (4), is mostly done with research tools provided in reference centers. Phenotypic testing is still frequently used in routine laboratories. Because of constantly changing taxonomy, such identification could be inaccurate. Databases of commonly used commercial kits are often incomplete and may even be insufficient to properly discern BCC isolates from other phylogenetically related isolates or from Ralstonia pickettii and Pandoraea spp. commonly isolated from clinical human sources.
Cellular fatty analysis using semiautomated gas chromatography by the microbial identification system (MIS) Sherlock (MIDI, Inc., Newark, Del.) is a relatively rapid and cost-effective method widely available and suitable for clinical laboratories. Identification based on the species-specific differences in fatty acid composition in cell lipidic structure was proved to be a good taxonomic marker (15). Contrary to phenotyping, previous studies have shown that analysis of cellular fatty acid components was able to distinguish between the genera Burkholderia, Ralstonia, and Pandoraea (1, 19). Fatty acids of the BCC are rather uniform; nevertheless, species-specific differences useful to separate B. anthina or B. ambifaria from B. cepacia and B. cenocepacia were observed (2, 13). So far there are no reports that include and compare the fatty acid compositions of all known BCC species and related taxa under standardized culture conditions. In this study, we tested whether comparing fatty acid profiles obtained on MIS Sherlock could yield the ability to sufficiently discriminate between BCC species and other closely related taxa.
Type strains (Tables 1 and 2) and a set including 47 well-characterized clinical isolates recovered during a half-year survey in 2002 in two town hospitals and several ambulatory medical practices in our region (Ostrava, Czech Republic) were studied. Isolates (one per patient) originated primarily from non-CF patients (sputum, blood cultures, wound and vaginal swabs, urine, catheter isolates, and isolates from the hospital environment; two B. cenocepacia strains were obtained from the sputum of CF patients). Tentative phenotypic identification as BCC was performed by commercially available biochemical tests (NEFERMtest24; Pliva-Lachema Diagnostika) and additional conventional testing (6; unpublished data). BCC species were determined by recA gene-based PCR assay as described previously (4). Differences in fatty acid compositions of other organisms (Inquilinus limosus and members of the genera Cupriavidus, Achromobacter, and Delftia) which were previously found in the respiratory tracts of cystic fibrosis patients or misidentified as BCC or Pandoraea spp. (1, 12) were also compared (Tables 1 and 2).
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TABLE 1. Fatty acid compositions of all nine BCC type strainsa
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TABLE 2. Fatty acid compositions of species related to the BCCa
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As with other commercially available BCC differentiation systems, the usefulness of standard libraries included in MIS Sherlock software is limited. From nine species belonging to the BCC, it offers entries of only B. cepacia (CLIN50 and TSBA50 libraries) and B. pyrrocinia (TSBA50 library). Generally, application of both libraries is appropriate for differentiation of phenotypically related R. pickettii and Pandoraea spp. from BCC. The TSBA50 comprises a wider database supplemented with more recently described new species than the CLIN50 library, so the TSBA50 library is more favorable for the standard library comparison than the CLIN50. Also, the addition of blood to the CLIN50 standard medium enhances the variability of the fatty acid patterns. After the comparison of fatty acid profiles with the TSBA50 library, all BCC strains were identified, mostly as B. cepacia, B. gladioli, or B. pyrrocinia (Tables 1 and 2). Interestingly, only the B. multivorans type strain was misidentified as Serratia odorifera or Raoultella terrigena; all other B. multivorans clinical isolates were "correctly" recognized as B. cepacia. That was probably because the B. multivorans type strain showed a larger amount of C16:1
7c than of C18:1
7c fatty acid, which was just the opposite of results obtained with B. multivorans clinical isolates.
The possibility of identifying BCC species was further evaluated by the detailed inspection of FAME profiles. There, such fatty acids which would be characteristic for BCC as a group or even for one particular BCC species and whose amount would be minimally influenced by cultivation conditions were searched. Analysis showed that the chosen incubation period and medium affected mostly the amounts of unsaturated and cyclopropane fatty acids (data not shown). This could be the reason why we did not confirm previously published results regarding B. ambifaria (2). In our study, the amounts of the unsaturated C16:1
7c and C18:1
7c fatty acids and of the cyclopropane fatty acids C17:0 and C19:0
8c detected in B. ambifaria were comparable with amounts detected in other BCC members. Differences can be easily explained by the biosynthesis pathway of the cyclopropane fatty acids. In the stationary phase of growth, a part of the unsaturated fatty acids is transferred into the corresponding cyclopropane fatty acid, i.e., C18:1
7c to C19:0 cyclo
7c, by insertion of a methyl group through S-adenosylmethionine into the double bond of the fatty acid, leading to the cyclic cis-11,12-methylenoctadecanoic acid (lactobacillic acid). The sums of unsaturated fatty acids and the corresponding cyclopropane fatty acids were nearly the same amounts in both studies, and these summed values were independent of the length of cultivation. Identification of BCC to the species level due to the amounts of unsaturated or cyclopropane fatty acids proved to be inappropriate, notably in view of potentially diverse laboratory practices. If insufficient growth of a strain appears, it is recommended to prolong the cultivation period or to change the harvested quadrant. Which possibility will be chosen depends on the laboratory's way of carrying out the standard cultivation.
Saturated C12:0, C14:0, and C18:0 fatty acids were considered better markers because they were stable and did not alter significantly with different cultivation conditions. Based on the quantitative differences of these diagnostic fatty acids, we tried to construct an identification key (Fig. 1). The key was constructed to be able to evaluate FAME profiles gained after all cultivation methods were used.
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FIG. 1. Key for identification of presumptive BCC isolates according to their fatty acid compositions. Fatty acid compositions obtained by the cultivation of strains along all conditions described (TSBA50 and CLIN50 standard libraries and TSBA50 prolonged up to 48 h) can be evaluated using this identification key. "b" indicates that this composition is also valid for Cupriavidus spp. (C. necator, C. gilardii, C. pauculus, C. taiwanensis, and C. respiraculi) previously found in the respiratory tracts of CF patients (formerly described as Ralstonia or Wautersia) (see references 3, 11, 16, and 19).
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According to the proposed identification key, the possibility of differentiating B. pyrrocinia, B. ambifaria, and B. vietnamiensis species was tested by the two-dimensional plot cluster analysis technique (Fig. 2), which uses principal component analysis to separate groups of samples in n-dimensional spaces to find relationships among fatty acid profiles (Library Generation Software LGS user's manual, version 4.5; MIDI, Inc., Newark, Del.). According to the created two-dimensional plot, it is obvious that observed differences in the amounts of both C14:0 and C18:0 fatty acids distinguish B. pyrrocinia, B. ambifaria, and B. vietnamiensis from the remaining BCC species. In the two-dimensional plot, the fatty acid profile comparison was not based on C12:0, because this fatty acid was not present in all strains tested. Just the presence of C12:0 fatty acid additionally improved the distinction of B. ambifaria and B. pyrrocinia from other BCC members.
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FIG. 2. Relationships among fatty acid profiles depicted in the two-dimensional plot according to the diagnostic fatty acids C14:0 and C18:0, which were present in all BCC type strains and 47 clinical isolates. The asterisk indicates the B. multivorans type strain. For fatty acid profiles used in the two-dimensional plot, strains were cultivated along conditions for the TSBA50 standard library. Reproducibility was ensured by three independent analyses of each strain tested.
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If there is reason to hesitate about BCC identification, an identification key which offers verification through simple checking of single diagnostic fatty acids could be applied as an additional tool to the standard MIS Sherlock library comparison. FAME analysis could be helpful to confirm B. ambifaria or B. pyrrocinia, which can generate aberrant 16S rRNA gene-based restriction profiles (17). The appearance of C12:0 fatty acid in recA restriction fragment length polymorphism types Se6 and AR of B. pyrrocinia (10) enables the use of fatty acid analysis as a method of choice for differentiation from B. cepacia. The two named species can positively react with the same recA gene primers (18). These primers were originally designed for B. cepacia; a recA gene-based PCR assay specific only for B. pyrrocinia has not been published yet.
Nevertheless, the differentiation of BCC members to the species level using the identification key is limited; only B. vietnamiensis, B. ambifaria, and B. pyrrocinia could be recognized solely on the basis of the fatty acid analysis. Identification of other BCC members, e.g., the most transmissible species among CF patients, B. cenocepacia, B. multivorans, and B. stabilis, frequently isolated from the respiratory tracts of CF patients must be achieved by more accurate genotypic methods.
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evínek, P., H. Hrbá
ková, O. Cinek, J. Barto
ová, O. Ny
, A. Nemec, and P. Pohunek. 2002. Direct PCR detection of Burkholderia cepacia complex and identification of its genomovars by using sputum as source of DNA. J. Clin. Microbiol. 40:3485-3488.
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