DNA-based diagnostic approaches for identification of Burkholderia cepaciacomplex, Burkholderia vietnamiensis, Burkholderia multivorans, Burkholderia stabilis, and Burkholderia cepacia genomovars I and III
E. Mahenthiralingam et al., DNA-based diagnostic approaches for identification of Burkholderia cepaciacomplex, Burkholderia vietnamiensis, Burkholderia multivorans, Burkholderia stabilis, and Burkholderia cepacia genomovars I and III, J CLIN MICR, 38(9), 2000, pp. 3165-3173
Bacteria of the Burkholderia cepacia complex consist of five discrete genom
ic species, including genomovars I and III and three new species: Burkholde
ria multivorans (formerly genomovar II), Burkholderia stabilis (formerly ge
nomovar IV), and Burkholderia vietnamiensis (formerly genomovar V). Strains
of all five genomovars are capable of causing opportunistic human infectio
n, and microbiological identification of these closely related species is d
ifficult, The 16S rRNA gene (16S rDNA) and recA gene of these bacteria were
examined in order to develop rapid tests for genomovar identification. Res
triction fragment length polymorphism (RFLP) analysis of PCR-amplified 16S
rDNA revealed sequence polymorphisms capable of identifying B. multivorans
and B. vietnamiensis but insufficient to discriminate strains of B. cepacia
genomovars I and III and B. stabilis, RFLP analysis of PCR-amplified recA
demonstrated sufficient nucleotide sequence variation to enable separation
of strains of all five B. cepacia complex genomovars. Complete recA nucleot
ide sequences were obtained for 20 strains representative of the diversity
of the B. cepacia complex. Construction of a recA phylogenetic tree identif
ied six distinct clusters (recA groups): B. multivorans, B. vietnamiensis,
B. stabilis, genomovar I, and the subdivision of genomovar III isolates int
o two recA groups, III-A and III-B, Alignment of recA sequences enabled the
design of PCR primers for the specific detection of each of the six latter
recA groups. The recA gene was found on the largest chromosome within the
genome of B. cepacia complex strains and, in contrast to the findings of a
previous study, only a single copy of the gene was present. In conclusion,
analysis of the recA gene of the B. cepacia complex provides a rapid and ro
bust nucleotide sequence-based approach to identify and classify this taxon
omically complex group of opportunistic pathogens.