A. Mcdowell et al., PCR-based detection and identification of Burkholderia cepacia complex pathogens in sputum from cystic fibrosis patients, J CLIN MICR, 39(12), 2001, pp. 4247-4255
PCR amplification of the recA gene followed by restriction fragment length
polymorphism (RFLP) analysis was investigated for the rapid detection and i
dentification of Burkholderia cepacia complex genomovars directly from sput
um. Successful amplification of the B. cepacia complex recA gene from cysti
c fibrosis (CF) patient sputum samples containing B. cepacia genomovar I, B
urkholderia multivorans, B. cepacia genomovar III, Burkholderia stabilis, a
nd Burkholderia vietnamiensis was demonstrated. In addition, the genomovar
identifications determined directly from sputum were the same as those obta
ined after selective culturing. Sensitivity experiments revealed that recA-
based PCR could reliably detect B. cepacia complex organisms to concentrati
ons of 10(6) CFU g of sputum(-1). To fully assess the diagnostic value of t
he method, sputum samples from 100 CIT patients were screened for B. cepaci
a complex infection by selective culturing and recA-based PCR. Selective cu
lturing identified 19 samples with presumptive B. cepacia complex infection
, which was corroborated by phenotypic analyses. Of the culture-positive sp
utum samples, 17 were also detected directly by recA-based PCR, while 2 sam
ples were negative. The isolates cultured from both recA-negative sputum sa
mples were subsequently identified as Burkholderia gladioli. RFLP analysis
of the recA amplicons revealed 2 patients (12%) infected Kith B. multivoran
s, 11 patients (65%) infected with B. cepacia genomovar III-A, and 4 patien
ts (23%) infected with B. cepacia genomovar III-B. These results demonstrat
e the potential of recA-based PCR-RFLP analysis for the rapid detection and
identification of B. cepacia complex genomovars directly from sputum. Wher
e the sensitivity of the assay proves a limitation, sputum samples can be a
nalyzed by selective culturing followed by recA-based analysis of the isola
te.