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Review
. 2019 Feb 4;18(1):7.
doi: 10.1186/s12941-019-0306-0.

Accurate identification and epidemiological characterization of Burkholderia cepacia complex: an update

Naveen Kumar Devanga Ragupathi  1 , Balaji Veeraraghavan  2
Affiliations
Review

Accurate identification and epidemiological characterization of Burkholderia cepacia complex: an update

Naveen Kumar Devanga Ragupathi et al. Ann Clin Microbiol Antimicrob. .

Abstract

Bacteria belonging to the Burkholderia cepacia complex (Bcc) are among the most important pathogens isolated from cystic fibrosis (CF) patients and in hospital acquired infections (HAI). Accurate identification of Bcc is questionable by conventional biochemical methods. Clonal typing of Burkholderia is also limited due to the problem with identification. Phenotypic identification methods such as VITEK2, protein signature identification methods like VITEK MS, Bruker Biotyper, and molecular targets such as 16S rRNA, recA, hisA and rpsU were reported with varying level of discrimination to identify Bcc. rpsU and/or 16S rRNA sequencing, VITEK2, VITEK MS and Bruker Biotyper could discriminate between Burkholderia spp. and non-Burkholderia spp. Whereas, Bcc complex level identification can be given by VITEK MS, Bruker Biotyper, and 16S rRNA/rpsU/recA/hisA sequencing. For species level identification within Bcc hisA or recA sequencing are reliable. Identification of Bcc is indispensable in CF patients and HAI to ensure appropriate antimicrobial therapy.

Keywords: Burkholderia cepacia complex; Cystic fibrosis; Hospital acquired infections; hisA; recA; rpsU.

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Figures

Fig. 1
Fig. 1
Algorithm depicting the methods for accurate identification of Burkholderia at genus level (near neighbouring genus), cepacia complex level (Bcc) and species level (within Bcc)
See this image and copyright information in PMC

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