Pyrosequencing™ of a recA gene variable region for Burkholderia cepacia complex genomovar identification

2007 ◽  
Vol 58 (4) ◽  
pp. 379-384 ◽  
Author(s):  
Robert Slinger ◽  
Liying Yan ◽  
Rene Myers ◽  
Karam Ramotar ◽  
Melissa St. Denis ◽  
...  
2020 ◽  
Vol 9 (1) ◽  
pp. 51
Author(s):  
Min Yi Wong ◽  
Yuan-Hsi Tseng ◽  
Tsung-Yu Huang ◽  
Bor-Shyh Lin ◽  
Chun-Wu Tung ◽  
...  

Burkholderia cepacia complex (BCC) is a group of closely related bacteria with widespread environmental distribution. BCC bacteria are opportunistic pathogens that cause nosocomial infections in patients, especially cystic fibrosis (CF). Multilocus sequence typing (MLST) is used nowadays to differentiate species within the BCC complex. This study collected 41 BCC isolates from vascular access infections (VAIs) and other clinical infections between 2014 and 2020. We preliminarily identified bacterial isolates using standard biochemical procedures and further conducted recA gene sequencing and MLST for species identification. We determined genetic diversity indices using bioinformatics software. We studied 14 isolates retrieved from patients with VAIs and observed that Burkholderia cepacia was the predominant bacterial species, and B. contaminans followed by B. cenocepacia were mainly retrieved from patients with other infections. According to MLST data, we identified that all B. contaminans isolates belonged to ST102, while a wide variety of sequence types (STs) were found in B. cenocepacia isolates. In summary, the high diversity and easy transmission of BCC increase BCC infections, which provides insights into their potential clinical effects in non-CF infections.


2013 ◽  
Vol 62 (4) ◽  
pp. 373-376 ◽  
Author(s):  
Lucie Navrátilová ◽  
Magdalena Chromá ◽  
Vojtěch Hanulík ◽  
Vladislav Raclavský

The strains belonging to Burkholderia cepacia complex are important opportunistic pathogens in immunocompromised patients and cause serious diseases. It is possible to obtain isolates from soil, water, plants and human samples. Taxonomy of this group is difficult. Burkholderia cepacia complex consists of seventeen genomic species and the genetic scheme is based on recA gene. Commonly, first five genomovars occurre in humans, mostly genomovars II and III, subdivision IIIA. Within this study we tested identification of first five genomovars by PCR with following melting analysis and RFLP. The experiments were targeted on eubacterial 16S rDNA and specific gene recA, which allowed identification of all five genomovars. RecA gene appeared as more suitable than 16S rDNA, which enabled direct identification of only genomovars II and V; genomovars I, III and IV were similar within 16S rDNA sequence.


2013 ◽  
Vol 41 (11) ◽  
pp. 1038-1042 ◽  
Author(s):  
Maria Beatriz Souza Dias ◽  
Larissa G.T. Cavassin ◽  
Valeska Stempliuk ◽  
Luciene S. Xavier ◽  
Renata D. Lobo ◽  
...  

2013 ◽  
Vol 31 (10) ◽  
pp. 665-668 ◽  
Author(s):  
Laura Barrado ◽  
M. Teresa Martinez ◽  
Jennifer Villa ◽  
M. Ángeles Orellana ◽  
Esther Viedma ◽  
...  

2002 ◽  
Vol 70 (5) ◽  
pp. 2715-2720 ◽  
Author(s):  
Karen K. Chu ◽  
Donald J. Davidson ◽  
T. Keith Halsey ◽  
Jacqueline W. Chung ◽  
David P. Speert

ABSTRACT Cystic fibrosis patients infected with strains from different genomovars of the Burkholderia cepacia complex can experience diverse clinical outcomes. To identify genomovar-specific determinants that might be responsible for these differences, we developed a pulmonary model of infection in BALB/c mice. Mice were rendered leukopenic by administration of cyclophosphamide prior to intranasal challenge with 1.6 × 104 bacteria. Five of six genomovar II strains persisted at stable numbers in the lungs until day 16 with minimal toxicity, whereas zero of seven genomovar III strains persisted but resulted in variable toxicity. We have developed a chronic pulmonary model of B. cepacia infection which reveals differences among genomovars in terms of clinical infection outcome.


2003 ◽  
Vol 18 (2) ◽  
Author(s):  
M.L. Garlaschi ◽  
L. Cariani ◽  
M. Busetti ◽  
E. Grasso ◽  
P. Grassi ◽  
...  

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