Sorry, you need to enable JavaScript to visit this website.

RecA gene sequence and Multilocus Sequence Typing for species-level resolution of Burkholderia cepacia complex isolates

TitleRecA gene sequence and Multilocus Sequence Typing for species-level resolution of Burkholderia cepacia complex isolates
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2009
AuthorsCesarini, Silvia, Bevivino Annamaria, Tabacchioni Silvia, Chiarini L., and Dalmastri Claudia
JournalLetters in Applied Microbiology
Volume49
Pagination580 - 588
Date Published2009///
KeywordsBurkholderia cepacia complex, Multilocus Sequence Typing, RecA-based identification
Abstract

Aim: To identify, by means of recA sequencing and multilocus sequence typing (MLST), Burkholderia cepacia complex (BCC) isolates of environmental and clinical origin, which failed to be identified by recA RFLP and species-specific PCR. Methods and Results: By using recA sequence-based identification, 17 out of 26 BCC isolates were resolved at the level of species and lineage (ten Burkholderia cenocepacia IIIB, two Burkholderia arboris and five Burkholderia lata). By using MLST method, 24 BCC isolates were identified. MLST confirmed recA sequence results, and, furthermore, enabled to identify isolates of the BCC5 group, and showed relatedness with Burkholderia contaminans for one of the two isolates not identified. Conclusions: recA sequence-based identification allowed to resolve, at the level of species and lineage, 65·4%, of the BCC isolates examined, whilst MLST increased this percentage to 88·5%. Significance and Impact of the Study: BCC isolates previously not resolved by recA RFLP and species-specific PCR were successfully identified by means of recA sequencing and MLST, which represent the most appropriate methods to identify difficult strains for epidemiological purposes and cystic fibrosis patients management.

Notes

Cited By (since 1996): 3Export Date: 26 August 2010Source: Scopus

URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350023185&partnerID=40&md5=4fe822e35ca789448b25cc975b19a626
Citation Key314