The purpose of this study was to evaluate the possibility of using a semi-automated repetitive DNA sequences-based polymerase chain reaction (rep-PCR) for typing Pseudomonas aeruginosa isolates. rep-PCR profiles obtained by the DiversiLab system of 84 P. aeruginosa isolates from distinct epidemiological situations were obtained. rep-PCR groupings were in good agreement with the origin of these isolates. Linked rep-PCR profiles were observed for isolates recovered from a same family of cystic fibrosis (CF) patients, for the etiological agents of clustered cases of nosocomial infections, and for some isolates recovered from a same hospital room. rep-PCR and pulsed-field gel electrophoresis SpeI restricted genomic DNA (PFGE-SpeI) profiles were compared. In a few instances, rep-PCR revealed genetic divergences among isolates of a same group of PFGE-SpeI profiles. These divergences could reflect genetic drifts among closely related isolates, as illustrated by those observed between clinical and environmental isolates of a same group of PFGE-SpeI profiles. The interpretation of such differences will require further studies, but the rep-PCR analysis of P. aeruginosa diversity appeared to be an appropriate method to investigate infra-specific genetic relatedness.

The spread of multiresistant bacteria increases the need for new antibiotics. The observation that some nucleoside analogues have antibacterial activity led us to further investigate the antimicrobial activity and resistance of zidovudine (AZT). We determined the minimum inhibition concentration (MIC), studied time-kill curves, induced resistant bacteria and sequenced the gene for thymidine kinase. We demonstrate that AZT has a bactericidal effect on some enterobacteria. However, AZT could induce resistance in Escherichia coli. These resistances were associated with various modifications in the thymidine kinase gene. In particular, we observed the presence in this gene of an insertion sequence (IS) similar to IS911 of Shigella dysenteriae in two resistant clones. No cross-resistance with classical antibiotics in strains with modified thymidine kinase gene was observed. Finally, an additive or synergistic activity between AZT and the two aminoglycoside antibiotics amikacin and gentamicin was observed. We demonstrate the bactericidal activity of AZT and show synergy in association with gentamicin. Genetic modifications in resistant bacteria were identified. Our results indicate that AZT could potentially be added in the treatment of infections with enterobacteria or represent the basis for the development of derivatives with better activity and inducing less resistance.

Aims:  To investigate infra‐specific spatio‐temporal dynamics of a hospital water network Pseudomonas aeruginosa population. To infer the origin of water network isolates and assess their potential health hazard. Methods and Results:  168 P. aeruginosa strains were isolated from tap waters and swabs of tap nozzle aerators of a hospital unit, over 2 years, and from rectal swabs and nosocomial infections. Genetic diversity among this collection was assessed by pulsed field gel electrophoresis of SpeI restricted genomic DNA. Virulence gene sets, biofilm properties, and hypochlorite resistance were analysed. Exactly 68% of the water samples and 74% of the tap nozzle aerators harboured P. aeruginosa. The strains were divided into 22 clonal lineages, with one dominant clone shown to have been involved in a nosocomial infection. Conclusions:  An important turnover among the P. aeruginosa hospital population was observed. Some clonal lineages were found to persist, spread in the unit, and diversify into clonal complexes. Rectal carriage appeared an important source of contamination of the water network. Significance and Impact of the Study:  High P. aeruginosa infra‐specific population diversity suggested a broad ability in colonizing water networks but persistence analysis indicated a strong selection leading to the emergence of dominant clones.

No abstract

API Candida was evaluated in comparison with the ID 32C system for the identification of 619 yeast isolates. The sensitivity of API Candida for the identification of the 15 species it claims to identify with and without additional tests was 97.4% (593 of 609) and 75.2% (458 of 609), respectively. The API Candida system is easy to use and rapid (result in 18 to 24 h).