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Computerized restriction endonuclease analysis compared with O-serotype and phage type in the epidemiologic fingerprinting of Pseudomonas aeruginosa strains
Authors:Javier Garaizar,Mikel Latorre,Nuria Ló  pez-Molina,Idoia Laconcha,Leire Alberdi,Aitor Rementeria,Ana Audicana,Rosario Uliarte,Ramó  n Cisterna
Affiliation:Departamento de Inmunología, Microbiología y Parasitología del País Vasco, Vitoria;Laboratorio de Microbiología, Delegación Territorial de Sanidad, Bilbao;Departmento de Enfermería, Universidad del País Vasco, Leioa;Servicio de Microbiología, Hospital de Basurto, Bilbao, Spain
Abstract:Objective: To assess restriction endonuclease analysis (REA) of chromosomal DNA using Sal l enzyme, low-concentration (0.4%) agarose gels and digitalized data management of the REA patterns obtained for the typing of clinical Pseudomonas aeruginosa isolates.
Method: A group of 67 clinical unrelated isolates from 10 Spanish hospitals was used to study the discriminatory power, reproducibility and typeability of REA typing.
Results: A Sal l REA pattern consisted of a variety (1–10) of restriction bands in the range between 12.2 and 48.5 kb and an unresolvable smear of low-molecular-weight bands. Forty different Sal l REA patterns with an index of discrimination of 0.979 were obtained. Low tupeability (91.04%) was the major limitation of REA typing. Analysis of blinded subcultures of eight Pseudomonas aeruguinosa strains showed the reproducibility of REA typing to be 87.5%. Combined phenotypic typing (O-serotyping and phage typing) performed on the same group of strains showed comparable discrimination but much lower reproducibility. Isolates selected from five clusters of nosocomial infections in hospitals in the UK were typed by REA typing, and the results show high agreement when compared with conventional phenotypic typing methods in distinguishing between strains.
Conclusions: These data underline the usefulness of REA typing enhanced with digitalized data management for the epidemiologic subtyping of clinical Pseudomonas aeruginosa isolates.
Keywords:REA    Pseudomonas aeruginosa    epidemiology    typing    computer analysis
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