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J Med Microbiol 52 (2003), 1071-1076; DOI: 10.1099/jmm.0.05302-0
© 2003 Society for General Microbiology
ISSN 0022-2615

Species identification of medically important fungi by use of real-time LightCycler PCR

Min-Chih Hsu1, Kuo-Wei Chen1, Hsiu-Jung Lo2, Yee-Chun Chen3, Mei-Hui Liao1, Yu-Hui Lin1 and Shu-Ying Li1

1Laboratory for Mycopathogen, Chlamydia and Mycoplasma, Division of Laboratory Research and Development, Center for Disease Control, Taipei, Taiwan 2Division of Clinical Research, National Health Research Institutes, Taipei, Taiwan 3Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

Correspondence Shu-Ying Li syl{at}cdc.gov.tw

Received April 25, 2003
Accepted September 8, 2003

Invasive fungal infection has become a major cause of morbidity and mortality in immunocompromised patients. Rapid identification of pathogenic fungi to species level is critical for disease treatment. A real-time LightCycler assay aiming at rapid detection and species identification of pathogenic fungi from clinical isolates was developed. Template DNAs of different species were amplified and detected in real time by employing SYBR Green fluorescent dye. The target sequences for species-level detection were located between the 18S and 28S rDNA. Seven fungal species encountered frequently in the clinical setting, Candida albicans, Candida glabrata, Candida krusei, Candida parapsilosis, Candida tropicalis, Candida guilliermondii and Cryptococcus neoformans, could be discriminated by species-specific primers and confirmed by melting-curve analyses. The range of linearity was from 1 ng to 1 pg (µl-1 water) and the sensitivity was 1 pg fungal DNA µl-1. Identification by this real-time PCR method matched biochemical identification for all 58 clinical strains. Therefore, the method is simple, rapid and sensitive enough for detection and identification of several fungal species.




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