Identification of pathogenic fungi using computational and molecular biological approaches

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The lack of rapid diagnostic procedures is a major obstacle in the successful management of fungal disease. Most of the methods now used in the microbiology laboratory include growth-based phenotypic testing. However, Polymerase Chain Reaction (PCR) has allowed for rapid identification of organism without the need for a growing culture. An ion-paired reverse phase chromatography (IP-RP)-based assay using High performance liquid chromatography (HPLC) was developed with commercially available IP-RP-HPLC system called the WAVE to differentiate medically important fungi. Universal fungus-specific primers and Restriction Fragment Length Polymorphism (RFLP) of PCR amplicon were done prior to WAVE analysis. The assay was enhanced when combined with a searchable relational database of retention time. Discrimination among closely related fungal species was possible by evaluation of distinct-retention time patterns. This assay is simple, rapid, and allows for the identification of medically important fungi by searching the database with the information obtained from PCR-WAVE analysis.

Original languageEnglish (US)
Title of host publication2005 IEEE International Conference on Electro Information Technology
Publication statusPublished - Dec 1 2005
Event2005 IEEE International Conference on Electro Information Technology - Lincoln, NE, United States
Duration: May 22 2005May 25 2005

Publication series

Name2005 IEEE International Conference on Electro Information Technology
Volume2005

Conference

Conference2005 IEEE International Conference on Electro Information Technology
CountryUnited States
CityLincoln, NE
Period5/22/055/25/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chandio, S. H., Bastola, D. R., Iwen, P. C., & Hinrichs, S. H. (2005). Identification of pathogenic fungi using computational and molecular biological approaches. In 2005 IEEE International Conference on Electro Information Technology [1627000] (2005 IEEE International Conference on Electro Information Technology; Vol. 2005).