Identification of pathogenic fungi using computational and molecular biological approaches

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

1 Citation (Scopus)

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
StatePublished - 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

Fingerprint

Polymerase chain reaction
Fungi
Assays
High performance liquid chromatography
Chromatography
Microbiology
Ions
Polymorphism
Testing

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).

Identification of pathogenic fungi using computational and molecular biological approaches. / Chandio, Sarfraz H.; Bastola, Dhundy Raj; Iwen, Peter Charles; Hinrichs, Steven Heye.

2005 IEEE International Conference on Electro Information Technology. 2005. 1627000 (2005 IEEE International Conference on Electro Information Technology; Vol. 2005).

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

Chandio, SH, Bastola, DR, Iwen, PC & Hinrichs, SH 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, 2005 IEEE International Conference on Electro Information Technology, Lincoln, NE, United States, 5/22/05.
Chandio SH, Bastola DR, Iwen PC, Hinrichs SH. Identification of pathogenic fungi using computational and molecular biological approaches. In 2005 IEEE International Conference on Electro Information Technology. 2005. 1627000. (2005 IEEE International Conference on Electro Information Technology).
Chandio, Sarfraz H. ; Bastola, Dhundy Raj ; Iwen, Peter Charles ; Hinrichs, Steven Heye. / Identification of pathogenic fungi using computational and molecular biological approaches. 2005 IEEE International Conference on Electro Information Technology. 2005. (2005 IEEE International Conference on Electro Information Technology).
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