Identification of medically important yeast species by sequence analysis of the internal transcribed spacer regions

Shiang Ning Leaw1, Hsien Chang Chang, Hsiao Fang Sun

  • 1Institute of Biomedical Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan, Republic of China.

Insights

Internal transcribed spacer (ITS) sequencing, particularly ITS2, accurately identifies medically important yeasts. This molecular method offers a reliable alternative to traditional identification techniques for clinical diagnostics.

Area of Science:

  • Medical Mycology
  • Molecular Diagnostics
  • Microbiology

Background:

  • Rising incidence of yeast infections, especially in immunocompromised individuals.
  • Increased reports of infections caused by less common yeast species.
  • Need for accurate and efficient yeast identification methods in clinical settings.

Purpose of the Study:

  • To evaluate the feasibility of internal transcribed spacer (ITS) gene sequencing for identifying clinically relevant yeasts.
  • To compare the accuracy of ITS1 and ITS2 regions for yeast species identification.
  • To establish ITS sequencing as a reliable alternative to conventional identification methods.

Main Methods:

  • Polymerase chain reaction (PCR) amplification and sequencing of ITS1 and ITS2 regions from 373 yeast strains (86 species).
  • Comparison of obtained sequences with GenBank database using BLAST for species identification.
  • Sequencing of the D1-D2 domain of the large-subunit rRNA gene for discrepant results.

Main Results:

  • High correct identification rates: 96.8% for ITS1 and 99.7% for ITS2.
  • Only one strain (Rhodotorula glutinis) could not be identified by ITS2 sequencing.
  • Submission of 15 type/reference strain ITS sequences to GenBank to improve database completeness.

Conclusions:

  • ITS sequencing, particularly the ITS2 region, is a highly accurate and reliable method for identifying medically important yeasts.
  • This molecular approach serves as a valuable alternative to conventional yeast identification techniques.
  • Enhancements to public databases are crucial for comprehensive molecular identification.