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Isolation of Culturable Yeasts and Molds from Soils to Investigate Fungal Population Structure
Published on: May 27, 2022
Multilocus DNA sequence comparisons rapidly identify pathogenic molds
Jennifer L Rakeman1, Uyen Bui, Karen Lafe
1Department of Laboratory Medicine, University of Washington, Box 357110, Seattle, WA 98195, USA.
Abstract:
The increasing incidence of opportunistic fungal infections necessitates rapid and accurate identification of the associated fungi to facilitate optimal patient treatment. Traditional phenotype-based identification methods utilized in clinical laboratories rely on the production and recognition of reproductive structures, making identification difficult or impossible when these structures are not observed. We hypothesized that DNA sequence analysis of multiple loci is useful for rapidly identifying medically important molds. Our study included the analysis of the D1/D2 hypervariable region of the 28S ribosomal gene and the internal transcribed spacer (ITS) regions 1 and 2 of the rRNA operon. Two hundred one strains, including 143 clinical isolates and 58 reference and type strains, representing 43 recognized species and one possible new species, were examined. We generated a phenotypically validated database of 118 diagnostic alleles. DNA length polymorphisms detected among ITS1 and ITS2 PCR products can differentiate 20 of 33 species of molds tested, and ITS DNA sequence analysis permits identification of all species tested. For 42 of 44 species tested, conspecific strains displayed >99% sequence identity at ITS1 and ITS2; sequevars were detected in two species. For all 44 species, identifications by genotypic and traditional phenotypic methods were 100% concordant. Because dendrograms based on ITS sequence analysis are similar in topology to 28S-based trees, we conclude that ITS sequences provide phylogenetically valid information and can be utilized to identify clinically important molds. Additionally, this phenotypically validated database of ITS sequences will be useful for identifying new species of pathogenic molds.
Insights
DNA sequencing of internal transcribed spacer (ITS) regions rapidly and accurately identifies medically important molds, overcoming limitations of traditional methods. This molecular approach aids in diagnosing fungal infections and discovering new species.
Area of Science:
- Medical Mycology
- Molecular Biology
- Clinical Diagnostics
Background:
- Opportunistic fungal infections are increasing, requiring rapid and accurate fungal identification for effective patient treatment.
- Traditional phenotypic identification methods in clinical labs are limited by the need for observable reproductive structures, hindering identification in many cases.
Purpose of the Study:
- To evaluate the utility of DNA sequence analysis of multiple loci for the rapid identification of medically important molds.
- To establish a phenotypically validated database of internal transcribed spacer (ITS) sequences for fungal identification.
Main Methods:
- Analysis of the D1/D2 region of the 28S ribosomal gene and the internal transcribed spacer (ITS) regions 1 and 2 of the rRNA operon.
- Examination of 201 fungal strains, including clinical isolates and reference strains, representing 43 recognized species and one potential new species.
- Generation of a phenotypically validated database of 118 diagnostic alleles.
Main Results:
- Internal transcribed spacer (ITS) DNA sequence analysis identified all 44 species tested, while DNA length polymorphisms differentiated 20 of 33 mold species.
- Conspecific strains showed >99% sequence identity at ITS1 and ITS2 for 42 of 44 species, with sequevars detected in two species.
- Genotypic and traditional phenotypic identifications were 100% concordant for all 44 species, and ITS sequences provided phylogenetically valid information.
Conclusions:
- Internal transcribed spacer (ITS) DNA sequence analysis is a reliable and rapid method for identifying clinically important molds, complementing traditional methods.
- The phenotypically validated ITS sequence database is valuable for identifying known pathogenic molds and discovering new species.
- Molecular identification using ITS sequences offers a significant advancement in managing opportunistic fungal infections.
Related Concept Videos
Modern Molecular Taxonomy
Rapid Identification of Pathogens
Evolutionary Relationships through Genome Comparisons
Applications of Molecular Taxonomy
Methods of Classification and Identification

