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DNA and the classical way: identification of medically important molds in the 21st century
S Arunmozhi Balajee1, Lynne Sigler, Mary E Brandt
1Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Abstract:
The advent of the 21st century has seen significant advances in the methods and practices used for identification of medically important molds in the clinical microbiology laboratory. Historically, molds have been identified by using observations of colonial and microscopic morphology, along with tables, keys and textbook descriptions. This approach still has value for the identification of many fungal organisms, but requires expertise and can be problematic in determining a species identification that is timely and useful in the management of high-risk patients. For the increasing number of isolates that are uncommon, atypical, or unusual, DNA-based identification methods are being increasingly employed in many clinical laboratories. These methods include the commercially available GenProbe assay, methods based on the polymerase chain reaction such as single-step PCR, RAPD-PCR, rep-PCR, nested PCR, PCR-RFLP, PCR-EIA, and more recent microarray-based, Luminex technology-based, and real-time PCR-based methods. Great variation in assay complexity, targets, and detection methods can be found, and many of these methods have not been widely used or rigorously validated. The increasing availability of DNA sequencing chemistry has made comparative DNA sequence analysis an attractive alternative tool for fungal identification. DNA sequencing methodology can be purchased commercially or developed in-house; such methods display varying degrees of usefulness depending on the breadth and reliability of the databases used for comparison. The future success of sequencing-based approaches will depend on the choice of DNA target, the reliability of the result, and the availability of a validated sequence database for query and comparison. Future studies will be required to determine sequence homology breakpoints and to assess the accuracy of molecular-based species identification in various groups of medically important filamentous fungi. At this time, a polyphasic approach to identification that combines morphologic and molecular methods will ensure the greatest success in the management of patients with fungal infections.
Insights
Accurate identification of medically important molds is crucial for patient care. Molecular methods, including DNA sequencing, offer advanced identification, but a combined morphologic and molecular approach ensures the best results for managing fungal infections.
Area of Science:
- Clinical Microbiology
- Mycology
- Molecular Diagnostics
Background:
- Traditional mold identification relies on morphology, requiring expertise and potentially causing delays.
- Uncommon or atypical mold isolates pose challenges for conventional identification methods.
- Advances in molecular techniques are increasingly utilized in clinical laboratories for fungal identification.
Purpose of the Study:
- To review and discuss the evolution of mold identification methods in clinical microbiology.
- To highlight the advantages and limitations of various DNA-based identification techniques.
- To emphasize the importance of a combined approach for accurate and timely diagnosis.
Main Methods:
- Review of traditional morphologic identification techniques.
- Analysis of various DNA-based methods: polymerase chain reaction (PCR) assays, microarray, Luminex, real-time PCR, and DNA sequencing.
- Discussion of database reliability and target selection for molecular methods.
Main Results:
- Morphologic identification remains valuable but can be time-consuming and requires significant expertise.
- Numerous DNA-based methods exist, varying in complexity and validation status.
- DNA sequencing offers an attractive alternative, contingent on robust databases and target selection.
Conclusions:
- A polyphasic approach, integrating morphologic and molecular methods, is essential for successful patient management.
- Further studies are needed to validate molecular-based species identification accuracy for filamentous fungi.
- Optimizing DNA target selection and database reliability is crucial for future sequencing-based approaches.
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