A simple polymerase chain reaction-sequencing analysis capable of identifying multiple medically relevant filamentous

Timothy R Dean1, Michael Kohan, Doris Betancourt

  • 1National Risk Management Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA. dean.timothy@epa.gov

Mycopathologia
|October 14, 2006
PubMed

Insights

Accurate identification of indoor mold is crucial for health. A new PAN-PCR method combined with sequencing offers a rapid, specific, and cost-effective way to identify multiple fungal species, improving indoor air quality assessments.

Area of Science:

  • Environmental Science
  • Microbiology
  • Molecular Biology

Background:

  • Indoor environmental health issues are often linked to abnormal filamentous fungi (mold) growth.
  • Traditional mold identification relies on time-consuming and potentially inaccurate morphological assessments.
  • There is a need for rapid, sensitive, and precise methods for mold identification.

Purpose of the Study:

  • To develop and validate a novel method for the unambiguous identification of multiple fungal organisms.
  • To provide a rapid, specific, and cost-effective alternative to traditional mold identification techniques.

Main Methods:

  • A PAN-PCR (Polymerase Chain Reaction) approach was employed using universal primers to amplify ribosomal DNA sequences.
  • Amplified DNA sequences were cloned into Escherichia coli.
  • Individual clones were sequenced and analyzed for unambiguous identification of fungal species.

Main Results:

  • The PAN-PCR method successfully identified multiple fungal species, including Stachybotrys chartarum, Penicillium purpurogenum, Aspergillus sydowii, and Cladosporium cladosporioides from a mixed culture.
  • The method demonstrated high specificity and accuracy.
  • The protocol was found to be rapid, easy to perform, and cost-effective.

Conclusions:

  • The devised PAN-PCR coupled with cloning and sequencing is a powerful tool for accurate and timely identification of indoor mold species.
  • This method addresses the limitations of traditional morphological identification, offering significant advantages for indoor environmental quality assessments.
  • The approach facilitates precise identification of fungi, contributing to better understanding and management of health-related issues linked to indoor mold exposure.

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