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  • Title: Application of Ribosomal Internal Transcribed Spacer 1, Internal Transcribed Spacer 2, and Large-Subunit D1-D2 Regions as the Genetic Markers to Identify Fungi Isolated from Different Environmental Samples: A Molecular Surveillance Study of Public Health Importance.
    Author: Sulaiman IM, Jacobs E, Simpson S.
    Journal: J AOAC Int; 2020 Jun 01; 103(3):843-850. PubMed ID: 33241369.
    Abstract:
    BACKGROUND: In September 2012, a multistate fungal meningitis outbreak started across 20 states in the United States. It affected 753 individuals and caused 64 deaths who received contaminated spinal injections. In a previous study, we analyzed 26 environmental samples collected from the manufacturing premises of a compounding company to determine the possible cause of an outbreak and identified 14 distinct fungal species. OBJECTIVES: In this follow-up study, we have analyzed 198 environmental samples collected from three additional compounding company premises located in the United States for the presence of pathogenic fungi. METHODS: Environmental swab samples were initially examined by standard microbiological methods. Subsequently, DNA sequencing was performed on all of the 25 recovered fungal isolates at the D1-D2 domain of the large subunit (LSU) ribosomal RNA (rRNA) and the internal transcribed spacer (ITS) regions. RESULTS: Sequence analysis of the ITS1, ITS2, and LSU rRNA regions confirmed the presence of the following fungal species in the environmental samples analyzed: (i) Pestalotiopsis cocculi from the region Ia; (ii) Epicoccum nigrum and Trichaptum biforme from the region Ib; (iii) Nigrospora sphaerica and Fusarium sp. from the region II; and (iv) Curvularia sp., Fusarium sp., Penicillium sp., and Preussia sp. from the region III. Species identification of 25 recovered fungal isolates matched, in most cases, at 3 sequenced loci (ITS1, ITS2, and LSU). HIGHLIGHTS: DNA sequencing of ITS1, ITS2, and LSU D1-D2 regions can be used to perform fungal typing and in implementing effective environmental monitoring programs of public health importance.
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