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Oxford University Press, Medical Mycology, 7(58), p. 938-945, 2020

DOI: 10.1093/mmy/myz136

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Identification of opportunistic and nonopportunistic Exophiala species using high resolution melting analysis

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Abstract Exophiala is a genus comprising several species of opportunistic black yeasts. Exophiala species identification by morphological, physiological, and biochemical characteristics is challenging because of the low degree of phenotypic differences between species and its polyphyletic nature. We aimed to develop a high-resolution melting (HRM) assay based on the internal transcribed spacer (ITS) region to differentiate between pairs of clinical and environmental Exophiala species. HRM primers were designed based on the conserved ITS region of five Exophiala species (E. dermatitidis, E. phaeomuriformis, E. heteromorpha, E. xenobiotica, and E. crusticola). Environmental and clinical Exophiala isolates representing these five species (n = 109) were analyzed. The HRM assay was optimized using clinical and environmental reference isolates (n = 22), and then the results were compared with those obtained with nonreference isolates of Exophiala (n = 87) using two designed primer sets. The designed HRM assay was based on the normalized melting peak approach and two primer sets, and successfully distinguished between the five Exophiala species. The HRM1 primer set provided sufficient resolution, with a melting temperature (Tm) difference of approximately 2.5°C among the analyzed species and of approximately 1°C between E. dermatitidis and E. phaeomuriformis. HRM typing results were in agreement with those of ITS-sequence typing (100% sensitivity and specificity). The developed HRM assay can be used to ascertain the identity of Exophiala species, which may differ in clinical significance, with high accuracy. Its application to identify species directly in clinical samples and/or environmental niches may be possible in the future.