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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2017 Mar 24;55(4):1162–1176. doi: 10.1128/JCM.02459-16

Rapid Identification of Clinically Relevant Members of the Genus Exophiala by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and Description of Two Novel Species, Exophiala campbellii and Exophiala lavatrina

Andrew M Borman a,, Mark Fraser a, Adrien Szekely a, Daniel E Larcombe b, Elizabeth M Johnson a
Editor: Daniel J Diekemac
PMCID: PMC5377844  PMID: 28122875

ABSTRACT

Exophiala is a ubiquitous pleomorphic genus comprising at least 40 species, many of which have been associated with superficial, visceral, or systemic infections in humans, other mammals, or cold-blooded animals. In this study, we investigated the potential of matrix-assisted laser desorption–ionization time of flight mass spectrometry (MALDI-TOF MS) for the identification of Exophiala species. A total of 89 isolates (including 50 human and 4 animal clinical isolates) stored in the National Collection of Pathogenic Fungi were identified by PCR amplification and sequencing of internal transcribed spacer region 1. Eighty-three of the isolates corresponded to 16 known species within Exophiala/Rhinocladiella. The remaining six isolates are shown by phylogenetic analyses based on four loci to represent two novel Exophiala species. Four isolates from domestic bathrooms which form a sister species with Exophiala lecanii-corni are described here as Exophiala lavatrina sp. nov. The remaining two isolates, both from subcutaneous infections, are distantly related to Exophiala oligosperma and are described here as Exophiala campbellii sp. nov. The triazoles and terbinafine exhibited low MICs against all Exophiala isolates in vitro. MALDI-TOF MS successfully distinguished all 18 species and identified all isolates after appropriate reference spectra were created and added to commercial databases. Intraspecific mean log scores ranged from 1.786 to 2.584 and were consistently significantly higher than interspecific scores (1.193 to 1.624), with the exception of E. lecanii-corni and E. lavatrina, for which there was considerable log score overlap. In summary, MALDI-TOF MS allows the rapid and accurate identification of a wide range of clinically relevant Exophiala species.

KEYWORDS: Exophiala species, MALDI-TOF, mass spectrometry, multigene phylogeny, DNA sequencing, antifungal susceptibility, Exophiala campbellii, Exophiala lavatrina

INTRODUCTION

Although principally saprobic with worldwide distribution, members of the genus Exophiala (Herpotrichiellaceae) are also frequently found in association with petrochemical-polluted materials (1) and hot humid man-made environments (2). Moreover, Exophiala contains numerous potential pathogens of warm-blooded (3) and cold-blooded animals (4), with the ability to cause infections in humans being dependent at least in part on the ability to grow at 37 to 40°C. Disseminated fatal human infections with Exophiala dermatitidis, Exophiala spinifera, and Exophiala asiatica have been reported in immunocompetent and immunocompromised hosts (58), and E. dermatitidis, Exophiala lecanii-corni, Exophiala oligosperma, Exophiala phaeomuriformis, and Exophiala xenobiotica have been identified as the species most commonly associated with systemic infections in general (9, 10). Moreover, E. dermatitidis is a recognized agent of neurotropic infections in humans (3, 7). Numerous additional species have also been implicated in cutaneous and subcutaneous infections ranging from solitary subdermal cysts to widespread chromoblastomycosis and eumycetoma (10, 11). Additionally, E. dermatitidis has been shown to be one of the principal fungal colonizers of the airways of patients with cystic fibrosis (1214). An equally wide variety of thermointolerant species, principally encountered in aquatic environments, have been associated with disseminated, visceral, and cutaneous infections in cold-blooded animals, including fish and amphibians (summarized in reference 4).

All Exophiala species share common anamorphic features in culture, including melanized, often toruloid hyphae, and annellidic conidiophores that produce conidia in wet masses, as well as in budding (yeast) cells. However, accurate phenotypic identification is hindered by the limited degree of morphological differentiation between different species and their pleomorphic nature. A multitude of recent molecular studies, principally based upon rRNA gene and internal transcribed spacer region 1 (ITS1) sequencing, have begun to elucidate the phylogenetic complexity of the genus and to catalogue the range of species included (4, 811, 1517), with in excess of 40 species described to date. Molecular approaches have also better delineated the spectrum of clinically relevant Exophiala species (9, 10), with E. dermatitidis, E. xenobiotica, E. lecanii-corni, E. oligosperma, E. phaeomuriformis, and to a lesser extent, E. bergeri and E. jeanselmei, predominating in clinical specimens. The accurate and rapid identification of Exophiala species is increasingly important, given the observation that certain species are consistently associated with different infection types (8, 9) and the modest species-specific differences in antifungal susceptibility profiles reported in several studies of well-characterized Exophiala isolates (9, 17, 18).

Matrix-assisted laser desorption–ionization time of flight mass spectrometry (MALDI-TOF MS) has shown considerable promise as a rapid and robust method of identifying pathogenic yeast isolates (19, 20) and many species of pathogenic filamentous fungi (2124), although identification success is highly dependent on robust and expansive databases. Indeed, MALDI-TOF MS has been successfully applied to the identification of Exophiala species in several pilot studies. However, both previous studies only employed very restricted numbers of different Exophiala species, with only one and four species included in the respective test panels (25, 26), and achieved relatively modest identification success, as judged by mean log scores of >2.0 (26). Here, we have performed molecular characterization of 89 isolates of Exophiala species stored in the UK National Collection of Pathogenic Fungi (NCPF) and successfully applied them to MALDI-TOF MS for identification. The isolates comprised 15 accepted Exophiala species and two novel taxa, which we describe here as Exophiala campbellii sp. nov. and Exophiala lavatrina sp. nov.

RESULTS

Phylogenetic analyses.

Initial identification of the 89 isolates included in the current study was performed by PCR amplification and sequencing of a portion of ITS1, combined with BLASTN searches of the resulting sequences against sequences present in GenBank to identify nearest neighbor reference sequences (Table 1 and Fig. 1A). Definitive identity was confirmed by phylogenetic analyses of the ITS1 locus performed using the maximum likelihood (ML) algorithm, as described in Materials and Methods; an isolate was considered to be the same species as its nearest neighbor if the ITS sequence similarity exceeded 99% and isolates colocated on the same branch of the phylogenetic tree. The resulting phylogenetic tree was broadly consistent with similar recent studies of a variety of Exophiala species (see, for example, de Hoog et al. [4]). Using this approach, 83 of 89 isolates were unambiguously identified and comprised E. dermatitidis (n = 29), E. oligosperma (n = 13), E. xenobiotica (n = 9), E. bergeri (n = 5), Exophiala equina (n = 4), E. lecanii-corni (n = 4), E. phaeomuriformis (n = 3), E. spinifera (n = 3), Rhinocladiella similis (n = 3), Exophiala cancerae (n = 3), Exophiala aquamarina (n = 2), Exophiala capensis, Exophiala heteromorpha, E. jeanselmei, Exophiala mesophila, and Exophiala pisciphila (all n = 1). The remaining 6 isolates formed two well-supported clades in the ITS tree, as sister taxa to E. lecanii-corni (E. lavatrina sp. nov.; n = 4) and E. oligosperma (E. campbellii sp. nov.; n = 2).

TABLE 1.

Isolates employed in the current study

Culture no. by organism Isolation informationa
GenBank accession no.
Source Origin Yr ITS1 RPB2 TEF1 28S
Exophiala aquamarina
    NCPF 7889 Leafy sea dragon UK 2015 LT594705
    NCPF 7908 Clown fish UK 2016
Exophiala begeri
    NCPF 2236 Diseased eye UK 1979 LT594666
    NCPF 2353 Subepidermal cyst USA 1976 LT594667
    NCPF 2395 Unknown USA 1965 LT594668
    NCPF 2438 Chromoblastomycosis Canada 1976 LT594669
    NCPF 2513 Unknown Japan Unknown LT594670
Exophiala campbellii sp. nov.
    NCPF 2274 Foot ganglion Germany 1981 LT594703 LT594740 LT594739 LT594760
    NCPF 2593 Human chest nodule UK 1984 LT594704 LT594742 LT594741 LT594761
Exophiala cancerae
    NCPF 2404 Unknown Canada 1980 LT594701
    NCPF 2558 Human, sputum USA 1981 LT594702
    NCPF 7907 Human, finger UK 2016
Exophiala capensis
    NCPF 2517 Cedar tower Canada 1973 LT594700
Exophiala dermatitidis
    NCPF 2343 Chromoblastomycosis Japan 1977 LT594638
    NCPF 2349 Wood Unknown 1976 LT594639
    NCPF 2354 Knee fluid USA 1977 LT594640
    NCPF 2355 Unknown Japan 1966 LT594641 LT594752 LT594751 LT594766
    NCPF 2356 Chromoblastomycosis Taiwan Unknown LT594642
    NCPF 2357 Lung Japan 1977 LT594643
    NCPF 2362 Unknown Unknown 1979 LT594644
    NCPF 2369 Human USA 1981 LT594645
    NCPF 2370 Human USA 1981 LT594646
    NCPF 2384 Knee fluid USA 1977 LT594647
    NCPF 2396 CNS fluid Japan 1963 LT594648
    NCPF 2400 Human Japan 1976 LT594649
    NCPF 2402 Internal organs, bat USA 1979 LT594650
    NCPF 2403 Unknown USA 1979 LT594651
    NCPF 2405 Soil Brazil 1980 LT594652
    NCPF 2414 Unknown USA 1979 LT594653
    NCPF 2415 Unknown USA 1979 LT594654
    NCPF 2416 Unknown USA 1973 LT594655
    NCPF 2418 Chromoblastomycosis Japan 1972 LT594656
    NCPF 2420 Unknown USA 1977 LT594657
    NCPF 2422T Chromomycosis, face Japan 1935 LT594658
    NCPF 2448 Subcutaneous, finger USA 1981 LT594659
    NCPF 2450 Unknown Unknown 1979 LT594660
    NCPF 2462 Unknown Japan 1966 LT594661
    NCPF 2464 Unknown Venezuela 1964 LT594662
    NCPF 2518 Human USA Unknown LT594663
    NCPF 2519 Human USA Unknown LT594664
    NCPF 2611 Human Hong Kong 1985 LT594665
    NCPF 7906 Human, BAL UK 2015
Exophiala equina
    NCPF 2376 Sputum USA Unknown LT594671
    NCPF 2489C Paper mill USA 1959 LT594672 LT594738 LT594737 LT594759
    NCPF 2493 Skin scraping USA Unknown LT594673
    NCPF 7890 Human eye UK 2016 LT594674
Exophiala heteromorpha
    NCPF 2380 Human USA 1981 LT594675
Exophiala jeanselmei
    NCPF 2516 Unknown USA 1973 LT594689
Exophiala lavatrina sp. nov.
    NCPF 7893 Domestic bathroom UK 2016 LT594696 LT594730 LT594729 LT594755
    NCPF 7898 Domestic bathroom UK 2016 LT594697 LT594732 LT594731 LT594756
    NCPF 7899 Domestic bathroom UK 2016 LT594698 LT594734 LT594733 LT594757
    NCPF 7900 Domestic bathroom UK 2016 LT594699 LT594736 LT594735 LT594758
Exophiala lecanii-corni
    NCPF 7891 Human, nail UK 2015 LT594692 LT594726 LT594725 LT594753
    NCPF 7901 Domestic bathroom UK 2016 LT594693
    NCPF 7902 Domestic bathroom UK 2016 LT594694
    NCPF 7903 Domestic bathroom UK 2016 LT594695 LT594728 LT594727 LT594754
Exophiala mesophila
    NCPF 7892 Contact lens UK 2015 LT594690
Exophiala oligosperma
    NCPF 2352 Polluted water USA 1957 LT594676 LT594748 LT594747 LT594764
    NCPF 2378 Ear swab Canada 1980 LT594677
    NCPF 2379 Unknown Brazil 1978 LT594678
    NCPF 2382 Unknown USA 1977 LT594679
    NCPF 2383 Thigh abscess USA 1977 LT594680 LT594750 LT594749 LT594765
    NCPF 2436 Wood UK Unknown LT594681
    NCPF 2466 Unknown Venezuela Unknown LT594682
    NCPF 2469 Sputum USA 1983 LT594683
    NCPF 2490 Human USA 1977 LT594684
    NCPF 2496 Human USA 1980 LT594685
    NCPF 2559 Human lung USA 1981 LT594686
    NCPF 2725 Human UK 1989 LT594687
    NCPF 7896 Human skin UK 2015 LT594688
Exophiala phaeomuriformis
    NCPF 2451 Unknown USA 1977 LT594706
    NCPF 7894 Blood culture, endocarditis UK 2015 LT594707
    NCPF 7895b Blood culture, endocarditis UK 2016 LT594708
Exophiala pisciphila
    NCPF 2645 Liver, crocodile Israel 1986 LT594691
Exophiala spinifera
    NCPF 2358 Nose lesion USA 1966 LT594709
    NCPF 2454 Palm tree Uruguay 1978 LT594710
    NCPF 2494 Human USA Unknown LT594711
Exophiala xenobiotica
    NCPF 2372 Elbow pus USA 1981 LT594712
    NCPF 2375 Arm ulcer USA 1979 LT594713 LT594744 LT594743 LT594762
    NCPF 2377 Phaeomycotic cyst USA 1980 LT594714
    NCPF 2455 Bronchial wash, human USA 1981 LT594715 LT594746 LT594745 LT594763
    NCPF 2471 Lesions, abdomen and thigh USA 1981 LT594716
    NCPF 2472 Wood Sweden 1977 LT594717
    NCPF 2487 Chromoblastomycosis, back Japan 1976 LT594718
    NCPF 2555 Human USA 1977 LT594719
    NCPF 2556 Human hand New Zealand 1982 LT594720
Rhinocladiella similis
    NCPF 7897 Human abdomen UK 2015 LT594721
    NCPF 7904 Human UK 2015 LT594722
    NCPF 7905 Gastroscope UK 2016
a

CNS, central nervous system; BAL, bronchoalveolar lavage.

b

This isolate was from the same patient as NCPF 7894.

FIG 1.

FIG 1

FIG 1

FIG 1

Phylogenetic trees showing the relationships of the 86 isolates included in the current study. (A) The 50% majority rule consensus tree inferred from ITS1 sequence data using the maximum likelihood method and K80+G model. Numbers at nodes represent levels of bootstrap support calculated from 200 replicates. The tree was rooted with Dolabra nepheliae. The scale bar represents 0.05 substitutions per site. Accession numbers of comparator sequences retrieved from GenBank are given before non-NCPF isolates. Clin. isolate* represents a clinical isolate of E. lecanii-corni that is no longer available for subsequent analyses. (B) Maximum likelihood tree constructed with concatenated partial sequences from the 28S rRNA, ITS1, TEF1, and RPB2 genes of E. lavatrina sp. nov., E. campbellii sp. nov., and nearest relatives (2,228 nucleotides in total). Branch lengths are proportional to phylogenetic distance. Bootstrap values (using nearest neighbor interchange) above 70% (1,000 replicates) are shown above branches. Scale bar = 0.05 substitutions/site. (C) Most parsimonious tree of the concatenated sequences analyzed in panel B (2,228 characters; tree length [TL] = 1,570, consistency index [CI] = 0.698, retention index [RI] = 0.838, rescaled consistency [RC] = 0.585, homoplasy index [HI] = 0.302). Branch lengths are proportional to phylogenetic distance. Bootstrap values (using tree-bisection-reconnection) above 70% (1,000 replicates) are shown above branches. The scale bar shows 50 changes. (B and C) Trees were rooted with Exophiala dermatitidis.

To further characterize these 6 novel isolates, PCR amplification and sequencing were extended to include portions of the RNA polymerase second largest subunit (RPB2) and translation elongation factor 1 alpha (TEF1) genes, and together with the long subunit (LSU) and ITS1, these additional loci were used for phylogenetic comparisons with reference NCPF Exophiala species that represented their nearest neighbors. A total of 2,217 nucleotides were included, of which 352 nucleotides were derived from LSU, 247 nucleotides were derived from ITS1, 730 nucleotides were derived from RPB2, and 888 nucleotides were derived from TEF1. Maximum likelihood phylogenetic trees were established for each of the 4 individual loci and inspected for congruence using a 70% bootstrap cutoff. As individual trees were broadly concordant (data not shown), the combined 4-locus data set was used for subsequent analyses using both ML and maximum parsimony algorithms (see Materials and Methods; Fig. 1B and C). The resulting phylogenetic trees had very similar topologies, and both strongly supported, with high bootstrap values, the status of both E. campbellii and E. lavatrina as novel Exophiala species that are related to E. oligosperma and E. lecanii-corni, respectively. For example, E. lavatrina and E. lecanii-corni shared only 81% nucleotide identity over the ∼2,100-bp regions examined, and pairwise nucleotide identity for the same regions between E. oligosperma, E. xenobiotica, and E. campbellii was 87% (compared to 91% identity between E. equina and E. pisciphila, and 93% sequence conservation between E. dermatitidis and E. heteromorpha; data not shown).

MS analyses of Exophiala isolates.

Since it is well established that the performance of MALDI-TOF MS is highly dependent on spectral database inclusivity (20, 22), representative NCPF isolates corresponding to the 18 species identified by ITS1 sequencing were used for the creation of reference mass spectra (MSPs), exactly as described in Materials and Methods. This in-house database was then used in conjunction with the existing Bruker database for the identification of the remaining isolates, which were processed in an operator-blinded manner using the same extraction methodologies. All species with more than 1 representative isolate gave species-specific spectra which allowed their identification to the species level, and concordance of species-level identification was 100% by MALDI-TOF MS compared to sequencing. With the exception of one isolate each of E. equina and R. similis (log scores, 1.719 and 1.789, respectively), 65/67 isolates gave log scores above 1.8, with 92.5% (62/67) of the isolates giving scores in excess of 1.9 and 76.1% (51/67) of isolates achieving scores greater than 2.0 (Table 2). For the five species represented by only a single isolate (E. aquamarina, E. capensis, E. jeanselmei, E. mesophila, and E. pisciphila), the lack of a second independent test isolate precluded evaluation of the robustness of the reference MSPs generated in the current study. However, the log scores of the nearest matches in the existing databases were consistently very low (range, 1.193 to 1.713) and were achieved against unrelated or only distantly related organisms, suggesting that these MSPs might also be reliable and unique (Table 2). Indeed, MSPs were robust for all 16/18 species, as judged by the differences between intraspecific and interspecific log score values (Table 2) and the fact that the nearest incorrect matches belonged to different genera for 11/18 species, and even different kingdoms for 8/18 species. An exception to this concerned E. lecanii-corni and its related novel sister species E. lavatrina, where interspecific log scores nearly approached intraspecific scores for this particular pair of organisms (Table 2).

TABLE 2.

MALDI-TOF MS log scores for Exophiala species determined in the current study

Species (no. tested) No. of isolates with Bruker log score of:
MALDI-TOF log scorea
Next highest match ID Maximum log scoreb
>1.7 >1.8 >1.9 >2.0 Mean Range
Exophiala dermatitidis (17) 17 17 17 15 2.111 1.991–2.363 No unrelated match with score >1.200
Exophiala oligosperma (13) 13 13 12 10 2.266 1.865–2.584 R. similis 1.624
Exophiala xenobiotica (5) 5 5 5 3 2.050 1.929–2.130 Lactobacillus sp. 1.485
Exophiala begeri (5) 5 5 5 5 2.216 2.062–2.317 E. oligosperma 1.442
Exophiala equina (4) 4 3 3 2 2.002 1.719–2.246 Pichia fermentans 1.370
Exophiala lavatrina sp. nov. (4) 4 4 4 3 2.170 1.976–2.379 E. lecanii-corni 1.527
Exophiala lecanii-corni (4) 4 4 4 3 2.121 1.964–2.265 E. lavatrina 1.917
Exophiala phaeomuriformis (3) 3 3 2 2 2.031 1.880–2.214 Ralstonia sp. 1.327
Rhinocladiella similis (3) 3 2 2 2 2.119 1.789–2.313 E. spinifera 1.412
Exophiala cancerae (3) 3 3 3 3 2.345 2.002–2.654 Arthrobacter sp. 1.519
Exophiala aquamarina (2) 2 2 2 2 2.281 ND Ralstonia sp. 1.333
Exophiala spinifera (2) 2 2 2 2 1.977 1.830–2.124 Actinomyces sp. 1.435
Exophiala campbellii sp. nov. (2) 2 2 2 1 2.103 1.908–2.299 Bacillus sp. 1.354
Total (%) 67 (100) 67 (100) 65 (97.0) 62 (92.5) 51 (76.1)
Exophiala capensis (1) NA NA NA NA NA NA Jonesia sp. 1.450
Exophiala heteromorpha (1) NA NA NA NA NA NA Pichia anomalus 1.193
Exophiala jeanselmei (1) NA NA NA NA NA NA E. oligosperma 1.514
Exophiala mesophila (1) NA NA NA NA NA NA Arthrobacter sp. 1.332
Exophiala pisciphila (1) NA NA NA NA NA NA E. aquamarina 1.713
a

Excludes scores obtained against MSPs generated with the same isolate.

b

Maximum log score of the nearest incorrect ID by MALDI-TOF MS.

Antifungal susceptibility.

Limited previous studies have suggested that Exophiala spp. might exhibit certain species-specific antifungal susceptibility variations, in particular with respect to amphotericin B (17, 18, 27). Thus, a selection of 50 isolates in the current study were subjected to antifungal susceptibility testing against a panel of antifungal agents covering most drug classes. Data for E. lavatrina are omitted, since all four isolates of this organism grew extremely poorly in the RPMI medium employed for antifungal susceptibility testing. Since a proportion of strains had been isolated from superficial sites, including skin and eyes, natamycin and terbinafine were also included in the antifungal panel. The vast majority of isolates exhibited low MICs when tested with amphotericin B, the three triazoles tested, and terbinafine, with natamycin and especially anidulafungin yielding higher MICs. Species-specific variation in antifungal susceptibility was minimal among the 15 species included (Table 3), although the single isolates of E. aquamarina and R. similis exhibited significantly higher MICs to amphotericin, as did one of nine isolates of E. oligosperma.

TABLE 3.

Geometric mean MIC/MEC values and ranges for Exophiala species and antimicrobials

Organism (no. of isolates) MIC/MEC geometric mean (range) (mg/liter) fora:
AMB ITC VRC PSC ANID TRB NAT
All (50) 0.60 (0.06 to 4) 0.11 (<0.03 to 0.5) 0.18 (<0.03 to 1) 0.06 (<0.03 to 0.25) 6.28 (0.25 to >8) 0.19 (0.06 to 1) 2.69 (1 to 16)
E. dermatitidis (9) 0.54 (0.125 to 1) 0.23 (0.06 to 0.5) 0.13 (0.06 to 0.25) 0.15 (0.06 to 0.25) >8 (8 to >8) 0.15 (0.06 to 0.25) 2.94 (2 to 4)
E. oligosperma (11) 0.88 (0.25 to 4) 0.09 (0.03 to 0.25) 0.22 (0.06 to 0.5) 0.06 (0.03 to 0.125) 6.62 (0.5 to >8) 0.22 (0.125 to 0.5) 3.52 (2 to 16)
E. xenobiotica (9) 0.79 (0.5 to 1) 0.13 (0.06 to 0.5) 0.21 (<0.03 to 1) 0.07 (0.06 to 0.125) 4.32 (0.25 to >8) 0.10 (0.06 to 0.25) 3.42 (1 to 8)
E. begeri (3) 0.25 (0.25) 0.05 (<0.03 to 0.125) 0.20 (0.125 to 0.25) 0.02 (<0.03 to 0.06) 1.26 (0.5 to 4) 0.25 (0.25) 2 (2)
E. lecanii-corni (2) 0.5 (0.5) 0.125 (0.125) 0.125 (0.125) 0.125 (0.125) 0.5 (0.5) ND 1 (1)
E. phaeomuriformis (3) 0.16 (0.06 to 0.25) 0.02 (<0.03 to 0.06) <0.03 (<0.03) 0.02 (<0.03 to 0.06) 2 (2) 1 (1) 1 (1)
E. spinifera (3) 0.39 (0.25 to 1) 0.12 (0.06 to 0.25) 0.25 (0.125 to 0.5) 0.04 (<0.03 to 0.06) >8 (>8) 0.5 (0.25 to 1) 2 (2)
E. campbellii (2) 1 (1) 0.06 (0.06) <0.03 (<0.03) <0.03 (<0.03) >8 (8 to >8) 0.06 (0.06) 1 (1)
E. equina (2) 0.17 (0.06 to 0.5) 0.18 (0.125 to 0.25) 0.71 (0.5 to 1) 0.12 (0.06 to 0.25) ND ND ND
Rhinocladiella similis (1) 4 (NA) 0.5 (NA) 1 (NA) 0.25 (NA) >8 (NA) 0.5 (NA) 4 (NA)
E. aquamarina (1) 4 (NA) 0.25 (NA) 0.125 (NA) ND ND 0.125 (NA) ND
E. capensis (1) 0.125 (NA) <0.03 (NA) ND ND ND 0.25 (NA) 1 (NA)
E. heteromorpha (1) 0.25 (NA) 0.25 (NA) 0.125 (NA) <0.03 (NA) 4 (NA) 0.5 (NA) 2 (NA)
E. jeanselmei (1) 1 (NA) 0.125 (NA) 0.25 (NA) 0.06 (NA) >8 (NA) ND (NA) 2 (NA)
E. mesophila (1) 1 (NA) 0.125 (NA) 0.5 (NA) ND ND 0.5 (NA) 1 (NA)
a

AMB, amphotericin B; ITC, itraconazole; VRC, voriconazole; PSC, posaconazole; ANID, anidulafungin; TRB, terbinafine; NAT, natamycin; ND, not determined; NA, not applicable.

TAXONOMY

Exophiala campbellii sp. nov. Andrew M. Borman, Mark Fraser, Adrien Szekely, Elizabeth M. Johnson. MycoBank accession no. MB 817129. Etymology: named after the prominent British mycologist Colin K. Campbell, previous long-time curator of the National Collection of Pathogenic Fungi, Bristol, UK. Diagnosis: the species resembles E. oligosperma, although colonies on most media are mainly mycelial, with a limited yeast phase, and toruloid mycelial are seen rarely (Fig. 2). Colonies on Sabouraud agar at 25°C restricted, attaining 15 to 18 mm diameter in 14 days, peripherally flat with slightly raised and radially folded center, velvety olivaceous-gray to brown with colony reverse dark greenish-gray. No diffusible pigment produced. Budding cells scant in young cultures, when present oval to ellipsoidal, light olivaceous-green, 2.5 by 3.5 μm, often with a short annellated zone. Torulose mycelium is scant. Hyphae are regular, pale olivaceous to brown, 1.5 to 3.0 μm wide, with dense septation. Conidiogenous cells arising either terminally, at acute angles in simple penicillia as part of a slightly differentiated conidial apparatus, or more commonly at right angles from undifferentiated mycelium, in all cases bearing conidia in clusters. Terminal conidiogenous cells are cylindrical and tapering toward a short apical annellated zone, occasionally with inconspicuous collarettes; lateral conidiogenous cells are flared, vasiform, tapering rapidly toward annellated zones of irregular length. Short annellated conidiogenous pegs are often formed next to septa. Conidia are unicellular, light green, thin-walled, oval to ellipsoidal, and 3.5 to 5.0 by 2.0 to 3.0 μm. Growth observed from 15 to 37°C, optimum 30°C. The teleomorph is unknown. Holotype: (living and dried) NCPF 2274 isolated from a human subcutaneous lesion (foot ganglion), in an otherwise healthy female, 1981, Germany.

FIG 2.

FIG 2

Colonial and microscopic morphological appearance of Exophiala campbellii sp. nov. (NCPF 2274) (a) Colony on Sabouraud dextrose agar after 14 days at 30°C. (b to h) Conidiophores, conidiogenous cells, and conidia. (c) Phialophora-like phialidic state with collarettes and conidia. Bars = 10 μm.

Exophiala lavatrina sp. nov. Andrew M. Borman, Mark Fraser, Adrien Szekely, Elizabeth M. Johnson. MycoBank accession no. MB 817130. Etymology: from the Latin, domestic bathroom. Colonies on Sabouraud agar at 25°C restricted, attaining 22 to 24 mm diameter in 14 days, peripherally flat with entire margins and with raised, tufted, or radially folded center, velvety to locally powdery, olivaceous-gray to gray-brown with colony reverse dark greenish-gray (Fig. 3). No diffusible pigment produced. Yeast cells mostly scant in young cultures, broadly oval to ellipsoidal, light olivaceous-green, 2.0 by 3.5 μm, often with a short terminal annellated zone. Torulose mycelium is abundant. Hyphae are irregular, pale olivaceous to brown, 1.5 to 4.5 μm wide, with dense septation. Conidiogenous cells arising either terminally as broadly cylindrical phialides with short conspicuous annelated zones, or more commonly as inconspicuous lateral annellated conidiogenous pegs and in chains of inflated barrel-shaped cells interconnected by narrow septa. Conidia produced in clusters, pale green, broadly ellipsoidal, 4.5 to 7.0 by 2.5 to 4.0 μm. Chlamydospores rarely produced. Growth observed from 10 to 37°C, optimum 30°C. The teleomorph is unknown. Holotype: (living and dried) NCPF 7893 isolated from a domestic bathroom, 2016, United Kingdom.

FIG 3.

FIG 3

Colonial and microscopic morphological appearance of Exophiala lavatrina sp. nov. (a to d) Colony appearance of NCPF 7893 (a), NCPF 7898 (b), NCPF 7899 (c), and NCPF 7900 (d) on Sabouraud dextrose agar after 14 days at 30°C. (e to i) Conidiophores, conidiogenous cells, and conidia of NCPF 7893. Bars = 10 μm.

DISCUSSION

The current study has employed 89 historical clinical and environmental isolates of Exophiala spp. to evaluate the robustness of identification by MALDI-TOF MS, using rRNA gene sequence analysis as the gold standard. Formal identification of the isolates by ITS1 sequence analyses revealed that the 89 isolates comprised 18 different species (17 Exophiala spp. plus Rhinocladiella similis). The spectrum of Exophiala species associated with human infections in this UK culture collection appears very similar to that previously described from the United States (9), with a preponderance of E. dermatitidis, E. oligosperma, and E. xenobiotica among clinical isolates in general, and in particular associated with systemic and deep infections. Interestingly, six of the panel of 89 isolates represented two novel taxa, as delineated by extended multilocus sequencing approaches. Four isolates from domestic bathrooms formed a sister species with E. lecanii-corni and are described here as E. lavatrina. The other two isolates, described here as E. campbellii, were both from subcutaneous infections and represent a sister species to E. oligosperma. It is likely that E. lavatrina, like E. lecanii-corni, is an environmental saprobe that is encountered only infrequently in the clinical setting. However, the description here of E. campbellii based on two independent isolates from subcutaneous infections in the UK and Germany adds an additional taxon to the list of potentially human-pathogenic Exophiala species associated with subcutaneous infections. Further studies will be required to fully ascertain the importance of E. campbellii as a human pathogen.

In agreement with previous studies using limited numbers of different Exophiala species (25, 26), here, we have shown that MALDI-TOF MS analyses permit the robust and rapid identification of clinical Exophiala isolates. For species represented by more than one independent isolate, all isolates could be identified correctly by MALDI-TOF MS, with more than 90% of strains having log scores of >1.9 and in excess of 75% of strains having log score values of >2.0. With the exception of isolates of E. lavatrina and E. lecanii-corni, where interspecific log scores were nearly as high as intraspecific scores, the highest log score for an incorrect identification was significantly lower than that for a correct identification and never approached 1.8. Five additional species were represented by only a single isolate, preventing an analysis of the robustness of the specific MSP profile for that species. However, the next best log score for these five species against a different species/genus was considerably below the threshold of 2.0, once again suggesting that these additional MSPs may be useful for identification. Given the rapidity and robustness of MALDI-TOF MS-based identification of Exophiala species as described here, and the low cost per isolate after initial MS machine acquisition costs, MALDI-TOF MS appears to be an excellent alternative to ITS sequencing for the accurate identification of Exophiala species in the clinical laboratory.

Finally, we have established antifungal susceptibility profiles for a representative selection of 50 of the test panel isolates. In agreement with several previous reports of human-pathogenic Exophiala species (17, 27), the amphotericin B and triazole MICs with our Exophiala isolates were generally low (17, 27) and lower than those for the echinocandins (18). In the current study, only a limited number of isolates exhibited in vitro resistance to amphotericin B, in contrast to previous analyses employing waterborne isolates and those from cutaneous infections in predominantly cold-blooded animals (18).Unfortunately, very few of the waterborne Exophiala species and those associated with infections in cold-blooded animals were represented in our collection, precluding a direct comparison in the current study. Further studies will be required to address these questions and to evaluate whether MALDI-TOF MS analysis will be equally useful for the identification of those Exophiala species pathogenic to other animals.

MATERIALS AND METHODS

Fungal isolates.

The isolates included in the current study were obtained from the National Collection of Pathogenic Fungi (NCPF), Mycology Reference Laboratory (MRL), Bristol, UK, where they had been stored in sterile water at room temperature in the dark (isolates detailed in Table 1). All isolates were subcultured twice on plates of Oxoid Sabouraud dextrose agar containing 0.5% (wt/vol) chloramphenicol with incubation at 30°C (Unipath Limited, Basingstoke, England).

Morphological examination.

Isolates were all subjected to morphological examination at the MRL. Isolates were cultured on slopes of Oxoid Sabouraud dextrose agar containing 0.5% (wt/vol) chloramphenicol, potato dextrose agar (PDA; 20 g of glucose, 4 g of potato extract, 15 g of agar per liter) or potato sucrose agar (PSA; 20 g of sucrose, 4 g of potato extract, 15 g of agar per liter). Cultures were examined for conidiogenesis under a Kyowa Optical SDZ-PL dissecting microscope, and using a Nikon Eclipse E400 light microscope to examine microscopic mounts prepared in lactophenol mounting fluid. The growth rates of novel Exophiala species were determined on Sabouraud dextrose agar incubated for 14 days in the dark at 4, 20, 30, 35, 37, 40, and 42°C.

Molecular methods.

Genomic DNA was prepared from cultures after 2 weeks of incubation on Sabouraud agar, exactly as described previously (28). Amplification of a region of the large subunit (LSU) gene and the internal transcribed spacer 1 (ITS1) region was performed using the primers described in reference 29. Amplification of a fragment of the actin (ACT), RNA polymerase second largest subunit (RPB2), and translation elongation factor 1-alpha (TEF1) genes used the primer pairs ACT-512F/ACT-738R (30), fRPB2-5F/fRPB2-7cR (31), and EF-3983F/EF-2218R (http://www.aftol.org/pdfs/EF1primer.pdf), respectively. PCR composition, cycling conditions, postamplification analyses, and amplicon sequencing were performed exactly as described previously (32).

Sequence alignment and phylogenetic analyses.

Preliminary organism identification was achieved using BLASTN searches against fungal sequences in existing GenBank DNA databases (33). For phylogenetic analyses, sequence alignments included reference sequences from the type strains of key species of Exophiala obtained from GenBank (Table 1 and Fig. 1). Initial alignments of each gene were performed separately in MAFFT version 7 (34) and manually adjusted where necessary. Deletions were treated as missing data. The optimal nucleotide substitution models, calculated in PAUP version 4.0a149 (35) using the automated model selection function, were TrNef+G (28S), K80+G (ITS1), TrN+I+G (TEF1), and SYM+G (RPB2). The concordance of the individual loci was evaluated by comparing individual phylogenetic analyses of each locus performed using the maximum likelihood (ML) algorithm in PAUP, with a 70% bootstrap support cutoff. Since individual trees were broadly concordant, further ML analyses were performed using the GTR+I+G model and the concatenated sequences corresponding to all 4 genes, with nearest neighbor interchange as the heuristic method of tree inference. Topological support was evaluated by a search of 1,000 bootstrapped data sets, with bootstrap values of >70% considered significant. The concatenated sequences corresponding to all 4 genes were also subjected to analyses using maximum parsimony algorithms in PAUP. The combined data set included 2,228 characters, of which 1,456 characters were constant, 50 characters were variable but parsimony uninformative, and 772 positions were parsimony informative. Tree-bisection-reconnection was employed as the heuristic method of tree inference. Topological support was evaluated by a search of 1,000 bootstrapped data sets, with bootstrap values of >70% considered significant.

MALDI-TOF MS sample preparation.

Full protein extraction employing sequential ethanol, 70% formic acid, and acetonitrile precipitative steps was performed exactly as described by the manufacturer (Bruker Daltonics, Bremen, Germany), with fungal biomass (approximately 20 to 40 mg) in 300 μl of water harvested by scraping from 48- to 72-h colonies grown at 30°C on Sabouraud agar. Extracts (1-μl volumes) were applied to MSP 96 target ground steel plates (Bruker Daltonics) and left to air dry at room temperature. As soon as spots were dry, they were overlaid with 1 μl of α-cyano-4-hydroxycinnamic acid (HCCA) matrix (Bruker Daltonics). Fully dried plates were then directly subjected to MALDI-TOF MS analysis.

MALDI-TOF MS analysis and construction of in-house Exophiala database.

Dried loaded plates were introduced into a Bruker microflex LT Biotyper, according to the manufacturer's instructions, and analyzed using the MALDI Biotyper RTC software (version 3.0). The linear positive-ion acquisition mode was used, with the standard 2,000- to 20,000-Da mass range and 240 laser shots per sample. For species that were not present in the latest Bruker MSP library database (MBT-BDAL-5989 MSP Library plus Filamentous Fungi version 1.0), new MSP entries were created using selected NCPF isolates representing the 18 species identified by molecular approaches, exactly as described previously (20). The spectra for the remaining 70 test isolates that had not been used to make reference MSPs were analyzed using the FlexControl software (version 3.3) and compared against the Bruker MSP libraries supplemented with the in-house Exophiala database. All isolates were analyzed at least twice.

Antifungal agents and CLSI broth microdilution determination of MICs.

Antifungal drugs were obtained from their respective manufacturers as standard powders. Amphotericin B and natamycin (both Sigma Chemical Co., St. Louis, NO), anidulafungin and voriconazole (both Pfizer Central Research, Sandwich, UK), and terbinafine (Novartis Pharmaceuticals, Frimley, UK) were dissolved in dimethyl sulfoxide. Itraconazole (Janssen Research Foundation, Beerse, Belgium) and posaconazole (Merck, Sharp, and Dohme, Hoddesdon, UK) were prepared in polyethylene glycol 400 (PEG 400) with heating to 70°C. Serial 2-fold dilutions of the various drugs were prepared in RPMI 1640 medium (with l-glutamine, without bicarbonate; Sigma Chemical Co.), and buffered to pH 7.0 using a 0.165 M solution of morpholinepropanesulfonic acid (MOPS; Sigma Chemical Co.). MICs were determined according to CLSI methodologies (36) in round-bottomed 96-well plates, as described previously (32), except that conidial suspensions rather than hyphal fragments were employed.

Accession number(s).

Sequences from this study were deposited in GenBank under accession numbers LT594638 to LT594722 and LT594725 to LT594766 (Table 1).

REFERENCES

  • 1.Döğen A, Ilkit M, de Hoog GS. 2013. Black yeast habitat choices and species spectrum on high altitude creosote-treated railway ties. Fungal Biology 117:692–696. doi: 10.1016/j.funbio.2013.07.006. [DOI] [PubMed] [Google Scholar]
  • 2.Lian X, de Hoog GS. 2010. Indoor wet cells harbour melanised agents of cutaneous infection. Med Mycol 48:622–628. doi: 10.3109/13693780903405774. [DOI] [PubMed] [Google Scholar]
  • 3.de Hoog GS, Queiroz-Telles F, Haase G, Fernandez-Zeppenfeldt G, Attili Angelis D, Gerrits Van Den Ende AH, Matos T, Peltroche-Llacsahuanga H, Pizzirani-Kleiner AA, Rainer J, Richard-Yegres N, Vicente V, Yegres F. 2000. Black fungi: clinical and pathogenic approaches. Med Mycol 38(Suppl 1):243–250. [PubMed] [Google Scholar]
  • 4.de Hoog GS, Vicente VA, Najafzadeh MJ, Harrak MJ, Badali H, Seyedmousavi S. 2011. Waterborne Exophiala species causing disease in cold-blooded animals. Persoonia 27:46–72. doi: 10.3767/003158511X614258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Li DM, Li RY, De Hoog GS, Wang YX, Wang DL. 2009. Exophiala asiatica, a new species from a fatal case in China. Med Mycol 47:101–109. doi: 10.1080/13693780802538019. [DOI] [PubMed] [Google Scholar]
  • 6.Li DM, Li RY, de Hoog GS, Sudhadham M, Wang DL. 2011. Fatal Exophiala infections in China, with a report of seven cases. Mycoses 54:e136–42. doi: 10.1111/j.1439-0507.2010.01859.x. [DOI] [PubMed] [Google Scholar]
  • 7.Sudhadham M, Prakitsin S, Sivichai S, Chaiyarat R, Dorrestein GM, Menken SB, de Hoog GS. 2008. The neurotropic black yeast Exophiala dermatitidis has a possible origin in the tropical rain forest. Stud Mycol 61:145–155. doi: 10.3114/sim.2008.61.15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.de Hoog GS, Vicente V, Caligiorne RB, Kantarcioglu S, Tintelnot K, Gerrits van den Ende AHG, Haase G. 2003. Species diversity and polymorphism in the Exophiala spinifera clade containing opportunistic black yeast-like fungi. J Clin Microbiol 41:4767–4778. doi: 10.1128/JCM.41.10.4767-4778.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zeng JS, Sutton DA, Fothergill AW, Rinaldi MG, Harrak MJ, de Hoog GS. 2007. Spectrum of clinically relevant Exophiala species in the United States. J Clin Microbiol 45:3713–3720. doi: 10.1128/JCM.02012-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Woo PCY, Ngan AHY, Tsang CCC, Ling IWH, Chan WJFW, Leung S-L, Yuen K-Y, Lau SKP. 2013. Clinical spectrum of Exophiala infections and a novel Exophiala Species, Exophiala hongkongensis. J Clin Microbiol 51:260–226. doi: 10.1128/JCM.02336-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Yong LK, Wiederhold NP, Sutton DA, Sandoval-Denis M, Lindner JR, Fan H, Sanders C, Guarro J. 2015. Morphological and molecular characterization of Exophiala polymorpha sp. nov. isolated from sporotrichoid lymphocutaneous lesions in a patient with myasthenia gravis. J Clin Microbiol 53:2816–2822. doi: 10.1128/JCM.00622-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Borman AM, Palmer MD, Delhaes L, Carrère J, Favennec L, Ranque S, Gangneux JP, Horré R, Bouchara JP. 2010. Lack of standardization in the procedures for mycological examination of sputum samples from CF patients: a possible cause for variations in the prevalence of filamentous fungi. Med Mycol 48:S88–97. doi: 10.3109/13693786.2010.511287. [DOI] [PubMed] [Google Scholar]
  • 13.Horré R, Schaal KP, Siekmeier R, Sterzik B, de Hoog GS, Schnitzler N. 2004. Isolation of fungi, especially Exophiala dermatitidis, in patients suffering from cystic fibrosis. Respiration 71:360–366. doi: 10.1159/000079640. [DOI] [PubMed] [Google Scholar]
  • 14.Kondori N, Gilljam M, Lindblad A, Jönsson B, Moore ERB, Wennerås C. 2011. High rate of Exophiala dermatitidis recovery in the airways of patients with cystic fibrosis is associated with pancreatic insufficiency. J Clin Microbiol 49:1004–1009. doi: 10.1128/JCM.01899-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Haase G, Sonntag L, Melzer-Krick B, de Hoog GS. 1999. Phylogenetic interference by SSU-gene analysis of members of the Herpotrichiellaceae with special reference to human pathogenic species. Stud Mycol 43:80–97. [Google Scholar]
  • 16.Suh MK, Lee HC, Kim DM, Ha GY, Choi JS. 2012. Molecular phylogenetics of Exophiala species isolated from Korea. Ann Dermatol 24:287–294. doi: 10.5021/ad.2012.24.3.287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Packeu A, Lebecque P, Rodriguez-Villalobos H, Boeras A, Hendrickx M, Bouchara JP, Symoens F. 2012. Molecular typing and antifungal susceptibility of Exophiala isolates from patients with cystic fibrosis. J Med Microbiol 61:1226–1233. doi: 10.1099/jmm.0.042317-0. [DOI] [PubMed] [Google Scholar]
  • 18.Najafzadeh MJ, Saradeghi Keisari M, Vicente VA, Feng P, Shamsian SA, Rezaei-Matehkolaei A, de Hoog GS, Curfs-Breuker I, Meis JF. 2013. In vitro activities of eight antifungal drugs against 106 waterborne and cutaneous Exophiala species. Antimicrob Agents Chemother 57:6395–6398. doi: 10.1128/AAC.01629-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pinto A, Halliday C, Zahra M, van Hal S, Olma T, Maszewska K, Iredell JR, Meyer W, Chen SC. 2011. Matrix-assisted laser desorption ionization–time of flight mass spectrometry identification of yeasts is contingent on robust reference spectra. PLoS One 6:e25712. doi: 10.1371/journal.pone.0025712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Fraser M, Brown Z, Houldsworth M, Borman AM, Johnson EM. 2016. Rapid identification of 6328 isolates of pathogenic yeasts using MALDI-TOF MS and a simplified, rapid extraction procedure that is compatible with the Bruker Biotyper platform and database. Med Mycol 54:80–88. [DOI] [PubMed] [Google Scholar]
  • 21.Sitterlé E, Giraud S, Leto J, Bouchara JP, Rougeron A, Morio F, Dauphin B, Angebault C, Quesne G, Beretti J-L, Hassouni N, Nassif X, Bougnoux M. 2014. Matrix-assisted laser desorption ionization-time of flight mass spectrometry for fast and accurate identification of Pseudallescheria/Scedosporium species. Clin Microbiol Infect 20:929–935. doi: 10.1111/1469-0691.12574. [DOI] [PubMed] [Google Scholar]
  • 22.Lau A, Drake S, Calhoun L, Henderson C, Zelazny A. 2013. Development of a clinically comprehensive database and a simple procedure for identification of molds from solid media by matrix-assisted laser desorption ionization–time of flight mass spectrometry. J Clin Microbiol 51:828–834. doi: 10.1128/JCM.02852-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Becker P, de Bel A, Martiny D, Ranque S, Piarroux R, Cassagne C, Detandt M, Hendrickx M. 2014. Identification of filamentous fungi isolates by MALDI-TOF mass spectrometry: clinical evaluation of an extended reference spectra library. Med Mycol 52:826–834. doi: 10.1093/mmy/myu064. [DOI] [PubMed] [Google Scholar]
  • 24.Cassagne C, Ranque S, Normand A-C, Fourquet P, Thiebault S, Planard C, Hendrickx M, Piarroux R. 2011. Mold routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS One 6:e28425. doi: 10.1371/journal.pone.0028425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kondori N, Erhard M, Welinder-Olsson C, Groenewald M, Verkley G, Moore ER. 2015. Analyses of black fungi by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS): species-level identification of clinical isolates of Exophiala dermatitidis. FEMS Microbiol Lett 362:1–6. doi: 10.1093/femsle/fnv016. [DOI] [PubMed] [Google Scholar]
  • 26.Özhak-Baysan B, Öğünç D, Döğen A, Ilkit M, de Hoog GS. 2015. MALDI-TOF MS-based identification of black yeasts of the genus Exophiala. Med Mycol 53:347–352. doi: 10.1093/mmy/myu093. [DOI] [PubMed] [Google Scholar]
  • 27.Fothergill AW, Rinaldi MG, Sutton DA. 2009. Antifungal susceptibility testing of Exophiala spp.: a head-to-head comparison of amphotericin B, itraconazole, posaconazole and voriconazole. Med Mycol 47:41–43. doi: 10.1080/13693780802512451. [DOI] [PubMed] [Google Scholar]
  • 28.Borman AM, Fraser M, Linton CJ, Palmer MD, Johnson EM. 2010. An improved protocol for the preparation of total genomic DNA from isolates of yeast and mould using Whatman FTA filter papers. Mycopathologia 169:445–449. doi: 10.1007/s11046-010-9284-7. [DOI] [PubMed] [Google Scholar]
  • 29.Campbell CK, Borman AM, Linton CJ, Bridge PD, Johnson EM. 2006. Arthroderma olidum, sp. nov. A new addition to the Trichophyton terrestre complex. Med Mycol 44:451–459. [DOI] [PubMed] [Google Scholar]
  • 30.Carbone I, Kohn LM. 1999. A method for designing primer sets for speciation studies in filamentous ascomycetes. Mycologia 91:553–556. doi: 10.2307/3761358. [DOI] [Google Scholar]
  • 31.Liu YJ, Whelen S, Hall BD. 1999. Phylogenetic relationships among ascomycetes: evidence from an RNA polymerase II subunit. Mol Biol Evol 16:1799–1808. doi: 10.1093/oxfordjournals.molbev.a026092. [DOI] [PubMed] [Google Scholar]
  • 32.Borman AM, Desnos-Ollivier M, Campbell CK, Bridge PD, Dannaoui E, Johnson EM. 2016. Novel taxa associated with human fungal black-grain mycetomas: Emarellia grisea gen. nov., sp. nov., and Emarellia paragrisea sp. nov. J Clin Microbiol 54:1738–1745. doi: 10.1128/JCM.00477-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Pearson WR, Lipman DJ. 1988. Improved tools for biological science comparison. Proc Natl Acad Sci U S A 85:2444–2448. doi: 10.1073/pnas.85.8.2444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Katoh K, Standley DM. 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Swofford DL. 2002. PAUP*. Phylogenetic Analysis Using Parsimony (*and other methods). Sinauer Associates, Sunderland, Massachusetts. [Google Scholar]
  • 36.Clinical and Laboratory Standards Institute. 2008. Reference method for broth dilution antifungal susceptibility testing of filamentous fungi, 2nd ed; approved standard. CLSI document M38-A2 Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]

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