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Journal of Clinical Microbiology, March 2005, p. 1348-1352, Vol. 43, No. 3
0095-1137/05/$08.00+0 doi:10.1128/JCM.43.3.1348-1352.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Laboratorio de Micologia, Instituto de Medicina Tropical "Alexander von Humboldt," Universidad Peruana Cayetano Heredia, Lima, Peru,1 Mycology Section, Scientific Institute of Public Health, Brussels,2 Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium3
Received 13 August 2004/ Returned for modification 3 October 2004/ Accepted 18 November 2004
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Unequivocal diagnosis is obtained by culturing the fungus. S. schenckii is a dimorphic fungus in the class Hyphomycetes, isolated and cultivated from lesions under the anamorph state only. Mycelial culture develops at 25°C, whereas a characteristic shift to the yeast form is obtained in brain heart infusion (BHI) broth at 37°C.
The plant pathogen Ophiostoma stenoceras is the most closely related perfect fungus, with a quasi-undistinguishable conidial state. The primary habitats for S. schenckii are soil and plants. In contrast with the Ophiostoma species, no preferential biological association or pathogenicity for plants has been described for S. schenckii (12).
According to the classical description, resulting from analysis of many outbreaks among miners, forestry workers, gardeners, florists, etc., cutaneous and subcutaneous sporotrichoses are acquired through the skin by traumatic implantation of the fungus from the soil and plants (12, 15, 23). Sporotrichosis is mainly an occupational disease; additionally, a minor trauma may play an important role in introducing S. schenckii into the skin, as suggested by the association between sporotrichosis and ownership of a cat (14). Infected cats have been implicated in several small outbreaks or case reports of sporotrichosis in humans, suggesting an alternative route of infection (1, 6, 7). Cats represent a significant zoonotic potential, because their lesions are rich in parasites and they are close to humans.
Several molecular epidemiology studies have addressed the question of the genetic diversity of S. schenckii. The resulting clusters of strains have been found to be related to geographic origin and not to pathological or ecological features (5, 8-11, 13, 16, 20, 21, 22).
The experiments presented in this paper were carried out with a view to describing the genetic diversity of S. schenckii. The main group of strains investigated here comprised clinical strains of S. schenckii from different regions of Peru, a country characterized by a large ecological diversity between the coast, highlands, and tropical forest. A DNA fingerprinting method (amplified fragment length polymorphism [AFLP]) was used to identify different populations of strains. DNA sequencing of the internal transcribed spacer 2 (ITS2) was performed in order to determine the evolutionary relationship between the different populations.
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TABLE 1. Sporothrix schenckii strains used in this study
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The pigmentation of the colonies was observed after 7 and 14 days of incubation at 25°C for subcultures performed in Sabouraud dextrose agar. The ability to shift to the yeast phase was examined microscopically after 7 days for subcultures performed at 37°C in BHI broth.
For DNA extraction, cells were cultured in BHI broth for 7 days with constant agitation at 37°C for the S. schenckii strains or 25°C for Ophiostoma. Cells were recovered by centrifugation and then disrupted by using glass beads and vortexed. The DNA was purified by using the Dneasy Plant Maxi Kit (QIAGEN, Hilden, Germany). The AFLP procedure was performed according to the AFLP Analysis System for Microorganisms protocol (AFLP microorganism primer kit; Invitrogen Life Technologies, Carlsbad, Calif.). The first PCR was performed with the two preselective primers EcoRI core sequence and MseI core sequence, under the following conditions: 20 cycles of 30 s at 94°C, 60 s at 56°C, and 60 s at 72°C. A second PCR was performed using selective fluorescent primers EcoRI-AA and different primer MseI core sequences, MseI-A and MseI-G. Conditions were as follows: a 30-s denaturation step at 94°C, a 1-min annealing step, and a 1-min extension step at 72°C. The annealing temperature in the first cycle was 65°C; for each of the next 12 cycles, the annealing temperature was reduced further by 0.7°C; for the remaining 23 cycles, it was kept at 56°C.
Two microliters of each sample was mixed with 1 µl of a DNA size standard CEQ 600 (Beckman Coulter, Fullerton, Calif.) and 18 µl of sample loading solution in each well of a 96-well plate provided by the manufacturer. Capillary electrophoresis was performed in a CEQ 2000XL DNA analysis system (Beckman Coulter) using the fragment-2 parameters (inject voltage, 2 kV for 60 s; denaturation temperature, 90°C for 120 s; capillary temperature, 35°C; separation voltage, 6 kV for 60 min).
The list of fragments generated by AFLP wzx exported to Gel Compare software (version 4.1; Applied Maths, Sint-Martens-Latem, Belgium) and analyzed by the unweighted-pair group method using arithmetic means (UPGMA) with the Dice coefficient.
A DNA fragment covering the 3' end of the 18S rRNA, the ITS, and the 5' end of the 26S rRNA was amplified with primers IT1 (5'-GTCGCTACTACCCGATTGAATGGCT-3') and IT2 (5'-CCTCCGCTTATTGATATGCTTAAG-3'). PCR was performed for 35 cycles of denaturation at 92°C for 30 s, annealing at 52°C for 30 s, and extension at 72°C for 1 min. Cycle sequencing of the ITS2 region was performed with primers ITS3 (5'-GCATCGATGAAGAACGCAGC-3') and ITS4 (5'-TCCTCCGCTTATTGATATGC-3') using the Beckman Coulter TM CEQ dye terminator cycle sequencing quick start kit. Further editing and multiple alignments were performed by using Lasergene (version 5; DNASTAR, Inc., Madison, Wis.), and the distance method UPGMA was used to create the tree (see Fig. 3) using the PAUP program (version 4.0b10, 2001; Sinauer Associates, Inc., Sunderland, Mass.).
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FIG. 3. Phylogram expressing distances (UPGMA) between ITS2 sequences of different strains typed by AFLP (this study) or mtDNA-RFLP (22). DNA sequences aligned cover part of the 5.8S sequence and the complete ITS2 sequence (316 positions aligned). Sequences from the work of Watanabe et al. (22) are identified by GenBank accession no. AB122042 is an mtDNA group B strain from Japan. AB122048, AB0122050, and AB0122052 are mtDNA group A strains from Argentina, Venezuela, and South Africa, respectively.
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The reproducibility of this technique was high but not perfect; however, the presence of nonreproducible bands did not modify the clustering. Figure 1 shows that we found two clusters for the Peruvian strains: cluster A (23 strains) and cluster B (9 strains). The South African strain was more related to Peruvian cluster A. The Colombian and Bolivian strains were closer to Peruvian cluster B.
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FIG. 1. Dendrogram generated by UPGMA analysis with the Dice coefficient from AFLP profiles obtained for strains of S. schenckii by using primers EcoRI-AA and MseI-A, showing Peruvian clusters A and B.
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The Italian S. schenckii strain was separated from the other S. schenckii strains, and O. piceae and S. catenata were outside of the S. schenckii clusters. There was no correlation between the AFLP types of the Peruvian strains and their geographical origins; S. schenckii strains from Amazonas, Apurimac, Ayacucho, Cuzco, Lima, Loreto, San Martin, and Puno (Fig. 2) are dispersed into the two genetic clusters A and B. No correlation was found between AFLP type and the clinical form of the disease (P = 0.037).
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FIG. 2. Map of Peru showing the geographic locations of S. schenckii strains used in this study. The AFLP cluster B/AFLP cluster A ratio is given in parentheses for each location.
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The sequences obtained for Peruvian strains from AFLP clusters A and B were nearly identical; however, a 1-bp difference at position 189 allows us to distinguish between the type A strains (strains 15542, 15528, 15527, 15495, 15491, and 15489) and the type B strains (strains 15500, 15501, 15516, and 15529) (Fig. 3). The Colombian strain (strain 3774) had the same ITS2 sequence as the Peruvian strains with the type B AFLP profile. Among Mexican strains, 19717 (EH176) presented the type B ITS2 sequence, while 19720 (EH190), 19716 (EH143), 19719 (EH182), and 19718 (EH179) presented the more-frequent type A sequence. The South African strain (strain 3787) was very close to the Peruvian types A and B (>99% identity). The Italian strain (strain 4178) was more distant (95% identity). The Belgian O. piceae strain (strain 695) was clearly distinct at the species level (75% identity).
All clinical S. schenckii strains shifted to the yeast phase at 37°C in BHI broth. The two environmental S. schenckii cultures exhibited filamentous growth at 37°C. O. piceae and S. catenata did not grow at 37°C.
Dark-brown pigmentation appeared in 100% of genotype B cultures (n = 9) and in 56% (12 out of 23) of genotype A cultures; the difference found was statistically significant (P < 0.05). No association was found between the clinical sources of the strains and their pigmentation (P = 0.33).
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Analysis of the Peruvian strains reveals that their ITS2 sequences are almost identical. The only divergence, a 1-bp difference at position 189 (Fig. 3), correlates perfectly with the division into two groups resulting from AFLP analysis.
The variability observed in the AFLP patterns appear to result from a combination of factors. Geographical separation is certainly important; however, the main division was not related to geography. For example, the main cluster of Peruvian strains, cluster A, is more closely related to the two main clusters of Mexican strains than to the other Peruvian strains of cluster B. More-detailed analysis of Peruvian strains also failed to link genotype and geographical origin (Fig. 1). Type A is dominant and is found all over the country (Ayacucho [n = 1], Lima [n = 5], Amazonas [n = 3], Apurimac [n = 7], Cajamarca [n = 1], Loreto [n = 2], San Martin [n = 1], Cuzco [n = 2], and Puno [n = 1]). Type B was less frequent but was not restricted to defined areas (Lima [n = 2], Apurimac [n = 1], Amazonas [n = 3], Cuzco [n = 2], and Loreto [n = 1]). There was no association between the clinical form of sporotrichosis and a particular genotype (P = 0.37). The origins of cluster A strains are lymphocutaneous (n = 12), fixed cutaneous (n = 5), disseminated cutaneous (n = 2), environmental (n = 2), and not recorded (n = 2). Cluster B strains are from lymphocutaneous (n = 6), fixed cutaneous (n = 2), and disseminated cutaneous (n = 1) cases. The main factors determining the clinical form are most likely related to the condition of the patient rather than to the genotype of the strains.
AFLP is a multilocus genotyping method that has been successfully applied to the study of pathogenic fungi such as Cryptococcus neoformans. Boekhout et al. (2), using AFLP, described considerable divergence between the different varieties of C. neoformans, a finding supported by independent phenotypic, biochemical, and molecular markers.
The division of Peruvian strains into two AFLP clusters has not been found to be related to the substrate, pathology, or geography. All AFLP type B strains have the ability to produce a dark-brown pigment. This characteristic is also present in 56% of the AFLP-type A strains; the difference was found to be statistically significant (P < 0.05). Romero-Martinez et al. (19) showed that melanized cells of S. schenckii are more resistant to killing by human monocytes, suggesting a link with pathogenicity. In our study, no association was found between pigmentation of the colonies and clinical form. As mentioned above for AFLP, the condition of the patient is most likely the main factor determining the clinical form.
The relationship between the genetic diversity and ecology of S. schenckii has not been studied. S. schenckii has been isolated from a variety of environmental sources. Also, sporotrichosis occurs in cats, dogs, and horses, and transmission from animals to humans is known (1, 6, 7). It might seem, therefore, that the two populations identified in Peru occupied two distinct niches in the environment of patients. Further work, including strains from animals and more samples from the environment, is required in order to identify a putative association between the genotype and specific niches. This paper introduces automated AFLP analysis as a valuable tool for investigating the biodiversity of S. schenckii. Compared to other methods such as mtDNA-RFLP or rRNA phylogeny, AFLP has the great advantage of targeting the whole genome rather than a part of the genome, thus allowing further studies that could establish a specific link between particular DNA fragments and relevant phenotypic markers.
E. Neyra acknowledges the financial support of the Directorate-General for Development Cooperation of Belgium.
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