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MYCOLOGY |
Department of Biological Sciences, Brock University, St Catharines, Ontario, Canada L2S 3A1
Corresponding author: Dr M. J. Bidochka (e-mail: bidochka{at}spartan.ac.brocku.ca).
Received 11 March 2002; revised version accepted 6 Aug. 2002.
| Abstract |
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| Introduction |
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Once inhaled, conidia are eliminated by most individuals; however, immunocompromised individuals are at greatest risk. Conidia can colonise the upper respiratory tract, causing pulmonary infections including bronchopulmonary aspergillosis, aspergilloma and invasive aspergillosis [36]. From 1992 to 1994 the Canadian Infectious Disease Society enumerated nosocomial fungal infections from centres across the country, documenting 787 cases related to A. fumigatus of which 65% were fatal, and mortality was attributed to fungal infection in 85% of cases [7].
Outbreaks of nosocomial invasive aspergillosis, and the high fatalities associated with infection, have led to an effort to identify factors involved in the virulence of A. fumigatus and the identification and characterisation of highly virulent isolates. Are certain clinical isolates more virulent and genetically distinct from other isolates, or is infection by A. fumigatus simply a matter of contracting infection from any environmental source? Leenders et al. [6] characterised five clinical isolates obtained over a 2-month period and found that they were genetically distinct from each other and from environmental isolates. Tang et al. [8] found that clinical isolates were distinct from environmental isolates; however, only 2 clinical and 11 environmental isolates were characterised. Mondon et al. [9, 10] identified a 0.95-kb PCR-amplified DNA fragment in A. fumigatus isolates associated with virulence in a murine model. On the other hand, Bart-Delabesse et al. [11] found no genetic differences between clinical and environmental isolates. Similarly, Debeaupuis et al. [12] have shown that no particular genotype was associated with human disease.
Most of the studies that have been done on the population genetics of A. fumigatus have investigated European samples [2, 911, 13, 14]. The present study examined genetic differences between environmental isolates of A. fumigatus collected in Ontario, Canada and clinical isolates from the same region. To examine the population genetic structure of A. fumigatus, microsatellite analysis was used with primers developed by Bart-Delabesse et al. [11].
| Materials and methods |
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DNA isolation and microsatellite analysis
Conidia of A. fumigatus were inoculated into flasks containing 50 ml of sucrose broth (sucrose 2%, peptone 1%, yeast extract 0.3%, NaCl 0.5% at pH 6.87.0). Each flask was incubated overnight at 45°C in an incubator shaker set at 200 rpm. Mycelia were collected under vacuum filtration on to glass fibre filters and stored at -80°C. Frozen mycelia were ground to a fine powder with liquid nitrogen and a mortar and pestle.
DNA was extracted with the QIAGEN mini blood and tissue extraction kit, following the protocol outlined for tissue extraction. To obtain a sufficient quantity of DNA, the amount of ground mycelium used in the extraction procedure was doubled and the QIAGEN protocol was adjusted accordingly. DNA concentration and integrity were checked by electrophoresis with agarose 0.8% with TBE buffer.
Genetic variability between the environmental and clinical isolates of A. fumigatus was determined by microsatellite analysis. Primers and amplification conditions were those used by Bart-Delabesse et al. [11]. PCR products were separated by electrophoresis on agarose 2.53.0% gels. Gels were photographed with a gel documentation system (Gel Doc 1000, BioRad) and the sizes of the PCR products were calculated by comparison with internal mol. wt standards.
Statistical analysis
With NTSYS, a similarity matrix was calculated based on the method of simple matching coefficient. The matrix was analysed for hierarchical clustering by the unweighted pair group method with arithmetic averages (UPGMA). Differences in allele banding pattern frequency for each primer set for clinical and environmental isolates were determined by
2 analysis.
Relationships among the 82 unique genotypes were also examined by constructing an unrooted phylogenetic network based on genetic distance, by the neighbour-joining method as implemented in PAUP ver. 4.b10, treating the different alleles at each microsatellite locus as unordered traits [15]. Three characteristics were then mapped on to the network, i.e., whether the samples were clinical or environmental, their geographic location and year of collection. Phylogenetic signal for any of these three characteristics would be indicated by separation of the characteristics on to different branches of the network.
| Results |
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Statistical analysis
Pairwise comparisons between all environmental and clinical isolates by microsatellite banding patterns were generated in NTSYS to create a similarity matrix. A dendrogram was produced based on the hierarchical UPGMA cluster analysis to examine how 111 isolates used for analysis were related to one another (Fig. 2). Some of the clinical and environmental isolates were identical at the four loci assessed and the probability of sharing all alleles was calculated from allele frequency data. Environmental isolate AFTU9 was identical to clinical isolates FR2963-97 and FR2406-97 (probability of 1.1x10-4); environmental isolate AFTU10 was identical to clinical isolate FR1862-97 (probability of 6.5x10-5); clinical isolate SF6053-97 was identical to environmental isolate AF0331FT (probability of 1.3 x 10-4); clinical isolate FR3019-97 was identical to environmental isolate AFTU5 (probability of 2.2 x 10-3); environmental isolate AFEC6 was identical to FR2837-97 (probability of 2.4x10-4); clinical isolates FR1724-97 and F6055-97 were identical to environmental isolate AF0505EC15 (probability of 6.3 x 10-3); and clinical isolate FR112-98 was identical to environmental isolate AF0715EC6 (probability of 5.4x10-5).
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A phylogenetic approach was used to investigate whether there was an association of microsatellite genotypes with environmental and clinical isolates and whether there was a phylogeographic or temporal association. There was no indication of any phylogenetic signal in clinical versus environmental samples (data not shown), as indicated by the fact that clinical and environmental groups were randomly dispersed across the entire network. Moreover, 7 (8.5%) of 82 genotypes were found in both clinical and environmental samples. There was no association of genotypes with geography or year of collection. Lack of support for the separation of clinical and environmental genotypes was also suggested by parsimony and bootstrap analyses that produced >312 000 shortest trees (length 8) with a completely unresolved consensus tree.
Fig. 3 shows the frequency distribution of alleles at each locus for clinical and environmental isolates.
2 analyses were performed to examine whether alleles present at particular loci were significantly more prevalent in clinical or environmental isolates. There were significant differences in the alleles at locus A when comparing clinical and environmental isolates (
2(3)=10.2618, p=0.016). There were more clinical isolates with alleles A3 and A4 than in the environmental isolates and there were more environmental isolates with allele A2. There were also differences in the distribution of alleles at locus D between clinical and environmental isolates (
2(8)=24.1595, p = 0.0022). There were more environmental isolates with alleles D4 and D9. Significant differences were not found for locus B (
2(5)=10.6914, p=0.0578) or for locus C (
2(3)=2.8114, p=0.4216).
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| Discussion |
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Genetic similarity of the clinical and environmental isolates found in the present study, and those of previous studies, could be interpreted several ways. A. fumigatus is a saprophytic fungus that has properties such as thermotolerance and the ability to excrete hydrolytic extracellular enzymes that consequently allow opportunist colonisation of lung tissue [17]. Isolates that have additional properties that confer greater virulence may be represented in the sample of environmental isolates. Another explanation is that there is a stochastic component to infection. The present study did not have access to information pertaining to the identity or the health status of infected individuals from which the clinical A. fumigatus samples were isolated. A susceptible, immunocompromised individual may be equally predisposed to infection by any isolate of A. fumigatus.
Clinical isolates were not unique to a geographical region within Ontario nor were environmental isolates phylogeographically related. For example, several genotypically related clinical isolates were obtained from Thunder Bay, Sudbury, Newmarket, St Thomas, Weston and Toronto. The distance from Thunder Bay to Toronto is c. 1000 km. Continuous exchange of conidia through air currents could explain the isolation of related genotypes from distant regions. However, geographical differences in the population genetics of A. fumigatus are not without precedent. For example, Katz et al. [18] identified an isolate of A. fumigatus that was unique to Australia.
Although there were no overall genotypic associations of clinical and environmental isolates, several microsatellite alleles were more predominant in either clinical or environmental isolates. These differences were not apparent in the phylogenetic analysis. The association of alleles with clinical isolates of A. fumigatus may indicate physical linkage to gene(s) involved in virulence. Mondon et al. [9, 10] identified a 0.95-kb PCR-amplified DNA fragment that was associated with virulence in a murine model. Although the fragment has not yet been identified as a virulence factor, it is possible that it may be linked to another gene that codes for a virulence factor. Katz et al. [18] found that there were differences in virulence among isolates of A. fumigatus. An ostrich infected with the isolate NSW3 responded positively to drug treatment while ostriches infected with a different isolate did not. Tsai et al. [19] identified a gene required for conidial pigmentation (alb1) which, when mutagenically disrupted, resulted in an albino conidial phenotype and showed a loss of virulence in a murine model.
Linkage between genes associated with virulence and microsatellite loci may be perpetuated in isolates of A. fumigatus because it is an asexual, haploid fungus. Even without selection for virulence the time required for linkage equilibrium to develop among loci would be much greater in Aspergillus than in a sexual organism. New combinations of unlinked loci would be generated by parasexual mechanisms: mutation plus vegetative hyphal fusion between genetically dissimilar types, karyogomy, mitotic recombination and spontaneous haploidisation. Given the rarity of these events, linked loci would tend to be maintained in a specific configuration. A dynamic equilibrium may exist between random recombination of loci in the natural environment and selection for virulence factors during host infection cycles.
The potential genetic differences between clinical and environmental isolates of A. fumigatus with respect to linked virulence and microsatellite loci illustrate the need for more research in this area. Differences in potential virulence factors between clinical and environmental isolates of A. fumigatus are currently being explored.
| Acknowledgments |
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| References |
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