Articles |
Molecular identification of pathogenic fungi
1 Mycology Reference Laboratory, Health Protection Agency, Myrtle Road, Kingsdown, Bristol BS2 8EL, UK 2 Department of Pathology and Microbiology, University of Bristol, Bristol, UK
* Corresponding author: Tel: +44-117-926-8683; Fax: +44-117-922-6611; E-mail: andy.borman{at}ubht.nhs.uk
| Abstract |
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Systemic fungal infections represent a major cause of morbidity and mortality in immunocompromised patients. The ever-increasing number of yeast species associated with human infections that are not covered by conventional identification kits, and the fact that moulds isolated from deep infections are frequently impossible to identify using classical methods due to lack of sporulation, has driven the need for rapid, robust molecular identification techniques. We recently developed a rapid method of preparing fungal genomic DNAs using Whatman FTA filters, which has greatly facilitated molecular identification. Mould isolates cultured from dark grain mycetomas (destructive infections of skin/subcutaneous tissues that progress to involve muscle and bone) invariably fail to produce features by which they can be identified and were taxonomic mysteries. PCR amplification and sequencing of 250 bp of the internal transcribed spacer region 1 (ITS1) allowed us to distinguish between the known agents of mycetoma, to describe three new species associated with this disease and to define phylogenetic relationships. For yeasts, 153 isolates encompassing 47 species that had failed to be identified using classical methods were unambiguously identified by conventional sequencing of 350 bp of the 26S rRNA D1D2 region. These represented 5% of the isolates examined and included common species with atypical biochemical and phenotypic profiles, and rarer species infrequently associated with infection. Our recent studies indicate that FTA extraction coupled with pyrosequencing of 25 bp of ITS2 could potentially identify most common yeast species from pure culture in half a day. Together, these data underscore the importance of molecular techniques for fungal identification.
Keywords: moulds , yeasts , nuclear ribosomal DNA genes , ITS , pyrosequencing
| Introduction |
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Invasive infections by mould and yeast species remain a significant cause of mortality in immunocompromised patients and those undergoing invasive procedures.1,2 Rapid identification of yeast isolates from clinical samples is particularly important given their innately variable antifungal susceptibility profiles, but is complicated by the increasing number of emerging pathogenic species that are not included in the repertoires of commercially available conventional identification kits. The identification of mould species associated with deep, invasive infections is equally complicated, due to the astonishing diversity of moulds capable of causing infections in immunocompromised hosts and the fact that isolates cultured from deep sites have often undergone pleomorphism and ceased to produce structures by which they can be identified.3 Thus, the identification, taxonomy and epidemiological analyses of fungal pathogens are increasingly dependent on modern molecular techniques, based on PCR amplification of conserved regions of the genome and sequencing of the resulting PCR products.4–6 However, such approaches have long been hindered by the presence of potent PCR inhibitors in fungal cultures, and difficulties inherent in breaking fungal cell walls.7
Although many current fungal DNA extraction procedures eliminate the contaminants that commonly inhibit PCR, the resulting protocols are laborious and costly. These limitations drove us recently to examine the possibility of using Whatman FTA filter matrices as a rapid method for generating and storing PCR-grade fungal genomic DNA.8 Whatman's proprietary FTA filter cards have successfully been employed for the rapid preparation and archiving of DNA from a wide variety of sources, including viruses, bacteria, plants, corals, protozoa and mammalian tissue.9
Many molecular identification approaches have been evaluated to date for fungi.4–6,8 Of these, PCR amplification of genomic DNA followed by sequencing of resulting amplicons has shown the most promise, at least for the more unusual isolates from human infections. Target regions for sequence-based approaches ideally should evolve slowly and show sufficient conservation among fungi to allow cross-species amplification, while being variable enough to allow robust discrimination between closely related species. In studies using limited numbers of different isolates, sequencing of portions of the nuclear ribosomal RNA gene cassette, and specifically the internal transcribed spacer (ITS) regions, proved sufficient to discriminate between many species of clinically important yeasts10,11 and useful for phylogenetic analyses of a variety of moulds.12
Here, we summarize the recent advances in the field of molecular identification of fungal pathogens, highlighting the approaches used for both yeast and mould isolates, and the potential for more rapid identification of yeasts using the innovative and ultra-rapid pyrosequencing of short regions of specific yeast genes.
| Rapid extraction of molecular-grade fungal genomic DNA using Whatman FTA paper |
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Prior to our use of Whatman FTA cards, the simplest protocols for fungal DNA preparation were relatively expensive, involved several centrifugation steps,13,14 and took over 1 h to complete. Whatman FTA filter matrices are fibrous cards pre-treated with chelators and denaturants that lyse and inactivate most microorganisms on contact. The large nucleic acids released after lysis become physically entangled in the fibres of the FTA matrix, whereas cellular debris is rapidly removed by washing the inoculated card. We demonstrated that application of aqueous suspensions of yeast cells or hyphal fragments and conidia (in the case of moulds) to dry FTA filters, followed by brief microwave treatment, inactivated all 38 yeast and 75 mould species tested. Moreover, 218 of 226 fungal isolates tested (96.5%) liberated amplifiable DNA after application to FTA filters, with a total preparation time of
15 min (see Borman et al.8 for the full list of the organisms tested). PCR detection limits evaluated with yeast suspensions were
10 cfu per punch. In addition, recent experiments with stored inoculated cards indicate that fungal genomic DNA archived on FTA filters is stable at least for several years (data not shown). | Molecular identification and phylogenetic relationships of the agents of dark grain mycetoma |
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Mycetoma (Madura Foot) is a destructive infection of the skin and subcutaneous tissues, progressing to involve muscle and bone. Infection follows traumatic implantation of fungal spores or hyphal fragments, present in soil or on plant material. Although infections mainly occur in the tropical areas of India, Africa and the Americas, imported cases of fungal mycetoma are not uncommon in the UK. Diagnosis of mycetoma requires culture of the responsible agent from biopsy material. Unfortunately, identification of the causative agent poses particular problems. In effect, the three principal species of fungi known to cause dark grain mycetoma (Madurella grisea, Madurella mycetomatis and Pyrenochaeta romeroi) rarely produce structures in culture by which they can be identified. Moreover, virtually no data exist concerning the genetic relationships between these organisms, and the possibility that other moulds may provoke mycetoma has not been addressed.
To investigate these issues, isolates from cases of mycetoma stored in the National Collection of Pathogenic Fungi (NCPF) housed at the Mycology Reference Laboratory (MRL) were cultured and fungal genomic DNA extracted using Whatman FTA papers. PCR was used to amplify the ITS region 1 and the D1/D2 region of the large ribosomal subunit for each isolate as described previously,15 and PCR products were sequenced.
FTA filters allowed rapid preparation of PCR-grade fungal genomic DNA from mycetomal agents in <1 h. PCR amplification and sequencing of either the D1/D2 or ITS1 regions discriminated between the various known fungal agents of mycetoma (S.-J. Miles, A. M. Borman, C. J. Linton, C. K. Campbell, P. D. Bridge and E. M. Johnson, unpublished results). Importantly, four distinct genetic groups were identified among agents previously identified as M. grisea by classical methods (Figure 1). All share low genetic relatedness with M. mycetomatis. Group I fungi are identical to P. romeroi and are thus isolates of P. romeroi that had never been induced to sporulate. Groups II–IV are genetically distinct from P. romeroi (group I) and from each other and matched no related sequences in the available public databases. On the basis of sequence comparisons with the main fungal orders, group II isolates, which were all from the Indian subcontinent, are best placed in Pleosporales and are possible Leptosphaeraceae. Group III isolates (all from South America) and group IV isolates (from diverse geographical locations) are probably members of the Pleosporales and Sordariales, respectively. Interestingly, the three new species of mycetomal agents identified by this approach were also shown in the same study to have significantly different profiles of antifungal drug susceptibility, underscoring the importance of molecular identification of these agents for optimized patient management.
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| Large ribosomal subunit sequence-based identification of unusual pathogenic yeasts |
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To date, more than 700 species of yeast have been described, of which more than 200 belonging to 25 genera have been isolated from human infections. In addition, the increasing role of non-Candida albicans species, and the intrinsic or potential resistance of some emerging species to certain antifungal agents, makes rapid species-level identification even more important for informed therapeutic decisions in acutely ill patients. Currently available biochemical systems for yeast identification perform admirably with the 30 or 40 most commonly encountered species, but are inadequate to identify the more unusual potential pathogens.
Over a 2 year period, the MRL received 3033 yeast isolates for identification. Of these, 2880 (95%) were identified using a combination of germ tube testing and the commercial AUXACOLOR2 or API 20C AUX biochemical kits.16 The remaining 153 isolates were only satisfactorily identified by PCR amplification and sequencing of the D1/D2 region of the large ribosomal subunit gene. These 153 isolates encompassed rare examples of commonly encountered yeasts that had yielded erroneous or incomplete phenotypic or biochemical profiles in conventional identification systems, but also a large number of the less common yeast species (Table 1). In all cases, a combination of BLAST searches of resulting sequences against those in the public databases and phylogenetic analyses with sequences in our own laboratory's database allowed unambiguous identification of the unknown isolate (Figure 2). Moreover, molecular identifications correlated extremely well with the known biochemical and phenotypic properties of the given organisms.
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| The ultra-rapid identification of yeast isolates using pyrosequencing |
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Although our past studies have demonstrated that sequence-based molecular identification of yeast isolates is robust, the methodologies involved (including out-of-house automated sequencing) are still time-consuming (turnaround times of 5–7 days) and relatively expensive. Given these drawbacks, we recently evaluated the possibility of identifying yeasts using pyrosequencing (BiotageTM) technology, using the commercially available Fungal ID kit marketed by Biotage (Uppsala, Sweden), and based on pyrosequencing of some 25 bp of the ITS2 region. Pyrosequencing correctly identified all test organisms, which included multiple isolates of each of the 11 most common Candida species from Table 1 and also isolates of the rarer organisms Candida norvegensis, Candida inconspicua, Candida rugosa, Candida fabianii, Candida lipolytica and Candida pelliculosa. Interestingly, pyrosequencing of a very short region of ITS2 was sufficient to discriminate between Candida glabrata and Candida nivariensis, a recently described yeast species,17 which we believe to be an emerging pathogen (R. Petch, C. J. Linton, M. D. Palmer, A. M. Borman and E. M. Johnson, unpublished results). This approach was also able to distinguish Candida parapsilosis from Candida orthopsilosis and Candida metapsilosis (A. M. Borman, C. J. Linton and E. M. Johnson, unpublished results), which are species that have only recently been distinguished from the C. parapsilosis complex on the basis of multilocus sequence typing.18
| Conclusions and perspectives |
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Our recent studies have demonstrated that Whatman FTA technology represents a cheap, ultra-rapid method of fungal genomic DNA preparation, which has greatly facilitated our own molecular approaches. The experimental results presented here are an attempt to demonstrate the utility of molecular methods for fungal identification. PCR amplification and sequencing of conserved regions of the fungal genome allow unambiguous identification of both mould species that are impossible to identify with classical mycological techniques and yeast species that fall outside the range of currently available commercial identification kits and which would require laborious biochemical analyses for correct identification.
We believe that molecular biology will impact more and more heavily on medical mycology. Species identification based on conventional phenotypic methods is often time-consuming and laborious and is hindered by the unstable and subjective nature of phenotypic characteristics, which are readily influenced by culture conditions. Conversely, molecular methods involving gene sequencing are objective, yield results that are uninfluenced by growth conditions, are frequently more rapid than phenotypic approaches and are capable of discriminating between fungi that fail to produce distinctive morphological features. Indeed, recent molecular studies have shown that many single species of fungi pathogenic to humans in fact contain several phylogenetically distinct entities. Such cryptic species have been described for C. parapsilosis,18 C. albicans,19 Cryptococcus neoformans,20 Aspergillus flavus,21 Histoplasma capsulatum,22 Coccidioides immitis23 and even Aspergillus fumigatus.24,25 Moreover, at least in certain cases, the ability to distinguish these cryptic species is of clinical importance as they have been shown to have significantly different antifungal susceptibility profiles or pathogenicity characteristics.22,25,26 Many such cryptic species are extremely difficult or even impossible to identify using conventional phenotypic methods.
However, several caveats remain concerning the over-reliance on molecular techniques. First, to date, there is no accepted rule on the number of nucleotide differences in rRNA genes required to define different species or genera. Secondly, the accuracy and especially the true identities of a proportion of sequences submitted to public searchable databases appear dubious. In such cases, spurious identifications can be guarded against by careful examination of the correlation between the results of molecular techniques and available phenotypic and biochemical features. Molecular approaches involving the sequencing of multiple loci for each isolate are likely to help resolve some of these problems.23
| Funding |
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These studies were supported in part by Whatman International and Biotage.
| Transparency declarations |
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None to declare.
| Acknowledgements |
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We are indebted to the members of the MRL past and present for their contributions to the molecular identification of fungi and to our many national and international collaborators, for sharing unpublished data.
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