Multilocus sequence typing (MLST) based on six loci was used to analyze the relationship of 58 Candida tropicalis isolates from individual patients in a general hospital in Beijing, China. A total of 52 diploid sequence types (DSTs) were generated by the MLST, all of which were new to the central database. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrograms were constructed, which showed that the 58 isolates were distributed robustly and 6 main groups were clustered regardless of the specimen source and medical department. The minimum spanning tree (MST) of the 58 isolates (52 DSTs) and all 401 isolates (268 DSTs) in the C. tropicalis central database (http://pubmlst.org/ctropicalis/) indicated that the isolates in this study clustered in three relative pure clonal complexes, and 2 clustered with isolates from Taiwan, Belgium, Brazil, and the US. This study presents the first MLST analysis of C. tropicalis isolates from Mainland China, which may be useful for further studies on the similarity, genetic relationship, and molecular epidemiology of C. tropicalis strains worldwide.
Citation: Wu Y, Zhou H, Wang J, Li L, Li W, et al. (2012) Analysis of the Clonality of Candida tropicalis Strains from a General Hospital in Beijing Using Multilocus Sequence Typing. PLoS ONE 7(11): e47767. doi:10.1371/journal.pone.0047767
Editor: Wenjun Li, Duke University Medical Center, United States of America
Received: July 12, 2012; Accepted: September 19, 2012; Published: November 9, 2012
Copyright: © 2012 Wu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by Project Sponsored by the Young Scholar Scientific Research Foundation of China CDC (2012A107) and National Sci-Tech Key Project (2012ZX10004-201). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
With the increasing number of immunocompromised patients, long-term hospitalized patients, and invasive medical inspection and therapy, the genus Candida has emerged as a major group of opportunistic pathogens that cause superficial and invasive infections in humans –. Candida is considered the fourth most commonly isolated organisms from nosocomial bloodstream infections in United States and sixth in Europe –. The invasive infections caused by Candida species are associated with significant morbidity and mortality , , . Although Candida albicans accounts for the majority of infections, other non-albicans Candida species such as Candida tropicalis have increasingly been recognized as pathogens for these types of infections. C. tropicalis is considered the leading pathogen in nosocomial fungemia and hepatosplenic fungal infections in patients with cancer, especially leukemia , . C. tropicalis is the second most frequently isolated non-albicans pathogen in the Asia-Pacific region and in Brazil , . In large independent epidemiologic surveys, the isolation rate of C. tropicalis from blood is 5% to 30% , . In evolutionary terms, it is closely related to C. albicans –. Previous studies conducted in Asia show the frequency of fluconazole resistance in the intermediate C. tropicalis strains, which was originally found in Candida glabrata that displayed natural resistance to fluconazole , . Furthermore, a high proportion of C. tropicalis isolates has exhibited low susceptibility to flucytosine , .
Numerous molecular typing methods have been used to determine the molecular epidemiology and resistance of C. tropicalis, such as MLST (multilocus sequence typing). MLST is a useful tool in population analysis within a species , . The MLST data is comparable among labs worldwide via the central database in the Internet (http://www.mlst.net/), and it satisfies the increasing need for global surveillance . The MLST approach reveals different geographical origins, anatomic sources, and other characteristics between clades of closely related isolates . MLST has been developed for C. albicans and C. glabrata –, which offers further information regarding strain variations, including maintenance, replacement, and microevolution in the host . The MLST system for C. tropicalis, which comprises six housekeeping genes (ICL1, MDR1, SAPT2, SAPT4, XYR1 and ZWF1a), has been described by Tavanti et al. in 2005 .
The aim of our study is to examine the clonality of C. tropicalis by performing successive strain collection for one year in a general hospital in Beijing, China, and to ascertain whether factors such as hospital department origin, anatomic source, and so on are related to certain specific MLST diploid sequence types (DSTs) types. Furthermore, the correlation between the 52 DSTs of the isolates and the 268 DSTs that represent the international strains in the central database was analyzed through a minimum spanning tree (MST) using the BioNumerics software.
Candida tropicalis isolates
All of the isolates included in this study were collected from the clinical laboratory of a general hospital in Beijing, China during a period of 1 year (between August 2010 and September 2011). A total of 58 C. tropicalis strains were identified from the departments of the hospital (Table 1). These isolates were obtained from different specimens, namely, sputum/throat swab, urine, feces, vaginal/prostatic secretions, drainage/sanies, and blood. All isolates were identified by ITS sequencing and AUX 20C (bioMérieux) in our lab. The universal primers ITS1 and ITS4 were used to amplify the ITS fragment and to sequence it at both directions . All 58 isolates were collected from hospitalized patients except 5, which were from the Outpatient Department. Detailed information regarding these isolates is summarized in Table 1. The strains were stored at −80°C in brain–heart infusion (Oxoid). The isolates were maintained on Sabouraud agar (Oxoid) during the study.
Table 1. C.tropicalis isolates, isolate sources and genotypes determined by MLST analysis.doi:10.1371/journal.pone.0047767.t001
DNA extraction, PCR amplification and sequencing of C. tropicalis strains
The total genomic DNA of the isolates was extracted using a Yeast DNA Purification Kit (Tiangen) according to the manufacturer's instructions. The DNA concentrations were estimated with a spectrophotometer absorbance at 260. DNA extracts were stored at −20°C until use. Amplification were carried out in a final reaction volume of 50 µl that consisted of 25 µl of Premix rTaq (TAKARA), 20 µl of dH2O, 3 µl of template DNA, and 1 µl of the forward/reverse primers. The six multilocus loci of C. tropicalis were ICL1, MDR1, SAPT2, SAPT4, XYR1 and ZWF1a, as previously described . The primers and the detailed amplification conditions for these fragments were in accordance with methods described in previous studies , . The amplified fragments were purified using a PCR purification kit (Qiagen) according to the manufacturer's instructions. Both strands of the purified fragments were sequenced using the same primers as those used in the initial amplification. DNA sequencing was performed with an ABI 3730 DNA Analyzer (Applied Biosystems).
MLST analysis of C. tropicalis strains
The MLST data were based on six genes, namely, ICL1, MDR1, SAPT2, SAPT4, XYR1, and ZWF1a . Sequences of both strands were aligned using the DNASTAR software (http://www.dnastar.com). The allelic profiles and the DSTs of the six gene sequences were obtained from the C. tropicalis MLST sequence-type database (http://pubmlst.org/ctropicalis/). The new allelic profiles found in this study were submitted to the curator of the C. tropicalis MLST database and were assigned new allele numbers (Table 1). Phylogenetic analysis of the isolates were determined through cluster analysis using UPGMA (unweighted pair group method using their arithmetic averages) of the BioNumerics software version 5.1 (Applied Maths, Kortrijk, Belgium) based on the variable sites from the six gene fragments conjoined into a single sequence as described by Tavanti et al. , . The MLST groups were determined using the sequence similarity threshold of the UPGMA dendrogram, which was based on the statistical significance of the cluster nodes from bootstrapping with 1000 replications. The ratio of non-synonymous to synonymous sequences of the six gene fragments was calculated using the SAPT2 software in the MLST website (http://pubmlst.org/software/analysis/). The MLST clonal clusters were determined using the eBURST package (http://eburst.mlst.net/). The eBURST algorithm places all related isolates into clonal complexes and, whenever possible, predicts the founding or ancestral DST of each complex. The genetic relationship between the 58 isolates in our study and the 405 isolates in the central data library were further analyzed using the minimum spanning tree (MST) of the BioNumerics software. This method determines the putative relationships between isolates and records isolates as related when one of the six MLST gene loci are different. Discriminatory power was calculated by the application of the Simpson index .
C. tropicalis strain isolated and its differentiation by MLST
A total of 58 C. tropicalis strains were identified during the study period (August 2010 and September 2011) (Table 1). Each isolate was from a unique patient. The distribution of the isolated C. tropicalis strains is shown in Figure 1. All strains were susceptible to flucytosine, amphotericin B, fluconazole, itraconazole, and voriconazole (data not shown).
Figure 1. Distribution of the C. tropicalis isolates according to separate source/medical dept.
The number following the dept name is the total strains isolated from the according dept. ICU, Intensive Care Unit; EICU, Enhanced Intensive Care Unit; Dept, Department. The number following the word is No. of C. tropicalis strains isolated.doi:10.1371/journal.pone.0047767.g001
All 58 isolates were subjected to MLST analysis to determine their genetic relationship. A total of 2,677 bp from the six gene loci (ICL1, MDR1, SAPT2, SAPT4, XYR1, and ZWF1a) were sequenced in each of the 58 isolates and 28 (1.05%) polymorphic nucleotide sites were found. Up to 10 new alleles were found in the fragments of ICL1 (2), MDR1 (3), SAPT4 (1), XYR1 (2), and ZWF1a (2), which accordingly generated new genotypes. Up to 52 DSTs were differentiated among the 58 unique isolates based on the six sequenced fragments (Table 1). All 52 of the DSTs of strains from Beijing, China were not found in the internet DST database, and were added to the central C. tropicalis MLST database. The SAPT4 locus contained 10 polymorphic amino acids, the MDR1 locus has 6, the ICL1 and SAPT2 loci has 2, and the XYR1 and ZWF1a loci has 1 (Table 2). The percentage of polymorphic sites per gene was as follows: 0.45% (ICL1), 1.41% (MDR1), 0.38% (SAPT2), 2.56% (SAPT4), 0.27% (XYR1), and 0.19% (ZWF1a). Among the six sequenced gene loci, XYR1 was the most specific, distinguishing 15 genotypes per polymorphism for only 1 polymorphic site (Table 2), whereas SAPT4 was the least efficient gene (Table 2). Most isolates were discriminated based on a smaller number of polymorphisms in each fragment than those listed in Table 2. Large numbers of polymorphic sites were found in SAPT4 and MDR1, especially in strains BZR 67, BZR 84, BZR 85, BZR 90, BZR 95, BZR 103, and BZR 105, which indicates the heterozygosity or the homozygous of these sites. Depending on the sequence polymorphisms of all fragments, the ratios of the non-synonymous to the synonymous amino acid changes were less than 1, which suggests that the genes were under neutralizing selective pressure (Table 2).
Table 2. Properties of 6 gene fragments of C. tropicalis used for MLST of 58 isolates.doi:10.1371/journal.pone.0047767.t002
Population structure of 58 isolates from separate sources
The dendrogram in Figure 2 indicates the similarities of 58 C. tropicalis isolates, as determined using the MLST analysis of the six gene fragments. No large group was generated from the 58 isolates based on the UPGMA dendrogram. Most of the isolates were dispersed and a few clustered as small groups (Figure 2). The dendrogram shows that 6 groups (1–6) were generated based on the bootstrap value, and the majority of isolates (32 in 58) appeared as unrelated singletons (Figure 2). Group 1 had 4 DSTs, group 2 had 6, group 3 had 4, group 4 had 3, group 5 had 3, and group 6 had 6. Except for BZR 103, BZR 38, BZR 67, BZR 84, BZR 90, BZR 36, BZR 41, BZR 31, and BZR 78, all isolates from the same patient but from different specimens or different isolation times displayed different MLST types. No obvious relationship was found between DST and source specimens or medical department. In group 1, five strains had the same genotype, DST 279; three were isolated from different medical departments and two were from the ICU. Strains BZR 36 and BZR 41 from different departments had the same DST, DST 278, and they were classified into group 2. DST 277, composed of BZR 31 and BZR 78, were from the distinct source specimens of two medical departments. No relationship was observed between the individual isolates and anti-fungal resistance. Up to six clonal clusters were generated in eBURST, which corresponded to the six UPGMA clusters except for group 4. The rest of the isolates were dispersed as singletons, similar to the UPGMA dendrogram. The two eBURST clonal clusters (DSTs 278, 296, 273, 301, and 313; DSTs 272, 286, 319, 312, 295, and 292) had the predicted founding types 301 and 319 and are related to UPGMA groups 2 and 6, respectively. The remaining eBURST clonal clusters had no predicted founding type. All but one of the isolates in the group 1 was in the eBURST clonal cluster (DSTs 285, 315, 308, 279 and 303), which is also related to group 1. The other two UPGMA clusters, groups 3 and 5, were also correlated with eBURST data. No genotypes were correlated with specimen type, hospital origin, and fluconazole resistance.
Figure 2. UPGMA dendrogram indicating similarities 58 C. tropicalis isolates determined by MLST of six gene loci.
Groups were defined by a sequence similarity of >80%.doi:10.1371/journal.pone.0047767.g002
Comparison of 52 DSTs to 268 DSTs in C. tropicalis database
The 52 DSTs were compared to all 268 DSTs that represent the international strains in the MLST website through a minimum spanning tree (MST) using BioNumerics software. In the MST dendrogram, more than half of the 52 DST types (30) assembled as a clonal cluster (Figure 3). Five relatively large clonal clusters were generated from the isolates from Mainland China, in which three complexes (I, II, and IV) were clustered with the isolates from Mainland China except for the isolate (DST 177) from Taiwan, which was included in complex IV (Figure 3). In the other two cluster complexes (III and V), isolates from China Mainland were primarily co- clustered with isolates from Taiwan, Europe or USA (Figure 3). The remaining isolates from Mainland China were dispersed as singletons (Figure 3). In clonal complex III, five DSTs in the present study (276, 277, 359, and 305) clustered with strains from Taiwan, three from Europe, and one from Brazil. Four DSTs (291, 275, 317, and 311) clustered with six from Belgium, five from Brazil, and three from USA to form cluster complex V. In a previous study, Tavanti et al. found six flucytosine-resistant C. tropicalis isolates, two of which were scattered as singleton and the rest formed two clusters in the MST dendrogram (Figure 3) . No DST type from the isolates from Mainland China clustered with the flucytosine-resistant isolates, which indicates that those isolates were susceptible to antifungal agents in the vitro test. For the fluconazole-resistant isolates from Taiwan reported by Chou et al. in 2007 , a major cluster with DST 140 formed the core type in the MST dendrogram (Figure 3). Two DST types (DSTs 269 and 297) susceptible to fluconazole in vitro test -clustered with the clonal cluster from Taiwan (Figure 3). The isolates from Mainland China, Taiwan, Belgium, Brazil, the US, and India generated relatively independent clonal clusters (Figure 3), which indicates the geographic evolution of C. tropicalis. In the cluster with DST 140 as the main type, only DST 269 and 297 were included (Figure 3), whereas the cluster complex composed of isolates from Belgium and Brazil included few of the isolates from Mainland China (Fig. 3). In cluster complex III, the isolates from Mainland China with DST types 276, 277, and 309 clustered with isolates from Taiwan (DSTs 138, 139, 171, and 184), Belgium (DSTs 114 and 128), and Brazil (DST 91). Meanwhile, in complex V, DSTs 291, 275, 317, and 311 from the isolates from Mainland China clustered with isolates from Belgium (DSTs 50, 12, 111, 110, 119, and 78), Brazil (DSTs 80, 249, 256, and 266), and USA (DST 1, 12, and 80). This may indicate that C. tropicalis strains with these DST types may be closely related, and are relatively conserved and differentiated regardless of geographic location.
Figure 3. Minimum spanning tree of the 58 C. tropicalis isolates (52 DSTs) and the 401 isolates (268 DSTs) in the central database.
ICU, Intensive Care Unit; EICU, Enhanced Intensive Care Unit; Dept, Department.doi:10.1371/journal.pone.0047767.g003
C. tropicalis is considered as the leading cause of nosocomial fungemia and hepatosplenic fungal infections in patients with hematologic malignancies , . In this study, most C. tropicalis strains were isolated from sputum (33) and urine (10) specimens. Although the positive sputum specimens were identified using three-time continual culture, classifying the isolation of Candida species from the upper respiratory tract as colonization or infection is still debated . Isolation of C. tropicalis from urine and blood, which are ideally abacterial body fluids, is strong evidence of candidemia and candiduria. Only one blood infection was identified in the present study, much lower than that in a similar study , , , which suggests that the candidemia caused by C. tropicalis may vary among independent hospitals.
The six gene fragments chosen yielded more than one genotype per polymorphic locus (Table 2). The number of polymorphic sites in the present study is relatively lower than that in a previous study , , . However, the number of one genotypes per polymorphic locus is still much higher than that previously reported (Table 2) , , , which may indicate the high diversity of C. tropicalis strains in Mainland China. XYR1 showed the highest typing efficiency in the present study and in the study by Tavanti et al. in the UK . The number of genotypes per polymorphic locus in the present study is three times higher than that in the study by Tavanti. However, Tavanti reported considerably fewer polymorphic sites than in the present study. This discrepancy may due to the difference in the number of C. tropicalis isolates or it may indicate the stronger discriminating power of XYR1 gene among the C. tropicalis strains from Mainland China. This result may also be because some of the isolates analyzed before were from the same patients unlike the 58 isolates in the current study, which were from different patients. SAPT4 was the least efficient fragment in terms of the number of genotypes per polymorphic locus in the present study and that conducted by Chou et al. , which indicates that the discriminatory power of the six gene fragments may vary according to country of location and the number of isolates.
A total of 52 DSTs and 70 genotypes were found (Table 1). All 52 DSTs were novel to the C. tropicalis MLST central database. Isolates with the same DST (BZR 103, BZR 38, BZR 67, BZR 84, and BZR 90; BZR 36 and BZR 41; BZR 31 and BZR 78) were from the same specimen sources and hospital departments (Figure 2). In this study, the 58 isolates that included 8 cluster complexes (30 strains), distributed in 8/32 of the global MST clusters (Figure 3). The remaining 28 isolates were distributed independently in the MST global tree. In the MST tree, most of the isolates from Mainland China, Taiwan, Belgium, Brazil, and USA formed independent clusters, which indicates that C. tropicalis may evolve according to different locations. DST 277, 278 and 279 shared over 3 strains were relative the dominating genotype formed in Mainland China. While in Taiwan, several major genotypes were generated, such as DST90 (shared by Brazil and Colombia strains), DST 98 (shared by Taiwan and Colombia), DST134, DST 140 (a main genotype of a clonal cluster showing resistance or trailing growth of fluconazole), DST 149 and DST 164 . In rest countries, only a few genotypes were produced in UK (DST 92, 31 and 13 shared Belgium and Greece) and in Indian (DST 214). Weather those genotypes (DST 80, 12, 45, 23 and 27 et al.) shared by more than two countries suggests more widespread ability and potential epidemic need further study. No genotypes produced in Mainland China was shared by other counties, which may give a cue that the epidemiology of C. tropicalis in China is relatively independent from other area. More collection of strains and molecular typing data are needed for better understanding the epidemic character of C. tropicalis in China, and finding potential outbreak genotypes in future. Similar to C. albicans, C. tropicalis strains from one patient are generally highly similar whereas those from different patients differ considerably , . In this study, genotype of each C. tropicalis isolate was patient-specific and unrelated to type specimen of the isolate, the hospital department, or the fluconazole resistance pattern. For C. albicans, no significant association has been observed between the MLST type of each isolate and fluconazole resistance . However, in 2007, Chou et al. reported that the DNA types of C. tropicalis are related to fluconazole resistance . Furthermore, two independent study groups, one in the UK and one from France, found flucytosine-resistant clonal complexes in 2005 and in 2008, respectively , . The C. tropicalis from Mainland China in the current study were all susceptible to fluconazole and flucytosine (data not shown), which indicates that the antifungal resistance may develop geographically. It could be inferred that the population structure of C. tropicalis from Mainland China is similar with it from other countries (no obvious clonal cluster generated correlated with specimen source, patients age or hospital origin), except for fluconazole/flucytosine resistance.
We have added the information on C. tropicalis to the growing list in the MLST central database and our study may be useful for further studies on the similarity, genetic relationship, and molecular epidemiology of C. tropicalis worldwide. The expansion of the C. tropicalis MLST database (http://pubmlst.org/ctropicalis/) will reveal the relationship of the population structure of C. tropicalis strains with the clinically relevant properties of clades and geographic locations. And further study of the population structure will benefit the epidemiological survey of C. tropicali in China. Our data could be compared with MLST data from outbreak strains in epidemic hospitals in China, which is helpful for tracking the origin of the outbreak.
Conceived and designed the experiments: JXL YC. Performed the experiments: YW WGL RQC. Analyzed the data: YW HJZ ZGC. Contributed reagents/materials/analysis tools: JW LQL XC. Wrote the paper: YW. Participated in discussion of the study: HJZ.
- 1. St-Germain G, Laverdiere M, Pelletier R, Rene P, Bourgault AM, et al. (2008) Epidemiology and antifungal susceptibility of bloodstream Candida isolates in Quebec: Report on 453 cases between 2003 and 2005. Can J Infect Dis Med Microbiol 19: 55–62.
- 2. Shimizu K, Hattori H, Adachi H, Oshima R, Horii T, et al. (2011) Microsatellite-based genotyping of Candida albicans isolated from patients with superficial candidiasis. Med Mycol J 52: 129–138. doi: 10.3314/jjmm.52.129
- 3. Jung SI, Shin JH, Song JH, Peck KR, Lee K, et al. (2010) Multicenter surveillance of species distribution and antifungal susceptibilities of Candida bloodstream isolates in South Korea. Med Mycol 48: 669–674. doi: 10.3109/13693780903410386
- 4. Jayatilake JA (2011) A review of the ultrastructural features of superficial candidiasis. Mycopathologia 171: 235–250. doi: 10.1007/s11046-010-9373-7
- 5. Hajjeh RA, Sofair AN, Harrison LH, Lyon GM, Arthington-Skaggs BA, et al. (2004) Incidence of bloodstream infections due to Candida species and in vitro susceptibilities of isolates collected from 1998 to 2000 in a population-based active surveillance program. J Clin Microbiol 42: 1519–1527. doi: 10.1128/JCM.42.4.1519-1527.2004
- 6. Fridkin SK, Kaufman D, Edwards JR, Shetty S, Horan T (2006) Changing incidence of Candida bloodstream infections among NICU patients in the United States: 1995–2004. Pediatrics 117: 1680–1687. doi: 10.1542/peds.2005-1996
- 7. Wisplinghoff H, Bischoff T, Tallent SM, Seifert H, Wenzel RP, et al. (2004) Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study. Clin Infect Dis 39: 309–317. doi: 10.1086/421946
- 8. Pfaller MA, Jones RN, Doern GV, Sader HS, Hollis RJ, et al. (1998) International surveillance of bloodstream infections due to Candida species: frequency of occurrence and antifungal susceptibilities of isolates collected in 1997 in the United States, Canada, and South America for the SENTRY Program. The SENTRY Participant Group. J Clin Microbiol 36: 1886–1889. doi: 10.1128/jcm.39.9.3254-3259.2001
- 9. Bassetti M, Taramasso L, Nicco E, Molinari MP, Mussap M, et al. (2011) Epidemiology, species distribution, antifungal susceptibility and outcome of nosocomial candidemia in a tertiary care hospital in Italy. PLoS One 6: e24198. doi: 10.1371/journal.pone.0024198
- 10. Chalmers C, Gaur S, Chew J, Wright T, Kumar A, et al. (2011) Epidemiology and management of candidaemia–a retrospective, multicentre study in five hospitals in the UK. Mycoses 54: e795–800. doi: 10.1111/j.1439-0507.2011.02027.x
- 11. Doczi I, Peto Z, Fodor E, Bereczki L, Nagy E, et al. (2012) Evaluation of fungaemia infections in a Hungarian university hospital between 1996 and 2009. Acta Microbiol Immunol Hung 59: 29–41. doi: 10.1556/AMicr.59.2012.1.4
- 12. Bedini A, Venturelli C, Mussini C, Guaraldi G, Codeluppi M, et al. (2006) Epidemiology of candidaemia and antifungal susceptibility patterns in an Italian tertiary-care hospital. Clin Microbiol Infect 12: 75–80. doi: 10.1111/j.1469-0691.2005.01310.x
- 13. Chen CY, Chen YC, Tang JL, Yao M, Huang SY, et al. (2003) Hepatosplenic fungal infection in patients with acute leukemia in Taiwan: incidence, treatment, and prognosis. Ann Hematol 82: 93–97. doi: 10.1007/s00277-002-0588-7
- 14. Lai HP, Chen YC, Chang LY, Lu CY, Lee CY, et al. (2005) Invasive fungal infection in children with persistent febrile neutropenia. J Formos Med Assoc 104: 174–179.
- 15. Colombo AL, Nucci M, Park BJ, Nouer SA, Arthington-Skaggs B, et al. (2006) Epidemiology of candidemia in Brazil: a nationwide sentinel surveillance of candidemia in eleven medical centers. J Clin Microbiol 44: 2816–2823. doi: 10.1128/JCM.00773-06
- 16. Pfaller MA, Segreti J (2006) Overview of the epidemiological profile and laboratory detection of extended-spectrum beta-lactamases. Clin Infect Dis 42Suppl 4: S153–163. doi: 10.1086/500662
- 17. Falagas ME, Roussos N, Vardakas KZ (2010) Relative frequency of albicans and the various non-albicans Candida spp among candidemia isolates from inpatients in various parts of the world: a systematic review. Int J Infect Dis 14: e954–966. doi: 10.1016/j.ijid.2010.04.006
- 18. Lewis RE (2009) Overview of the changing epidemiology of candidemia. Curr Med Res Opin 25: 1732–1740. doi: 10.1185/03007990902990817
- 19. Fitzpatrick DA, Logue ME, Stajich JE, Butler G (2006) A fungal phylogeny based on 42 complete genomes derived from supertree and combined gene analysis. BMC Evol Biol 6: 99. doi: 10.1186/1471-2148-6-99
- 20. Odds FC, Jacobsen MD (2008) Multilocus sequence typing of pathogenic Candida species. Eukaryot Cell 7: 1075–1084. doi: 10.1128/EC.00062-08
- 21. Butler G, Rasmussen MD, Lin MF, Santos MA, Sakthikumar S, et al. (2009) Evolution of pathogenicity and sexual reproduction in eight Candida genomes. Nature 459: 657–662. doi: 10.1038/nature08064
- 22. Chou HH, Lo HJ, Chen KW, Liao MH, Li SY (2007) Multilocus sequence typing of Candida tropicalis shows clonal cluster enriched in isolates with resistance or trailing growth of fluconazole. Diagn Microbiol Infect Dis 58: 427–433. doi: 10.1016/j.diagmicrobio.2007.03.014
- 23. Lin CY, Chen YC, Lo HJ, Chen KW, Li SY (2007) Assessment of Candida glabrata strain relatedness by pulsed-field gel electrophoresis and multilocus sequence typing. J Clin Microbiol 45: 2452–2459. doi: 10.1128/JCM.00699-07
- 24. Tavanti A, Davidson AD, Johnson EM, Maiden MC, Shaw DJ, et al. (2005) Multilocus sequence typing for differentiation of strains of Candida tropicalis. J Clin Microbiol 43: 5593–5600. doi: 10.1128/JCM.43.11.5593-5600.2005
- 25. Desnos-Ollivier M, Bretagne S, Bernede C, Robert V, Raoux D, et al. (2008) Clonal population of flucytosine-resistant Candida tropicalis from blood cultures, Paris, France. Emerg Infect Dis 14: 557–565. doi: 10.3201/eid1404.071083
- 26. Chan MS, Maiden MC, Spratt BG (2001) Database-driven multi locus sequence typing (MLST) of bacterial pathogens. Bioinformatics 17: 1077–1083. doi: 10.1093/bioinformatics/17.11.1077
- 27. Urwin R, Maiden MC (2003) Multi-locus sequence typing: a tool for global epidemiology. Trends Microbiol 11: 479–487. doi: 10.1016/j.tim.2003.08.006
- 28. Bougnoux ME, Morand S, d'Enfert C (2002) Usefulness of multilocus sequence typing for characterization of clinical isolates of Candida albicans. J Clin Microbiol 40: 1290–1297. doi: 10.1128/JCM.40.4.1290-1297.2002
- 29. Tavanti A, Gow NA, Senesi S, Maiden MC, Odds FC (2003) Optimization and validation of multilocus sequence typing for Candida albicans. J Clin Microbiol 41: 3765–3776. doi: 10.1128/JCM.41.8.3765-3776.2003
- 30. Dodgson AR, Pujol C, Denning DW, Soll DR, Fox AJ (2003) Multilocus sequence typing of Candida glabrata reveals geographically enriched clades. J Clin Microbiol 41: 5709–5717. doi: 10.1128/JCM.41.12.5709-5717.2003
- 31. White T, Bruns T, Lee S, Taylor J (1990) Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR Protocols: A Guide to Methods and Applications. San Diego, California: Academic Press: 315–322.
- 32. Chen KW, Chen YC, Lo HJ, Odds FC, Wang TH, et al. (2006) Multilocus sequence typing for analyses of clonality of Candida albicans strains in Taiwan. J Clin Microbiol 44: 2172–2178. doi: 10.1128/JCM.00320-06
- 33. Jacobsen MD, Davidson AD, Li SY, Shaw DJ, Gow NA, et al. (2008) Molecular phylogenetic analysis of Candida tropicalis isolates by multi-locus sequence typing. Fungal Genet Biol 45: 1040–1042. doi: 10.1016/j.fgb.2008.03.011
- 34. Hunter PR (1990) Reproducibility and indices of discriminatory power of microbial typing methods. J Clin Microbiol 28: 1903–1905.
- 35. Issa SY, Badran EF, Aqel KF, Shehabi AA (2011) Epidemiological characteristics of Candida species colonizing oral and rectal sites of Jordanian infants. BMC Pediatr 11: 79. doi: 10.1186/1471-2431-11-79
- 36. Chen KW, Chen YC, Lin YH, Chou HH, Li SY (2009) The molecular epidemiology of serial Candida tropicalis isolates from ICU patients as revealed by multilocus sequence typing and pulsed-field gel electrophoresis. Infect Genet Evol 9: 912–920. doi: 10.1016/j.meegid.2009.06.011