- Record: found
- Abstract: found
- Article: not found
Climate Classification System–Based Determination of Temperate Climate Detection of Cryptococcus gattii sensu lato
brief-report
Publication date (Print):
September 2019
Journal:
Emerging Infectious Diseases
Publisher:
Centers for Disease Control and Prevention
Read this article at
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
We compared 2 climate classification systems describing georeferenced environmental Cryptococcus gattii sensu lato isolations occurring during 1989–2016. Each system suggests the fungus was isolated in temperate climates before the 1999 outbreak on Vancouver Island, British Columbia, Canada. However, the Köppen-Geiger system is more precise and should be used to define climates where pathogens are detected.
Related collections
Most cited references11
- Record: found
- Abstract: not found
- Article: not found
Multispecies outbreak of cryptococcosis on southern Vancouver Island, British Columbia.
Stephen Raverty, Trina Fyfe, Malisa S Lester … (2002)
- Record: found
- Abstract: found
- Article: found
Autochthonous and Dormant Cryptococcus gattii Infections in Europe
Ferry Hagen, M. Francisca Colom, Daniëlle Swinne … (2012)
During the past decade, the basidiomycetous yeast Cryptococcus gattii has stepped out of the shadows of its sibling C. neoformans. The latter species mainly infects immunocompromised persons, and C. gattii mainly infects apparently immunocompetent persons. C. neoformans is found globally, and C. gattii has been mostly limited to tropical and subtropical areas in Central Africa, northern Australia, and Central and South America ( 1 ). However, this distribution pattern changed after an unprecedented outbreak of C. gattii emerged in the temperate climate of British Columbia, Canada, and expanded to the Pacific Northwest region of Canada and the United States ( 1 , 2 ). Epidemiologic studies have shown that C. gattii occurs in areas other than tropical or subtropical zones, such as in Mediterranean Europe, northern Europe, and western Australia ( 3 – 5 ). For the purpose of studying the epidemiology of C. gattii, a broad variety of molecular biological techniques have been developed, including PCR fingerprinting, restriction fragment length polymorphism analysis of the PLB1 and URA5 loci, amplified fragment length polymorphism (AFLP) fingerprint analysis, and several multilocus sequence typing (MLST) approaches ( 6 – 9 ). These laboratory investigations have shown that C. gattii can be divided into 5 distinct genotypes: AFLP4/VGI, AFLP5/VGIII, AFLP6/VGII, AFLP7/VGIV, and AFLP10/VGIV ( 8 , 9 ). Serotype B strains occur in genotypes AFLP4/VGI, AFLP6/VGII, and AFLP10/VGIV; serotype C strains are restricted to genotypes AFLP5/VGIII and AFLP7/VGIV ( 8 ). Recently, a consensus MLST scheme was proposed for epidemiologic investigations of C. gattii and C. neoformans, specifically, the nuclear loci CAP59, GPD1, IGS1, LAC1, PLB1, SOD1, and URA5 ( 9 ). So far, this consensus MLST scheme has been used to study the population structure of C. neoformans strains from Thailand and C. gattii strains from Australia ( 3 , 10 ). We investigated the occurrence of C. gattii in Europe, focusing on whether this pathogen is emerging and, if so, how to explain this emergence pattern. Furthermore, we explored whether the infections originated from Europe or were introduced from other continents. To achieve these goals, members of the European Confederation of Medical Mycology were asked to send recently obtained human patient isolates of the species for detailed AFLP and MLST analyses. Thus, the genetic diversity of the yeast was used to trace its geographic origin to identify where the infections were acquired. AFLP genotyping results were combined with published C. gattii MLST results from Byrnes et al. ( 11 ) and Fraser et al. ( 12 ), which were extended to match the Cryptococcus consensus MLST scheme ( 9 ). Our study produced the following 5 conclusions: all hitherto known genotypes of C. gattii are emerging in Europe; genotype AFLP4/VGI isolates predominate; a C. gattii cluster, which is endemic to Mediterranean Europe and genetically distinct from the other populations, exists; several human infections are caused by travel-related acquisition of C. gattii outside Europe; and autochthonous cases occur in Europe. Materials and Methods Strains and Media We compared a collection of 107 isolates collected from Europe with 194 isolates collected globally (Table 1; Technical Appendix Table 1). All isolates were checked for purity and cultivated on malt extract agar medium (Oxoid, Basingstoke, UK). Cultures were incubated for 2 days at 30°C. A working collection was made by growing C. gattii strains on malt extract agar slants for 2 days at 30°C, after which the strains were stored at 4°C. Strains were stored long term at −80°C by using the Microbank system (Pro-Lab Diagnostics, Richmond Hill, Ontario, Canada). Table Distribution of Cryptococcus gattii strains* Source of isolation Genotype Total† Total (%) AFLP4/VGI AFLP5/VGIII AFLP6/VGII AFLP7/VGIV AFLP10/VGIV All C. gattii isolates 146 22 108 13 2 0 291 (100) Human 84 16 68 12 2 0 182 (62.5)‡ Environment 37 5 17 0 0 0 59 (20.3)‡ Animal 24 0 23 1 0 0 48 (16.5)‡ Unknown 1 1 0 0 0 0 2 (0.7)‡ Africa Human 18 0 3 8 0 29 36 (12.7)§ Environment 6 0 0 0 0 6 Animal 0 0 0 1 0 1 Asia (clinical) 19 0 5 2 0 26 26 (8.9)§ Australia Human 2 1 8 0 0 11 18 (6.2)§ Environment 5 0 1 0 0 6 Animal 0 0 1 0 0 1 Europe¶ Human 29# 1** 23†† 2‡‡ 2§§ 57 100 (34.4)§ Environment 22 0 0 0 0 22 Animal 21 0 0 0 0 21 North America¶ Human 3 8 19 0 0 30 69 (23.7)§ Environment 4 3 10 0 0 17 Animal 2 0 20 0 0 22 South America¶ Human 12 3 10 0 0 25 36 (12.4)§ Environment 0 2 6 0 0 8 Animal 1 0 2 0 0 3 Unknown Human 1 3 0 0 0 4 6 (2.1)§ Unknown 1 1 0 0 0 2 *The number of C. gattii isolates is provided for each geographic area and further subdivided per genotype and source of isolation. AFLP, amplified fragment length polymorphism; human, human clinical patient.
†Total number of isolates per geographic area.
‡The percentage of isolates is given for the source of isolation subset.
§The percentage of isolates is given as a percentage of all isolates.
¶Ten interspecies hybrid C. gattii × C. neoformans isolates were excluded from the set of isolates from Europe (n = 7), North America (n = 1), and South America (n = 2).
#Twelve patients with an autochthonous acquired infection (16 isolates) and 11 patients with an infection acquired outside Europe (13 isolates).
**Infection acquired outside Europe.
††Four patients with an autochthonous infection (10 isolates) and 10 patients with an infection acquired outside Europe (13 isolates).
‡‡Two phenotypically different isolates from an emigrant from Zambia.
§§Two phenotypically different isolates from an emigrant from Mexico. Amplification and Sequencing of MLST Loci Genomic DNA extraction, AFLP genotyping, and mating-type determination by amplification of either the STE12 a or STE12α locus were performed as described ( 8 ). The 7 nuclear consensus MLST loci (CAP59, GPD1, IGS1, LAC1, PLB1, SOD1, and URA5) were amplified by using the preferred primer combinations ( 9 ). To compare the current set of C. gattii strains with those from a published C. gattii population biology study, we included the 3 nuclear loci that are not part of the consensus MLST scheme (CAP10, MPD1, and TEF1α) ( 12 ). We also included isolates from a global study by Byrnes et al. ( 11 ) and Fraser et al. ( 12 ) and subjected them to amplification and sequencing of the CAP59, SOD1, and URA5 loci. Amplifications were conducted in a 25-µL PCR mixture containing 37.5 mmol/L MgCl2 (Bioline, London, UK), 1× PCR buffer (Bioline), 1.9 mmol/L dNTPs (Bioline), 0.5 U Taq DNA polymerase (Bioline), 5 pmol of both primers (Biolegio, Nijmegen, the Netherlands) (Technical Appendix Table 2), and ≈100 ng of genomic DNA. PCRs were conducted with an initial denaturation step at 94°C for 5 min, followed by 35 cycles of denaturation at 94°C for 30s, annealing for 30s (see Technical Appendix Table 2 for optimal annealing temperatures), extension at 72°C for 1 min, followed by 72°C for 5 min and a final dwell at 21°C. Sequencing reactions were conducted with the BigDye version 3.1 chemistry kit (Applied Biosystems, Foster City, CA, USA) as described ( 13 ). For all amplification products except CAP59, the initial amplification primers were used for sequencing reactions. For CAP59, the newly designed forward primer CAP59L-Fwd and the original reverse primer JOHE15438 ( 12 ) were used. Sequence Alignment and Phylogenetic and Recombination Analyses Consensus sequences were assembled and checked for ambiguities by using SeqMan version 8.0.2 (DNASTAR, Madison, WI, USA). Sequence alignments were generated with MEGA version 5 ( 14 ) by using the standard settings and manual correction. The genome sequence databases of reference strains H99 (culture collection no. CBS8710; C. neoformans variety grubii; AFLP1/VNI; Broad Institute [www.broadinstitute.org/annotation/genome/cryptococcus_neoformans/]) and JEC21 (culture collection no. CBS10513; C. neoformans variety neoformans; AFLP2/VNIV; Stanford Genome Technology Center [www-sequence.stanford.edu/group/C.neoformans/]) were used to extract the corresponding sequences for all 10 investigated nuclear loci to serve as an outgroup. The best fitting nucleotide substitution model was determined by using MrModeltest version 2 ( 15 ) and was conducted for the complete C. gattii 10-loci MLST, for the accepted consensus MLST scheme (CAP59, GPD1, IGS1, LAC1, PLB1, SOD1, and URA5) ( 9 ), and a previously launched C. gattii MLST scheme (CAP10, GPD1, IGS1, LAC1, MPD1, PLB1, and TEF1) ( 12 ). As a result, the HKY G+I model (Hasegawa-Kishino-Yano plus gamma distributed with invariant sites) was the best model to use for analyzing the phylogeny of the C. gattii isolates for all 3 datasets. The evolutionary history was inferred by using the maximum-likelihood method in MEGA version 5 ( 14 ). A bootstrap consensus tree was inferred from 1,000 replicates to show the relevant lineages obtained in this analysis. We calculated the haplotype diversity (HR ), equal to the Simpson diversity index (D), by using the Microsoft Excel (Microsoft, Redmond, WA, USA) add-in called Haplotype Analysis ( 16 ). For this purpose, sequences were collapsed into sequence type numbers (Technical Appendix Table 1). Results AFLP Genotypes and Geographic Distribution The 301 C. gattii isolates collected from Europe and other areas around the world could be divided into the following genotypes: 146 AFLP4/VGI (50.2%; 72 from Europe), 22 AFLP5/VGIII (7.6%; 1 from Europe), 108 AFLP6/VGII (37.1%; 23 from Europe), 13 AFLP7/VGIV (4.5%; 2 from Europe), and 2 AFLP10/VGIV (0.7%; both from Europe). From 10 isolates (7 AFLP8 [5 from Europe] and 3 AFLP9 [2 from Europe]), genotypes represented interspecies C. neoformans × C. gattii hybrids. These 10 isolates were excluded from further analysis because amplified fragments of hybrid isolates will result in mixtures of different alleles. The 57 human patient isolates from Europe were obtained from 40 patients (Technical Appendix Table 1). The genotypic diversity of the remaining 291 C. gattii isolates (100 from Europe, 191 from other areas) with a haploid genotype is shown in the Table. Phylogeographic Origin Sequence type diversity was calculated for each of the MLST loci, all 10 loci, and the combined datasets according to Fraser et al. ( 12 ) and Meyer et al. ( 9 ) (Technical Appendix Table 3). The CAP10 locus showed the lowest overall diversity (nST = 19; D ST = 0.765) and the IGS1 locus showed the highest diversity (nST = 52; D ST = 0.930). The 10-loci MLST dataset showed the highest diversity (nST = 150; D ST = 0.975), followed by the MLST scheme of Meyer et al. (D ST = 0.971) ( 9 ) and Fraser et al. (D ST of 0.959) ( 12 ). The latter MLST scheme differentiated more sequence types than the consensus MLST scheme (nST = 136 vs. 127). Maximum-likelihood analysis of the MLST data showed that the C. gattii isolates clustered in 5 monophyletic clusters, which were highly supported and agreed with the AFLP genotypes (Figure, Technical Appendix Figure). When each genotypic cluster was separately analyzed, support values of the branches were low, <75 (Technical Appendix Figure). For genotype AFLP4/VGI isolates, bootstrap support values for nearly all branches were low; for the second largest group formed by AFLP6/VGII isolates, branches were better supported. Figure Maximum-likelihood phylogenetic analysis based on 10-loci multilocus sequence type data of Cryptococcus gattii isolates (condensed). Phylogenetic relatedness of 150 STs representing the 291 C. gattii isolates, calculated by using the maximum-likelihood algorithm and rooted by using the 2 C. neoformans reference strains CBS8710 (genotype AFLP1/VNI) and CBS10513 (genotype AFLP2/VNIV). Closely related sequence types were collapsed into 1 branch shown by multiple sequence type numbers. Boldface indicates sequence types that are within a shaded area belong to a specified C. gattii cluster; B, M, PNW, and VIO represent clusters from Brazil; Mediterranean Europe; the US Pacific Northwest outbreak; and the Vancouver Island, British Columbia, Canada, outbreak, respectively. AFLP, amplified fragment length polymorphism; ST, sequence type. Scale bar indicates number of substitutions per site. See Technical Appendix Figure for a detailed phylogenetic analysis. Phylogenetic analysis demonstrated that several human patient genotype AFLP4/VGI isolates from Europe had an autochthonous origin because they formed a separate cluster with environmental and animal isolates from the same area. A set of isolates from human patients on the Iberian Peninsula (CCA232, CCA242L, CCA242T, CCA311, CCA312, CL6148) were found to be genetically indistinguishable from isolates obtained from animals or the environment in the same area (indicated in Technical Appendix Figure as the European Mediterranean cluster). The human patient isolates from Europe with genotype AFLP4/VGI, which were probably acquired within Europe because patients did not have histories of travel outside Europe, are IP2005/215 and IP2006/958 (France), RKI85/888 (Germany), 5UM and 75UM (Italy), RKI97/482 (Portugal), and CBS2502 (the Netherlands). Some of these human patient isolates were closely related (e.g., IP2005/215 and RKI97/482) or even genetically indistinguishable (e.g., CBS2502 and RKI85/888). A large proportion of the human patient and environmental isolates of C. gattii AFLP4/VGI from Italy and Spain formed a novel autochthonous Mediterranean MLST cluster that was genetically homogeneous, irrespective of their origin or mating type (Figure, Technical Appendix Figure). C. gattii AFLP4/VGI was involved with numerous small outbreaks among goats in Spain, and the isolates were genetically indistinguishable from recently obtained human patient, animal, and environmental isolates from different provinces in Spain as well as from AFLP4/VGI mating-type a isolates from Italy (Technical Appendix Figure). Several C. gattii genotype AFLP6/VGII infections were found to have originated in Europe (e.g., the IP1998/1037–1 and −2, IP2003/125, and CCA242 isolates), and all fell within a cluster that could not be linked to an environmental source. The same holds true for the human patient isolates from Greece (AV54S, –W, and IUM01–4731), which came from the same patient who had no history of travel outside Greece. In the phylogenetic analysis, isolates from human patients in Europe were also observed next to those originating from other geographic areas. The most striking example was a set of 4 human patient isolates from citizens of Denmark, the Netherlands, Germany, and Switzerland, in whom cryptococcosis developed after they had visited Vancouver Island, British Columbia, Canada. The isolates obtained from these tourists (CBS10485, RKI06/496, RKI01/774, and CBS10866, respectively) had MLST profiles identical to that of C. gattii AFLP6A/VGIIa, the genotype that caused the Vancouver Island outbreak (Figure, Technical Appendix Figure) ( 17 – 19 ). The outbreak-related sets of AFLP6A/VGIIa and AFLP6C/VGIIc isolates from the Vancouver Island and Pacific Northwest outbreaks, respectively, are within outbreak-specific clusters (Figure, Technical Appendix Figure). A similar finding was observed for a set of 5 human patient C. gattii AFLP6B/VGIIb isolates (IP1996/1120–1 and −2, IP1999/901–1 and −2, and IP2000/87) in France, which had been obtained from patients who had emigrated from Africa to France and which were genetically indistinguishable from an isolate (IP2001/935–1) from a resident of Senegal (Technical Appendix Figure). This set of 5 isolates from France and 1 from Senegal were closely related to isolates from the Vancouver Island and Pacific Northwest outbreaks; however, it seems unlikely that the patient from Senegal had traveled to these outbreak areas, and none of the patients in France reported having traveled to Canada or the United States. A set of C. gattii AFLP4/VGI mating-type α isolates from Portugal (IP1997/18) and Belgium (IHEM19725B and –S) was found to be indistinguishable from human patient isolates from the Democratic Republic of the Congo and Rwanda (B3939 and CBS6289, which were both mating-type a, and IHEM10602S, IHEM10769S, and IHEM10769W, which were mating-type α) (Figure, Technical Appendix Figure). Both phenotypically different isolates of IHEM19725 were obtained from an HIV-infected patient from Rwanda who had emigrated to Belgium. The CBS1622 isolate from Europe, obtained from a patient with the oldest documented case of a C. gattii infection ( 20 ), was found to be genetically indistinguishable from a set of isolates from North America. The single C. gattii AFLP5/VGIII isolate from a 24-year-old immunocompetent patient from Germany (isolate RKI97/310) ( 21 ) clustered with human patient and environmental isolates from Mexico (Technical Appendix Figure). The 2 C. gattii AFLP7/VGIV isolates CBS7952D and CBS7952S, obtained from an HIV-infected patient in Sweden, were genetically indistinguishable from each other and had a unique MLST profile that clustered with human patient isolates from Africa. According to the patient’s history, years before the onset of cryptococcal infection, she had emigrated from Zambia to Sweden (Technical Appendix Figure). Another example of a reactivated dormant C. gattii infection is that of the human patient isolate from Italy, IUM92–6682 (AFLP4/VGI), obtained from an immunocompetent immigrant from Brazil, which had an identical MLST profile to 6 human patient mating-type α isolates (IHEM14934, IHEM14956, IHEM14965, IHEM14968, IHEM14976, and IHEM14984) from Brazil (Figure, Technical Appendix Figure). Infection was acquired outside Europe for 24 of these patients (31 isolates) and within Europe for 16 patients (26 isolates) (Table, Technical Appendix Figure). Among these 57 human patient isolates, most (47 [82.5%]) were obtained since 1995, the remaining 10 (17.5%) were isolated during 1895–1994. One of these isolates originated from 1985, another 2 isolates (CBS1622 and CBS2502), from 1895 and 1957, were retrospectively found to represent C. gattii isolates from Europe ( 20 , 22 ). Discussion In Europe, C. gattii has been reported as a rare cause of apparently autochthonous cryptococcal infections ( 1 ). The earliest documented case that turned out to be caused by C. gattii in Europe was made by Curtis in 1896 ( 20 ). Until the 1980s, cryptococcosis was rarely observed in Europe and C. gattii infections were especially rare; only 2 cases have retrospectively been found ( 20 , 22 ). In the 1980s, infections were reported for 2 immunocompetent citizens of Germany, who had never traveled abroad ( 23 , 24 ). Subsequent case reports described C. gattii infections that were imported or acquired in Europe ( 25 , 26 ). Since 1995, the number of reports of C. gattii infections increased and describe C. gattii infections in humans and animals from Greece ( 27 ), Italy ( 28 , 29 ), and Spain ( 5 , 30 – 33 ). In the current study, 8 (20%) cases were observed until 1995, and 32 (80%) cases in humans have been observed since 1995. We excluded cases for which an isolate was not available for confirmation. This exclusion is especially relevant in that we re-identified a reported C. gattii infection as actually being caused by C. neoformans ( 34 ). These data suggest that during the past 2 decades, C. gattii has been emerging in Europe. In the current study, 16 (40%) of the human patient isolates from Europe were found to have an autochthonous origin in Europe that either could be linked to environmental isolates from the Mediterranean area or that came from patients who had never traveled outside their resident country. A total of 24 (60%) isolates could be linked to C. gattii–endemic regions in Brazil, the United States, Africa, and the Vancouver Island outbreak region. These observations demonstrate that C. gattii infections can be imported subclinically and can cause infections after being dormant for many years. Nearly all isolates from Mediterranean Europe belonged to genotype AFLP4/VGI, and MLST analysis showed that these isolates form a separate cluster within this genotype (Figure, Technical Appendix Figure) ( 5 ). C. gattii genotype AFLP4/VGI has also recently been reported from the environment in the Netherlands, but these isolates were not similar to any of the AFLP4/VGI isolates from Mediterranean Europe or to isolate CBS2502, which was isolated in 1957 from a pregnant citizen of the Netherlands, who had never traveled abroad but who died of cryptococcosis ( 4 ). Isolate CBS2502 is genotypically identical to isolate RKI85/888, which was isolated from a previously healthy citizen of Germany, who also had never traveled outside Germany. These 2 cases strongly suggest that different genotypes of C. gattii AFLP4/VGI occur in the environment of northwestern Europe because isolates from patients were genetically different from the recently reported isolates from the environment of the Netherlands (this study; 4 ). In conclusion, C. gattii is emerging in Europe, and the isolates from Europe can be divided into 5 genotypic clusters. Most C. gattii infections in Europe are probably autochthonous, and several infections are proven to have been acquired outside the European continent, e.g., during visits to C. gattii–endemic regions, such as the Vancouver Island outbreak area or before migration to Europe from C. gattii–endemic regions in Africa and South America. Reactivation of dormant C. gattii infections and of infections acquired outside Europe after immune suppression occurs more often than previously assumed. This finding might suggest that C. gattii infections caused by certain genotypes are associated with altered immune status of the human host. Thus, C. gattii is probably a more opportunistic pathogen, as has recently been hypothesized, than a strictly primary pathogen ( 18 , 35 ). C. gattii isolates with genotypes AFLP5/VGIII and AFLP7/VGIV were rarely found in Europe and were all acquired outside the European continent. However, these genotypes have frequently been isolated from HIV-infected persons and other immunocompromised patients in Africa and the American continents ( 1 , 7 , 36 ). A connection seems to exist between these C. gattii genotypes and the host’s immune status. Further epidemiologic and immunologic research is needed to unravel this apparent correlation. Technical Appendix Detailed maximum-likelihood phylogenetic analysis based on 10-loci multilocus sequence typing data of Cryptococcus gattii isolates, background information of Cryptococcus gattii isolates and GenBank accession numbers for the 10-loci multilocus sequence typing data, primers used for multilocus sequence typing, and sequence type diversity for each of the investigated loci and amplified fragment length polymorphism genotype clusters.
- Record: found
- Abstract: found
- Article: not found
Mapping the global distribution of trachoma.
Allen Foster, Hannah Kuper, Sarah Polack … (2005)
We aimed to summarize and map the existing global population-based data on active trachoma and trichiasis. Detailed distribution maps of various infectious diseases have proved a valuable tool in their control. Such maps play an important role in assessing the magnitude of the problem, defining priority areas for control, monitoring changes, and advocacy. Until now, information on trachoma prevalence at within country levels has not been systematically collated, analysed and reported. We gathered the last 18 years' worth of reported data on active trachoma in children aged less than 10 years, and the last 25 years of reported trichiasis in adults aged 15 years and over from 139 population-based surveys in 33 countries. We collated these data into one database using the "district" (second administrative level) as the standard unit of reporting. We used Geographical Information Systems as a database and cartographic tool to generate a global map of the prevalence of trachoma and trichiasis. We obtained data on active trachoma and trichiasis from 18 countries in the WHO African Region, 6 in the Eastern Mediterranean Region, 3 in the South-East Asia Region, 3 in the Western Pacific Region and 2 in the Region of the Americas. In 23 countries suspected of having endemic trachoma no reliable district-level population-based data were available. In China and India, data were limited to a few districts. The data highlighted important regional differences and marked national variations in prevalence of active trachoma and trichiasis. This is the first attempt to summarize and map the existing population-based data on active trachoma and trichiasis. The lack of data in many countries remains an important obstacle to trachoma control efforts.
Author and article information
Journal
Journal ID (nlm-ta): Emerg Infect Dis
Journal ID (iso-abbrev): Emerging Infect. Dis
Journal ID (publisher-id): EID
Title:
Emerging Infectious Diseases
Publisher:
Centers for Disease Control and Prevention
ISSN
(Print):
1080-6040
ISSN
(Electronic):
1080-6059
Publication date
(Print):
September
2019
Volume: 25
Issue: 9
Pages: 1723-1726
Affiliations
Author notes
Address for correspondence: Emily S. Acheson, University of British Columbia, Lab
for Advanced Spatial Analysis, Department of Geography, 1984 West Mall, Rm 210J, Vancouver,
British Columbia V6T 1Z2, Canada; email:
emily.acheson@
123456gmail.com
Article
Publisher ID: 18-1884DOI: 10.3201/eid2509.181884
PMC ID: 6711209
PubMed ID: 31441746
SO-VID: 5cb98e52-da07-434d-9878-f7084a5b457e
History
Categories
Subject:
Dispatch
Subject:
Dispatch
Subject:
Climate Classification System–Based Determination of Temperate Climate Emergence of
Cryptococcus gattii sensu lato
ScienceOpen disciplines: Infectious disease & Microbiology
Data availability:
ScienceOpen disciplines: Infectious disease & Microbiology