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PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2019 Apr 15;13(4):e0007309. doi: 10.1371/journal.pntd.0007309

Clinical features and genetic background of the sympatric species Paracoccidioides brasiliensis and Paracoccidioides americana

Priscila Marques de Macedo 1,*,#, Marcus de Melo Teixeira 2,3,#, Bridget M Barker 3, Rosely Maria Zancopé-Oliveira 4, Rodrigo Almeida-Paes 4, Antonio Carlos Francesconi do Valle 1
Editor: Abdallah M Samy5
PMCID: PMC6483274  PMID: 30986220

Abstract

Introduction

The agents of paracoccidioidomycosis, historically identified as Paracoccidioides brasiliensis, are in fact different phylogenetic species. This study aims to evaluate associations between Paracoccidioides phylogenetic species and corresponding clinical data.

Methods

Paracoccidioides strains from INI/Fiocruz patients (1998–2016) were recovered. Socio-demographic, epidemiological, clinical, serological, therapeutic and prognostic data of the patients were collected to evaluate possible associations of these variables with the fungal species identified through partial sequencing of the ADP-ribosylation factor (arf) and the 43-kDa-glycoprotein (gp43) genes.

Results

Fifty-four fungal strains were recovered from 47 patients, most (72.3%) infected in Rio de Janeiro state, Brazil. Forty-one cases were caused by Paracoccidioides brasiliensis and six by Paracoccidioides americana (former PS2). P. brasiliensis was responsible for severe lymph abdominal forms, whereas patients infected with P. americana presented a high rate of adrenal involvement. However, no statistically significant associations were found for all variables studied. P. americana presented 100% reactivity to immunodiffusion, even when tested against antigens from other species, while negative results were observed in 9 (20%) cases caused by P. brasiliensis, despite being tested against a homologous antigen.

Conclusions

P. brasiliensis and P. americana are sympatric and share similar clinical features and habitat, where they may compete for similar hosts.

Author summary

Paracoccidioidomycosis (PCM) is a severe systemic mycosis caused by different phylogenetic species. According to previous studies, these species could have an impact in PCM clinical features. This study aims to investigate possible associations between Paracoccidioides species and corresponding clinical data. The fungal strains from the patients were recovered, whereas their clinical data were collected to evaluate possible associations of these variables with the fungal species identified through DNA sequencing. Fifty-four fungal strains were recovered from 47 patients, most infected in Rio de Janeiro state, Brazil. Forty-one cases were caused by Paracoccidioides brasiliensis and six by Paracoccidioides americana. P. brasiliensis was responsible for severe clinical forms, and patients infected with P. americana presented a high rate of adrenal involvement. However, no statistically significant associations were found for all variables studied. P. brasiliensis and P. americana share similar clinical features.

Introduction

Paracoccidioidomycosis (PCM) is a mycotic disease with a large spectrum of clinical presentations that affects both immunocompetent and immunocompromised patients from different biomes of Latin America [1]. The infection primarily affects the lungs and is acquired by the inhalation of Paracoccidioides sp. conidia or mycelial fragments that becomes aerosolized after the soil perturbation [2, 3]. Once inside the host, the fungus differentiates into pathogenic multi-budding yeast-like cells and this dimorphic process may lead to pathogenesis [4]. Incidence in endemic areas is associated with deforestation, armadillo hunting, and agriculture practices [1]. Massive soil removal during construction was recently suggested as another risk factor for the acquisition of PCM when a localized epidemic was recently reported among people living near highway construction [5]. Natural infections in a wide variety of animals have been reported in the literature, but recurrent isolation of the fungus from armadillos (Xenarthra superorder.) has led many authors to suggest that these mammals play an important role in the fungal life cycle and dispersion [6].

The infection can be controlled and/or cleared by the innate immune system after inhalation, and is thought to be the main reason why the majority of infections are asymptomatic [7]. However, it may progress to an acute/sub-acute disseminated pathology that may affect lymph nodes, liver, spleen, gut, bones joints, and meninges or to a chronic pulmonary disease [7]. The acute/sub-acute form may have several complications and sequelae such as low adrenal reserve, lymphedema, spleen calcifications, among others [8]. Moreover, the chronic pulmonary form of the disease can be disabling due to pulmonary fibrosis development, and is frequently seen in PCM endemic areas of Brazil, Argentina, Venezuela, and Colombia that report the majority of cases [9]. The number of early deaths, even in patients with unknown previous clinical history, is remarkably high and this mycotic disease is the most common cause of hospitalization due to fungal infections in immunocompetent patients in Brazil [10]. The severity of specific cases, the broad spectrum of clinical manifestations, and the highly variable immune response observed in patients with PCM requires further investigation of the organism’s genetic contribution to disease plasticity, diagnostics, and prognostics [11].

The etiological agents of human PCM are distributed into at least 5 species: Paracoccidioides brasiliensis (former S1 phylogenetic group), Paracoccidioides americana (former PS2 phylogenetic group), Paracoccidioides restrepiensis (former PS3 phylogenetic group), Paracoccidioides venezuelensis (former PS4 phylogenetic group), and Paracoccidioides lutzii (former Pb01-like phylogenetic group) [1117]. The species P. restrepiensis and P. venezuelensis are geographically restricted to Colombia and Venezuela respectively, while P. brasiliensis, P. americana, and P. lutzii have a broad occurrence in Latin American countries [14, 17]. Moreover, P. brasiliensis is composed of two cryptic populations: S1a and S1b, that are differentially prevalent along eastern Brazil and southern South America respectively [16, 17]. P. americana has been identified in eastern Brazil and in a single occurrence in Venezuela, but with a lower incidence compared to P. brasiliensis [12, 14, 15]. P. lutzii constitutes a single genotype that is endemic to the north-mid western part of Brazil and Ecuador and it is genetically distant from the former P. brasiliensis species complex that includes the above mentioned species [11, 13, 15].

To date, fewer than 200 Paracoccidioides spp. strains have being properly genotyped and the availability of data from specific endemic areas of South America are scarce [12, 13, 14]. Regional efforts to understand the genetic epidemiology of these pathogens are needed as disease variations among patients are evident, treatment outcome may differ for different fungal species, and there may be differences in the arsenal of virulence factors expressed during infections within and between species.

Approximately 80% of PCM cases are reported in the Brazilian territory [1, 10]. The Southeast region of Brazil includes the states of São Paulo, Rio de Janeiro, Espírito Santo, and Minas Gerais, which are historically important areas of high endemicity of the disease [1]. The state of Rio de Janeiro has the third highest number of hospitalizations due to PCM in Brazil [10]. The disease was first reported by Adolpho Lutz in 1908, and reporting over almost a century in this state reveals a strong association with rural lifestyle and farming [18, 19]. The southern Paraíba Valley and the Resende basin are areas of sugar cane, coffee plantations and deforestation for both agriculture and livestock production, and are related to the disease burden in this state [20]. Acute PCM cases are also frequently reported in Rio de Janeiro suggesting active and constant dispersion of the fungus among the population [5, 8]. The disease is highly endemic in the metropolitan area of the Rio de Janeiro state (municipalities of Rio de Janeiro, Duque de Caxias, Itaguaí, Magé, Cachoeiras de Macacu, Nova Iguaçu) as well as in the Paraiba Valley (Volta Redonda and Barra Mansa) [5, 8, 10]. However, hospitalizations due to PCM are recorded in the entire range of the state, even in mountain regions (Petrópolis and Teresópolis), mid-South (Vassouras and Paraíba do Sul) or North of the state (Campos dos Goytacazes and São Fidélis) suggesting that the fungus is endemic to the whole state or perhaps the patients may have migrated from the place of infection to other regions of the state. Currently, 14 strains from patients living at Rio de Janeiro have been genotyped and the clinical information reported, resulting in 13 identified as P. brasiliensis and one as P. americana [8, 2125]. These species are potentially sympatric since they seem to inhabit the same geographical area, i.e. Rio de Janeiro and São Paulo states [8, 14, 22].

In order to investigate the genetic background of Paracoccidioides spp. and its possible medical associations in the endemic area of Rio de Janeiro, 54 clinical strains recovered from 47 patients presenting both chronic and acute forms of PCM were identified by molecular techniques and the epidemiologic, clinical, therapeutic, and serological features of the patients were associated with the identified species. We also compared the P. brasiliensis P. americana isolation ratio between São Paulo and Rio de Janeiro in order to better understand the ecology of those species complexes.

Methods

Fungal strains

Isolation of fungi was carried out from 1998 to 2016 from patients admitted at the Evandro Chagas National Institute of Infectious Diseases (INI/Fiocruz) for diagnosis and clinical management of PCM. Paracoccidioides strains were isolated for diagnostic purposes from different human clinical samples: oral or nasal mucosa, lymph nodes, sputum, bronchoalveolar lavage, skin lesions, and spleen. The strains were maintained under mineral oil and recovered for molecular analyses after subcultures in Potato Dextrose Agar incubated at 25°C for 30 days. The Paracoccidioides spp. colonies were then subcultured in Fava-Netto agar plates incubated at 37°C for 14 days and single colonies were collected to further characterize the Paracoccidioides species by molecular biology.

Ethical statements

The use of anonymous patients’ data of the patients herein included was approved by the Ethics Committee Board of INI/Fiocruz (number CAAE: 42590515.0.0000.5262).

Patients

All patients for whom at least one viable colony of Paracoccidioides sp. was cultured were included in this study. Medical records of the included patients were anonymously reviewed. Socio-demographic and epidemiologic data included age, sex, place of birth and residence of the patients, as well as the probable region where they became infected. The latter was inferred from the information provided by the patient such as place of birth, residence, development of risk activities such as agricultural and/or construction activities, or armadillo hunting. Clinical information included the PCM clinical form, the main organs affected, and the grade of disease’s severity according to Mendes et al. [26]. All patients underwent a standard routine clinical evaluation including physical examinations, blood tests [hematology, liver and renal function tests, Ouchterlony double immunodiffusion (ID) test for PCM, enzyme immunoassay tests for screening of HIV antibodies], parasitological stool analysis, acid-fast bacilli and culture of clinical specimens, chest radiography, and other imaging examinations when indicated [brain computerized tomography (CT), abdominal CT or ultrasonography]. The adrenal function was evaluated using the adrenocorticotropic hormone/ACTH stimulation test. Low adrenal reserve was defined as a cortisol normal basal level and levels lower than 20 mg/dl after 30 and 60 minutes of stimulation. Some of the above mentioned tests may not have been performed depending on test availability and patient’s consent. Therapeutic regimen was based on the Brazilian PCM guidelines [7] that were recently revised. The analyzed data included the drugs prescribed and the total time of treatment. Prognostic information was related to the patient’s outcome such as cure, relapses, complications, and death. Cure criteria considered clinical, radiological, and serological aspects [7].

Serologic tests

Double-immunodiffusion (ID) assay was applied for specific antibody detection using a pool of crude antigens obtained from isolates Pb01 (P. lutzii) and Pb339 (P. brasiliensis). The sera were obtained from the patients followed: at admission (before treatment), every 3 months until cure was achieved, and every 6 months until patients’ discharge. A quantitative ID was performed, through 2-fold dilutions of sera in phosphate buffered saline solution. For comparison purposes, the serum titer of the first and last stored serum samples of each patient were compared.

Paracoccidioides genotyping

The genomic DNA of each strain was extracted from yeast-like cultures according to Ferrer et al. [27] and quantified using the NanoVue Plus Spectrophotometer. Each DNA sample was used as template for the PCR amplifications of the partial ADP-ribosylation factor (arf) and the 43-kDa-glycoprotein (gp43) genes using the Platinum Taq DNA polymerase 2X PCR Master Mix. The mixture contained 5 μl of 10X reaction buffer solution, 1 μl of the forward (ARF-F 5’TCTCATGGTTGGCCTCGATGCTGCC3’ and gp43-E2F 5’CCAGGAGGCGTGCAGGTGTCCC3’) and reverse (ARF-R 5’GAGCCTCGACGACACGGTCACGATC3’ and gp43-E2R 5’GCCCCCTCCGTCTTCCATGTCC3’) primers (10 pM) as described elsewhere [21], 5 μl of deoxynucleoside triphosphate solution (0.2 mM), 2 μl of magnesium chloride solution (2 mM), 0.5 μl of Taq DNA polymerase (2.5 U), 100 ng of fungal genomic DNA, and ultrapure water in a final reaction volume of 50 μl. Annealing primer conditions and cycling were adapted from Teixeira and collaborators, as previously described [11, 21].

The nucleotide sequences were determined via automatic capillary Sanger sequencing in an ABI 3730xl- Applied Biosystems machine using the BigDye Terminator v3.1 cycle sequencing kit (Thermo Fisher Scientific, USA). Sequencing was performed using both forward and reverse primers [21] and nucleotide quality control was checked using Phred [28]; only called bases with a Phred score > 30 were considered for subsequent analysis. Representative sequences of arf and gp43 loci, covering P. brasiliensis (S1a and S1b), P. americana, P. restrepiensis, P. venezuelensis, and P. lutzii were added to the dataset [1113, 29] (S1 Table). The sequences were aligned using the ClustalW algorithm [30] implemented in the BioEdit software [31] and were manually inspected.

In order to genetically classify the Paracoccidioides sp. strains from Rio de Janeiro state, Maximum Likelihood (ML) methods were applied. Phylogenetic trees were calculated using the IQ-TREE software [32] and nucleotide substitution models were selected using ModelFinder [33]. Each isolate was assigned to each species/genotype and branch support was inferred using both ultrafast bootstraps [34] and Shimodaira–Hasegawa approximate likelihood ratio test (SH-aLRT). Trees as well branch supports were visualized using FigTree v1.4. The haplotype networks were produced to visualize the microevolution of both P. brasiliensis and P. americana. The distribution and diversity of haplotypes for the arf + gp43 dataset was estimated using the software DnaSP, v 5 [35] and the Median-joining network was built and visualized used in Network, v 4, software (Fluxus Technology, Clare, Suffolk, England).

Mapping P. brasiliensis and P. americana in southeastern Brazil

Geographical locations and the genotypic profile of human, environmental and armadillo strains as well soil and biopsies amplicons recovered from P. americana and P. brasiliensis samples from Southeast Brazil (Rio de Janeiro, São Paulo and Minas Gerais) were retrieved for counts [12, 14, 3642]. These three states are located in the Southeastern part of Brazil, a hot spot of PCM, and contain the majority of currently genotyped strains of Paracoccidioides.

Statistical analyses

The sociodemographic, epidemiological, clinical, and prognostic data of the included patients were represented as frequencies and their respective 95% confidence intervals. If the mean values of a variable in two independent groups had confidence intervals that do not overlap, then the difference between the groups was considered significant. Additionally, Fisher exact test was used in the comparison of categorical data, Student’s t test in the comparison of treatment times, and the Wilcoxon test in the comparison of anti-Paracoccidioides antibody serum titers before and after treatment. The proportions of both P. brasiliensis and P. americana in each sample state of Brazil were compared using N-1 Pearson’s Chi-Square test with a 95% confidence interval [43]. P. brasiliensis and P. americana distributions were tested for deviation from the hypothetical ratio of 1:1 using a chi-square test in the Microsoft Excel platform. Finally, we tested deviation from the 1:1 ratio of the overall counts for humans and armadillo for host-specificity tests. The environmental records were excluded from the statistical analyses due to low sample size. In all analyses, a p<0.05 was considered to be statistically significant.

Results and discussion

Paracoccidioides spp. recovery

Laboratorial storage of Paracoccidioides remains a challenge, and the recovery rate of the fungus is usually low. A previous study has reported a 26% recovery rate in a collection of 70 P. brasiliensis strains maintained under mineral oil for long periods of time. Moreover, only strains stored less than 10 years were viable [44]. In the current study, from 128 clinical Paracoccidioides spp. strains stored under mineral oil in the mycological culture collection of INI/Fiocruz, 54 (42%) remained viable after 1 to 17 years of storage and were recovered for molecular analysis, corresponding to a total of 47 patients.

Molecular aspects and genetic distribution of Paracoccidioides spp. in Rio de Janeiro, Brazil

Phylogenetic analysis of 54 Paracoccidioides spp. clinical strains from Rio de Janeiro, Brazil indicates P. brasiliensis (n = 48) and P. americana (n = 6) as the causative agents of PCM in patients living in this state. Teixeira and collaborators [11] established that the partial sequencing of the genes arf and gp43 is able to differentiate P. lutzii from the three P. brasiliensis phylogenetic species (S1, PS2, and PS3). Years later, when these phylogenetic species were elevated to the formal taxonomic species P. brasiliensis, P. americana, and P. restrepiensis, respectively, it was shown that phylograms using nuclear concatenated coding loci, including arf and gp43, can differentiate the newly described species [17]. In a clinical laboratory scenario, sequencing of several genes is a difficult task, and then the use of the two genes described in this work can facilitate Paracoccidioides species differentiation in a clinical setting. It is important to note that both arf and gp43 genes show a negative value for Tagima’s D, indicating an excess of low polymorphisms relative to expectation [17]. Moreover, our phylogenetic identification is supported by phylogenetic and haplotype network analyses that included arf and gp43 sequences derived from strains successfully identified in previous publications [11, 12, 17], which support the concept that the sequencing of these two genes allows the differentiation between P. brasiliensis and P. americana.

To the best of our knowledge, this is the largest assessment of P. americana ever reported and the main P. brasiliensis report of cases with molecular identification and description of the respective medical features of PCM. The geographic origin, that is, the probable place of infection, of P. brasiliensis strains included the following Brazilian states: Rio de Janeiro (34 cases), Minas Gerais (5 cases), Paraíba, Ceará, and Piauí (1 case, each). Cases of PCM due to P. americana were from Rio de Janeiro (5 cases) and Minas Gerais (1 case). Fig 1 shows the geographic distribution of the Paracoccidioides spp. strains related to the probable source of infection of the cases here studied.

Fig 1. Map showing the geographic distribution of the strains analyzed in this study in the Brazilian territory according to the species molecularly identified.

Fig 1

The states with identified strains are Piauí (PI), Ceará (CE), Paraíba (PB), Minas Gerais (MG), and Rio de Janeiro (RJ). This last state is maximized in the right inferior box. Each dot represents the probable origin of one strain. Red dots: Paracoccidioides brasiliensis, green dots: Paracoccidioides americana. Base map data from Brazilian Institute of Geography and Statistics (IBGE) and Secretary of State for Regional Development, Supply and Fisheries. Produced by Geoprocessing Laboratory/LIS/ICICT/FIOCRUZ.

The strains we define as belonging to the P. brasiliensis clade are genetically undifferentiated from the ones recovered previously from São Paulo state, Brazil. Also, the strains identified as P. americana, recovered from patients infected at the Rio de Janeiro state (n = 5) or at Minas Gerais (n = 1), clustered in the same clade (clade B) with two other strains previously identified from São Paulo (B7 and B23). This clade is distinct from clade A, which contains strains mainly from São Paulo suggesting that cryptic genotypes within this species may exist within P. americana. Fig 2 represents the phylogenetic analysis of the strains identified in this study.

Fig 2. Phylogenetic tree including the strains identified in this study and reference strains.

Fig 2

The relationships of arf and gp43 genes among the 54 clinical isolates included in this study (marked with red dots) and 110 strains previously identified are represented. Type strains for each species are marked with T*. The phylogenetic tree was estimated in the FigTree version 1.4 software. Colors in bars represent the Paracoccidioides species described so far. Yellow: P. brasiliensis, red: P. americana, blue: P. restrepiensis, purple: P. venezuelensis, green: P. lutzii. Clades A and B of P. americana are also represented (gray dotted vertical bars).

The species identification based on haplotype network and phylogenetic analysis were similar (Fig 3). In brief, all P. americana strains from Rio de Janeiro and Minas Gerais clustered within a single haplotype complex (Hap11, Hap47, Hap48 and Hap54 were collapsed) within P. americana (Fig 2). The grouping of the strains B7 and B23 were also noted in the network analysis since those are also placed within the haplotype containing the newly P. americana defined strains. The P. americana type-strain isolated at São Paulo (Pb3) grouped with a different haplotype. The majority of P. brasiliensis (n = 46, 95.8%) strains genotyped were placed within the major haplotype complex of P. brasiliensis (Hap1-2, Hap10, Hap41-43, Hap45-46, Hap49-53 and Hap55 were collapsed–Fig 2). This included patients likely infected in Rio de Janeiro state as well as those that were likely infected in Paraíba and Ceará states. This large haplotype group also harbors the majority of clinical strains from São Paulo and Minas Gerais [12, 14, 40, 41], indicating that this is the predominant P. brasiliensis haplotype in Brazil. By analyzing the two loci, arf and gp43, we did not differentiate the P. brasiliensis S1a and S1b cryptic genotypes as reported using whole genome typing [16].

Fig 3. Haplotype network including the 54 strains identified in this study and 110 reference strains.

Fig 3

Median-joining haplotype network of Paracoccidioides isolates based on concatenated arf and gp43 partial gene sequences. The circumference sizes are proportional to the frequency of haplotypes. Red open dots (median vectors) represent unsampled or extinct haplotypes in the studied population. Numbers between circles represent the amount of mutational steps. All newly described Paracoccidioides species formed segregated clusters in the network: P. brasiliensis (yellow), P. americana (red), P. restrepiensis (blue), P. venezuelensis (purple), and P. lutzii (green).

One P. brasiliensis strain in this study (47735) formed an exclusive haplotype. This strain was isolated from a patient whose probable place of infection was the Rio de Janeiro state (Duque de Caxias municipality), although the major clinical presentation of this case, portal hypertension, was very similar to another case caused by a strain belonging to the large P. brasiliensis haplotype [23].

A different P. brasiliensis strain in our study that did not cluster in this large haplotype (22027) was isolated from a patient living in Rio de Janeiro at the time of diagnosis, but who probably acquired the infection in the Brazilian Northeast state of Piauí, known for rare occurrences of autochthonous cases of PCM [1]. This patient presented the chronic form and did not report risk activities associated with PCM in the state of Rio de Janeiro or in any other state. However, in childhood, he lived in rural conditions for several years in his place of birth (Teresina, the capital of Piauí state). This strain was genetically similar to the following reference strains: B11 (an armadillo isolate, origin from Pará), B25 (isolated from a chronic human case of São Paulo) and U1 (isolated from penguin feces, Antarctica) and were also placed into a single branch on the phylogenetic analysis [12]. Considering the absence of PCM cases acquired in the northeastern semi-arid region [1], we hypothesized that this patient may have traveled in transition areas of Brazilian savanna and Amazon biomes, in the northern region of Brazil, near his childhood home.

The Southeastern region of Brazil is dominated by two main biomes: The Brazilian neotropical savanna and the Atlantic rainforest, with no clear geographic barriers that impair fungal migration through these areas. However, these two highland biomes are characterized by different climatic conditions, soil types, and a diverse floral and faunal composition. The three main highland Brazilian areas are: (a) The Atlantic Plateau, extending all along the eastern coast of Brazil, (b) Southern Plateau, advancing inland towards the southern and southern-central areas, and (c) the Central Plateau that is placed in the central regions of Brazil, which is mostly covered by the Brazilian savanna vegetation. For instance, past studies revealed that within the endemic area of Botucatu, São Paulo state, both humans and armadillos can be infected by both P. brasiliensis and P. americana [38]. A single armadillo captured in the surrounding areas of Botucatu, carried both P. brasiliensis and P. americana isolates suggesting that those species are likely sympatric.

Both P. brasiliensis and P. americana were found in this study to be the causative agents of PCM in patients described in a recent outbreak of acute PCM occurring after the construction of a highway in the Rio de Janeiro metropolitan area [5] which reinforces that those species occupy the same geographical areas. In other to achieve a better understanding of the influence of ecological niches on speciation, more samples are needed, and a greater number of alleles need to be assessed, which may be facilitated by whole genome sequencing.

Socio-demographic aspects

Regarding the sociodemographic and epidemiological aspects, the mean age was 38 years of age (95% CI 34–42) for the cases due to P. brasiliensis, and 43.5 years (CI 95% 33–54) among those due to P. americana. This is in accordance with several studies reporting that PCM affects mostly working adults [1, 7, 18]. There were no statistical differences between the variables analyzed related to the identified Paracoccidioides species. The main variables studied are detailed in Table 1.

Table 1. Sociodemographic and epidemiological data of patients with paracoccidioidomycosis according to the species identified in this study.

Variable analyzed P. brasiliensis P. americana p valueb
n % (95%CIa) n %(95%CI)
Sex (male) 36 88 (78–98) 4 67 (29–100) 0.2136
Rio de Janeiro state origin 29 71 (55–84) 5 83 (54–100) 1.0000
Minas Gerais origin 4 10 (1–20) 1 17 (0–46) 0.5115
Risk activities present 20 49 (33–64) 4 67 (29–100) 0.6662
Alcohol use 22 54 (37–69) 5 83 (54–100) 0.2205
Tobacco use 29 71 (55–84) 5 83 (54–100) 1.0000

a CI–confidence interval

b p value based on Fisher’s exact test

Clinical aspects

No statistically significant differences were detected regarding clinical aspects and the species identified. Table 2 summarizes the main clinical findings of the cases studied according to the involved fungal strain.

Table 2. Clinical aspects of patients with paracoccidioidomycosis according to the species identified in this study.

Variable analyzed P. brasiliensis (n = 41) P. americana (n = 6) p value*
n % (95% CI) n % (95% CI)
Clinical form
 Chronic 23 56 (41–71) 5 83 (54–100) 0.3783
 Acute/subacute 16 39 (24–54) 1 17 (0–46) 0.3958
 Mixed 2 5 (0–11) 0 0 1.0000
Severity
 Mild 7 17 (6–29) 1 17 (0–46) 1.0000
 Moderate 18 44 (29–59) 4 67 (29–100) 0.3980
 Severe 16 39 (24–54) 1 17 (0–46) 0.3958
Organs affected
 UAWT 26 63 (49–78) 5 83 (54–100) 0.6484
 Larynx 7 17 (6–29) 2 33 (0–71) 0.3222
 Lungs 23 56 (41–71) 5 83 (54–100) 0.3783
 Lymph nodes 21 51 (36–67) 2 33 (0–71) 0.6662
 Skin 16 39 (24–54) 0 0 0.0819
 Liver/spleen 10 24 (11–38) 0 0 0.3173
 Adrenal 6 14 (6–29) 3 50 (12–88) 0.0747
 Bone marrow 3 7 (0–15) 0 0 1.0000
 CNS 2 5 (0–11) 0 0 1.0000
 Bone 2 5 (0–11) 0 0 1.0000
Coinfections
 Tuberculosis 3 7 (0–15) 0 0 1.0000
 HIV/AIDS 5 12 (4–26) 0 0 1.0000
 Viral hepatitis 2 5 (0–11) 1 17 (0–46) 0.3426
 Intestinal worms 6 14 (6–29) 2 33 (0–71) 0.2672

CI–confidence interval; UAWT–upper airway tract; CNS–central nervous system

* p value based on Fisher’s exact test

In Rio de Janeiro, the proportion of the acute form of PCM is historically reported as 3–10% of all PCM cases [5, 8, 18]. The high proportion of acute/subacute juvenile clinical forms as well as severe cases and HIV-AIDS coinfected patients in the present study are possibly related to the higher fungal burden of these cases that facilitates fungal isolation in culture, which was an inclusion criterion of this study. Both Paracoccidioides species identified in this study were involved in acute/subacute PCM cases. To the best of our knowledge, this is the first formal description of acute/subacute PCM due to P. americana. There is a previous report of a PCM case caused by P. brasiliensis PS2 (now P. americana) in a young male patient, however other clinical aspects of this infection were not reported, which impairs the correct classification of the clinical form in this case [14]. Due to the age of the patient, it is thought that this was an acute/subacute PCM case. Taken together, these two reports support the proposition that P. americana can also cause acute PCM.

On average, adrenal involvement related to PCM is reported in 56% of autopsied cases [7, 26]. Also, it is worth mentioning that the high proportion of adrenal impairment in the small group of cases due to P. americana suggests a possible adrenal tropism of this species. It is well described that P. brasiliensis [8, 21, 23, 25] and P. lutzii [45] can be related to severe PCM cases. Adrenal involvement can bring severe sequelae, which also could associate P. americana as well as P. brasiliensis and P. lutzii with severe PCM cases.

Therapeutic aspects

Table 3 shows the main characteristics of treatment and the respective total time of treatment according to each species. One P. brasiliensis infected patient did not receive antifungal treatment because she never returned to our institution after fungal isolation and diagnosis. The treatment times are in accordance with other studies on PCM therapy [7, 26]. A previous study suggested that P. brasiliensis was less responsive than P. lutzii to SMZ/TMP using an in vitro susceptibility test [46]. In the present study the six P. brasiliensis infected patients had a good response to this drug. It is not possible to know the exact species within the former P. brasiliensis complex (S1, PS2, PS3, or PS4) studied by Hahn and collaborators, therefore this therapeutic response to SMZ/TMP needs to be further explored under the light of the new Paracoccidioides species. The high frequency of drug combination in this study reflects the severity and complexity of the cases since drug association is known to be a good strategy for critical and neurological cases [8].

Table 3. Therapeutic aspects of patients with paracoccidioidomycosis according to the species identified in this study.

Drug prescribed P. brasiliensis (n = 41) P. americana (n = 6) p valuea
n mean time (months) n mean time (months)
ITZ 12 15.7 1 15 NCb
SMZ/TMP 6 19.3 2 27.5 0.4841
ITZ and SMZ/TMPc 10 20.7 3 18.6 0.8304
Othersd 12 44.2 0 - NC

ITZ–itraconazole; SMZ/TMP–sulfamethoxazole-trimethoprim

a p value based on Student’s t test

b NC–Not calculated due to small sample size in P. americana group.

c Sequentially prescribed due to adverse effects or refractoriness

d Drug combinations and amphotericin B

Serological aspects

Immunodiffusion (ID) was positive at the time of diagnosis in 80% of PCM cases caused by P. brasiliensis (95% CI 68–92) and in 100% of PCM cases caused by P. americana (95% CI 54–100), showing no significant differences in sensitivity of ID regarding Paracoccidioides species. These results highlight the efficacy of ID in P. americana infected patients using antigens derived from other phylogenetic species. Fig 4 shows the reactivity of the test according to the etiologic agent in 38 patients who had paired titers for comparison. The first (at admission) and last (at discharge) available ID tests were considered, regardless of the outcome. For both groups, serum antibody titers at discharge were lower than at admission (p values of <0.0001 and 0.0173 for P. brasiliensis and P. americana-infected patients, respectively).

Fig 4. Immunodiffusion reactivity in serological samples from 38 patients of this study.

Fig 4

Serum antibody titers from patients infected with P. brasiliensis (blue dots) and P. americana (red dots) are informed.

Eight cases caused by P. brasiliensis did not react to ID, although these results were expected for three cases due to HIV/aids coinfection [7]. Since aids can impair antibody production, reducing ID sensitivity, this parameter was also calculated excluding the 5 patients living with HIV/aids. In this scenario, ID of PCM caused by P. brasiliensis presented a sensitivity of 86% (95% CI 71–95). Two previous reports regarding results of serological reactivity associated with the molecular species responsible for PCM reveal differences. While the former presents a case, whose fungal agent identified by serologic tools was P. lutzii [47], the latter reports a case due to P. brasiliensis molecularly identified in which serology reacted only against P. lutzii antigens [48]. More studies are necessary to clarify these findings. However, our findings reinforce that molecular techniques are likely most appropriate.

Prognostic aspects

No differences between species were found regarding prognostic aspects (Table 4). Since its description, P. lutzii has been implicated in poor prognosis of PCM [15, 45]. P. brasiliensis was responsible for many complications in the patients included in this study, severe cases including acute lymph abdominal forms and a fatal septic shock similar to a previous case report of PCM associated with P. lutzii [25, 45].

Table 4. Prognostic aspects of patients with paracoccidioidomycosis according to the species identified in this study.

Variable analyzed P. brasiliensis (n = 41) P. americana (n = 6) p valueb
n % (95% CIa) n % (95% CI)
Outcome 1.0000
 Cure 26 63 (49–78) 5 80 (45–100)
 Death due to PCM 4 10 (3–23) 0 0
Complications
 Dysphonia 7 17 (6–29) 2 33 (0–71) 0.3222
 Low adrenal reserve 5 16 (3–28) 3 40 (0–83) 0.0812
 Cholestasis 4 10 (1–19) 0 0 1.0000
 Palatal perforation 3 7 (0–15) 0 0 1.0000
 Tracheostomy 2 5 (0–11) 0 0 1.0000
 Microstomy 2 5 (0–11) 0 0 1.0000
 Portal hypertension 2 5 (0–11) 0 0 1.0000

a CI–confidence interval

b p value based on Fisher’s exact test

P. americana was also associated to dysphonia and low adrenal reserve. In Botucatu, a municipality of São Paulo state, dysphonia was reported as a frequent PCM complication associated with laryngeal involvement [49]. It is not possible to infer the Paracoccidioides species associated with those cases, but Botucatu is located in the Brazilian southeast, an area of P. americana occurrence [7, 22]. Another study conducted in São Paulo reported up to 44% significant hypoadrenalism in patients with PCM [50], a frequency similar to that found in the P. americana patients of this study. In Rio de Janeiro, low adrenal reserve was observed in approximately 13% of patients with acute PCM [8], a frequency similar to that observed in the P. brasiliensis infected patients herein described, which can be explained by the predomination of P. brasiliensis in the patients included in the present work.

Ecological factors that underlies P. brasiliensis and P. americana distribution

Microbial communities are made up of distinct genetic entities and defining species boundaries and range in fungal pathogens is essential for molecular epidemiology studies. Not only for its clinical relevance in Latin America, Paracoccidioides may offer an interesting model of complex genetic microbial entities.

Strikingly, by analyzing our study and retrospective reports that used molecular techniques to differentiate the Paracoccidioides species, we observed that the ratio of P. brasiliensis/P. americana distribution is uneven considering either São Paulo, Rio de Janeiro, or Minas Gerais as distinct states as well taking account human or armadillo populations suggesting that those species may occupy different niches (Fig 5).

Fig 5. Paracoccidioides brasiliensis/Paracoccidioides americana ratio among environmental, human, and armadillo strains.

Fig 5

(A) ratios of three states from the Southeastern Brazilian region, where the study was conducted: Minas Gerais (MG), Rio de Janeiro (RJ), and São Paulo (SP). Graphs represent the number of identified strains from clinical (black bars), armadillos (orange bars), and environmental (gray bars) origins. (B) global ratios and number of human and armadillo P. brasiliensis and P. americana strains. Base map data from Brazilian Institute of Geography and Statistics (IBGE).

According to our data, P. brasiliensis is more prevalent than P. americana in the three analyzed states of Brazil ranging from 2.6:1 in Minas Gerais, 7.5:1 in São Paulo and 8:1 in Rio de Janeiro (Fig 5). We compared those proportion via N-1 Chi-square test and observed that this uneven species distribution is statistically significant in São Paulo (Difference—76.60%, 95% CI—42.7234 to 87.6818, χ2–28.088, DF 1, P < 0.0001) and Rio de Janeiro (Difference—78.80%, 95% CI—33.2949 to 90.0857, χ2–17.656, DF 1, p < 0.0001) but not in Minas Gerais (Difference—44.49%, 95% CI—-4.4054 to 71.7512, χ2–2.81, DF 1, p = 0.0937). We also used Chi-square tests in order look for deviations from the 1:1 ratio for the P. brasiliensis/P. americana species distribution. The uneven distribution was found significantly in São Paulo (p < 0.0001) and Rio de Janeiro (p < 0.0001) but not in Minas Gerais, where a tendency was noted (p = 0.059) (Fig 5). We also observed a skewed species distribution by considering either humans (6.1:1 –p < 0.0001) or armadillos (18:1—p < 0.0001), suggesting that in both mammal hosts this pattern is observed.

Relevant differences in phenotypes have been already reported in the literature: (i) Strains from P. brasiliensis species produce more conidia compared to P. americana (ii) P. americana produces atypical yeast morphology at 37°C compared to P. brasiliensis species [14, 17]. Variable loci may produce phenotypic plasticity in natural populations mainly due genetic drift. Under neutral selection, the genetic diversity inherited by a given population is dependent on the population size and mutation rate. In fungi, especially in dimorphic fungi, mutation rates and/or cell subdivision estimates are scarce making it difficult to determine effective population size. In sympatric species, such as P. brasiliensis and P. americana, understanding evolutionary aspects that may explain genetic plasticity is facilitated by comparing genomes of sister species that diverge in life history or ecology in the same geographical area. Recent population genomic studies revealed these closely related species have similar low nucleotide diversity indexes (P. brasiliensis—π = 0.00053 and P. americana—π = 0.00066) and genome-wide calculation of Tajima’s D did not deviate from the null hypothesis suggesting neutrality. By combining this nucleotide diversity and phylogenomic measurements the authors suggested that P. americana is a more ancient species compared to P. brasiliensis [16] and this may impact the population size and fitness of this species. These observations, coupled with a skewed species distribution, suggest that P. brasiliensis may have more efficient mechanisms to survive in the environment and to infect mammals compared to P. americana. Moreover, those species may compete for the same host and thus it may explain the differences on population size of both species.

Conclusions

In conclusion, 54 clinical strains were newly genotyped through sequencing of both arf and gp43 loci, reinforcing that both P. brasiliensis and P. americana are endemic species in Rio de Janeiro. The majority of P. brasiliensis strains from Rio de Janeiro state clustered within P. brasiliensis with no genetic differentiation from those from São Paulo. However, P. americana recovered from Rio de Janeiro formed a new cluster apart from that previously described containing strains from São Paulo, Minas Gerais (Brazil), and Venezuela suggesting that the genetics of this species is more complex than previously thought. For the first time, clinical and molecular aspects of PCM in the endemic area of Rio de Janeiro are described. In this geographical region, P. brasiliensis was responsible for severe lymph abdominal forms including massive splenomegaly, portal hypertension and fatal septic shock. P. americana appears to have adrenal tropism, presented 100% reactivity to immunodiffusion, even when tested against antigens from other species, and caused acute forms, along with P. brasiliensis. No statistically significant associations were found between the two species analyzed and clinical aspects. Comparative analysis considering retrospective genotyped cases of human and armadillo infections suggests that those two species have different population sizes and may compete from the same host.

This study was performed with regional-origin patients and present limitations with regards to the number of cases analyzed, especially in those caused by P. americana, as well as the representativeness of the species of the genus Paracoccidioides. However, the prevalence of P. americana in the Brazilian Services is unknown. Therefore, this number could not be so small, and the publication of these data may launch the knowledge of this species distribution and its clinical aspects. In addition, aspects such as the strain virulence, the inhaled fungal burden, the genetic and immunological susceptibility of the host as well as the diagnostic delay and other social determinants of health inequality deserve future studies to address their conjunct role in the spectrum of clinical presentations and in the severity of PCM.

Future multicenter studies including a higher number of fungal strains including all species and their corresponding clinical data are required to fully understand this severe neglected systemic mycosis, so relevant to public health.

Supporting information

S1 Table. Accession numbers of the Paracoccidioides sequences analyzed in this study.

(XLSX)

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

RMZ-O was supported in part by the National Counsel of Technological and Scientific Development—CNPq [304976/2013-0]—http://www.cnpq.br, and Fundação de Amparo a Pesquisa do estado do Rio de Janeiro—FAPERJ [E-26/203.076/2016]—http://www.faperj.br. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001. The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Martinez R. New Trends in Paracoccidioidomycosis Epidemiology. Journal of Fungi. 2017;3(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Franco M, Bagagli E, Scapolio S, da Silva Lacaz C. A critical analysis of isolation of Paracoccidioides brasiliensis from soil. Med Mycol. 2000. June;38(3):185–91. [DOI] [PubMed] [Google Scholar]
  • 3.Restrepo A, McEwen JG, Castaneda E. The habitat of Paracoccidioides brasiliensis: how far from solving the riddle? Med Mycol. 2001. June;39(3):233–41. [DOI] [PubMed] [Google Scholar]
  • 4.Tavares AH, Fernandes L, Bocca AL, Silva-Pereira I, Felipe MS. Transcriptomic reprogramming of genus Paracoccidioides in dimorphism and host niches. Fungal Genet Biol. 2015. August;81:98–109. 10.1016/j.fgb.2014.01.008 [DOI] [PubMed] [Google Scholar]
  • 5.do Valle ACF, Marques de Macedo P, Almeida-Paes R, Romão AR, Lazéra MDS, Wanke B. Paracoccidioidomycosis after Highway Construction, Rio de Janeiro, Brazil. Emerg Infect Dis. 2017. November;23(11):1917–1919 10.3201/eid2311.170934 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bagagli E, Bosco SM, Theodoro RC, Franco M. Phylogenetic and evolutionary aspects of Paracoccidioides brasiliensis reveal a long coexistence with animal hosts that explain several biological features of the pathogen. Infect Genet Evol. 2006. September;6(5):344–51. 10.1016/j.meegid.2005.12.002 [DOI] [PubMed] [Google Scholar]
  • 7.Shikanai-Yasuda MA, Mendes RP, Colombo AL, Queiroz-Telles F, Kono ASG, Paniago AM, et al. Brazilian guidelines for the clinical management of paracoccidioidomycosis. Rev Soc Bras Med Trop. 2017. July 20:0. [DOI] [PubMed] [Google Scholar]
  • 8.de Macedo PM, Almeida-Paes R, Freitas DF, Varon AG, Paixao AG, Romao AR, et al. Acute juvenile Paracoccidioidomycosis: A 9-year cohort study in the endemic area of Rio de Janeiro, Brazil. PLoS Negl Trop Dis. 2017. March;11(3):e0005500 10.1371/journal.pntd.0005500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Martinez R. Epidemiology of Paracoccidioidomycosis. Rev Inst Med Trop Sao Paulo. 2015. September;57 Suppl 19:11–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Coutinho ZF, Wanke B, Travassos C, Oliveira RM, Xavier DR, Coimbra CEA Jr. Hospital morbidity due to paracoccidioidomycosis in Brazil (1998–2006). Tropical Medicine & International Health. 2015;20(5):8. [DOI] [PubMed] [Google Scholar]
  • 11.Teixeira Mde M, Theodoro RC, Oliveira FF, Machado GC, Hahn RC, Bagagli E, et al. Paracoccidioides lutzii sp. nov.: biological and clinical implications. Med Mycol. 2014. January;52(1):19–28. 10.3109/13693786.2013.794311 [DOI] [PubMed] [Google Scholar]
  • 12.Matute DR, McEwen JG, Puccia R, Montes BA, San-Blas G, Bagagli E, et al. Cryptic speciation and recombination in the fungus Paracoccidioides brasiliensis as revealed by gene genealogies. Mol Biol Evol. 2006. January;23(1):65–73. 10.1093/molbev/msj008 [DOI] [PubMed] [Google Scholar]
  • 13.Teixeira MM, Theodoro RC, de Carvalho MJ, Fernandes L, Paes HC, Hahn RC, et al. Phylogenetic analysis reveals a high level of speciation in the Paracoccidioides genus. Mol Phylogenet Evol. 2009. August;52(2):273–83. 10.1016/j.ympev.2009.04.005 [DOI] [PubMed] [Google Scholar]
  • 14.Theodoro RC, Teixeira Mde M, Felipe MS, Paduan Kdos S, Ribolla PM, San-Blas G, et al. Genus Paracoccidioides: Species recognition and biogeographic aspects. PLoS One. 2012;7(5):e37694 10.1371/journal.pone.0037694 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Teixeira MM, Theodoro RC, Nino-Vega G, Bagagli E, Felipe MS. Paracoccidioides species complex: ecology, phylogeny, sexual reproduction, and virulence. PLoS Pathog. 2014. October;10(10):e1004397 10.1371/journal.ppat.1004397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Munoz JF, Farrer RA, Desjardins CA, Gallo JE, Sykes S, Sakthikumar S, et al. Genome Diversity, Recombination, and Virulence across the Major Lineages of Paracoccidioides. mSphere. 2016. Sep-Oct;1(5). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Turissini DA, Gomez OM, Teixeira MM, McEwen JG, Matute DR. Species boundaries in the human pathogen Paracoccidioides. Fungal Genet Biol. 2017. September;106:9–25. 10.1016/j.fgb.2017.05.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wanke B, Aide MA. Chapter 6--paracoccidioidomycosis. J Bras Pneumol. 2009. December;35(12):1245–9. [DOI] [PubMed] [Google Scholar]
  • 19.Ferreire-da-Cruz MF, Wanke B, Galvao-Castro B. Prevalence of paracoccidioidomycosis in hospitalized adults in Rio de Janeiro (RJ) Brazil. Mycopathologia. 1987. January;97(1):61–4. [DOI] [PubMed] [Google Scholar]
  • 20.Gonçalves AJR, Londero AT, Terra GMF, Rozenbaum R, Abreu TF, Nogueira SA. Paracoccidioidomycosis in children in the state of Rio de Janeiro (Brazil): Geographic distribution and the study of a "reservarea". Revista do Instituto de Medicina Tropical de São Paulo. 1998;40:11–4. [DOI] [PubMed] [Google Scholar]
  • 21.Marques de Macedo P, de Oliveira LC, Freitas DFS, da Rocha JA, Freitas AD, Nucci M, et al. Acute Paracoccidioidomycosis due to Paracoccidioides brasiliensis S1 mimicking hypereosinophilic syndrome with massive splenomegaly: diagnostic challenge. PLoS Negl Trop Dis. 2016. April;10(4):e0004487 10.1371/journal.pntd.0004487 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.de Macedo PM, Almeida-Paes R, de Medeiros Muniz M, Oliveira MM, Zancope-Oliveira RM, Costa RL, et al. Paracoccidioides brasiliensis PS2: First Autochthonous Paracoccidioidomycosis Case Report in Rio de Janeiro, Brazil, and Literature Review. Mycopathologia. 2016. October;181(9–10):701–8. 10.1007/s11046-016-0015-6 [DOI] [PubMed] [Google Scholar]
  • 23.de Macedo PM, Almeida-Paes R, Freitas DFS, Brito-Santos F, Figueiredo-Carvalho MHG, de Almeida Soares JC, et al. Hepatic Disease with Portal Hypertension and Acute Juvenile Paracoccidioidomycosis: A Report of Two Cases and Literature Review. Mycopathologia. 2017. October;82(9–10):915–919. [DOI] [PubMed] [Google Scholar]
  • 24.Macedo PM, Almeida-Paes R, Almeida MA, Coelho RA, Andrade HB, Ferreira ABTBC, et al. Paracoccidioidomycosis due to Paracoccidioides brasiliensis S1 plus HIV co-infection. Mem Inst Oswaldo Cruz. 2018. March;113(3):167–172. 10.1590/0074-02760170310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.de Macedo PM, Almeida-Paes R, Almeida MA, Coelho RA, Filho MAO, Medeiros DM, et al. Fatal septic shock caused by Paracoccidioides brasiliensis phylogenetic species S1 in a young immunocompetent patient: first case report. Rev Soc Bras Med Trop. 2018. [DOI] [PubMed] [Google Scholar]
  • 26.Mendes RP, Cavalcante RS, Marques AS, Marques MEA, Venturini J, Sylvestre TF, et al. Paracoccidioidomycosis: current perspectives from Brazil. Open Microbiol J. 2017. October;11:224–282. 10.2174/1874285801711010224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ferrer C, Colom F, Frases S, Mulet E, Abad JL, Alio JL. Detection and identification of fungal pathogens by PCR and by ITS2 and 5.8S ribosomal DNA typing in ocular infections. J Clin Microbiol. 2001. August;39(8):2873–9. 10.1128/JCM.39.8.2873-2879.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ewing B, Hillier L, Wendl MC, Green P. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998. March;8(3):175–85. [DOI] [PubMed] [Google Scholar]
  • 29.Marques-da-Silva SH, Rodrigues AM, de Hoog GS, Silveira-Gomes F, Camargo ZP. Occurrence of Paracoccidioides lutzii in the Amazon region: description of two cases. Am J Trop Med Hyg. 2012. October;87(4):710–4. 10.4269/ajtmh.2012.12-0340 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Thompson JD, Gibson TJ, Higgins DG. Multiple sequence alignment using ClustalW and ClustalX Curr Protoc Bioinformatics. 2002. August;Chapter 2:Unit 2 3 10.1002/0471250953.bi0203s00 [DOI] [PubMed] [Google Scholar]
  • 31.Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposium Series. 1999;41:95–8. [Google Scholar]
  • 32.Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015. January;32(1):268–74. 10.1093/molbev/msu300 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017. June;14(6):587–9. 10.1038/nmeth.4285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Minh BQ, Nguyen MA, von Haeseler A. Ultrafast approximation for phylogenetic bootstrap. Mol Biol Evol. 2013. May;30(5):1188–95. 10.1093/molbev/mst024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009. June 1;25(11):1451–2.36. 10.1093/bioinformatics/btp187 [DOI] [PubMed] [Google Scholar]
  • 36.Arantes TD, Theodoro RC, Da Graca Macoris SA, Bagagli E. Detection of Paracoccidioides spp. in environmental aerosol samples. Med Mycol. 2013. January;51(1):83–92 10.3109/13693786.2012.698444 [DOI] [PubMed] [Google Scholar]
  • 37.Arantes TD, Theodoro RC, Teixeira Mde M, Bosco Sde M, Bagagli E. Environmental Mapping of Paracoccidioides spp. in Brazil Reveals New Clues into Genetic Diversity, Biogeography and Wild Host Association. PLoS Negl Trop Dis. 2016. April;10(4):e0004606 10.1371/journal.pntd.0004606 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hrycyk MF, Garcia Garces H, Bosco SMG, de Oliveira SL, Marques SA, Bagagli E. Ecology of Paracoccidioides brasiliensis, P. lutzii and related species: infection in armadillos, soil occurrence and mycological aspects. Med Mycol. 2018. January 6. [DOI] [PubMed] [Google Scholar]
  • 39.Munoz JF, McEwen JG, Clay OK, Cuomo CA. Genome analysis reveals evolutionary mechanisms of adaptation in systemic dimorphic fungi. Sci Rep. 2018. March 14;8(1):4473 10.1038/s41598-018-22816-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Roberto TN, Rodrigues AM, Hahn RC, de Camargo ZP. Identifying Paracoccidioides phylogenetic species by PCR-RFLP of the alpha-tubulin gene. Med Mycol. 2016. March;54(3):240–7. 10.1093/mmy/myv083 [DOI] [PubMed] [Google Scholar]
  • 41.Alves FL, Ribeiro MA, Hahn RC, de Melo Teixeira M, de Camargo ZP, Cisalpino PS, et al. Transposable elements and two other molecular markers as typing tools for the genus Paracoccidioides. Med Mycol. 2015. February 1;53(2):165–70. 10.1093/mmy/myu074 [DOI] [PubMed] [Google Scholar]
  • 42.Ricci G, Zelck U, Mota F, Lass-Florl C, Franco MF, Bialek R. Genotyping of Paracoccidioides brasiliensis directly from paraffin embedded tissue. Med Mycol. 2008. February;46(1):31–4. 10.1080/13693780701488373 [DOI] [PubMed] [Google Scholar]
  • 43.Campbell I. Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations. Stat Med. 2007. August 30;26(19):3661–75. 10.1002/sim.2832 [DOI] [PubMed] [Google Scholar]
  • 44.da Silva AM, Borba CM, de Oliveira PC. Viability and morphological alterations of Paracoccidioides brasiliensis strains preserved under mineral oil for long periods of time. Mycoses. 1994. Jun-Jul;37(5–6):165–169. [DOI] [PubMed] [Google Scholar]
  • 45.Hahn RC, Rodrigues AM, Fontes CJF, Nery AF, Tadano T, Queiroz Júnior LP, et al. Fatal fungemia due to Paracoccidioides lutzii. Am J Trop Med Hyg. 2014. August;91(2):394–398. 10.4269/ajtmh.13-0482 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hahn RC, Macedo AM, Fontes CJ, Batista RD, Santos NL, et al. Randomly amplified polymorphic DNA as a valuable tool for epidemiological studies of Paracoccidioides brasiliensis. J Clin Microbiol. 2003. July;41(7):2849–2854. 10.1128/JCM.41.7.2849-2854.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tatagiba LS, Pivatto LB, Faccini-Martínez AA, Peçanha PM, Velloso TRG, Gonçalves SS, et al. A case of paracoccidioidomycosis due to Paracoccidioides lutzii presenting sarcoid-like form. Med Mycol Case Rep. 2018. March; 19:6–8. 10.1016/j.mmcr.2017.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Buccheri R, Morais VDS, Kamikawa CM, Vidal MSM, Naves G, Del Negro GMB, et al. Case Report: Misleading Serological Diagnosis of Paracoccidioidomycosis in a Young Patient with the Acute Form Disease: Paracoccidioides brasiliensis or Paracoccidioides lutzii? Am J Trop Med Hyg. 2018. April;98(4):1082–1085. 10.4269/ajtmh.17-0812 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Weber SA, Brasolotto A, Rodrigues L, Marcondes-Machado J, Padovani CR, Carvalho LR, et al. Dysphonia and laryngeal sequelae in paracoccidioidomycosis patients: a morphological and phoniatric study. Med Mycol. 2006. May;44(3):219–25. 10.1080/13693780500340320 [DOI] [PubMed] [Google Scholar]
  • 50.Del Negro G, Melo EH, Rodbard D, Melo MR, Layton J, Wachslicht-Rodbard H. Limited adrenal reserve in paracoccidioidomycosis: cortisol and aldosterone responses to 1–24 ACTH. Clin Endocrinol (Oxf). 1980. December;13(6):553–9. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Accession numbers of the Paracoccidioides sequences analyzed in this study.

(XLSX)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.


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