Emergence of Candida (Candidozyma) auris in Minas Gerais, Brazil: Genomic Surveillance to Guide Rapid Public Health Responses
Luiz Marcelo Ribeiro Tomé, Dhian Renato Almeida Camargo, Rafael Wesley Bastos, Sara Cândida Ferreira dos Santos, Natália Rocha Guimarães, Sílvia Helena Sousa Pietra Pedroso, Paulo Eduardo de Souza da Silva, Aristóteles Góes‐Neto, Lida Jouca de Assis Figueredo

TL;DR
This study reports the first genomic surveillance of Candida auris in Minas Gerais, Brazil, revealing its origin and transmission during a hospital outbreak.
Contribution
The study provides the first genomic characterization of C. auris in Minas Gerais and identifies a fluconazole resistance mutation linked to transmission dynamics.
Findings
All C. auris isolates belonged to clade IV and were genetically similar to strains from northern Colombia.
One isolate carried the ERG11 Y132F mutation, indicating fluconazole resistance, while environmental isolates clustered with clinical strains, suggesting surface-mediated transmission.
Abstract
Candida (Candidozyma) auris is an emerging yeast that poses a significant global health threat due to its multidrug resistance and ability to cause healthcare‐associated outbreaks. Genomic surveillance is essential for monitoring spread, transmission and antifungal resistance. To report the first identification and genomic characterisation of C. auris in the state of Minas Gerais, Southeast Brazil, and to investigate the genetic origin and diversity, resistance‐associated mutations, and potential transmission dynamics during a hospital outbreak. Eight C. auris isolates were collected during a hospital outbreak in Belo Horizonte, Minas Gerais, Brazil, including clinical samples from patients and environmental samples from surfaces in the Intensive Care Unit (ICU). Epidemiological investigation, whole‐genome sequencing (WGS) and phylogenomic analyses were conducted to determine…
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FIGURE 5| Patient | Sample ID | State | Municipality | Sample source | Biological material | Patiente age (years) | Sex | Collection date |
|---|---|---|---|---|---|---|---|---|
| 1 | FUNED538 | Minas Gerais | Belo Horizonte | Clinical Sample | Urine | 58 | Male | 2024‐09‐17 |
| 2 | FUNED558 | Minas Gerais | Belo Horizonte | Clinical Sample | Axillary/inguinal swab | 44 | Male | 2024‐09‐27 |
| 3 | FUNED569 | Minas Gerais | Belo Horizonte | Clinical Sample | Axillary/inguinal swab | 38 | Male | 2024‐10‐03 |
| 4 | FUNED575 | Minas Gerais | Belo Horizonte | Clinical Sample | Axillary/inguinal swab | 58 | Male | 2024‐10‐03 |
| 3 | FUNED593 | Minas Gerais | Belo Horizonte | Clinical Sample | Axillary/inguinal swab | 38 | Male | 2024‐10‐04 |
| 4 | FUNED596 | Minas Gerais | Belo Horizonte | Clinical Sample | Axillary/inguinal swab | 58 | Male | 2024‐10‐04 |
| — | FUNED726 | Minas Gerais | Belo Horizonte | Environmental | Hospital bed (ICU‐21) | — | — | 2024‐10‐11 |
| — | FUNED727 | Minas Gerais | Belo Horizonte | Environmental | Cables (ICU‐21) | — | — | 2024‐10‐11 |
| Sample ID |
| Beses sequenced | Sequencing depth | Genome length (bp) | Number of scaffolds (chromosomes) | N50 | L50 | GC (%) | Complete BUSCOs |
|---|---|---|---|---|---|---|---|---|---|
| FUNED538 | 5,038,765 | 1,020,284,526 | 82 | 12,266,768 | 7 | 2,306,824 | 2 | 45.18 | 98.3 |
| FUNED558 | 7,076,859 | 1,300,586,893 | 106 | 12,228,794 | 7 | 2,320,025 | 2 | 45.12 | 98.5 |
| FUNED569 | 3,404,286 | 652,662,068 | 53 | 12,342,789 | 7 | 2,317,092 | 2 | 45.13 | 99.0 |
| FUNED575 | 5,493,388 | 1,025,455,581 | 83 | 12,332,892 | 7 | 2,316,038 | 2 | 45.12 | 99.0 |
| FUNED593 | 4,296,743 | 815,830,067 | 66 | 12,279,414 | 7 | 2,307,669 | 2 | 45.12 | 99.0 |
| FUNED596 | 4,563,919 | 873,120,734 | 70 | 12,327,528 | 7 | 2,315,396 | 2 | 45.12 | 99.0 |
| FUNED726 | 10,059,594 | 1,840,102,376 | 149 | 12,326,563 | 7 | 2,316,074 | 2 | 45.11 | 99.0 |
| FUNED727 | 8,052,864 | 1,520,151,176 | 123 | 12,336,396 | 7 | 2,315,903 | 2 | 45.12 | 99.0 |
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Taxonomy
TopicsAntifungal resistance and susceptibility · Fungal Infections and Studies · Antibiotic Resistance in Bacteria
Introduction
1
Candida auris (recently renamed to Candidozyma auris) is an emerging multidrug‐resistant (MDR) fungal pathogen that presents a significant challenge to global public health [1, 2, 3]. First identified in Japan in 2009, C. auris now circulates worldwide, raising concerns due to its resistance to antifungal treatments, high transmissibility and persistence in healthcare settings [1, 4, 5].
The evolutionary origin of this pathogen remains under active investigation. However, hypotheses suggest that C. auris may have emerged as a human pathogen due to global warming driven by anthropogenic factors, which favoured the development of thermotolerance and facilitated its transition from an environmental organism to a clinical pathogen [6, 7]. Additionally, the increasing number of immunocompromised individuals may contribute to the emergence and establishment of new fungal diseases [8].
Candida auris can cause invasive candidiasis, affecting the bloodstream (candidemia), heart, central nervous system, eyes, bones and various internal organs [9, 10]. It is particularly concerning due to its high mortality rates among vulnerable patients, with case fatality ranging from 29% to 53% [10]. Infections, especially candidemia, are often associated with prolonged hospital stays compared to those caused by other Candida species [10].
Candida auris can colonise patients without causing symptoms, commonly residing on the skin, as well as in areas such as the nostrils, oropharynx, rectum and other anatomical sites. Unlike most Candida species, which primarily inhabit the gastrointestinal tract, C. auris tends to favour the skin [11, 12, 13].
Circulating strains of C. auris have been classified into six genomic clades, named according to their geographic region of origin: Clade I (South Asian), Clade II (East Asian), Clade III (African), Clade IV (South American), Clade V (Iranian) and Clade VI (Indomalayan) [5, 14]. This classification is based on genomic divergence, assessed through single nucleotide polymorphism (SNP) analyses, antifungal susceptibility profiles and outbreak potential [2, 5, 14, 15].
Currently, there is no consolidated global surveillance system to track suspected or confirmed C. auris cases and related deaths across all countries. Due to limited data and the lack of comprehensive epidemiological studies, global annual incidence rates remain undetermined. Nonetheless, a growing number of cases has been reported worldwide, underscoring the expanding spread of this pathogen across diverse regions [5, 9].
The global rise in C. auris cases, together with its antifungal resistance and high outbreak potential, led the Pan American Health Organization (PAHO) and the World Health Organization (WHO) to include this fungus in the WHO Fungal Priority Pathogens List (2022), created to guide research, development and public health strategies. Classified in the Critical group, C. auris is recognised as a major global health threat [10, 16].
In Brazil, C. auris was first identified in December 2020 in Salvador, Bahia, in the Northeast region. The isolate was classified as Clade I and was susceptible to key antifungal agents, including amphotericin B, fluconazole, voriconazole and anidulafungin [17, 18, 19]. By late 2021, isolates from Clade IV were detected in the state of Pernambuco, which is also in the northeast region of Brazil, demonstrating susceptibility to amphotericin B, azoles and echinocandins [20, 21]. Since then, Pernambuco has experienced multiple outbreaks [20, 21]. In 2023, C. auris was additionally reported for the first time in the states of Rio de Janeiro and São Paulo, both located in the Southeast region of Brazil [22]. Despite these current knowledge, significant gaps remain in our understanding of the genomic diversity, transmission patterns and epidemiological dynamics of C. auris within Brazil.
In September 2024, C. auris was detected for the first time in a hospital in Belo Horizonte, Minas Gerais, Brazil. Preliminary evidence suggested a possible introduction from Colombia. In response to the emergence of this multidrug‐resistant pathogen, fungal genomic surveillance was promptly implemented at the Central Public Health Laboratory of Minas Gerais (Lacen‐MG), based at the Ezequiel Dias Foundation (Funed).
To investigate the origin and transmission dynamics of this event, we conducted genomic and epidemiological investigations of the C. auris isolates collected during this outbreak. Here, we report their detection and genomic characterisation through an integrated approach that combines epidemiological data, whole‐genome sequencing, phylogenetic analysis and the identification of resistance‐associated mutations. This strategy aimed to enhance our understanding of the emergence and regional spread of C. auris in Southeast Brazil.
Material and Methods
2
Sample Collection and Pathogen Identification
2.1
Clinical samples, including urine and swabs from the axillary and inguinal regions, were collected from patients admitted to the ICU with suspected C. auris infection or colonisation at a hospital in Belo Horizonte, Minas Gerais, Brazil (Table 1). Additionally, environmental swabs were collected from ICU equipment (beds and cables) to assess potential environmental dissemination. Samples were transported to Lacen‐MG in tubes containing Sabouraud Dextrose Broth, processed and plated onto Candida Plus chromogenic agar (Kasvi), followed by incubation for 72 h at 37°C. Colonies suspected to be C. auris were identified by Matrix‐Assisted Laser Desorption Ionisation Time‐of‐Flight (MALDI‐TOF) mass spectrometry (VITEK MS—BIOMÉRIEUX). To confirm the identification, DNA from C. auris colonies was extracted and subjected to quantitative PCR (qPCR), following the Centers for Disease Control and Prevention (CDC) protocol [23].
Patient Data
2.2
Patients with C. auris colonisation confirmed through MALDI‐TOF and qPCR had demographic data, including municipality and state of request for examination and hospitalisation, and additional information, such as sex, age and travel history assessed. These data were obtained from the epidemiological forms sent to Lacen‐MG and through the GAL system (Laboratory Environment Management), managed by the Ministry of Health of Brazil. Clinical data, including hospitalisation details, sample collection date, sample types and antifungal therapy, were retrieved from clinical records and the Secretaria de Estado de Saúde de Minas Gerais (SES‐MG). This study was approved by the research ethics committee of the Ezequiel Dias Foundation (CAAE: 85347524.5.0000.9507).
Whole‐Genome Sequencing
2.3
For fungal genomic surveillance at Lacen‐MG, DNA from eight C. auris isolates was subjected to WGS using the MiSeq (Illumina) and Ion Torrent PGM (Thermo Fisher Scientific) platforms. For Illumina sequencing, genomic DNA from seven C. auris samples was used for library preparation with the Illumina DNA Prep Kit (Illumina), following the manufacturer's protocol. The final library pool was loaded onto a MiSeq Reagent Kit v3 (600 cycles, 2 × 300 bp read length) and sequenced on a MiSeq system (Illumina) at a final concentration of 8 pM.
For Ion Torrent PGM sequencing, genomic DNA from one C. auris sample (FUNED538) was fragmented using the Ion Shear Plus Reagents Kit (Thermo Fisher Scientific). Then, fragmented DNA was used for library preparation with the NEBNext Fast DNA Library Prep Kit (NEB) and Ion Xpress Barcode Adapters 1–16 Kit (Thermo Fisher Scientific), according to the manufacturer's recommendations. Emulsion PCR was performed to amplify the library using the Ion PGM Hi‐Q View OT2 Kit (Thermo Fisher Scientific) on the Ion OneTouch 2 system (Thermo Fisher Scientific). Ion sphere particles were enriched using the Ion OneTouch ES system (Thermo Fisher Scientific) and subsequently sequenced on an Ion 318 chip with the Ion PGM Hi‐Q View Sequencing Kit on the Ion Torrent PGM platform (Thermo Fisher Scientific).
Genome Assembly and Quality Assessment
2.4
Raw sequencing data (FASTQ files) from the eight C. auris isolates obtained in this study were initially assessed for quality using FastQC (v0.12.1—github.com/s‐andrews/FastQC) and subsequently trimmed with Trimmomatic (v0.39—github.com/usadellab/Trimmomatic) to remove low‐quality bases and adapter sequences. Genome assembly was performed with the software SPAdes (v4.0.0) [24]. Misassemblies were corrected, and contigs were scaffolded using RagTag (v2.1.0—github.com/malonge/RagTag) with a reference C. auris genome (GCA_041381755.1) obtained from GenBank (NCBI). Assemblies were further polished with Pilon (v1.24). The quality and completeness of the assembled genomes were evaluated using QUAST (v5.2.0—github.com/ablab/quast) and BUSCO (v5.4.7—github.com/metashot/busco), respectively.
To conduct a comprehensive genomic surveillance study and include Clade IV genomes of C. auris isolates from Brazil, we retrieved raw sequencing data (FASTQ files) for six isolates associated with outbreaks in Recife, Pernambuco, during 2022 and 2023 [21]. These data were retrieved from BioProject ID PRJNA1055119 in the NCBI SRA database. The sequences were subjected to whole‐genome assembly using the same tools and analytical pipeline applied to the eight isolates obtained in this study from Minas Gerais.
Phylogenomic and SNP‐Based Analyses
2.5
To construct a phylogenetic tree, the BUSCO phylogenomics pipeline (github.com/jamiemcg/BUSCO_phylogenomics) was employed to align 978 single‐copy orthologous proteins from 150 publicly available C. auris genomes (Clades I–VI) retrieved from GenBank (NCBI) (Table S1), along with eight genomes sequenced in this study. IQ‐TREE (v2.3.6) was subsequently used to determine the best‐fitting evolutionary model and to infer the maximum likelihood phylogeny.
The software Parsnp (v1.2; github.com/marbl/parsnp) was used to perform core genome alignment, detect single nucleotide polymorphisms (SNPs), and generate a second phylogenetic tree based on all 158 C. auris genomes. Variants identified by Parsnp were exported as a VCF file using Gingr (v1.3) and analysed using R software to perform Principal Component Analysis (PCA) and generate a heatmap of SNP differences among Clade IV isolates. Only variants that passed the internal quality filters (FILTER = PASS) were retained to ensure reliable SNP calls.
Analysis of Resistance‐Associated Genes
2.6
To investigate antifungal resistance, the eight genomes generated in this study were analysed for mutations in key genes associated with resistance: ERG11 (encoding lanosterol 14 α‐demethylase), ERG6 (encoding sterol 24‐C‐methyltransferase), FKS1 (encoding 1,3‐beta‐glucan synthase), TAC1B (encoding a zinc‐cluster transcription factor) and ERG2 (encoding C‐8 sterol isomerase) [14, 21, 25]. Know missense mutations linked to antifungal resistance were identified using Blastn (NCBI) to locate target regions, MAFFT (v7.490) for sequence alignment and AliView for alignment inspection. Detected mutations were validated by mapping sequencing reads to the corresponding gene regions to assess the percentage of mapped reads, coverage and depth.
Results
3
Outbreak Detection and Early Investigation in Minas Gerais
3.1
The emergence of C. auris in Brazil was first documented in 2020 during the COVID‐19 pandemic, and the pathogen has since been detected in five Brazilian states (Figure 1a). Its occurrence in geographically distant regions suggests ongoing healthcare‐associated transmission and possibly multiple independent introductions. Within this national context, by late 2024 an outbreak was detected in Belo Horizonte, Minas Gerais, representing the first documented occurrence of C. auris in the state (Figure 1a).
Overview of the emergence of Candida auris in Belo Horizonte, Minas Gerais, Brazil. (A) Map of Brazil indicating reported C. auris cases and outbreaks from 2020 to 2024 across different states. (B) Timeline detailing the first C. auris cases identified in a hospital in Minas Gerais. Patient 1 was admitted on August 19, 2024, for an aortic dissection and transferred to ICU bed 21 on September 13. The patient was discharged from the ICU on September 16, and on September 17, a urine culture tested positive for C. auris . Patient 2, who had been hospitalised for 35 days following an accident in Santa Marta, Colombia, was admitted to the same hospital in Brazil on September 2, underwent surgery on September 3, and was also placed in ICU bed 21.
The initial case of C. auris in Minas Gerais was identified in a patient (Patient 1) admitted to the ICU of a public hospital in Belo Horizonte on August 19, 2024 (Table 1, Figure 1b). A clinical specimen collected on September 17, 2024, tested positive for C. auris by matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry (MALDI‐TOF MS) and qPCR. Routine active surveillance subsequently identified a second colonised patient on September 27, 2024 (Figure 1b).
In response, the hospital initiated an epidemiological investigation in collaboration with the Minas Gerais State Health Department (Secretaria de Estado de Saúde de Minas Gerais—SES‐MG) to elucidate the potential source and transmission dynamics. All colonised patients were male, aged 38–58, and hospitalised in the same ICU (Table 1).
Epidemiological mapping implicated ICU bed 21 as the likely focal point of C. auris spread (Figure 1b). Notably, this bed had been previously occupied by a patient (Patient 2) transferred from Santa Marta, Colombia, following hospitalisation in that country. This patient was admitted to the same hospital and assigned to bed 21 shortly before the admission of the first confirmed case (Patient 1), indicating a potential index patient and source of introduction.
On October 3 and 4, 2024, two additional ICU patients were confirmed positive for C. auris colonisation. Environmental sampling conducted on October 11, 2024, yielded positive results for C. auris on surfaces associated with bed 21, including monitoring cables, confirming environmental contamination and supporting the hypothesis of nosocomial transmission originating from this site. Notably, all cases reported in this study up to that point represented colonisation, with no invasive infections observed.
Whole‐Genome Characterisation of the Minas Gerais Isolates
3.2
Using WGS, we obtained complete genomes of clinical and environmental C. auris isolates from Minas Gerais (Table 2). The assembled genomes ranged from 12,228,794 to 12,342,789 bp, encompassing seven nuclear chromosomes and a complete mitochondrial genome, with completeness between 98.3% and 99% based on single‐copy ortholog analysis using BUSCO. Phylogenomic analysis based on 978 concatenated proteins placed all isolates from Minas Gerais within Clade IV, clustering closely with genomes from Colombia and Mexico (Figure 2). SNP‐based analysis further supported this placement, with all isolates grouped within their respective clades in both the SNP phylogenetic tree and PCA plot (Figures 3 and 4a).
Maximum likelihood phylogenetic tree based on 978 concatenated proteins from 158 Candida auris genomes, showing that isolates from Belo Horizonte cluster within clade IV. The tree was constructed using IQ‐TREE under the JTTDCMut+F + R3 model with 1000 bootstrap replicates. Enlarged clade and highlighted subclades indicate that Minas Gerais (MG) isolates cluster within clade IV and are clearly distinct from Pernambuco outbreak (PE) isolates.
Phylogenetic tree of 158 Candida auris genomes based on core genome alignment and SNP detection using Parsnp. The enlarged clade and highlighted subclades show that Minas Gerais (MG) isolates cluster within clade IV (South American) and are distinct from Pernambuco outbreak (PE) isolates. Support values are indicated for the major clades.
Genomic relationships among Candida auris isolates based on SNP data. (A) Principal Component Analysis (PCA) based on 269,514 SNPs from 158 genomes, showing genetic separation among clades. (B) Heatmap showing SNP differences among Clade IV isolates.
The SNP tree, generated from core‐genome alignment using Parsnp (Figure 3), confirmed the close relationship between Minas Gerais and Colombian isolates, suggesting a potential introduction into Belo Horizonte from Colombia. Notably, the genome from Patient 2 (FUNED558), who had a history of hospitalisation in Santa Marta, Colombia, appeared as an early branch within this cluster, indicating it may represent the index case. Retrospective data show that C. auris has been circulating in Santa Marta since at least 2012 [26]. Additionally, all Minas Gerais isolates carry amino acid substitutions in the ERG11 gene (K177R, N335S, E343D), consistent with Colombian strains [27]. It is noteworthy that the genome of isolate FUNED593 clustered separately from the other isolates from Minas Gerais in the SNP‐based phylogenetic tree, possibly reflecting the coexistence of distinct fungal subpopulations.
The genomes from Pernambuco formed a distinct monophyletic group (PE clade) in both protein‐ and SNP‐based phylogenetic trees (Figures 2 and 3), clearly separated from the Minas Gerais isolates (MG clade), with a bootstrap value of 1. These findings strongly support the hypothesis of an independent introduction event in Minas Gerais, unrelated to the Pernambuco outbreak.
Further exploration of the Clade IV cluster, based on core genome alignment and SNP difference analysis, revealed a high degree of genomic relatedness among the Minas Gerais isolates, encompassing both clinical and environmental samples (Figure 4b). Among them, isolate FUNED593 emerged as the most divergent, displaying a distinct SNP profile compared with isolate FUNED569, which had been collected from the same patient only 1 day earlier. Importantly, this analysis not only highlights the tight genomic relationship among Minas Gerais isolates but also underscores their clear genetic separation from those in Pernambuco, pointing to distinct evolutionary trajectories underlying the two C. auris outbreaks.
Genomic Analysis of Antifungal Resistance‐Associated Genes
3.3
Genomic analysis of all C. auris isolates in this study revealed the presence of a missense mutation in the ERG11 gene exclusively in the FUNED593 genome, obtained from Patient 3 (Figure 5). The identified mutation leads to a tyrosine‐to‐phenylalanine substitution at position 132 (Y132F) in Erg11p, an alteration well‐established as a mechanism of fluconazole resistance in C. auris and other Candida species (Figure 5) [28, 29]. Notably, this mutation was absent in a previous sample collected from the same patient just 1 day earlier.
Analysis of the ERG11 gene in isolate FUNED593 showing an A‐to‐T nucleotide substitution at position 395, resulting in a Y132F amino acid change (tyrosine to phenylalanine), associated with fluconazole resistance. This mutation was absent in the previous‐day sample (FUNED569) from the same patient. Read mapping of ERG11 showed 80× coverage at the mutation site in FUNED593, confirming its presence. Sequences were aligned against chromosome 3 (CP155136.1) of genome GCA_041381755.1 (Colombia, 2017).
Discussion
4
The first case of C. auris in Brazil was reported in December 2020, during the COVID‐19 pandemic, in Salvador, Bahia, with 15 cases and two associated deaths recorded that year (Figure 1a) [17, 22]. By the end of 2021, only one additional case was reported nationwide. However, by late 2021 and throughout 2022, an outbreak involving 48 cases emerged in Pernambuco, affecting two hospitals and accounting for a significant proportion of the country's cases [21, 22]. In 2023, Pernambuco reported 14 new cases across six hospitals, highlighting both the ongoing transmission and the pathogen's potential to cause multicentric outbreaks [22].
Also in 2023, C. auris was identified for the first time in Brazil's Southeastern region, with two cases in Rio de Janeiro and one in São Paulo, the latter involving a newborn (Figure 1a) [22]. In 2024, new cases were detected in Pernambuco (10 cases) and Bahia (1 case) [22]. By the end of that year, an outbreak was identified in Belo Horizonte, Minas Gerais (Figure 1a), marking the first known occurrence of the pathogen in the state.
In this study, we report for the first time the identification of C. auris in the city of Belo Horizonte, in the state of Minas Gerais, Brazil, and implemented genomic surveillance of pathogenic fungi to investigate and characterise the introduction of this etiological agent into the state. WGS of eight C. auris isolates from Minas Gerais revealed that all belonged to clade IV (South American), showing the greatest genomic similarity to isolates previously described in Colombia (Figures 2, 3, 4).
The integration of genomic, epidemiological, and clinical data supported the hypothesis that the emergence of the pathogen in Minas Gerais may be related to a patient with a history of prior hospitalisation in Santa Marta, a city located on the northern coast of Colombia (Figures 1, 2, 3). Although laboratory surveillance of C. auris in Colombia was officially implemented in 2016, retrospective analyses identified the presence of the fungus as early as 2012 in samples from Santa Marta [26].
This hypothesis is further supported by phylogenetic analyses, which showed that the C. auris genomes from Minas Gerais form a distinct cluster from those isolated in the state of Pernambuco (Figures 2, 3, 4). The Colombian genomes most closely related to the isolates from Minas Gerais were obtained from Cartagena, located on the northern coast of Colombia, and Valledupar, a city in northern Colombia. This geographic proximity reinforces the possible link between the introduction of the pathogen in Minas Gerais and the patient's prior hospitalisation in Santa Marta, also situated on Colombia's northern coast.
In Brazil, genomic surveillance of C. auris remains limited, as reflected by the small number of complete genomes available in public databases. Although the pathogen was first reported in the country in 2020, and 96 cases had been documented by December 2024, only one genome, derived from the initial outbreak and belonging to clade I (South Asian), had been deposited in the NCBI [17, 29]. In early 2025, raw WGS data from six isolates from Pernambuco became publicly available, allowing us to assemble these genomes using the same pipeline applied to the Minas Gerais isolates, thereby enabling consistent comparisons and robust phylogenetic inference [21]. However, outbreaks reported in other states, such as Rio de Janeiro and São Paulo, still lack available genomic data, which hinders broader and more effective genomic and epidemiological surveillance.
In this study, analysis of key genes relates to antifungal resistance (ERG11, TAC1B, ERG2, ERG6 and FKS1) across the eight genomes revealed a missense mutation in the ERG11 gene of an isolate from Patient 3 (FUNED593). This mutation consists of an adenine‐to‐thymine substitution at position 395, resulting in a tyrosine‐to‐phenylalanine substitution at amino acid position 132 (Y132F) (Figure 5). This mutation is well documented in the literature and associated with azole resistance [5, 25, 28, 30]. Interestingly, a sample collected the previous day (October 3, 2024) from the same patient (FUNED569) did not exhibit this mutation, suggesting either a pre‐existing mixed population or the recent emergence of the resistant variant.
To investigate this finding, we performed additional bioinformatic analyses, including read mapping of sample FUNED593 to the ERG11 gene sequence (Figure 5), to rule out sequencing or assembly errors. The results showed a sequencing coverage depth of 80× at the mutation site, with all mapped reads displaying the thymine (T) base, confirming the nucleotide substitution and ruling out technical error. This is the first report of the Y132F mutation in a Brazilian C. auris isolate. Notably, the patient was not receiving antifungal treatment at the time of sample collection, which at least directly excludes pharmacological selective pressure as a determining factor in the emergence of the mutation.
This finding raises the possibility of other, as‐yet‐unidentified selective pressures that may have contributed to the appearance of this mutation. It is important to note that the patient from whom the mutated isolate was obtained died, although the death was not attributed to C. auris infection. A limitation of this study, however, is the absence of antifungal susceptibility testing (AFST), which limits direct confirmation of the phenotypic impact of the Y132F mutation. Nevertheless, the genomic evidence presented here provides a strong indication of its potential role in fluconazole resistance.
SNP‐based phylogenetic tree and the pairwise SNP distance heatmap revealed that the genome of sample FUNED593 differs from both FUNED569 and the other isolates from Minas Gerais (Figures 3 and 4). FUNED593 also diverged from Colombian genomes (GCA041381755|2017 and GCA016772155|2016), all belonging to clade IV, as illustrated by the pairwise SNP distance heatmap (Figure 4). Notably, when compared to FUNED569, obtained from the same patient 1 day earlier, 46 SNPs were detected (Figure 4), suggesting a pre‐existing mixed fungal population.
As part of this study, environmental samples were also collected from the bed and monitor cables in the ICU where the outbreak occurred in Belo Horizonte. Genomic analysis of these isolates showed that they clustered with clinical isolates from the same outbreak, exhibiting low genetic divergence in phylogenetic trees based on single‐copy orthologous proteins and SNPs, as well as in the pairwise SNP distance heatmap (Figures 2, 3, 4). These results indicate likely transmission via contaminated ICU surfaces. The detection of C. auris on environmental surfaces such as beds and monitoring equipment highlights the critical role of environmental contamination in the persistence and dissemination of the pathogen in healthcare settings.
Conclusions
5
This study reports the first detection of C. auris in Belo Horizonte, Minas Gerais, likely introduced from Colombia, with genomic evidence supporting hospital‐based transmission. Phylogenomic analyses identified key genomic characteristics and emerging mutations linked to antifungal resistance. These findings reinforce the crucial role of genomic surveillance in tracking pathogen dissemination and resistance mechanisms, thereby informing timely and effective public health responses. They also demonstrate that C. auris colonisation alone can drive the rapid emergence of resistance mutations, underscoring the need for rigorous hospital monitoring and containment measures. Moreover, the open sharing of genomic data from local outbreaks is essential to strengthen ongoing surveillance efforts and to support future research aimed at the development of novel diagnostics, antifungal agents and therapeutic targets.
Author Contributions
Luiz Marcelo Ribeiro Tomé: conceptualisation, data curation, formal analysis, investigation, methodology, validation, visualisation, writing – original draft preparation and writing – review and editing. Dhian Renato Almeida Camargo: investigation and writing – review and editing. Rafael Wesley Bastos: formal analysis and writing – review and editing. Sara Cândida Ferreira dos Santos: data curation and writing – review and editing. Natália Rocha Guimarães: data curation, visualisation and writing – review and editing. Sílvia Helena Sousa Pietra Pedroso: data curation, visualisation and writing – review and editing. Paulo Eduardo de Souza da Silva: investigation and writing – review and editing. Aristóteles Góes‐Neto: resources and writing – review and editing. Lida Jouca de Assis Figueredo: investigation and writing – review and editing. Gabriella da Côrte Castro: investigation and writing – review and editing. Ana Maria Ribeiro Nunes Rodrigues: investigation and writing – review and editing. Flavia Ribeiro Soares Cruzeiro: investigation and writing – review and editing. Nádia Aparecida Campos Dutra: investigation and writing – review and editing. Josiane Barbosa Piedade Moura: investigation and writing – review and editing. Glauco de Carvalho Pereira: investigation and writing – review and editing. Carmem Dolores Faria: investigation and writing – review and editing. Marta Giovanetti: investigation and writing – review and editing. Felipe Campos de Melo Iani: investigation and writing – review and editing. Luiz Carlos Júnior Alcantara: resources and writing – review and editing. Talita Émile Ribeiro Adelino: formal analysis, investigation, methodology, validation, writing – review and editing.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Table S1: Accession numbers for C. auris genomes obtained from NCBI (Assembly/Genomes) and raw whole‐genome sequencing data obtained from the Sequence Read Archive (SRA), used for phylogenetic analyses, SNP analysis, clade assignment, and identification of antifungal resistance‐associated genes.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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