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Journal of Fungi logoLink to Journal of Fungi
. 2021 Mar 23;7(3):240. doi: 10.3390/jof7030240

Genomic Epidemiology of Candida auris in Qatar Reveals Hospital Transmission Dynamics and a South Asian Origin

Husam Salah 1, Sathyavathi Sundararaju 2, Lamya Dalil 2, Sarah Salameh 3, Walid Al-Wali 4, Patrick Tang 2,5, Fatma Ben Abid 3,5, Clement K M Tsui 2,5,6,*
Editors: Jacques F Meis, Anuradha Chowdhary
PMCID: PMC8004815  PMID: 33807036

Abstract

Candida auris is an emerging, multidrug-resistant fungal pathogen that has become a public health threat with an increasing incidence of infections worldwide. Candida auris spreads easily among patients within and between hospitals. Infections and outbreaks caused by C. auris have been reported in the Middle East region including Oman, Kuwait, Saudi Arabia, and Qatar; however, the origin of these isolates is largely unknown. Pathogen whole genome sequencing (WGS) was used to determine the epidemiology and drug resistance mutations of C. auris in Qatar. Forty-four samples isolated from patients in three hospitals and the hospital environment were sequenced by Illumina NextSeq. Core genome single nucleotide polymorphisms (SNPs) revealed that all isolates belonged to the South Asian lineage with genetic heterogeneity that suggests previous acquisition from foreign healthcare. The genetic variability among the outbreak isolates in the two hospitals (A and B) was low. Four environmental isolates clustered with the related clinical isolates, and epidemiologically linked isolates clustered together, suggesting that the ongoing transmission of C. auris could be linked to infected/colonized patients and the hospital environment. Prominent mutations Y132F and K143R in ERG11 linked to increased fluconazole resistance were detected.

Keywords: candidiasis, candidemia, emerging infectious disease, Middle East, nosocomial outbreak

1. Introduction

Invasive candidiasis is of major public health importance because it is associated with increased mortality, higher healthcare costs, and longer hospital stays compared with other healthcare-associated infections [1]. This problem is compounded by the progressive increase in antifungal resistance among clinically relevant Candida spp. such as C. albicans, C. parapsilosis, C. glabrata, C. auris, and C. tropicalis driven by the widespread use of antifungal drugs in human healthcare [1,2].

Candida auris has become an emerging opportunistic pathogen, which was first reported in 2009 as an isolate from the external ear of an inpatient at a hospital in Japan [3]. It has since been identified as a cause of nosocomial bloodstream infections (BSI) in numerous countries in East Asia, the Middle East, Africa, the United States, and Europe [4,5,6,7,8,9]. Since C. auris is resistant to multiple classes of antifungal agents, able to tolerate temperatures up to 42 °C, and capable of person-to-person transmission and persistence in the hospital environment [10], this easily transmitted and difficult-to-treat yeast has caused outbreaks in many hospitals [11,12].

Whole genome sequencing (WGS) has revealed the presence of five genetic clusters (South Asia, East Asia, Iran, Africa, and South America), which correspond to the geographic distribution [11,13]. The genetic divergence among lineages is large (>1000 single nucleotide polymorphisms (SNPs)), but the intra-lineage variation is small [6]. Candida auris has been reported in the Middle East region including Oman, Saudi Arabia, Iran, the UAE, and Kuwait [14,15,16,17,18,19]. Local infections in Qatar have also been reported recently; however, the origin, transmission, and genetic relationships among the isolates were not completely resolved using pulsed-field gel electrophoresis (PFGE) [20]. The underlying genetic mechanisms conferring resistance have also not been characterized. Herein, we use WGS data to determine the possible routes of transmission in Qatar and infer the genetic origins of these isolates in a global context. Mutations related to reduced susceptibility to azoles, amphotericin B, and echinocandins were also characterized from the genomes.

2. Materials and Methods

2.1. Isolation and Antifungal Susceptibility Assays

Candida auris was recovered from specimens collected at three tertiary care hospitals in Doha, Qatar, between 1 April 2018 and 30 November 2020. Clinical specimens were processed according to laboratory standard operative protocol at each microbiology laboratory. Candida auris from blood, urine, pleural fluids samples, as well as specimens for C. auris screening (axilla, groin, nasal swabs, and environment) were inoculated on chromogenic agar Candida (Oxoid, UK) and incubated at 42 °C for five days. Any colonies other than green and blue were identified by MALDI-TOF (Bruker Daltonics, Germany) according to the manufacturer’s protocol of partial extraction.

Antifungal susceptibility patterns were determined on selected clinical and screening isolates using the sensititre YeastOne microdilution method (TREK Diagnostic Systems, Cleveland, OH, USA) following the manufacturer’s instructions.

2.2. DNA Extraction and Whole Genome Sequencing

Candida auris isolates were streaked on Sabouraud Dextrose Agar (SDA) plates to ensure purity. Genomic DNA was extracted using MasterPure Yeast DNA purification kit (Lucigen Corporation, WI). DNA concentration was measured using Qubit 2 fluorometer (ThermoFisher) and DNA libraries were constructed with a Nextera XT DNA library preparation method (Illumina Inc., San Diego, California, USA) and then sequenced on Illumina NextSeq 550 platform (Illumina Inc.) with 300 cycles (150bp PE) or Illumina Miseq (600 cycles, 300bp PE) at the Integrated Genomics Services Laboratory at Sidra Medicine, Qatar.

2.3. Data Analysis

The quality of reads was assessed by Fastqc (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). The sequence read was trimmed by Trim Galore v0.6.0 (http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/), assembled de novo using SPAdes v.3.9.0, and assessed using QUAST v5.0.2. [21,22]. Contigs of smaller size (<1000 bp) were excluded. Parsnp v1 [23] was used to infer the genetic relationships among the samples using C. auris samples from South Asia (assembly accession no. GCA_002759435.2), East Asia (assembly accession no. GCA_003013715.2), Iran (assembly accession no. GCA_016809505.1), South Africa (assembly accession no. GCA_002775015.1), and South America (assembly accession no. GCA_008275145.1). Single nucleotide polymorphism (SNP) analysis was performed using Snippy v4.41 pipeline (https://github.com/tseemann/snippy) using C. auris strain B8411 (GenBank accession no. GCA_002759435.2) as the reference genome. Briefly, quality trimmed reads were mapped to the reference genome using BWA v7.17 [24], and the variants were called using samtools v1.9 [25] and Freebayes v1.3 (https://github.com/freebayes/freebayes) with QUAL >30 and DP >10. FastTree (http://meta.microbesonline.org/fasttree/) was used to perform the phylogenetic analysis among samples constructed from the SNPs data. The tree was visualized with Microreact [26]. Mutations in ERG11, TAC1b, FKS1, and ORFs [B9J08_00281, B9J08_003025, B9J08_003346] adjacent to ERG2 linked to azole, echinocandin, and amphotericin B resistance, respectively [27,28,29] were retrieved from genome assemblies and examined through comparative genomics and sequence analysis using MEGA X [30].

3. Results

3.1. Genomic Epidemiology

We sequenced a total of 44 Candida auris genomes, of which 40 were from humans and four were from the hospital environment. These isolates were from 36 patients, 13 from Hospital A, 22 from Hospital B, and 1 from Hospital C (Table 1). Three isolates were from invasive infections, while thirty-seven isolates were colonizers. Sequencing using the Illumina system generated 5139210 to 39112452 high-quality reads in each sample: sequencing depth ranged from 54 to 262 (median = 89) (Supplementary Materials Table S1).

Table 1.

Clinical epidemiology of the Candida auris isolates.

Patient Number Isolate Code Date of Isolation Specimen Hospital Unit Nationality Transfer between Hospitals in Qatar Admission to Hospital Abroad (within 6 Months)
1 CAS20 12-May-18 Urine B Medical ward Omani no Yes (Oman)
2 CAS1 21-Dec-18 ETT a A ICU b Pakistani no no
3 CAS2 27-Feb-19 Wound swab A ICU Qatari no no
4 CAS3 17-Mar-19 Wound swab A ICU Qatari no no
5 CAS4 26-Jun-19 Nasal swab A ICU Indian no no
6 CAS5 09-Jun-19 Nasal swab A High dependency unit Palestinian no no
7 CAS6 18-Jun-19 Nasal swab A ICU Filipino B/A no
8 CAS7 18-Jun-19 Screening swab c A Medical ward Qatari A/B no
9 CAS8 28-Jun-19 Skin swab A Medical ward Qatari no no
10 CAS9 28-Jun-19 Nasal swab A Medical ward Qatari no no
11 CAS10 28-Jun-19 Nasal swab A Medical ward Pakistani no no
12 CAS11 02-Jul-19 Skin swab A LTCU d Nepalese A/LTCU * no
13 CAS12 11-Jul-19 Screening swab A Medical ward Indian no no
14 CAS13 30-Jul-19 Groin swab A Medical ward Qatari A/B no
15 CAS16 04-Aug-19 Urine B Cardiac ICU Palestinian no no
16 CAS23 01-Sep-19 Groin swab B Medical ward Qatari no no
17 CAS32 09-Sep-19 Urine B Surgical ward Qatari B/A no
17 CAS15 14-Sep-19 Urine B Surgical ward Qatari B/A no
18 CAS14 04-Jan-20 ETT B Medical ward Qatari no no
(18) CAS24 15-Jan-20 Bedside table (patient 18) B ICU (203-1) N/A N/A N/A
19 CAS18 08-Jan-20 Nasal swab B ICU Qatari no no
20 CAS21 08-Jan-20 Groin swab B Medical ward Qatari no no
21 CAS19 09-Jan-20 Axilla swab B ICU Syrian no Yes (Syria)
22 CAS26 20-Feb-20 BAL e B ICU Nepalese no no
22 CAS33 20-Feb-20 Pleural fluid B ICU Nepalese no no
23 CAS25 24-Feb-20 Pus B LTCU Qatari no no
24 CAS27 17-Mar-20 Blood B Medical ward Indian no no
25 CAS34 17-Jun-20 Blood B ICU Bangladeshi no no
26 CAS40 08-Jul-20 Axilla swab B Medical ward Qatari no no
27 CAS50 20-Jul-20 Nasal swab B LTCU Indian no no
28 CAS41 18-Aug-20 Urine B Medical ward Palestinian no no
29 CAS52 25-Aug-20 Nasal swab B LTCU Qatari no no
30 CAS17 28-Aug-20 Axilla swab B Medical ward Qatari no no
31 CAS42 14-Sep-20 Groin swab B Medical ward Omani no no
(31) CAS47 16-Sep-20 Bed (patient 31) B Medical ward N/A N/A N/A
(31) CAS48 16-Sep-20 Couch (patient 31) B Medical ward N/A N/A N/A
(31) CAS49 16-Sep-20 Cabinet (patient 31) B Medical ward N/A N/A N/A
32 CAS43 14-Sep-20 Axilla swab B Medical ward Iranian no no
33 CAS51 14-Sep-20 Axilla swab B LTCU Qatari no no
34 CAS45 14-Oct-20 Groin swab B LTCU Qatari no no
35 CAS46 02-Nov-20 Axilla swab B Medical ward Indian Home care/B no
36 CAS20044 12-May-20 BAL C Oncology ward Sudanese no Yes (Sudan, India)
36 CAS3357 20-May-20 Screening swab C Oncology ward Sudanese no Yes (Sudan, India)
36 CAS29 17-Jun-20 Tracheal aspirate C Oncology ward Sudanese no Yes (Sudan, India)

a Endotracheal tube aspirate, b Intensive care unit, c Axilla, groin, or nasal swab, d Long-term care unit, e Bronchoalveolar lavage, * LTCU: Long term care unit.

Whole genome sequence data using core genome SNPs indicated that all isolates belonged to the South Asian lineage (Figure S1). The high-resolution SNP tree revealed a small level of genetic heterogeneity among the isolates (Figure 1). Thirty-seven isolates from two tertiary care hospitals (A and B) including both human and environmental samples in various medical wards and ICUs collected from 2018 to 2020 clustered in one major clade, which could be the predominant “circulating clone”, while three isolates (CAS29, CAS20044, and CAS3357) from one patient in Hospital C clustered separately. Four other isolates (CAS20, CAS12, CAS16, CAS17) from Hospitals A and B also diverged from the major clade. CAS20 represented the first reported case in Qatar: the patient had received healthcare in Oman, and the sequence was divergent from the outbreak samples in Hospitals A and B. The remaining three divergent isolates (CAS12, 16, and 17) were from patients without recent travel histories, while CAS12 was from a patient who was transferred from a long-term care unit within the state of Qatar, indicating that the hospital/community may harbor additional circulating C. auris strain from the South Asian lineage, apart from the predominant outbreak clone.

Figure 1.

Figure 1

Genetic relationships of the 44 Candida auris isolates. Comparison of all Qatar isolates based on high-resolution variants. The color blocks highlight the year of isolation, environmental isolates, and hospital transfer.

Within the major clade containing 33 patients from both outbreaks and sporadic samples, the genetic difference was very small (range from 0 to 19 bp, median = 5bp); the results of only five pairwise comparisons were above 15 bp. The variations among the isolates from the same patient on different occasions in Hospital C were also small (<5 bp). Four environmental samples were 100% identical to the respective clinical isolates (Figure 1). The high degree of sequence similarity among isolates within and between Hospitals A and B supports the report of a widespread C. auris outbreak in Qatar. Although the SNP tree suggests the presence of subclades within the major clade, these clades do not have strong statistical support, and the SNP variation was small. Of the patients reviewed, three had visited or come from a foreign country (Oman, Syria, Sudan, or India) (Table 1). Six patients had been transferred to and from different hospitals and home care units (Table 1, Figure 1).

3.2. Antifungal Susceptibility

Currently, there are no established susceptibility breakpoints for C. auris. Antifungal susceptibilities were determined for 11 isolates (selected based on clinical significance and the hospital), and their minimum inhibitory concentrations (MIC) were interpreted according to the Center for Disease Control (CDC) tentative breakpoints (https://www.cdc.gov/fungal/candida-auris/c-auris-antifungal.html (accessed on 26 January 2021)). The MICs to fluconazole were above the breakpoints for all isolates (≥32 mg/L) according to the guidelines, and three isolates had elevated MICs to more than one azole drug (Table 2). Ten isolates had elevated MICs to amphotericin B (MIC = 2 mg/L), while one isolate (CAS12) exhibited a high MIC to caspofungin (MIC = 8 mg/L) (Table 2).

Table 2.

In vitro susceptibility to nine antifungal agents and ERG11 mutations in selected C. auris isolates. Elevated minimum inhibitory concentration (MIC) values are bold. AMB = amphotericin B; 5FC = flucytosine, CAS = caspofungin, FLC = fluconazole, ITC = itraconazole, VOR = voriconazole, POS = posaconazole, ANI = anidulafungin, and MICA = micafungin.

Isolate FLC ITC POS VOR AMB 5FC CAS ANI MICA ERG11 Mutations
CAS12 256 0.25 0.12 1 1 0.12 8 0.5 0.5 Y132F
CAS14 32 0.06 0.03 0.12 2 0.06 0.25 0.25 0.12 Y132F
CAS16 128 0.5 0.25 8 2 0.06 0.5 0.5 0.5 Y132F
CAS17 128 0.25 0.12 1 2 0.06 0.12 0.25 0.12 K143R
CAS20 256 0.5 0.25 2 4 0.12 0.25 0.12 0.12 K143R
CAS25 128 16 8 8 2 0.12 0.5 0.25 0.12 Y132F
CAS27 64 0.25 1 1 2 0.12 0.5 0.25 0.12 Y132F
CAS33 128 0.12 0.12 8 2 0.06 0.5 0.25 0.25 Y132F
CAS34 128 0.12 0.03 0.25 2 0.06 0.25 0.12 0.12 Y132F
CAS41 32 0.06 0.015 0.12 2 0.06 0.06 0.12 0.06 Y132F
CAS20044 128 0.12 0.06 0.5 2 0.12 0.25 0.12 0.12 Y132F

Mutations in ERG11 and TAC1B that were associated with reduced susceptibility to fluconazole were examined from all the genome assemblies; 42 isolates carried Y132F mutations, while two isolates (CAS17 and CAS20) had substitution K143R (Table 2). CAS17 and CAS20 also possessed mutation A640V in TAC1B. All isolates had substitutions R252T and I44F in B9J08_003025 [ERG24] and B9J08_003346 [ERG29], respectively, which may be associated with amphotericin B resistance [28], while mutation G145D in B9J08_00281 [ERG28] was not identified. FKS1 S639F mutation associated with echinocandin resistance was not detected.

4. Discussion

All Candida auris isolates in Qatar belong to the South Asian lineage, which is similar to isolates identified in Saudi Arabia and Oman [14,16]. The largest proportion of the expatriate populations in Qatar and other Gulf Cooperation Council countries is from the Indian subcontinent. The fungal pathogen may have been introduced through carriage within the expatriate workforce or residents who are seeking medical care in the Indian subcontinent. However, there were no isolates belonging to the African lineage despite many workers being from Africa. For the isolates that were genetically different from the other outbreak-related isolates, one patient received hospital care in Oman, and another patient had healthcare exposure in Sudan and India. The results also underscore the potential role of international travel between countries as a mode of C. auris dissemination and colonization [6,31].

Our study confirmed the high level of clonality among the C. auris outbreak isolates [6,7], as the pairwise SNP differences was small (1–19 bp, median = 5) among 37 isolates from two major tertiary hospitals. Additionally, 12 of 13 isolates from Hospital A collected in 2019 clustered with three isolates from Hospital B collected in 2019 and 2020. The clustering of these isolates between the two hospitals suggests that patients transferred between facilities could also be a source of transmission. Chow et al. proposed a genetic distance of < 12 between patients as an indication of recent transmission [6]. The presence of several subclades within the largest clade may indicate continued pathogen microevolution during the ongoing local outbreak. Intra-host variation such as (CAS25 and CAS32) may also indicate microevolution.

Environmental screening as part of the outbreak analysis confirmed the presence of C. auris in the hospital environment, and the genetic relatedness of clinical and environmental samples indicates possible cross-transmission between patients and the hospital environment by patients and vice versa. C. auris is well known for its capability to survive and persist in the healthcare settings [32] and cause ongoing transmission within the hospital environment [4,17,33]. Once C. auris is disseminated in the hospital environment, it is difficult to eradicate, and hospital contamination has been reported in many countries including the USA, India, Colombia, and the UK [4,34,35,36]. Most patients did not travel outside Qatar in the past 6 months before infection, suggesting that the healthcare facilities could be the reservoir of this pathogen, and the cases were acquired from within the country. Our findings are consistent with other reports that patients who are hospitalized in the ICU, critically ill, or have undergone surgery are at greater risk of colonization and infections [12].

Despite a high degree of clonality, we identified genetic polymorphism among the isolates within the South Asian lineage. Four clinical isolates were more divergent than the 37 samples clustered in the major clade, implying other unsampled chains of transmission; C. auris not belonging to the predominant circulating clone may be carried/colonized by asymptomatic patients and resident in the community. Whole genome comparison indicated that these samples were more similar to other C. auris samples from India, Pakistan, and Saudi Arabia (personal communications). Intra-lineage variation in the South Indian lineage has also been demonstrated in Saudi Arabia and Oman using short tandem repeat (STR) typing techniques and WGS [6,14,37]. This variation could also reflect the ongoing microevolution and adaptation in the clinical and natural environment [38].

Candida auris is a significant challenge to healthcare in Qatar and elsewhere because it is multidrug resistant. All the local isolates were resistant to fluconazole, which was largely due to either T312F or K143R mutations in ERG11, and A640V in TAC1b, which are common in the South Asian isolates [27,39]. ERG11 encodes the cytochrome P450 lanosterol 14α-demethylase targeted by the azoles, while TAC1b encodes a transcription factor that can regulate the expression of CDR1, an ATP-binding cassette (ABC)-type efflux pump-encoding gene [27]. Three isolates were resistant to other azoles, which was possibly due to the increased copy number of ERG11, gene duplication, and transporter gene family expansion [38]. Most C. auris isolates also had reduced susceptibility to amphotericin B, despite the absence of substitution G145D in B9J08_00281 [ERG28] [28]. The differential expression of ERG families and mutations in certain genes may contribute to the increased resistance [28,38]; however, the mechanism of amphotericin B resistance in C. auris is not completely understood. Although no mutation was detected in FKS1, which encodes the subunits of 1,3-beta-D-glucan synthase in the fungal cell wall targeted by the echinocandins [29,39], one isolate was resistant to caspofungin. Several isolates were resistant to at least two classes of antifungals [20], thus limiting treatment options. One of the limitations in this study was that an antifungal susceptibility test was not performed by a reference method (i.e., Clinical & Laboratory Standards Institute (CLSI) or European Committee on Antimicrobial Susceptibility Testing (EUCAST)). Additional work will be required to investigate the mechanisms of drug resistance, to identify the candidate mutations and genes, and to determine the virulence of these C. auris isolates. More investigations are ongoing to determine the optimal management and control of C. auris infections in Qatar.

Acknowledgments

We thank Jacques Meis (Canisius Wilhelmina Hospital, The Netherlands), Anastasia Litvintseva (US Center for Disease Control, USA), Johanna Rhodes (Imperial College London, UK), Mohammad Rubayet Hasan and Andres Perez-Lopez (Department of Pathology, Sidra Medicine) for advice and helpful discussion. We acknowledge Sanjay Doiphode, Emad Bashier Ibrahim, all the staff and healthcare workers in three tertiary hospitals for their dedicated work. The staff in Integrated Genomics Services team at Sidra Medicine, and Will Hsiao and Jun Duan (BCCDC Public Health Laboratory, Canada) are thanked for technical support in WGS and bioinformatics analysis.

Supplementary Materials

The following are available online at https://www.mdpi.com/2309-608X/7/3/240/s1, Figure S1: Comparison of all C. auris isolates to the global reference isolates using core genome SNPs by Parsnp, Table S1: Sequencing statistics and other information.

Author Contributions

Conceptualization, W.A.-W., P.T., F.B.A. and C.K.M.T.; methodology, H.S., S.S. (Sathyavathi Sundararaju), L.D.; formal analysis, H.S., C.K.M.T.; investigation, H.S., S.S. (Sathyavathi Sundararaju), P.T., F.B.A., C.K.M.T.; resources, S.S. (Sarah Salameh),W.A.-W.; data curation, H.S., C.K.M.T.; writing—original draft preparation, H.S., C.K.M.T.; writing—review and editing, H.S., P.T., F.B.A., C.K.M.T.; supervision, F.B.A., C.K.M.T.; project administration, F.B.A., C.K.M.T.; funding acquisition, F.B.A.,C.K.M.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Sidra Medicine Internal grant SDR_200052 to C.K.M.T. and the Medical Research Centre at Hamad Medical Corporation grant MRC-01019-420 to F.B.A.

Institutional Review Board Statement

The study was approved by the Institutional Review Board of Sidra Medicine (2019-0009, 15 December 2019).

Data Availability Statement

The raw sequencing reads are available from the National Center for Biotechnology Information (NCBI) under the accession number PRJNA693430.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

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

Supplementary Materials

Data Availability Statement

The raw sequencing reads are available from the National Center for Biotechnology Information (NCBI) under the accession number PRJNA693430.


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