Highlights

In brief

Whole genome sequencing of three Candida auris patient samples in Singapore reveal significant genetic differences from known clades, suggesting the emergence of a new clade with potentially unique transmission patterns.

© Shutterstock

Mapping an evolving fungal foe

23 May 2025

Scientists identify a new, distinct group of the deadly yeast Candida auris, and urge the expansion of global surveillance efforts.

A silent menace in hospitals worldwide, the yeast Candida auris causes difficult-to-treat, often fatal infections in patients with weakened immune systems. The World Health Organization has tagged C. auris as a high-priority pathogen, notorious for its resistance against rigorous decontamination measures and many antifungal drugs.

To date, researchers have identified five major C. auris clades: genetically-distinct clusters native to specific world regions, with each cluster having its own unique biochemical profiles, transmission pathways and treatment resistance features. Given this complexity, the best C. auris containment strategies rely on good surveillance protocols to trace the origins and spread of infectious strains.

At the A*STAR Genome Institute of Singapore (A*STAR GIS), Associate Director Niranjan Nagarajan, Scientist Chayaporn Suphavilai and PhD student Karrie Ko are among those keeping close tabs on C. auris strains found in Singaporean clinical settings.

“Monitoring clades can help ensure the early detection of new strains with potentially concerning traits, such as a worrying level of virulence or antifungal resistance,” said Suphavilai and Ko.

Three such cases from unrelated patients cropped up in Singapore between 2018 and 2023. These C. auris isolates showed unusual physical traits unlike those of known clades, such as differences in growth patterns, the optimal temperatures at which they survived, and their ability to break down certain chemicals.

Intrigued by such inconsistencies, the researchers wondered whether these samples might belong to a yet-unidentified clade. To investigate, they performed whole genome sequencing (WGS) on the fungal samples, examining small alterations in the DNA called single nucleotide polymorphisms (SNP).

They found that these strains showed differences ranging from 37,000 up to 236,900 SNPs compared with existing C. auris clades listed in global databases. Strikingly, they also responded well to all tested antifungal drugs.

“As the genetic makeup of these new isolates significantly differed from all known C. auris strains, they constitute a new sixth clade—clade VI—with unknown associations and risks,” said Suphavilai and Ko.

When the team examined WGS data from a C. auris isolate from Bangladesh, they found it also fell within clade VI, highlighting the need to further investigate the yeast’s genomic diversity in South and Southeast Asia.

“This discovery highlights C. auris’s dynamic and evolving nature,” Suphavilai and Ko said. “Studying more isolates will be critical to understanding its potential origins, transmission patterns and impact on vulnerable patient populations.”

As reliable prediction of novel threats requires large-scale, high quality genomic data, Suphavilai and Ko also stressed the importance of equipping low- and middle-income countries with the sequencing technologies, training initiatives and financial resources they needed to generate such data from their respective locales.

“Expanding and supporting genomic surveillance efforts in these regions is crucial to ensure the early detection of emerging threats and to safeguard global public health,” the researchers added.

The A*STAR-affiliated researchers contributing to this research are from the A*STAR Genome Institute of Singapore (A*STAR GIS).

Want to stay up to date with breakthroughs from A*STAR? Follow us on Twitter and LinkedIn!

References

Suphavilai, C., Ko, K.K.K., Lim, K.M., Tan, M.G., Boonsimma, P., et al. Detection and characterisation of a sixth Candida auris clade in Singapore: a genomic and phenotypic study. The Lancet Microbe 5 (9), 100878 (2024). | article

About the Researchers

Karrie Ko is a consultant pathologist in the Department of Microbiology and the Department of Molecular Pathology at Singapore General Hospital. She is also the Director of Genomics for the Pathology Academic Clinical Programme at Duke-NUS Medical School. Her work involves clinical diagnostics in bacteriology and molecular diagnostics for infectious diseases. Karrie is also a National Medical Research Council fellowship awardee and is currently working on her PhD degree under the supervision of Niranjan Nagarajan in the Laboratory of Metagenomic Technologies and Microbial Systems in the A*STAR Genome Institute of Singapore (A*STAR GIS).
Chayaporn Suphavilai is a Scientist at the Laboratory of Metagenomic Technologies and Microbial Systems in the Genome Institute of Singapore (GIS), A*STAR. She holds a PhD in Computer Science from the National University of Singapore where her thesis focused on machine learning models for precision medicine. Currently, she leads a multidisciplinary team in developing a microbial genomic analytics platform specifically designed for infectious disease diagnostics and surveillance.
View articles

Niranjan Nagarajan

Associate Director and Senior Group Leader

A*STAR Genome Institute of Singapore (A*STAR GIS)
Niranjan Nagarajan is an Associate Director and Senior Group Leader at the A*STAR Genome Institute of Singapore (A*STAR GIS). He is also an Associate Professor in the Department of Medicine and Department of Computer Science at the National University of Singapore. Nagarajan received a BA in Computer Science and Mathematics from Ohio Wesleyan University in 2000, and a PhD in Computer Science from Cornell University in 2006. He did his postdoctoral work at the Center for Bioinformatics and Computational Biology at the University of Maryland, working on problems in genome assembly and metagenomics. Currently, his research focuses on developing cutting-edge genome analytic tools and using them to study the role of microbial communities in human health. His team conducts research at the interface of genetics, computer science and microbiology, focusing on using a systems biology approach to understand host-microbiome-pathogen interactions in various disease conditions.

This article was made for A*STAR Research by Wildtype Media Group