bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.02.03.703534

Global genomic epidemiology of Candida auris: analysis of 12,644 whole genome sequences from 1997-2024

Abstract

Candida auris is a critical priority fungal pathogen (World Health Organization) that has emerged into human populations pre-1996 from an unknown environmental reservoir. Genomic sequencing data has been used extensively in the last decade, leading to a largely unharnessed dataset with potential to unlock understanding of emerging fungal pathogen evolution. Here, we compiled publicly available Illumina paired-end whole genome sequences (WGS) for variant calling, supplemented by isolates from the worlds first four-clade single-facility outbreak in Algeria (n = 7), totaling 12,644 WGS. We describe the geographic, clinical, and temporal epidemiology of the outbreak across the globe between 1997 and 2024, indicating a conserved six-clade structure. Despite the evidence of earlier species diversity in low- and lower-middle income countries (LLMIC), the majority of WGS derived from high-income (12,035, 93.2%) and upper-middle-income countries (719, 5.57%), where cases are believed to be imported from endemic regions, with few from lower-middle-income countries (165, 1.28%) and none from lower-income countries. Copy number variation was present, including azole drug target ERG11, with seven isolates displaying ten to fifteen copies. Alarmingly, the standing variation of C. auris reveals emerging variation in hot-spots of the echinocandin drug target FKS1, which encodes a {beta}-1,3-glucan synthase. Eighteen emerging FKS1 hot-spot variants have not been detected or described in databases, and mostly occured in Northern America (57/61, 93.4%), where echinocandin monotherapy is standard treatment. Well-studied FKS1 variants known to cause resistance are significantly more common in clade I isolates derived from urine compared to blood, consistent with a role for the urinary niche as a low echinocandin concentration safe-haven for the development of resistance. The insights from this global genomic epidemiology survey of C. auris highlight sequencing inequality and detect ongoing genomic innovation in clinical settings, raising predictable and urgent concerns around the ongoing use of echinocandin monotherapy and potential emerging antifungal drug resistance-related genotypes in high-income settings.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Gifford, H., Helmstetter, N., Zerrouki, H., Wilson, D., Rhodes, J., Farrer, R. A.. 2026-02-04. Global genomic epidemiology of Candida auris: analysis of 12,644 whole genome sequences from 1997-2024. https://doi.org/10.64898/2026.02.03.703534

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

Beta-lactam enhancement against methicillin-resistant Staphylococcus aureus by cell wall blockade is autolysis-dependent: a butyrolactone derivative as case in point

Methicillin-resistant Staphylococcus aureus (MRSA) is non-susceptible to beta-lactams. Blockade of cell wall biosynthesis is a potential target for beta-lactam enhancement but requires further investigation. A butyrolactone derivative enhanced beta-lactams against MRSA strains by reducing the availability of D-Ala-D-Ala. Unlike D-cycloserine, it did not inhibit D-Ala-D-Ala ligase (Ddl). Nor did it show an additive or synergistic effect when combined with cycloserine, indicating a unique mechanism for blocking cell wall precursor production that does not involve the traditional Lipid II pathway. Notably, beta-lactam potentiation by our chemical or D-cycloserine was highly dependent on the intrinsic autolytic ability of the tested MRSA strains. Strains that resisted lysis upon Triton X-100 exposure showed a minimal increase in beta-lactam susceptibility, whereas highly autolytic strains showed significant changes in their beta-lactam MICs. We have thus identified autolytic ability as the Achilles Heel in the strategy of targeting cell wall biosynthesis for beta-lactam potentiation.

microbiology↗

Rapid and largely reversible shifts in the canine fecal metabolome during dietary change

Diet can rapidly change the fecal metabolome, but less is known about recovery after the original diet is restored. We used untargeted UPLC-MS metabolomics to analyze 72 fecal samples from nine Pumi dogs during an owner-managed switch from dry food to raw food and back to dry food. Diet phase accounted for a large proportion of variation in both ionization modes. More than 13,000 LC-MS features changed at the first sampling point after the switch to raw food, with a similarly large response after return to dry food. Among features significant in both comparisons, more than 99% changed in opposite directions. At the final sampling point, no positive-mode (ESI+) features and only 13 negative-mode (ESI-) features differed from the second dry-food baseline under the same threshold. BARF-associated patterns persisted in analyses excluding individual dogs and in pedigree-adjusted candidate models, although individual feature effects depended on normalization. Putative metabolites from several biochemical classes differed in their response and recovery. The fecal metabolome therefore changed rapidly and returned largely toward baseline, with differences among dogs.

microbiology↗