Authors
Mariana Zagalo Fernandes, Emanuel Maldonado, José de Martinez Oliveira, Joana Rolo, Ana de Palmeira Oliveira
Published in
Fungal genetics and biology : FG & B. Pages 104116. Sep 03, 2026. Epub Sep 03, 2026.
Abstract
Candida albicans exhibits substantial phenotypic and ecological diversity; however, the exact relationship between its population structure, adaptation to specific niches, and antifungal resistance remains incompletely understood. To investigate these evolutionary dynamics, we analyzed the whole-genome sequences from 591 publicly available isolates, integrating nuclear and mitochondrial phylogenomics with ecological and resistance-associated genomic analyses. Phylogenomic analyses resolved 18 core nuclear clusters together with multiple admixed lineages. Strong cytonuclear concordance was noted in the majority of the central lineages, contrasting with a higher discordance among the admixed groups, consistent with recurrent genetic exchange. The analysis revealed that geographic origin explains a larger fraction of genetic variance than anatomical niche, supporting a predominantly generalist population structure. A notable exception was Cluster N16 (Candida africana), which presented a strict genital origin in our dataset (n = 34). Additionally, although the mitochondrial genome exhibits strong purifying selection, candidate residues under diversifying selection correlated with specific niches (e.g., bloodstream) have been identified. Analysis of five resistance-associated genes (ERG11, UPC2, FKS1, TAC1 and FUR1) revealed that resistance-associated variants were generally rare but exhibited distinct gene-specific patterns. In case of ERG11 and FUR1 they were concentrated in a specific clade (N11, N17, and their admixed Group A) and exhibit gene-dependent zygosity patterns. In summary, the evolution of C. albicans appears to be driven by a predominantly clonal model punctuated by episodic genetic exchange, where both ecological adaptation and antifungal resistance mutations exhibit genomic signatures marked by lineage specificity.
PMID:
42692284
Bibliographic data and abstract were imported from PubMed on 04 Sep 2026.
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