What is it about?
Candida albicans is a common fungus that can cause both harmless mucosal infections and severe, life-threatening systemic diseases in humans. As antifungal drugs are widely used, this fungus is evolving ways to survive treatments. In this study, we analyzed genomic data from hundreds of C. albicans isolates to map their population structure and discover how drug resistance-associated mutations vary across different genetic lineages. Our findings reveal that resistance doesn't develop uniformly; specific genetic backgrounds adapt in distinct ways. Understanding these lineage-specific evolutionary pathways is key to improving diagnostic tools and developing targeted therapies against resistant fungal infections.
Featured Image
Photo by National Institute of Allergy and Infectious Diseases on Unsplash
Why is it important?
Fungal infections pose ongoing clinical challenges, and understanding how Candida albicans adapts within populations is essential. This study integrates population genomics to explore the genetic diversity and lineage-specific features of C. albicans isolates. By mapping these genomic variations, our work provides a clearer picture of how different lineages evolve and adapt, offering valuable insights and genomic data to support future research in fungal biology, diagnostics, and surveillance.
Perspectives
As a researcher driven by the "why" behind species adaptation and infection dynamics, exploring the genomic landscape of Candida albicans allowed us to look deeper into the subtle genetic differences between lineages. Working with population-scale genomic data highlights how much there is still to discover about fungal evolution. We hope this work serves as a useful resource for fellow researchers investigating fungal pathogenesis, population genetics, and microbial evolution.
Mariana Fernandes
Universidade da Beira Interior
Read the Original
This page is a summary of: Lineage-specific adaptation and resistance in Candida albicans, Fungal Genetics and Biology, September 2026, Elsevier,
DOI: 10.1016/j.fgb.2026.104116.
You can read the full text:
Contributors
The following have contributed to this page
