Mechanistic insights into fungal pathogenicity and drug resistance using a novel lineage of Cryptococcus
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AI plain-English summaryA newly discovered strain of *Cryptococcus* from Zambia is both highly drug-resistant and surprisingly bad at causing disease, offering a natural experiment to unpick how this fungus kills over 130,000 people each year. The problem is stark: *Cryptococcus* causes more than 220,000 cases of meningitis and other infections annually, with mortality driven by the fungus’s ability to change shape, evade the immune system, and evolve resistance to the few available antifungal drugs. Current treatments are failing, and the genetic and epigenetic mechanisms behind these traits remain poorly understood. This project will compare gene activity across all known *Cryptococcus* lineages when they infect immune cells and when exposed to drugs, then build a gene deletion library from the new strain to test which genes control virulence and resistance in animal models. The researchers will also map how chromatin structure—the physical packaging of DNA—changes as the fungus shifts between its pathogenic and non-pathogenic forms. If successful, this work will identify specific molecular targets for new antifungal drugs and reveal how drug resistance emerges at the epigenetic level. The findings could ultimately inform better treatments for cryptococcal meningitis, a disease that kills roughly one in five of those infected.
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