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Unbiased discovery of natural sequence variants that influence fungal virulence

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE232437
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Isolates of Cryptococcus neoformans, a fungal pathogen that kills almost 200,000 people worldwide each year, differ at a few thousand up to almost a million DNA sequence positions compared to a 19-megabase reference genome. We used bulked segregant analysis and association analysis, genetic methods that require no prior knowledge of sequence function, to address the key question of which naturally occurring variants influence fungal virulence. We identified a region containing such variants, prioritized them, and engineered strains to test our findings in a mouse model of infection. At one locus we identified a 4-nt variant in the PDE2 gene, which severely truncates its phosphodiesterase product and significantly alters virulence. Our studies demonstrate a powerful and unbiased strategy for identifying key genomic regions in the absence of prior information, suggest revisions to our assumptions about cAMP levels and about common laboratory strains, and provide significant sequence and strain resources to the community. Comparative expression between KN99a and C8 strains of Cryptococcus neoformans before and after culture ifor 24 hours in RPMI + 10% mouse serum (37°C, 5% CO2).
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2024-01-22
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