Isolates of Cryptococcus neoformans, a fungal pathogen that kills over 112,000 people each year, differ from a 19-Mb reference genome at a few thousand up to almost a million DNA sequence positions. 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 sequence 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 that occurs in common laboratory strains and severely truncates the encoded phosphodiesterase. The resulting loss of phosphodiesterase activity significantly impacts virulence. Our studies demonstrate a powerful and unbiased strategy for identifying key genomic regions in the absence of prior information and provide significant sequence and strain resources to the community.
Unbiased discovery of natural sequence variants that influence fungal virulence.
无偏倚地发现影响真菌毒力的天然序列变异
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作者:Agustinho Daniel Paiva, Brown Holly Leanne, Chen Guohua, Gaylord Elizabeth Anne, Geddes-McAlister Jennifer, Brent Michael Richard, Doering Tamara Lea
| 期刊: | Cell Host & Microbe | 影响因子: | 18.700 |
| 时间: | 2023 | 起止号: | 2023 Nov 8; 31(11):1910-1920 |
| doi: | 10.1016/j.chom.2023.10.002 | 研究方向: | 微生物学 |
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