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DOI 10.1101/2024.10.22.619677

Медицинская библиотека · bioRxiv : the preprint server for biology · 2024

Phenotypic landscape of a fungal meningitis pathogen reveals its unique biology.

Boucher Michael J, Banerjee Sanjita, Joshi Meenakshi B, Wei Angela L, Huang Manning Y, Lei Susan, Ciranni Massimiliano, Condon Andrew, Langen Andreas, Goddard Thomas D, Caradonna Ippolito, Goranov Alexi I, Homer Christina M, Mortensen Yassaman, Petnic Sarah, Reilly Morgann C, Xiong Ying, Susa Katherine J, Pastore Vito Paolo, Zaro Balyn W, Madhani Hiten D

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Аннотация

Cryptococcus neoformans is the most common cause of fungal meningitis and the top-ranked W.H.O. priority fungal pathogen. Only distantly related to model fungi, C. neoformans is also a powerful experimental system for exploring conserved eukaryotic mechanisms lost from specialist model yeast lineages. To decipher its biology globally, we constructed 4328 gene deletions and measured-with exceptional precision--the fitness of each mutant under 141 diverse growth-limiting in vitro conditions and during murine infection. We defined functional modules by clustering genes based on their phenotypic signatures. In-depth studies leveraged these data in two ways. First, we defined and investigated new components of key signaling pathways, which revealed animal-like pathways/components not predicted from studies of model yeasts. Second, we identified environmental adaptation mechanisms repurposed to promote mammalian virulence by C. neoformans, which lacks a known animal reservoir. Our work provides an unprecedented resource for deciphering a deadly human pathogen.

Для цитирования: Boucher Michael J, Banerjee Sanjita, Joshi Meenakshi B, Wei Angela L, Huang Manning Y, Lei Susan, Ciranni Massimiliano, Condon Andrew, Langen Andreas, Goddard Thomas D, Caradonna Ippolito, Goranov Alexi I, Homer Christina M, Mortensen Yassaman, Petnic Sarah, Reilly Morgann C, Xiong Ying, Susa Katherine J, Pastore Vito Paolo, Zaro Balyn W, Madhani Hiten D. Phenotypic landscape of a fungal meningitis pathogen reveals its unique biology.. bioRxiv : the preprint server for biology. 2024. DOI: 10.1101/2024.10.22.619677.
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