Literature DB >> 25114160

A multi-host approach for the systematic analysis of virulence factors in Cryptococcus neoformans.

Athanasios Desalermos1, Xiaojiang Tan1, Rajmohan Rajamuthiah1, Marios Arvanitis1, Yan Wang1, Dedong Li1, Themistoklis K Kourkoumpetis1, Beth Burgwyn Fuchs1, Eleftherios Mylonakis1.   

Abstract

A multi-host approach was followed to screen a library of 1201 signature-tagged deletion strains of Cryptococcus neoformans mutants to identify previously unknown virulence factors. The primary screen was performed using a Caenorhabditis elegans-C. neoformans infection assay. The hits among these strains were reconfirmed as less virulent than the wild type in the insect Galleria mellonella-C. neoformans infection assay. After this 2-stage screen, and to prioritize hits, we performed serial evaluations of the selected strains, using the C. elegans model. All hit strains identified through these studies were validated in a murine model of systemic cryptococcosis. Twelve strains were identified through a stepwise screening assay. Among them, 4 (CSN1201, SRE1, RDI1, and YLR243W) were previously discovered, providing proof of principle for this approach, while the role of the remaining 8 genes (CKS101, CNC5600, YOL003C, CND1850, MLH3, HAP502, MSL5, and CNA2580) were not previously described in cryptococcal virulence. The multi-host approach is an efficient method of studying the pathogenesis of C. neoformans. We used diverse model hosts, C. elegans, G. mellonella, and mice, with physiological differences and identified 12 genes associated with mammalian infection. Our approach may be suitable for large pathogenesis screens.
© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Caenorhabditis elegans; Cryptococcus neoformans; Galleria mellonella; model host; pathogenesis; virulence

Mesh:

Substances:

Year:  2014        PMID: 25114160      PMCID: PMC4342695          DOI: 10.1093/infdis/jiu441

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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