RNAi-Based Functional Genomics Identifies New Virulence Determinants in Mucormycosis.
Journal Article (Journal Article)
Mucorales are an emerging group of human pathogens that are responsible for the lethal disease mucormycosis. Unfortunately, functional studies on the genetic factors behind the virulence of these organisms are hampered by their limited genetic tractability, since they are reluctant to classical genetic tools like transposable elements or gene mapping. Here, we describe an RNAi-based functional genomic platform that allows the identification of new virulence factors through a forward genetic approach firstly described in Mucorales. This platform contains a whole-genome collection of Mucor circinelloides silenced transformants that presented a broad assortment of phenotypes related to the main physiological processes in fungi, including virulence, hyphae morphology, mycelial and yeast growth, carotenogenesis and asexual sporulation. Selection of transformants with reduced virulence allowed the identification of mcplD, which encodes a Phospholipase D, and mcmyo5, encoding a probably essential cargo transporter of the Myosin V family, as required for a fully virulent phenotype of M. circinelloides. Knock-out mutants for those genes showed reduced virulence in both Galleria mellonella and Mus musculus models, probably due to a delayed germination and polarized growth within macrophages. This study provides a robust approach to study virulence in Mucorales and as a proof of concept identified new virulence determinants in M. circinelloides that could represent promising targets for future antifungal therapies.
Full Text
Duke Authors
Cited Authors
- Trieu, TA; Navarro-Mendoza, MI; Pérez-Arques, C; Sanchis, M; Capilla, J; Navarro-Rodriguez, P; Lopez-Fernandez, L; Torres-Martínez, S; Garre, V; Ruiz-Vázquez, RM; Nicolás, FE
Published Date
- January 2017
Published In
Volume / Issue
- 13 / 1
Start / End Page
- e1006150 -
PubMed ID
- 28107502
Pubmed Central ID
- PMC5287474
Electronic International Standard Serial Number (EISSN)
- 1553-7374
International Standard Serial Number (ISSN)
- 1553-7366
Digital Object Identifier (DOI)
- 10.1371/journal.ppat.1006150
Language
- eng