Systemic approach to virulence gene network analysis for gaining new insight into cryptococcal virulence

Antoni N. Malachowski, Mohamed Yosri, Goun Park, Yong Sun Bahn, Yongqun He, Michal A. Olszewski

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Cryptococcus neoformans is pathogenic yeast, responsible for highly lethal infections in compromised patients around the globe. C. neoformans typically initiates infections in mammalian lung tissue and subsequently disseminates to the central nervous system where it causes significant pathologies. Virulence genes of C. neoformans are being characterized at an increasing rate, however, we are far from a comprehensive understanding of their roles and genetic interactions. Some of these reported virulence genes are scattered throughout different databases, while others are not yet included. This study gathered and analyzed 150 reported virulence associated factors (VAFs) of C. neoformans. Using the web resource STRING database, our study identified different interactions between the total VAFs and those involved specifically in lung and brain infections and identified a new strain specific virulence gene, SHO1, involved in the mitogen-activated protein kinase signaling pathway. As predicted by our analysis, SHO1 expression enhanced C. neoformans virulence in a mouse model of pulmonary infection, contributing to enhanced non-protective immune Th2 bias and progressively enhancing fungal growth in the infected lungs. Sequence analysis indicated 77.4% (116) of total studied VAFs are soluble proteins, and 22.7% (34) are transmembrane proteins. Motifs involved in regulation and signaling such as protein kinases and transcription factors are highly enriched in Cryptococcus VAFs. Altogether, this study represents a pioneering effort in analysis of the virulence composite network of C. neoformans using a systems biology approach.

Original languageEnglish
Article number1652
JournalFrontiers in Microbiology
Volume7
Issue numberOCT
DOIs
Publication statusPublished - 2016 Oct 27

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Microbiology (medical)

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