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3 Systems Biology Approaches to Understanding and Predicting Fungal Virulence

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Human Fungal Pathogens

Part of the book series: The Mycota ((MYCOTA,volume 12))

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Abstract

The identification of fungal virulence factors and novel targets for therapeutic intervention are hindered by the rapid adaptability of pathogenic fungi to their host. One of the major goals of systems biology (SysBio) is to investigate the molecular wiring and dynamics in biological networks, as well as to identify and predict emerging properties of systems. Recent advances in SysBio approaches have paved the way for deciphering host–pathogen interaction complexity and the identification of microbial virulence factors. In this chapter, we discuss SysBio-based methods and milestones in the investigation of fungal virulence, emphasizing computational and modeling-based approaches in the Candida and Saccharomyces genera. We describe the applicability of each method to specific experimental questions using numerous case examples, and critically discuss current gaps and pitfalls in the analysis of SysBio data sets.

Lanay Tierney and Katarzyna Tyc contributed equally.

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Acknowledgments

Work on systems biology in the KK group has been supported by a grant from the Christian Doppler Research Society, and by grants of the Austrian Science Foundation (FWF-DACH Proj.: I-746-B11, FWF-P25333-B09), by the SysMo-MOSES project through the FFG, the WWTF, and by the IP-UNICELLSYS from the FP7 programme. Work on systems biology of fungal infection in the EK group has been supported by grants from the German Research Council (DFG: CRC618), the EU Marie-Curie Program (FinSysB, PITN-GA-2008-214004) and the EU FP7 programme (IP-UNICELLSYS and IP-SysteMtb). We would like to thank Sara Tierney for contributing to the artwork.

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Authors and Affiliations

  1. Christian Doppler Laboratory Infection Biology, Max F. Perutz Laboratories, Medical University of Vienna, 1030, Vienna, Austria

    Lanay Tierney & Karl Kuchler

  2. Institute of Biology, Theoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115, Berlin, Germany

    Katarzyna Tyc & Edda Klipp

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  1. Lanay Tierney
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  2. Katarzyna Tyc
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  3. Edda Klipp
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  4. Karl Kuchler
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Correspondence to Edda Klipp or Karl Kuchler .

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  1. Friedrich Schiller University of Jena, Jena, Germany

    Oliver Kurzai

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Tierney, L., Tyc, K., Klipp, E., Kuchler, K. (2014). 3 Systems Biology Approaches to Understanding and Predicting Fungal Virulence. In: Kurzai, O. (eds) Human Fungal Pathogens. The Mycota, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39432-4_3

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