Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans

Komalapriya Chandrasekaran, Despoina Kaloriti, Anna T Tillmann, Zhinkang Yin, Carmen Herrero De Dios, Mette D Jacobsen, Rodrigo C Belmonte, Gary Cameron, Ken Haynes, Celso Grebogi, Alessandro P S de Moura, Neil A R Gow, Marco Thiel, Janet Quinn, Alistair J P Brown, M Carmen Romano

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Abstract

The major fungal pathogen of humans, Candida albicans, mounts robust responses to oxidative stress that are critical for its virulence. These responses counteract the reactive oxygen species (ROS) that are generated by host immune cells in an attempt to kill the invading fungus. Knowledge of the dynamical processes that instigate C. albicans oxidative stress responses is required for a proper understanding of fungus-host interactions. Therefore, we have adopted an interdisciplinary approach to explore the dynamical responses of C. albicans to hydrogen peroxide (H2O2). Our deterministic mathematical model integrates two major oxidative stress signalling pathways (Cap1 and Hog1 pathways) with the three major antioxidant systems (catalase, glutathione and thioredoxin systems) and the pentose phosphate pathway, which provides reducing equivalents required for oxidative stress adaptation. The model encapsulates existing knowledge of these systems with new genomic, proteomic, transcriptomic, molecular and cellular datasets. Our integrative approach predicts the existence of alternative states for the key regulators Cap1 and Hog1, thereby suggesting novel regulatory behaviours during oxidative stress. The model reproduces both existing and new experimental observations under a variety of scenarios. Time- and dose-dependent predictions of the oxidative stress responses for both wild type and mutant cells have highlighted the different temporal contributions of the various antioxidant systems during oxidative stress adaptation, indicating that catalase plays a critical role immediately following stress imposition. This is the first model to encapsulate the dynamics of the transcriptional response alongside the redox kinetics of the major antioxidant systems during H2O2 stress in C. albicans.
Original languageEnglish
Article number0137750
JournalPloS ONE
Volume10
Issue number9
DOIs
Publication statusPublished - 14 Sep 2015

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Oxidative stress
Candida
Pathogens
Candida albicans
Oxidative Stress
oxidative stress
pathogens
Antioxidants
Fungi
antioxidants
Catalase
stress response
catalase
Pentoses
Pentose Phosphate Pathway
Thioredoxins
fungi
pentoses
transcriptomics
Proteomics

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Chandrasekaran, K., Kaloriti, D., Tillmann, A. T., Yin, Z., Herrero De Dios, C., Jacobsen, M. D., ... Romano, M. C. (2015). Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans. PloS ONE, 10(9), [0137750]. https://doi.org/10.1371/journal.pone.0137750

Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans. / Chandrasekaran, Komalapriya; Kaloriti, Despoina; Tillmann, Anna T; Yin, Zhinkang; Herrero De Dios, Carmen; Jacobsen, Mette D; Belmonte, Rodrigo C; Cameron, Gary; Haynes, Ken; Grebogi, Celso; de Moura, Alessandro P S; Gow, Neil A R; Thiel, Marco; Quinn, Janet; Brown, Alistair J P; Romano, M Carmen.

In: PloS ONE, Vol. 10, No. 9, 0137750, 14.09.2015.

Research output: Contribution to journalArticle

Chandrasekaran, K, Kaloriti, D, Tillmann, AT, Yin, Z, Herrero De Dios, C, Jacobsen, MD, Belmonte, RC, Cameron, G, Haynes, K, Grebogi, C, de Moura, APS, Gow, NAR, Thiel, M, Quinn, J, Brown, AJP & Romano, MC 2015, 'Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans', PloS ONE, vol. 10, no. 9, 0137750. https://doi.org/10.1371/journal.pone.0137750
Chandrasekaran K, Kaloriti D, Tillmann AT, Yin Z, Herrero De Dios C, Jacobsen MD et al. Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans. PloS ONE. 2015 Sep 14;10(9). 0137750. https://doi.org/10.1371/journal.pone.0137750
Chandrasekaran, Komalapriya ; Kaloriti, Despoina ; Tillmann, Anna T ; Yin, Zhinkang ; Herrero De Dios, Carmen ; Jacobsen, Mette D ; Belmonte, Rodrigo C ; Cameron, Gary ; Haynes, Ken ; Grebogi, Celso ; de Moura, Alessandro P S ; Gow, Neil A R ; Thiel, Marco ; Quinn, Janet ; Brown, Alistair J P ; Romano, M Carmen. / Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans. In: PloS ONE. 2015 ; Vol. 10, No. 9.
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abstract = "The major fungal pathogen of humans, Candida albicans, mounts robust responses to oxidative stress that are critical for its virulence. These responses counteract the reactive oxygen species (ROS) that are generated by host immune cells in an attempt to kill the invading fungus. Knowledge of the dynamical processes that instigate C. albicans oxidative stress responses is required for a proper understanding of fungus-host interactions. Therefore, we have adopted an interdisciplinary approach to explore the dynamical responses of C. albicans to hydrogen peroxide (H2O2). Our deterministic mathematical model integrates two major oxidative stress signalling pathways (Cap1 and Hog1 pathways) with the three major antioxidant systems (catalase, glutathione and thioredoxin systems) and the pentose phosphate pathway, which provides reducing equivalents required for oxidative stress adaptation. The model encapsulates existing knowledge of these systems with new genomic, proteomic, transcriptomic, molecular and cellular datasets. Our integrative approach predicts the existence of alternative states for the key regulators Cap1 and Hog1, thereby suggesting novel regulatory behaviours during oxidative stress. The model reproduces both existing and new experimental observations under a variety of scenarios. Time- and dose-dependent predictions of the oxidative stress responses for both wild type and mutant cells have highlighted the different temporal contributions of the various antioxidant systems during oxidative stress adaptation, indicating that catalase plays a critical role immediately following stress imposition. This is the first model to encapsulate the dynamics of the transcriptional response alongside the redox kinetics of the major antioxidant systems during H2O2 stress in C. albicans.",
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note = "Acknowledgments We are grateful to the Ian Fraser Cytometry Centre and our Mass Spetrometry and qPCR Facilities for help with the flow cytometry, glutathione and qRT-PCR assays, respectively. We also thank our many colleagues in the CRISP Consortium and in the medical mycology and systems biology communities for insightful discussions. Funding: This work was supported by the CRISP project (Combinatorial Responses In Stress Pathways), which was funded by the UK Biotechnology and Biological Research Council (www.bbsrc.ac.uk): AJPB, KH, CG, ADM, NARG, MT, MCR. (Research Grants; BB/F00513X/1, BB/F005210/1-2). AJPB and JQ received additional support from the BBSRC (Research Grants; BB/K016393/1; BB/K017365/1). NARG and AJPB were also supported by the Wellcome Trust (www.wellcome.ac.uk), (Grants: 080088; 097377). AJPB was also supported by the European Research Council (http://erc.europa.eu/), (STRIFE Advanced Grant; ERC-2009-AdG-249793). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",
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AU - Herrero De Dios, Carmen

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N1 - Acknowledgments We are grateful to the Ian Fraser Cytometry Centre and our Mass Spetrometry and qPCR Facilities for help with the flow cytometry, glutathione and qRT-PCR assays, respectively. We also thank our many colleagues in the CRISP Consortium and in the medical mycology and systems biology communities for insightful discussions. Funding: This work was supported by the CRISP project (Combinatorial Responses In Stress Pathways), which was funded by the UK Biotechnology and Biological Research Council (www.bbsrc.ac.uk): AJPB, KH, CG, ADM, NARG, MT, MCR. (Research Grants; BB/F00513X/1, BB/F005210/1-2). AJPB and JQ received additional support from the BBSRC (Research Grants; BB/K016393/1; BB/K017365/1). NARG and AJPB were also supported by the Wellcome Trust (www.wellcome.ac.uk), (Grants: 080088; 097377). AJPB was also supported by the European Research Council (http://erc.europa.eu/), (STRIFE Advanced Grant; ERC-2009-AdG-249793). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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