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Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies

Candida albicans, an opportunistic fungal pathogen, is a significant cause of human infections, particularly in immunocompromised individuals. Phenotypic plasticity between two morphological phenotypes, yeast and hyphae, is a key mechanism by which C. albicans can thrive in many microenvironments an...

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Autores principales: Wooten, David J., Zañudo, Jorge Gómez Tejeda, Murrugarra, David, Perry, Austin M., Dongari-Bagtzoglou, Anna, Laubenbacher, Reinhard, Nobile, Clarissa J., Albert, Réka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031856/
https://www.ncbi.nlm.nih.gov/pubmed/33780439
http://dx.doi.org/10.1371/journal.pcbi.1008690
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author Wooten, David J.
Zañudo, Jorge Gómez Tejeda
Murrugarra, David
Perry, Austin M.
Dongari-Bagtzoglou, Anna
Laubenbacher, Reinhard
Nobile, Clarissa J.
Albert, Réka
author_facet Wooten, David J.
Zañudo, Jorge Gómez Tejeda
Murrugarra, David
Perry, Austin M.
Dongari-Bagtzoglou, Anna
Laubenbacher, Reinhard
Nobile, Clarissa J.
Albert, Réka
author_sort Wooten, David J.
collection PubMed
description Candida albicans, an opportunistic fungal pathogen, is a significant cause of human infections, particularly in immunocompromised individuals. Phenotypic plasticity between two morphological phenotypes, yeast and hyphae, is a key mechanism by which C. albicans can thrive in many microenvironments and cause disease in the host. Understanding the decision points and key driver genes controlling this important transition and how these genes respond to different environmental signals is critical to understanding how C. albicans causes infections in the host. Here we build and analyze a Boolean dynamical model of the C. albicans yeast to hyphal transition, integrating multiple environmental factors and regulatory mechanisms. We validate the model by a systematic comparison to prior experiments, which led to agreement in 17 out of 22 cases. The discrepancies motivate alternative hypotheses that are testable by follow-up experiments. Analysis of this model revealed two time-constrained windows of opportunity that must be met for the complete transition from the yeast to hyphal phenotype, as well as control strategies that can robustly prevent this transition. We experimentally validate two of these control predictions in C. albicans strains lacking the transcription factor UME6 and the histone deacetylase HDA1, respectively. This model will serve as a strong base from which to develop a systems biology understanding of C. albicans morphogenesis.
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spelling pubmed-80318562021-04-15 Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies Wooten, David J. Zañudo, Jorge Gómez Tejeda Murrugarra, David Perry, Austin M. Dongari-Bagtzoglou, Anna Laubenbacher, Reinhard Nobile, Clarissa J. Albert, Réka PLoS Comput Biol Research Article Candida albicans, an opportunistic fungal pathogen, is a significant cause of human infections, particularly in immunocompromised individuals. Phenotypic plasticity between two morphological phenotypes, yeast and hyphae, is a key mechanism by which C. albicans can thrive in many microenvironments and cause disease in the host. Understanding the decision points and key driver genes controlling this important transition and how these genes respond to different environmental signals is critical to understanding how C. albicans causes infections in the host. Here we build and analyze a Boolean dynamical model of the C. albicans yeast to hyphal transition, integrating multiple environmental factors and regulatory mechanisms. We validate the model by a systematic comparison to prior experiments, which led to agreement in 17 out of 22 cases. The discrepancies motivate alternative hypotheses that are testable by follow-up experiments. Analysis of this model revealed two time-constrained windows of opportunity that must be met for the complete transition from the yeast to hyphal phenotype, as well as control strategies that can robustly prevent this transition. We experimentally validate two of these control predictions in C. albicans strains lacking the transcription factor UME6 and the histone deacetylase HDA1, respectively. This model will serve as a strong base from which to develop a systems biology understanding of C. albicans morphogenesis. Public Library of Science 2021-03-29 /pmc/articles/PMC8031856/ /pubmed/33780439 http://dx.doi.org/10.1371/journal.pcbi.1008690 Text en © 2021 Wooten et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wooten, David J.
Zañudo, Jorge Gómez Tejeda
Murrugarra, David
Perry, Austin M.
Dongari-Bagtzoglou, Anna
Laubenbacher, Reinhard
Nobile, Clarissa J.
Albert, Réka
Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title_full Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title_fullStr Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title_full_unstemmed Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title_short Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies
title_sort mathematical modeling of the candida albicans yeast to hyphal transition reveals novel control strategies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031856/
https://www.ncbi.nlm.nih.gov/pubmed/33780439
http://dx.doi.org/10.1371/journal.pcbi.1008690
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