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A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells

BACKGROUND: Iron plays crucial roles in the metabolism of eukaryotic cells. Much iron is trafficked into mitochondria where it is used for iron-sulfur cluster assembly and heme biosynthesis. A yeast strain in which Mrs3/4, the high-affinity iron importers on the mitochondrial inner membrane, are del...

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Autores principales: Wofford, Joshua D., Lindahl, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385441/
https://www.ncbi.nlm.nih.gov/pubmed/30791941
http://dx.doi.org/10.1186/s12918-019-0702-2
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author Wofford, Joshua D.
Lindahl, Paul A.
author_facet Wofford, Joshua D.
Lindahl, Paul A.
author_sort Wofford, Joshua D.
collection PubMed
description BACKGROUND: Iron plays crucial roles in the metabolism of eukaryotic cells. Much iron is trafficked into mitochondria where it is used for iron-sulfur cluster assembly and heme biosynthesis. A yeast strain in which Mrs3/4, the high-affinity iron importers on the mitochondrial inner membrane, are deleted exhibits a slow-growth phenotype when grown under iron-deficient conditions. However, these cells grow at WT rates under iron-sufficient conditions. The object of this study was to develop a mathematical model that could explain this recovery on the molecular level. RESULTS: A multi-tiered strategy was used to solve an ordinary-differential-equations-based mathematical model of iron import, trafficking, and regulation in growing Saccharomyces cerevisiae cells. At the simplest level of modeling, all iron in the cell was presumed to be a single species and the cell was considered to be a single homogeneous volume. Optimized parameters associated with the rate of iron import and the rate of dilution due to cell growth were determined. At the next level of complexity, the cell was divided into three regions, including cytosol, mitochondria, and vacuoles, each of which was presumed to contain a single form of iron. Optimized parameters associated with import into these regions were determined. At the final level of complexity, nine components were assumed within the same three cellular regions. Parameters obtained at simpler levels of complexity were used to help solve the more complex versions of the model; this was advantageous because the data used for solving the simpler model variants were more reliable and complete relative to those required for the more complex variants. The optimized full-complexity model simulated the observed phenotype of WT and Mrs3/4ΔΔ cells with acceptable fidelity, and the model exhibited some predictive power. CONCLUSIONS: The developed model highlights the importance of an Fe(II) mitochondrial pool and the necessary exclusion of O(2) in the mitochondrial matrix for eukaryotic iron-sulfur cluster metabolism. Similar multi-tiered strategies could be used for any micronutrient in which concentrations and metabolic forms have been determined in different organelles within a growing eukaryotic cell. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-019-0702-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-63854412019-03-01 A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells Wofford, Joshua D. Lindahl, Paul A. BMC Syst Biol Research Article BACKGROUND: Iron plays crucial roles in the metabolism of eukaryotic cells. Much iron is trafficked into mitochondria where it is used for iron-sulfur cluster assembly and heme biosynthesis. A yeast strain in which Mrs3/4, the high-affinity iron importers on the mitochondrial inner membrane, are deleted exhibits a slow-growth phenotype when grown under iron-deficient conditions. However, these cells grow at WT rates under iron-sufficient conditions. The object of this study was to develop a mathematical model that could explain this recovery on the molecular level. RESULTS: A multi-tiered strategy was used to solve an ordinary-differential-equations-based mathematical model of iron import, trafficking, and regulation in growing Saccharomyces cerevisiae cells. At the simplest level of modeling, all iron in the cell was presumed to be a single species and the cell was considered to be a single homogeneous volume. Optimized parameters associated with the rate of iron import and the rate of dilution due to cell growth were determined. At the next level of complexity, the cell was divided into three regions, including cytosol, mitochondria, and vacuoles, each of which was presumed to contain a single form of iron. Optimized parameters associated with import into these regions were determined. At the final level of complexity, nine components were assumed within the same three cellular regions. Parameters obtained at simpler levels of complexity were used to help solve the more complex versions of the model; this was advantageous because the data used for solving the simpler model variants were more reliable and complete relative to those required for the more complex variants. The optimized full-complexity model simulated the observed phenotype of WT and Mrs3/4ΔΔ cells with acceptable fidelity, and the model exhibited some predictive power. CONCLUSIONS: The developed model highlights the importance of an Fe(II) mitochondrial pool and the necessary exclusion of O(2) in the mitochondrial matrix for eukaryotic iron-sulfur cluster metabolism. Similar multi-tiered strategies could be used for any micronutrient in which concentrations and metabolic forms have been determined in different organelles within a growing eukaryotic cell. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-019-0702-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-21 /pmc/articles/PMC6385441/ /pubmed/30791941 http://dx.doi.org/10.1186/s12918-019-0702-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wofford, Joshua D.
Lindahl, Paul A.
A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title_full A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title_fullStr A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title_full_unstemmed A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title_short A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells
title_sort mathematical model of iron import and trafficking in wild-type and mrs3/4δδ yeast cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385441/
https://www.ncbi.nlm.nih.gov/pubmed/30791941
http://dx.doi.org/10.1186/s12918-019-0702-2
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