A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems

Abstract Toxin–antitoxin (TA) modules are part of most bacteria’s regulatory machinery for stress responses and general aspects of their physiology. Due to the interplay of a long-lived toxin with a short-lived antitoxin, TA modules have also become systems of interest for mathematical modelling. He...

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Main Authors: Kosmas Kosmidis, Marc-Thorsten Hütt
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-98570-z
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spelling doaj-5189648266a84352a4241c933f4994842021-10-03T11:33:38ZengNature Publishing GroupScientific Reports2045-23222021-09-0111111210.1038/s41598-021-98570-zA minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systemsKosmas Kosmidis0Marc-Thorsten Hütt1Physics Department, Aristotle University of ThessalonikiDepartment of Life Sciences and Chemistry, Jacobs University BremenAbstract Toxin–antitoxin (TA) modules are part of most bacteria’s regulatory machinery for stress responses and general aspects of their physiology. Due to the interplay of a long-lived toxin with a short-lived antitoxin, TA modules have also become systems of interest for mathematical modelling. Here we resort to previous modelling efforts and extract from these a minimal model of type II TA system dynamics on a timescale of hours, which can be used to describe time courses derived from gene expression data of TA pairs. We show that this model provides a good quantitative description of TA dynamics for the 11 TA pairs under investigation here, while simpler models do not. Our study brings together aspects of Biophysics with its focus on mathematical modelling and Computational Systems Biology with its focus on the quantitative interpretation of ’omics’ data. This mechanistic model serves as a generic transformation of time course information into kinetic parameters. The resulting parameter vector can, in turn, be mechanistically interpreted. We expect that TA pairs with similar mechanisms are characterized by similar vectors of kinetic parameters, allowing us to hypothesize on the mode of action for TA pairs still under discussion.https://doi.org/10.1038/s41598-021-98570-z
collection DOAJ
language English
format Article
sources DOAJ
author Kosmas Kosmidis
Marc-Thorsten Hütt
spellingShingle Kosmas Kosmidis
Marc-Thorsten Hütt
A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
Scientific Reports
author_facet Kosmas Kosmidis
Marc-Thorsten Hütt
author_sort Kosmas Kosmidis
title A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
title_short A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
title_full A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
title_fullStr A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
title_full_unstemmed A minimal model for gene expression dynamics of bacterial type II toxin–antitoxin systems
title_sort minimal model for gene expression dynamics of bacterial type ii toxin–antitoxin systems
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-09-01
description Abstract Toxin–antitoxin (TA) modules are part of most bacteria’s regulatory machinery for stress responses and general aspects of their physiology. Due to the interplay of a long-lived toxin with a short-lived antitoxin, TA modules have also become systems of interest for mathematical modelling. Here we resort to previous modelling efforts and extract from these a minimal model of type II TA system dynamics on a timescale of hours, which can be used to describe time courses derived from gene expression data of TA pairs. We show that this model provides a good quantitative description of TA dynamics for the 11 TA pairs under investigation here, while simpler models do not. Our study brings together aspects of Biophysics with its focus on mathematical modelling and Computational Systems Biology with its focus on the quantitative interpretation of ’omics’ data. This mechanistic model serves as a generic transformation of time course information into kinetic parameters. The resulting parameter vector can, in turn, be mechanistically interpreted. We expect that TA pairs with similar mechanisms are characterized by similar vectors of kinetic parameters, allowing us to hypothesize on the mode of action for TA pairs still under discussion.
url https://doi.org/10.1038/s41598-021-98570-z
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