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Document Version Version Comment Date Status
331289.0 [No comment] 05.03.2012 09:28 Released

ID: 331289.0, MPI für Dynamik komplexer technischer Systeme / Systems Biology
Modeling the electron transport chain of purple non-sulfur bacteria
Authors:Klamt, S.; Grammel, H.; Straube, R.; Ghosh, R.; Gilles, E. D.
Date of Publication (YYYY-MM-DD):2008
Title of Journal:Molecular Systems Biology
Sequence Number of Article:156
Review Status:Peer-review
Audience:Experts Only
Abstract / Description:Purple non-sulfur bacteria (Rhodospirillaceae) have been extensively employed for studying principles of photosynthetic and respiratory electron transport phosphorylation and for investigating the regulation of gene expression in response to redox signals. Here, we use mathematical modeling to evaluate the steady-state behavior of the electron transport chain (ETC) in these bacteria under different environmental conditions. Elementary-modes analysis of a stoichiometric ETC model reveals nine operational modes. Most of them represent well-known functional states, however, two modes constitute reverse electron flow under respiratory conditions, which has been barely considered so far. We further present and analyze a kinetic model of the ETC in which rate laws of electron transfer steps are based on redox potential differences. Our model reproduces well-known phenomena of respiratory and photosynthetic operation of the ETC and also provides non-intuitive predictions. As one key result, model simulations demonstrate a stronger reduction of ubiquinone when switching from high-light to low-light conditions. This result is parameter insensitive and supports the hypothesis that the redox state of ubiquinone is a suitable signal for controlling photosynthetic gene expression.

© 2008 EMBO and Nature Publishing Group
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits distribution and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation or the creation of derivative works without specific permission.
External Publication Status:published
Document Type:Article
Communicated by:Ernst-Dieter Gilles
Affiliations:MPI für Dynamik komplexer technischer Systeme/Systems Biology
ISI:OA 331289
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