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Modeling the electron transport chain of purple non‐sulfur bacteria

Authors: Klamt, S. ; https://orcid.org/0000-0003-2563-7561; Grammel, H.; Straube, R.; Ghosh, R.; Gilles, E.;

Modeling the electron transport chain of purple non‐sulfur bacteria

Abstract

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.

Keywords

Medicine (General), photosynthesis, Light, QH301-705.5, ubiquinone pool, Rhodobacter sphaeroides, Rhodospirillum rubrum, NAD, Models, Biological, Article, Aerobiosis, Rhodospirillaceae, redox regulation, Adenosine Diphosphate, Electron Transport, Kinetics, R5-920, Adenosine Triphosphate, Computer Simulation, Anaerobiosis, Biology (General)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
78
Top 10%
Top 10%
Top 10%
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