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Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis
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Delattre, Hadrien, Chen, Jing, Wade, Matthew J. and Soyer, Orkun S. (2020) Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis. Journal of The Royal Society Interface, 17 (166). 20200053. doi:10.1098/rsif.2020.0053 ISSN 1742-5689.
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WRAP-Thermodynamic-modelling-synthetic-energy-sulfate-methanogenesis-Delattre-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (704Kb) | Preview |
Official URL: http://dx.doi.org/10.1098/rsif.2020.0053
Abstract
Microbial communities are complex dynamical systems harbouring many species interacting together to implement higher-level functions. Among these higher-level functions, conversion of organic matter into simpler building blocks by microbial communities underpins biogeochemical cycles and animal and plant nutrition, and is exploited in biotechnology. A prerequisite to predicting the dynamics and stability of community-mediated metabolic conversions is the development and calibration of appropriate mathematical models. Here, we present a generic, extendable thermodynamic model for community dynamics and calibrate a key parameter of this thermodynamic model, the minimum energy requirement associated with growth-supporting metabolic pathways, using experimental population dynamics data from synthetic communities composed of a sulfate reducer and two methanogens. Our findings show that accounting for thermodynamics is necessary in capturing the experimental population dynamics of these synthetic communities that feature relevant species using low energy growth pathways. Furthermore, they provide the first estimates for minimum energy requirements of methanogenesis (in the range of −30 kJ mol−1) and elaborate on previous estimates of lactate fermentation by sulfate reducers (in the range of −30 to −17 kJ mol−1 depending on the culture conditions). The open-source nature of the developed model and demonstration of its use for estimating a key thermodynamic parameter should facilitate further thermodynamic modelling of microbial communities.
Item Type: | Journal Article | ||||||||||||
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Subjects: | Q Science > QR Microbiology | ||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||||||||
Library of Congress Subject Headings (LCSH): | Microbial growth , Microbial growth -- Mathematical models | ||||||||||||
Journal or Publication Title: | Journal of The Royal Society Interface | ||||||||||||
Publisher: | The Royal Society Publishing | ||||||||||||
ISSN: | 1742-5689 | ||||||||||||
Official Date: | 1 May 2020 | ||||||||||||
Dates: |
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Volume: | 17 | ||||||||||||
Number: | 166 | ||||||||||||
Article Number: | 20200053 | ||||||||||||
DOI: | 10.1098/rsif.2020.0053 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Copyright Holders: | © 2020 The Authors. | ||||||||||||
Date of first compliant deposit: | 18 May 2020 | ||||||||||||
Date of first compliant Open Access: | 19 May 2020 | ||||||||||||
RIOXX Funder/Project Grant: |
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