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Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants

This work presents a methodology to evaluate the bioenergetic feasibility of alternative metabolic pathways for a given microbial conversion, optimising their energy yield and driving forces as a function of the concentration of metabolic intermediates. The tool, based on thermodynamic principles an...

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Autores principales: Taha, Ahmed, Patón, Mauricio, Penas, David R., Banga, Julio R., Rodríguez, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353829/
https://www.ncbi.nlm.nih.gov/pubmed/37410779
http://dx.doi.org/10.1371/journal.pcbi.1011264
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author Taha, Ahmed
Patón, Mauricio
Penas, David R.
Banga, Julio R.
Rodríguez, Jorge
author_facet Taha, Ahmed
Patón, Mauricio
Penas, David R.
Banga, Julio R.
Rodríguez, Jorge
author_sort Taha, Ahmed
collection PubMed
description This work presents a methodology to evaluate the bioenergetic feasibility of alternative metabolic pathways for a given microbial conversion, optimising their energy yield and driving forces as a function of the concentration of metabolic intermediates. The tool, based on thermodynamic principles and multi-objective optimisation, accounts for pathway variants in terms of different electron carriers, as well as energy conservation (proton translocating) reactions within the pathway. The method also accommodates other constraints, some of them non-linear, such as the balance of conserved moieties. The approach involves the transformation of the maximum energy yield problem into a multi-objective mixed-integer linear optimisation problem which is then subsequently solved using the epsilon-constraint method, highlighting the trade-off between yield and rate in metabolic reactions. The methodology is applied to analyse several pathway alternatives occurring during propionate oxidation in anaerobic fermentation processes, as well as to the reverse TCA cycle pathway occurring during autotrophic microbial CO(2) fixation. The results obtained using the developed methodology match previously reported literature and bring about insights into the studied pathways.
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spelling pubmed-103538292023-07-19 Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants Taha, Ahmed Patón, Mauricio Penas, David R. Banga, Julio R. Rodríguez, Jorge PLoS Comput Biol Research Article This work presents a methodology to evaluate the bioenergetic feasibility of alternative metabolic pathways for a given microbial conversion, optimising their energy yield and driving forces as a function of the concentration of metabolic intermediates. The tool, based on thermodynamic principles and multi-objective optimisation, accounts for pathway variants in terms of different electron carriers, as well as energy conservation (proton translocating) reactions within the pathway. The method also accommodates other constraints, some of them non-linear, such as the balance of conserved moieties. The approach involves the transformation of the maximum energy yield problem into a multi-objective mixed-integer linear optimisation problem which is then subsequently solved using the epsilon-constraint method, highlighting the trade-off between yield and rate in metabolic reactions. The methodology is applied to analyse several pathway alternatives occurring during propionate oxidation in anaerobic fermentation processes, as well as to the reverse TCA cycle pathway occurring during autotrophic microbial CO(2) fixation. The results obtained using the developed methodology match previously reported literature and bring about insights into the studied pathways. Public Library of Science 2023-07-06 /pmc/articles/PMC10353829/ /pubmed/37410779 http://dx.doi.org/10.1371/journal.pcbi.1011264 Text en © 2023 Taha et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Taha, Ahmed
Patón, Mauricio
Penas, David R.
Banga, Julio R.
Rodríguez, Jorge
Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title_full Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title_fullStr Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title_full_unstemmed Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title_short Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
title_sort optimal evaluation of energy yield and driving force in microbial metabolic pathway variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353829/
https://www.ncbi.nlm.nih.gov/pubmed/37410779
http://dx.doi.org/10.1371/journal.pcbi.1011264
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