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Underground metabolism as a rich reservoir for pathway engineering

MOTIVATION: Bioproduction of value-added compounds is frequently achieved by utilizing enzymes from other species. However, expression of such heterologous enzymes can be detrimental due to unexpected interactions within the host cell. Recently, an alternative strategy emerged, which relies on recru...

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Autores principales: Kovács, Szabolcs Cselgő, Szappanos, Balázs, Tengölics, Roland, Notebaart, Richard A, Papp, Balázs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154287/
https://www.ncbi.nlm.nih.gov/pubmed/35441658
http://dx.doi.org/10.1093/bioinformatics/btac282
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author Kovács, Szabolcs Cselgő
Szappanos, Balázs
Tengölics, Roland
Notebaart, Richard A
Papp, Balázs
author_facet Kovács, Szabolcs Cselgő
Szappanos, Balázs
Tengölics, Roland
Notebaart, Richard A
Papp, Balázs
author_sort Kovács, Szabolcs Cselgő
collection PubMed
description MOTIVATION: Bioproduction of value-added compounds is frequently achieved by utilizing enzymes from other species. However, expression of such heterologous enzymes can be detrimental due to unexpected interactions within the host cell. Recently, an alternative strategy emerged, which relies on recruiting side activities of host enzymes to establish new biosynthetic pathways. Although such low-level ‘underground’ enzyme activities are prevalent, it remains poorly explored whether they may serve as an important reservoir for pathway engineering. RESULTS: Here, we use genome-scale modeling to estimate the theoretical potential of underground reactions for engineering novel biosynthetic pathways in Escherichia coli. We found that biochemical reactions contributed by underground enzyme activities often enhance the in silico production of compounds with industrial importance, including several cases where underground activities are indispensable for production. Most of these new capabilities can be achieved by the addition of one or two underground reactions to the native network, suggesting that only a few side activities need to be enhanced during implementation. Remarkably, we find that the contribution of underground reactions to the production of value-added compounds is comparable to that of heterologous reactions, underscoring their biotechnological potential. Taken together, our genome-wide study demonstrates that exploiting underground enzyme activities could be a promising addition to the toolbox of industrial strain development. AVAILABILITY AND IMPLEMENTATION: The data and scripts underlying this article are available on GitHub at https://github.com/pappb/Kovacs-et-al-Underground-metabolism. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-91542872022-06-04 Underground metabolism as a rich reservoir for pathway engineering Kovács, Szabolcs Cselgő Szappanos, Balázs Tengölics, Roland Notebaart, Richard A Papp, Balázs Bioinformatics Original Papers MOTIVATION: Bioproduction of value-added compounds is frequently achieved by utilizing enzymes from other species. However, expression of such heterologous enzymes can be detrimental due to unexpected interactions within the host cell. Recently, an alternative strategy emerged, which relies on recruiting side activities of host enzymes to establish new biosynthetic pathways. Although such low-level ‘underground’ enzyme activities are prevalent, it remains poorly explored whether they may serve as an important reservoir for pathway engineering. RESULTS: Here, we use genome-scale modeling to estimate the theoretical potential of underground reactions for engineering novel biosynthetic pathways in Escherichia coli. We found that biochemical reactions contributed by underground enzyme activities often enhance the in silico production of compounds with industrial importance, including several cases where underground activities are indispensable for production. Most of these new capabilities can be achieved by the addition of one or two underground reactions to the native network, suggesting that only a few side activities need to be enhanced during implementation. Remarkably, we find that the contribution of underground reactions to the production of value-added compounds is comparable to that of heterologous reactions, underscoring their biotechnological potential. Taken together, our genome-wide study demonstrates that exploiting underground enzyme activities could be a promising addition to the toolbox of industrial strain development. AVAILABILITY AND IMPLEMENTATION: The data and scripts underlying this article are available on GitHub at https://github.com/pappb/Kovacs-et-al-Underground-metabolism. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-04-20 /pmc/articles/PMC9154287/ /pubmed/35441658 http://dx.doi.org/10.1093/bioinformatics/btac282 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Kovács, Szabolcs Cselgő
Szappanos, Balázs
Tengölics, Roland
Notebaart, Richard A
Papp, Balázs
Underground metabolism as a rich reservoir for pathway engineering
title Underground metabolism as a rich reservoir for pathway engineering
title_full Underground metabolism as a rich reservoir for pathway engineering
title_fullStr Underground metabolism as a rich reservoir for pathway engineering
title_full_unstemmed Underground metabolism as a rich reservoir for pathway engineering
title_short Underground metabolism as a rich reservoir for pathway engineering
title_sort underground metabolism as a rich reservoir for pathway engineering
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154287/
https://www.ncbi.nlm.nih.gov/pubmed/35441658
http://dx.doi.org/10.1093/bioinformatics/btac282
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