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Enzyme promiscuity shapes adaptation to novel growth substrates

Evidence suggests that novel enzyme functions evolved from low‐level promiscuous activities in ancestral enzymes. Yet, the evolutionary dynamics and physiological mechanisms of how such side activities contribute to systems‐level adaptations are not well characterized. Furthermore, it remains untest...

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Autores principales: Guzmán, Gabriela I, Sandberg, Troy E, LaCroix, Ryan A, Nyerges, Ákos, Papp, Henrietta, de Raad, Markus, King, Zachary A, Hefner, Ying, Northen, Trent R, Notebaart, Richard A, Pál, Csaba, Palsson, Bernhard O, Papp, Balázs, Feist, Adam M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452873/
https://www.ncbi.nlm.nih.gov/pubmed/30962359
http://dx.doi.org/10.15252/msb.20188462
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author Guzmán, Gabriela I
Sandberg, Troy E
LaCroix, Ryan A
Nyerges, Ákos
Papp, Henrietta
de Raad, Markus
King, Zachary A
Hefner, Ying
Northen, Trent R
Notebaart, Richard A
Pál, Csaba
Palsson, Bernhard O
Papp, Balázs
Feist, Adam M
author_facet Guzmán, Gabriela I
Sandberg, Troy E
LaCroix, Ryan A
Nyerges, Ákos
Papp, Henrietta
de Raad, Markus
King, Zachary A
Hefner, Ying
Northen, Trent R
Notebaart, Richard A
Pál, Csaba
Palsson, Bernhard O
Papp, Balázs
Feist, Adam M
author_sort Guzmán, Gabriela I
collection PubMed
description Evidence suggests that novel enzyme functions evolved from low‐level promiscuous activities in ancestral enzymes. Yet, the evolutionary dynamics and physiological mechanisms of how such side activities contribute to systems‐level adaptations are not well characterized. Furthermore, it remains untested whether knowledge of an organism's promiscuous reaction set, or underground metabolism, can aid in forecasting the genetic basis of metabolic adaptations. Here, we employ a computational model of underground metabolism and laboratory evolution experiments to examine the role of enzyme promiscuity in the acquisition and optimization of growth on predicted non‐native substrates in Escherichia coli K‐12 MG1655. After as few as approximately 20 generations, evolved populations repeatedly acquired the capacity to grow on five predicted non‐native substrates—D‐lyxose, D‐2‐deoxyribose, D‐arabinose, m‐tartrate, and monomethyl succinate. Altered promiscuous activities were shown to be directly involved in establishing high‐efficiency pathways. Structural mutations shifted enzyme substrate turnover rates toward the new substrate while retaining a preference for the primary substrate. Finally, genes underlying the phenotypic innovations were accurately predicted by genome‐scale model simulations of metabolism with enzyme promiscuity.
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spelling pubmed-64528732019-04-17 Enzyme promiscuity shapes adaptation to novel growth substrates Guzmán, Gabriela I Sandberg, Troy E LaCroix, Ryan A Nyerges, Ákos Papp, Henrietta de Raad, Markus King, Zachary A Hefner, Ying Northen, Trent R Notebaart, Richard A Pál, Csaba Palsson, Bernhard O Papp, Balázs Feist, Adam M Mol Syst Biol Reports Evidence suggests that novel enzyme functions evolved from low‐level promiscuous activities in ancestral enzymes. Yet, the evolutionary dynamics and physiological mechanisms of how such side activities contribute to systems‐level adaptations are not well characterized. Furthermore, it remains untested whether knowledge of an organism's promiscuous reaction set, or underground metabolism, can aid in forecasting the genetic basis of metabolic adaptations. Here, we employ a computational model of underground metabolism and laboratory evolution experiments to examine the role of enzyme promiscuity in the acquisition and optimization of growth on predicted non‐native substrates in Escherichia coli K‐12 MG1655. After as few as approximately 20 generations, evolved populations repeatedly acquired the capacity to grow on five predicted non‐native substrates—D‐lyxose, D‐2‐deoxyribose, D‐arabinose, m‐tartrate, and monomethyl succinate. Altered promiscuous activities were shown to be directly involved in establishing high‐efficiency pathways. Structural mutations shifted enzyme substrate turnover rates toward the new substrate while retaining a preference for the primary substrate. Finally, genes underlying the phenotypic innovations were accurately predicted by genome‐scale model simulations of metabolism with enzyme promiscuity. John Wiley and Sons Inc. 2019-04-08 /pmc/articles/PMC6452873/ /pubmed/30962359 http://dx.doi.org/10.15252/msb.20188462 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reports
Guzmán, Gabriela I
Sandberg, Troy E
LaCroix, Ryan A
Nyerges, Ákos
Papp, Henrietta
de Raad, Markus
King, Zachary A
Hefner, Ying
Northen, Trent R
Notebaart, Richard A
Pál, Csaba
Palsson, Bernhard O
Papp, Balázs
Feist, Adam M
Enzyme promiscuity shapes adaptation to novel growth substrates
title Enzyme promiscuity shapes adaptation to novel growth substrates
title_full Enzyme promiscuity shapes adaptation to novel growth substrates
title_fullStr Enzyme promiscuity shapes adaptation to novel growth substrates
title_full_unstemmed Enzyme promiscuity shapes adaptation to novel growth substrates
title_short Enzyme promiscuity shapes adaptation to novel growth substrates
title_sort enzyme promiscuity shapes adaptation to novel growth substrates
topic Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452873/
https://www.ncbi.nlm.nih.gov/pubmed/30962359
http://dx.doi.org/10.15252/msb.20188462
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