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In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology

In order to maximize the production of biologically-derived chemicals, kinetic analyses are first necessary for predicting the role of enzyme components and coordinating enzymes in the same reaction system. Precorrin-2 is a key precursor of cobalamin and siroheme synthesis. In this study, we sought...

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Autores principales: Fang, Huan, Dong, Huina, Cai, Tao, Zheng, Ping, Li, Haixing, Zhang, Dawei, Sun, Jibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790935/
https://www.ncbi.nlm.nih.gov/pubmed/26974652
http://dx.doi.org/10.1371/journal.pone.0151149
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author Fang, Huan
Dong, Huina
Cai, Tao
Zheng, Ping
Li, Haixing
Zhang, Dawei
Sun, Jibin
author_facet Fang, Huan
Dong, Huina
Cai, Tao
Zheng, Ping
Li, Haixing
Zhang, Dawei
Sun, Jibin
author_sort Fang, Huan
collection PubMed
description In order to maximize the production of biologically-derived chemicals, kinetic analyses are first necessary for predicting the role of enzyme components and coordinating enzymes in the same reaction system. Precorrin-2 is a key precursor of cobalamin and siroheme synthesis. In this study, we sought to optimize the concentrations of several molecules involved in precorrin-2 synthesis in vitro: porphobilinogen synthase (PBGS), porphobilinogen deaminase (PBGD), uroporphyrinogen III synthase (UROS), and S-adenosyl-l-methionine-dependent urogen III methyltransferase (SUMT). Response surface methodology was applied to develop a kinetic model designed to maximize precorrin-2 productivity. The optimal molar ratios of PBGS, PBGD, UROS, and SUMT were found to be approximately 1:7:7:34, respectively. Maximum precorrin-2 production was achieved at 0.1966 ± 0.0028 μM/min, agreeing with the kinetic model’s predicted value of 0.1950 μM/min. The optimal concentrations of the cofactor S-adenosyl-L-methionine (SAM) and substrate 5-aminolevulinic acid (ALA) were also determined to be 200 μM and 5 mM, respectively, in a tandem-enzyme assay. By optimizing the relative concentrations of these enzymes, we were able to minimize the effects of substrate inhibition and feedback inhibition by S-adenosylhomocysteine on SUMT and thereby increase the production of precorrin-2 by approximately five-fold. These results demonstrate the effectiveness of kinetic modeling via response surface methodology for maximizing the production of biologically-derived chemicals.
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spelling pubmed-47909352016-03-23 In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology Fang, Huan Dong, Huina Cai, Tao Zheng, Ping Li, Haixing Zhang, Dawei Sun, Jibin PLoS One Research Article In order to maximize the production of biologically-derived chemicals, kinetic analyses are first necessary for predicting the role of enzyme components and coordinating enzymes in the same reaction system. Precorrin-2 is a key precursor of cobalamin and siroheme synthesis. In this study, we sought to optimize the concentrations of several molecules involved in precorrin-2 synthesis in vitro: porphobilinogen synthase (PBGS), porphobilinogen deaminase (PBGD), uroporphyrinogen III synthase (UROS), and S-adenosyl-l-methionine-dependent urogen III methyltransferase (SUMT). Response surface methodology was applied to develop a kinetic model designed to maximize precorrin-2 productivity. The optimal molar ratios of PBGS, PBGD, UROS, and SUMT were found to be approximately 1:7:7:34, respectively. Maximum precorrin-2 production was achieved at 0.1966 ± 0.0028 μM/min, agreeing with the kinetic model’s predicted value of 0.1950 μM/min. The optimal concentrations of the cofactor S-adenosyl-L-methionine (SAM) and substrate 5-aminolevulinic acid (ALA) were also determined to be 200 μM and 5 mM, respectively, in a tandem-enzyme assay. By optimizing the relative concentrations of these enzymes, we were able to minimize the effects of substrate inhibition and feedback inhibition by S-adenosylhomocysteine on SUMT and thereby increase the production of precorrin-2 by approximately five-fold. These results demonstrate the effectiveness of kinetic modeling via response surface methodology for maximizing the production of biologically-derived chemicals. Public Library of Science 2016-03-14 /pmc/articles/PMC4790935/ /pubmed/26974652 http://dx.doi.org/10.1371/journal.pone.0151149 Text en © 2016 Fang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Fang, Huan
Dong, Huina
Cai, Tao
Zheng, Ping
Li, Haixing
Zhang, Dawei
Sun, Jibin
In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title_full In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title_fullStr In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title_full_unstemmed In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title_short In Vitro Optimization of Enzymes Involved in Precorrin-2 Synthesis Using Response Surface Methodology
title_sort in vitro optimization of enzymes involved in precorrin-2 synthesis using response surface methodology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790935/
https://www.ncbi.nlm.nih.gov/pubmed/26974652
http://dx.doi.org/10.1371/journal.pone.0151149
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