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Customized optimization of metabolic pathways by combinatorial transcriptional engineering

A major challenge in metabolic engineering and synthetic biology is to balance the flux of an engineered heterologous metabolic pathway to achieve high yield and productivity in a target organism. Here, we report a simple, efficient and programmable approach named ‘customized optimization of metabol...

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Detalles Bibliográficos
Autores principales: Du, Jing, Yuan, Yongbo, Si, Tong, Lian, Jiazhang, Zhao, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467037/
https://www.ncbi.nlm.nih.gov/pubmed/22718979
http://dx.doi.org/10.1093/nar/gks549
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author Du, Jing
Yuan, Yongbo
Si, Tong
Lian, Jiazhang
Zhao, Huimin
author_facet Du, Jing
Yuan, Yongbo
Si, Tong
Lian, Jiazhang
Zhao, Huimin
author_sort Du, Jing
collection PubMed
description A major challenge in metabolic engineering and synthetic biology is to balance the flux of an engineered heterologous metabolic pathway to achieve high yield and productivity in a target organism. Here, we report a simple, efficient and programmable approach named ‘customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER)’ for rapid tuning of gene expression in a heterologous pathway under distinct metabolic backgrounds. Specifically, a library of mutant pathways is created by de novo assembly of promoter mutants of varying strengths for each pathway gene in a target organism followed by high-throughput screening/selection. To demonstrate this approach, a single round of COMPACTER was used to generate both a xylose utilizing pathway with near-highest efficiency and a cellobiose utilizing pathway with highest efficiency that were ever reported in literature for both laboratory and industrial yeast strains. Interestingly, these engineered xylose and cellobiose utilizing pathways were all host-specific. Therefore, COMPACTER represents a powerful approach to tailor-make metabolic pathways for different strain backgrounds, which is difficult if not impossible to achieve by existing pathway engineering methods.
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spelling pubmed-34670372012-10-10 Customized optimization of metabolic pathways by combinatorial transcriptional engineering Du, Jing Yuan, Yongbo Si, Tong Lian, Jiazhang Zhao, Huimin Nucleic Acids Res Methods Online A major challenge in metabolic engineering and synthetic biology is to balance the flux of an engineered heterologous metabolic pathway to achieve high yield and productivity in a target organism. Here, we report a simple, efficient and programmable approach named ‘customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER)’ for rapid tuning of gene expression in a heterologous pathway under distinct metabolic backgrounds. Specifically, a library of mutant pathways is created by de novo assembly of promoter mutants of varying strengths for each pathway gene in a target organism followed by high-throughput screening/selection. To demonstrate this approach, a single round of COMPACTER was used to generate both a xylose utilizing pathway with near-highest efficiency and a cellobiose utilizing pathway with highest efficiency that were ever reported in literature for both laboratory and industrial yeast strains. Interestingly, these engineered xylose and cellobiose utilizing pathways were all host-specific. Therefore, COMPACTER represents a powerful approach to tailor-make metabolic pathways for different strain backgrounds, which is difficult if not impossible to achieve by existing pathway engineering methods. Oxford University Press 2012-10 2012-06-18 /pmc/articles/PMC3467037/ /pubmed/22718979 http://dx.doi.org/10.1093/nar/gks549 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Du, Jing
Yuan, Yongbo
Si, Tong
Lian, Jiazhang
Zhao, Huimin
Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title_full Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title_fullStr Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title_full_unstemmed Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title_short Customized optimization of metabolic pathways by combinatorial transcriptional engineering
title_sort customized optimization of metabolic pathways by combinatorial transcriptional engineering
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467037/
https://www.ncbi.nlm.nih.gov/pubmed/22718979
http://dx.doi.org/10.1093/nar/gks549
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