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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3467037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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