Emerging engineering principles for yield improvement in microbial cell design

Metabolic Engineering has undertaken a rapid transformation in the last ten years making real progress towards the production of a wide range of molecules and fine chemicals using a designed cellular host. However, the maximization of product yields through pathway optimization is a constant and cen...

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Main Authors: Santiago Comba, Ana Arabolaza, Hugo Gramajo
Format: Article
Language:English
Published: Elsevier 2012-10-01
Series:Computational and Structural Biotechnology Journal
Online Access:http://journals.sfu.ca/rncsb/index.php/csbj/article/view/csbj.201210016
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spelling doaj-b978e10a2a82413993f86f84ece465812020-11-24T23:48:50ZengElsevierComputational and Structural Biotechnology Journal2001-03702012-10-0134e201210016Emerging engineering principles for yield improvement in microbial cell designSantiago CombaAna ArabolazaHugo GramajoMetabolic Engineering has undertaken a rapid transformation in the last ten years making real progress towards the production of a wide range of molecules and fine chemicals using a designed cellular host. However, the maximization of product yields through pathway optimization is a constant and central challenge of this field. Traditional methods used to improve the production of target compounds from engineered biosynthetic pathways in non-native hosts include: codon usage optimization, elimination of the accumulation of toxic intermediates or byproducts, enhanced production of rate-limiting enzymes, selection of appropriate promoter and ribosome binding sites, application of directed evolution of enzymes, and chassis re-circuit. Overall, these approaches tend to be specific for each engineering project rather than a systematic practice based on a more generalizable strategy. In this mini-review, we highlight some novel and extensive approaches and tools intended to address the improvement of a target product formation, founded in sophisticated principles such as dynamic control, pathway genes modularization, and flux modeling.http://journals.sfu.ca/rncsb/index.php/csbj/article/view/csbj.201210016
collection DOAJ
language English
format Article
sources DOAJ
author Santiago Comba
Ana Arabolaza
Hugo Gramajo
spellingShingle Santiago Comba
Ana Arabolaza
Hugo Gramajo
Emerging engineering principles for yield improvement in microbial cell design
Computational and Structural Biotechnology Journal
author_facet Santiago Comba
Ana Arabolaza
Hugo Gramajo
author_sort Santiago Comba
title Emerging engineering principles for yield improvement in microbial cell design
title_short Emerging engineering principles for yield improvement in microbial cell design
title_full Emerging engineering principles for yield improvement in microbial cell design
title_fullStr Emerging engineering principles for yield improvement in microbial cell design
title_full_unstemmed Emerging engineering principles for yield improvement in microbial cell design
title_sort emerging engineering principles for yield improvement in microbial cell design
publisher Elsevier
series Computational and Structural Biotechnology Journal
issn 2001-0370
publishDate 2012-10-01
description Metabolic Engineering has undertaken a rapid transformation in the last ten years making real progress towards the production of a wide range of molecules and fine chemicals using a designed cellular host. However, the maximization of product yields through pathway optimization is a constant and central challenge of this field. Traditional methods used to improve the production of target compounds from engineered biosynthetic pathways in non-native hosts include: codon usage optimization, elimination of the accumulation of toxic intermediates or byproducts, enhanced production of rate-limiting enzymes, selection of appropriate promoter and ribosome binding sites, application of directed evolution of enzymes, and chassis re-circuit. Overall, these approaches tend to be specific for each engineering project rather than a systematic practice based on a more generalizable strategy. In this mini-review, we highlight some novel and extensive approaches and tools intended to address the improvement of a target product formation, founded in sophisticated principles such as dynamic control, pathway genes modularization, and flux modeling.
url http://journals.sfu.ca/rncsb/index.php/csbj/article/view/csbj.201210016
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