COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS
Traditional metabolic engineering analyzes biosynthetic and physiological pathways, identifies bottlenecks, and makes targeted genetic modifications with the ultimate goal of increasing the production of high-value products in living cells. Such efforts have led to the development of a variety of or...
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doaj-9f6764deecc3460c8c7ca36b9e55e0b12020-11-24T21:05:13ZengElsevierComputational and Structural Biotechnology Journal2001-03702012-10-013410.5936/csbj.201210021COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONSGeorgios Skretas0Fragiskos N. Kolisis1Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, GreeceBiotechnology Laboratory, School of Chemical Engineering, National Technical University of Athens – Zografou Campus, Athens, GreeceTraditional metabolic engineering analyzes biosynthetic and physiological pathways, identifies bottlenecks, and makes targeted genetic modifications with the ultimate goal of increasing the production of high-value products in living cells. Such efforts have led to the development of a variety of organisms with industrially relevant properties. However, there are a number of cellular phenotypes important for research and the industry for which the rational selection of cellular targets for modification is not easy or possible. In these cases, strain engineering can be alternatively carried out using “inverse metabolic engineering”, an approach that first generates genetic diversity by subjecting a population of cells to a particular mutagenic process, and then utilizes genetic screens or selections to identify the clones exhibiting the desired phenotype. Given the availability of an appropriate screen for a particular property, the success of inverse metabolic engineering efforts usually depends on the level and quality of genetic diversity which can be generated. Here, we review classic and recently developed combinatorial approaches for creating such genetic diversity and discuss the use of these methodologies in inverse metabolic engineering applications.http://www.sciencedirect.com/science/article/pii/S2001037014600775inverse metabolic engineeringgenetic engineeringmicrobesgenetic screeningmutagenesis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Georgios Skretas Fragiskos N. Kolisis |
spellingShingle |
Georgios Skretas Fragiskos N. Kolisis COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS Computational and Structural Biotechnology Journal inverse metabolic engineering genetic engineering microbes genetic screening mutagenesis |
author_facet |
Georgios Skretas Fragiskos N. Kolisis |
author_sort |
Georgios Skretas |
title |
COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS |
title_short |
COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS |
title_full |
COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS |
title_fullStr |
COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS |
title_full_unstemmed |
COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS |
title_sort |
combinatorial approaches for inverse metabolic engineering applications |
publisher |
Elsevier |
series |
Computational and Structural Biotechnology Journal |
issn |
2001-0370 |
publishDate |
2012-10-01 |
description |
Traditional metabolic engineering analyzes biosynthetic and physiological pathways, identifies bottlenecks, and makes targeted genetic modifications with the ultimate goal of increasing the production of high-value products in living cells. Such efforts have led to the development of a variety of organisms with industrially relevant properties. However, there are a number of cellular phenotypes important for research and the industry for which the rational selection of cellular targets for modification is not easy or possible. In these cases, strain engineering can be alternatively carried out using “inverse metabolic engineering”, an approach that first generates genetic diversity by subjecting a population of cells to a particular mutagenic process, and then utilizes genetic screens or selections to identify the clones exhibiting the desired phenotype. Given the availability of an appropriate screen for a particular property, the success of inverse metabolic engineering efforts usually depends on the level and quality of genetic diversity which can be generated. Here, we review classic and recently developed combinatorial approaches for creating such genetic diversity and discuss the use of these methodologies in inverse metabolic engineering applications. |
topic |
inverse metabolic engineering genetic engineering microbes genetic screening mutagenesis |
url |
http://www.sciencedirect.com/science/article/pii/S2001037014600775 |
work_keys_str_mv |
AT georgiosskretas combinatorialapproachesforinversemetabolicengineeringapplications AT fragiskosnkolisis combinatorialapproachesforinversemetabolicengineeringapplications |
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